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description Publicationkeyboard_double_arrow_right Article 2023 Spain, United Kingdom, FrancePublisher:Elsevier BV Funded by:EC | PEGASOSEC| PEGASOSAuthors: Marsailidh M. Twigg; Chiara F. Di Marco; Elizabeth A. McGhee; Christine F. Braban; +21 AuthorsMarsailidh M. Twigg; Chiara F. Di Marco; Elizabeth A. McGhee; Christine F. Braban; Eiko Nemitz; Richard J.C. Brown; Kevin C. Blakley; Sarah R. Leeson; Agnieszka Sanocka; David C. Green; Max Priestman; Veronique Riffault; Aude Bourin; Maria Cruz Minguillón; Marta Via; Jurgita Ovadnevaite; Darius Ceburnis; Colin O'Dowd; Laurent Poulain; Bastian Stieger; Ulla Makkonen; Ian C. Rumsey; Gregory Beachley; John T. Walker; David M. Butterfield;handle: 10261/338019
Under the EU Air Quality Directive (AQD) 2008/50/EC member states are required to undertake routine monitoring of PM2.5 composition at background stations. The AQD states for PM2.5 speciation this should include at least: nitrate (NO3−), sulfate (SO42−), chloride (Cl−), ammonium (NH4+), sodium (Na+), potassium (K+), magnesium (Mg2+), calcium (Ca2+), elemental carbon (EC) and organic carbon (OC). Until 2017, it was the responsibility of each country to determine the methodology used to report the composition for the inorganic components of PM2.5. In August 2017 a European standard method of measurement of PM2.5 inorganic chemical components (NO3−, SO42−, Cl−, NH4+, Na+, K+, Mg2+, Ca2+) as deposited on filters (EN16913:2017) was published. From August 2019 this then became the European standard method. This filter method is labour-intensive and provides limited time resolution and is prone to losses of volatile compounds. There is therefore increasing interest in the use of alternative automated methods. For example, the UK reports hourly PM2.5 chemical composition using the Monitor for AeRosols and Gases in Ambient air (MARGA, Metrohm, NL). This study is a pre-assessment review of available data to demonstrate if or to what extent equivalence is possible using either the MARGA or other available automatic methods, including the Aerosol Chemical Speciation Monitor (ACSM, Aerodyne Research Inc. US) and the Ambient Ion Monitor (AIM, URG, US). To demonstrate equivalence three objectives were to be met. The first two objectives focused on data capture and were met by all three instruments. The third objective was to have less than a 50% expanded uncertainty compared to the reference method for each species. Analysis of this objective was carried out using existing paired datasets available from different regions around the world. It was found that the MARGA (2006–2019 model) had the potential to demonstrate equivalence for all species in the standard, though it was only through a combination of case studies that it passed uncertainty criteria. The ACSM has the potential to demonstrate equivalence for NH4+, SO42−, and in some conditions NO3−, but did not for Cl− due to its inability to quantify refractory aerosol such as sea salt. The AIM has the potential for NH4+, NO3−, SO42−, Cl− and Mg2+. Future investigations are required to determine if the AIM could be optimised to meet the expanded uncertainty criterion for Na+, K+ and Ca2+. The recommendation is that a second stage to demonstrate equivalence is required which would include both laboratory and field studies of the three candidate methods and any other technologies identified with the potential to report the required species. The authors would like to thank the UK Environment Agency who funded this study. The measurements in this study were funded by the following bodies: - All the UK datasets were funded by UK Environment Agency under the UK Eutrophying and Acidifying Pollutant Network and the UKs Particle Numbers and Concentrations Network. The Auchencorth Moss measurements are supported by NERC UK Status, change and Projections of the Environment UK-SCaPE (NE/R016429/1). - The Revin fieldsite is coordinated by IMT Nord Europe in collaboration with the regional monitoring network (Atmo Grand-Est) and the National Reference Laboratory for Air Quality Monitoring (LCSQA) and funded by the French Ministry of Environment. ACSM measurements were supported by the Labex CaPPA project, which is funded by the French National Research Agency (ANR) through the PIA (Programme d’Investissement d’Avenir) under contract ANR-11-LABX-0005-01, and were part of the COST COLOSSAL Action CA16109. - Measurements in Barcelona Palau Reial were funded by the Spanish Ministry of Science and Innovation through CAIAC project (PID2019-108990RB-I00) and FEDER funds, through EQC2018-004598-P. - Measurements at the Mace Head Atmospheric Research Station are supported by the EPA-Ireland and the Department of Environment, Climate and Communications. - The Germany Federal Environment Agency (UBA) provided the financial support of this study and the deployment of the MARGA at the research station Melpitz under contracts No: 351 01 093 and 351 01 070. - The data from Kumpula was supported by the Academy of Finland as part of the Centre of Excellence program (project no 1118615). - US EPA gratefully acknowledges the contributions of Battelle and Wood (formerly Amec, Foster Wheeler) to the Research Triangle Park study. - The data from the San Pietro Capofiume was funded by the PEGASOS EU FP7 project. Peer reviewed
NERC Open Research A... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICArticle . 2023 . Peer-reviewedSpiral - Imperial College Digital RepositoryArticle . 2023License: CC BYData sources: Spiral - Imperial College Digital Repositoryadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 20visibility views 20 download downloads 54 Powered bymore_vert NERC Open Research A... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICArticle . 2023 . Peer-reviewedSpiral - Imperial College Digital RepositoryArticle . 2023License: CC BYData sources: Spiral - Imperial College Digital Repositoryadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2023 United KingdomPublisher:Copernicus GmbH Funded by:EC | ACTRIS, EC | RI-URBANS, EC | ACTRIS-2 +1 projectsEC| ACTRIS ,EC| RI-URBANS ,EC| ACTRIS-2 ,EC| ERA-PLANETS. Atabakhsh; L. Poulain; G. Chen; G. Chen; F. Canonaco; F. Canonaco; A. S. H. Prévôt; M. Pöhlker; A. Wiedensohler; H. Herrmann;Atmospheric aerosol particles are a complex combination of primary emitted sources (biogenic and anthropogenic) and secondary aerosol resulting from aging processes such as condensation, coagulation, and cloud processing. To better understand their sources, investigations have been focused on urban areas in the past, whereas rural-background stations are normally less impacted by surrounding anthropogenic sources. Therefore, they are predisposed for studying the impact of long-range transport of anthropogenic aerosols. Here, the chemical composition and organic aerosol (OA) sources of submicron aerosol particles measured by an aerosol chemical speciation monitor (ACSM) and a multi-angle absorption photometer (MAAP) were investigated at Melpitz from September 2016 to August 2017. The location of the station at the frontier between western and eastern Europe makes it the ideal place to investigate the impact of long-range transport over Europe. Indeed, the station is under the influence of less polluted air masses from westerly directions and more polluted continental air masses from eastern Europe. The OA dominated the submicron particle mass concentration and showed strong seasonal variability ranging from 39 % (in winter) to 58 % (in summer). It was followed by sulfate (15 % and 20 %) and nitrate (24 % and 11 %). The OA source identification was performed using the rolling positive matrix factorization (PMF) approach to account for the potential temporal changes in the source profile. It was possible to split OA into five factors with a distinct temporal variability and mass spectral signature. Three were associated with anthropogenic primary OA (POA) sources: hydrocarbon-like OA (HOA; 5.2 % of OA mass in winter and 6.8 % in summer), biomass burning OA (BBOA; 10.6 % and 6.1 %) and coal combustion OA (CCOA; 23 % and 8.7 %). Another two are secondary and processed oxygenated OA (OOA) sources: less oxidized OOA (LO-OOA; 28.4 % and 36.7 %) and more oxidized OOA (MO-OOA; 32.8 % and 41.8 %). Since equivalent black carbon (eBC) was clearly associated with the identified POA factors (sum of HOA, BBOA, and CCOA; R2= 0. 87), eBC's contribution to each of the POA factors was achieved using a multilinear regression model. Consequently, CCOA represented the main anthropogenic sources of carbonaceous aerosol (sum of OA and eBC) not only during winter (56 % of POA in winter) but also in summer (13 % of POA in summer), followed by BBOA (29 % and 69 % of POA in winter and summer, respectively) and HOA (15 % and 18 % of POA in winter and summer, respectively). A seasonal air mass cluster analysis was used to understand the geographical origins of the different aerosol types and showed that during both winter and summer time, PM1 (PM with an aerodynamic diameter smaller than 1 µm) air masses with eastern influence were always associated with the highest mass concentration and the highest coal combustion fraction. Since during wintertime CCOA is a combination of domestic heating and power plant emissions, the summer contribution of CCOA emphasizes the critical importance of coal power plant emissions to rural-background aerosols and its impact on air quality, through long-range transportation.
Atmospheric Chemistr... arrow_drop_down Atmospheric Chemistry and Physics (ACP)Article . 2023 . Peer-reviewedLicense: CC BYData sources: CrossrefSpiral - Imperial College Digital RepositoryArticle . 2023License: CC BYData sources: Spiral - Imperial College Digital RepositoryCopernicus Publications; Atmospheric Chemistry and Physics (ACP)Other literature type . 2023Data sources: Copernicus Publicationsadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess Routesgold 1 citations 1 popularity Average influence Average impulse Average Powered by BIP!visibility 5visibility views 5 download downloads 1 Powered bymore_vert Atmospheric Chemistr... arrow_drop_down Atmospheric Chemistry and Physics (ACP)Article . 2023 . Peer-reviewedLicense: CC BYData sources: CrossrefSpiral - Imperial College Digital RepositoryArticle . 2023License: CC BYData sources: Spiral - Imperial College Digital RepositoryCopernicus Publications; Atmospheric Chemistry and Physics (ACP)Other literature type . 2023Data sources: Copernicus Publicationsadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/acp-23-6963-2023&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2023 United Kingdom, DenmarkPublisher:Institute of Electrical and Electronics Engineers (IEEE) Funded by:EC | EUniversal, EC | VeriPhIED, UKRI | 2020 BSI extension for PA... +2 projectsEC| EUniversal ,EC| VeriPhIED ,UKRI| 2020 BSI extension for PAS work for Faraday and gap analysis ,EC| ITESLA ,UKRI| NetworkPlus - A green, connected and prosperous BritainJiawei Wang; Pierre Pinson; Spyros Chatzivasileiadis; Mathaios Panteli; Goran Strbac; Vladimir Terzija;Permanently increasing penetration of converter-interfaced generation and renewable energy sources (RESs) makes modern electrical power systems more vulnerable to low probability and high impact events, such as extreme weather, which could lead to severe contingencies, even blackouts. These contingencies can be further propagated to neighboring energy systems over coupling components/technologies and consequently negatively influence the entire multi-energy system (MES) (such as gas, heating and electricity) operation and its resilience. In recent years, machine learning-based techniques (MLBTs) have been intensively applied to solve various power system problems, including system planning, or security and reliability assessment. This paper aims to review MES resilience quantification methods and the application of MLBTs to assess the resilience level of future sustainable energy systems. The open research questions are identified and discussed, whereas the future research directions are identified.
Spiral - Imperial Co... arrow_drop_down Spiral - Imperial College Digital RepositoryArticle . 2022Data sources: Spiral - Imperial College Digital RepositoryOnline Research Database In TechnologyArticle . 2023Data sources: Online Research Database In TechnologyIEEE Transactions on Sustainable EnergyOther literature type . Article . 2023 . 2022 . Peer-reviewedLicense: IEEE Copyrightadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/tste.2022.3194728&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu1 citations 1 popularity Average influence Average impulse Average Powered by BIP!visibility 12visibility views 12 download downloads 14 Powered bymore_vert Spiral - Imperial Co... arrow_drop_down Spiral - Imperial College Digital RepositoryArticle . 2022Data sources: Spiral - Imperial College Digital RepositoryOnline Research Database In TechnologyArticle . 2023Data sources: Online Research Database In TechnologyIEEE Transactions on Sustainable EnergyOther literature type . Article . 2023 . 2022 . Peer-reviewedLicense: IEEE Copyrightadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/tste.2022.3194728&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 Australia, United Kingdom, Spain, NorwayPublisher:Springer Science and Business Media LLC Funded by:EC | ENRIECO, EC | ESCAPE, EC | ATHLETE +1 projectsEC| ENRIECO ,EC| ESCAPE ,EC| ATHLETE ,EC| HELIXLéa Maitre; Mariona Bustamante; Carles Hernández-Ferrer; Denise Thiel; Chung-Ho E. Lau; Alexandros P. Siskos; Marta Vives-Usano; Carlos Ruiz-Arenas; Dolors Pelegrí-Sisó; Oliver Robinson; Dan Mason; John Wright; Solène Cadiou; Rémy Slama; Barbara Heude; Maribel Casas; Jordi Sunyer; Eleni Z. Papadopoulou; Kristine B. Gutzkow; Sandra Andrusaityte; Regina Grazuleviciene; Marina Vafeiadi; Leda Chatzi; Amrit K. Sakhi; Cathrine Thomsen; Ibon Tamayo; Mark Nieuwenhuijsen; Jose Urquiza; Eva Borràs; Eduard Sabidó; Inés Quintela; Ángel Carracedo; Xavier Estivill; Muireann Coen; Juan R. González; Hector C. Keun; Martine Vrijheid;We would like to thank all the families for their generous contribution. The study has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 874583 (ATHLETE project). Data were collected as part of the European Community’s Seventh Framework Programme (FP7/2007-206) under grant agreement no 308333 (HELIX project). BiB received core infrastructure funding from the Wellcome Trust (WT101597MA) and a joint grant from the UK Medical Research Council (MRC) and Economic and Social Science Research Council (ESRC) (MR/N024397/1). INMA data collections were supported by grants from the Instituto de Salud Carlos III, CIBERESP, and the Generalitat de Catalunya-CIRIT. KANC was funded by the grant of the Lithuanian Agency for Science Innovation and Technology (6-04-2014_31V-66). The Norwegian Mother, Father and Child Cohort Study is supported by the Norwegian Ministry of Health and Care Services and the Ministry of Education and Research. The Rhea project was financially supported by European projects (EU FP6-2003-Food-3-NewGeneris, EU FP6. STREP Hiwate, EU FP7 ENV.2007.1.2.2.2. Project No 211250 Escape, EU FP7-2008-ENV-1.2.1.4 Envirogenomarkers, EU FP7-HEALTH-2009- single stage CHICOS, EU FP7 ENV.2008.1.2.1.6. Proposal No 226285 ENRIECO, EU- FP7- HEALTH-2012 Proposal No 308333 HELIX), and the Greek Ministry of Health (Program of Prevention of obesity and neurodevelopmental disorders in preschool children, in Heraklion district, Crete, Greece: 2011-2014; “Rhea Plus”: Primary Prevention Program of Environmental Risk Factors for Reproductive Health, and Child Health: 2012-15). ISGlobal acknowledges support from the Spanish Ministry of Science and Innovation through the “Centro de Excelencia Severo Ochoa 2019-2023” Program (CEX2018-000806-S), and support from the Generalitat de Catalunya through the CERCA Program. L.M. is funded by a Juan de la Cierva-Incorporación fellowship (IJC2018-035394-I) awarded by the Spanish Ministerio de Economía, Industria y Competitividad. M.V.-U. and C.R.-A. were supported by a FI fellowship from the Catalan Government (FI-DGR 2015 and #016FI_B 00272). M. Casas received funding from Instituto Carlos III (Ministry of Economy and Competitiveness) (CD12/00563 and MS16/00128). Environmental exposures during early life play a critical role in life-course health, yet the molecular phenotypes underlying environmental effects on health are poorly understood. In the Human Early Life Exposome (HELIX) project, a multi-centre cohort of 1301 mother-child pairs, we associate individual exposomes consisting of >100 chemical, outdoor, social and lifestyle exposures assessed in pregnancy and childhood, with multi-omics profiles (methylome, transcriptome, proteins and metabolites) in childhood. We identify 1170 associations, 249 in pregnancy and 921 in childhood, which reveal potential biological responses and sources of exposure. Pregnancy exposures, including maternal smoking, cadmium and molybdenum, are predominantly associated with child DNA methylation changes. In contrast, childhood exposures are associated with features across all omics layers, most frequently the serum metabolome, revealing signatures for diet, toxic chemical compounds, essential trace elements, and weather conditions, among others. Our comprehensive and unique resource of all associations ( https://helixomics.isglobal.org/ ) will serve to guide future investigation into the biological imprints of the early life exposome.
UPF Digital Reposito... arrow_drop_down UPF Digital Repository; Nature CommunicationsOther literature type . Article . 2022 . Peer-reviewedLicense: CC BYNorwegian Institute of Public Health Open RepositoryArticle . 2022Data sources: Norwegian Institute of Public Health Open RepositorySpiral - Imperial College Digital RepositoryArticle . 2022License: CC BYData sources: Spiral - Imperial College Digital Repositoryadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41467-022-34422-2&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 24 citations 24 popularity Top 10% influence Average impulse Top 10% Powered by BIP!visibility 6visibility views 6 download downloads 5 Powered bymore_vert UPF Digital Reposito... arrow_drop_down UPF Digital Repository; Nature CommunicationsOther literature type . Article . 2022 . Peer-reviewedLicense: CC BYNorwegian Institute of Public Health Open RepositoryArticle . 2022Data sources: Norwegian Institute of Public Health Open RepositorySpiral - Imperial College Digital RepositoryArticle . 2022License: CC BYData sources: Spiral - Imperial College Digital Repositoryadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41467-022-34422-2&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 France, Switzerland, United KingdomPublisher:American Chemical Society (ACS) Funded by:EC | ERA-PLANET, EC | RI-URBANS, SNSF | Source apportionment usin... +1 projectsEC| ERA-PLANET ,EC| RI-URBANS ,SNSF| Source apportionment using long-term Aerosol Mass Spectrometry and Aethalometer Measurements (SAMSAM) ,EC| ACTRIS-2Chen, Gang; Canonaco, Francesco; Slowik, Jay G.; Daellenbach, Kaspar R.; Tobler, Anna; Petit, Jean-Eudes; Favez, Olivier; Stavroulas, Iasonas; Mihalopoulos, Nikolaos; Gerasopoulos, Evangelos; El Haddad, Imad; Baltensperger, Urs; Prévôt, André S. H.;97% of the urban population in the EU in 2019 were exposed to an annual fine particulate matter level higher than the World Health Organization (WHO) guidelines (5 μg/m3). Organic aerosol (OA) is one of the major air pollutants, and the knowledge of its sources is crucial for designing cost-effective mitigation strategies. Positive matrix factorization (PMF) on aerosol mass spectrometer (AMS) or aerosol chemical speciation monitor (ACSM) data is the most common method for source apportionment (SA) analysis on ambient OA. However, conventional PMF requires extensive human labor, preventing the implementation of SA for routine monitoring applications. This study proposes the source finder real-time (SoFi RT, Datalystica Ltd.) approach for efficient retrieval of OA sources. The results generated by SoFi RT agree remarkably well with the conventional rolling PMF results regarding factor profiles, time series, diurnal patterns, and yearly relative contributions of OA factor on three year-long ACSM data sets collected in Athens, Paris, and Zurich. Although the initialization of SoFi RT requires a priori knowledge of OA sources (i.e., the approximate number of factors and relevant factor profiles) for the sampling site, this technique minimizes user interactions. Eventually, it could provide up-to-date trustable information on timescales useful to policymakers and air quality modelers. Environmental Science & Technology, 56 (22) ISSN:0013-936X ISSN:1520-5851
Mémoires en Sciences... arrow_drop_down Environmental Science & TechnologyOther literature type . Article . 2022 . Peer-reviewedLicense: CC BY NC NDSpiral - Imperial College Digital RepositoryArticle . 2022License: CC BY NC NDData sources: Spiral - Imperial College Digital Repositoryadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1021/acs.est.2c02509&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 2 citations 2 popularity Average influence Average impulse Average Powered by BIP!visibility 5visibility views 5 download downloads 2 Powered bymore_vert Mémoires en Sciences... arrow_drop_down Environmental Science & TechnologyOther literature type . Article . 2022 . Peer-reviewedLicense: CC BY NC NDSpiral - Imperial College Digital RepositoryArticle . 2022License: CC BY NC NDData sources: Spiral - Imperial College Digital Repositoryadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1021/acs.est.2c02509&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 United Kingdom EnglishPublisher:Elsevier BV Funded by:EC | ROLINCAPEC| ROLINCAPPerdomo, FA; Khalit, SH; Graham, EJ; Tzirakis, F; Papadopoulos, AI; Tsivintzelis, I; Seferlis, P; Adjiman, CS; Jackson, G; Galindo, A;A significant effort is under way to identify improved solvents for carbon dioxide (CO ) capture by chemisorption. We develop a predictive framework that is applicable to aqueous solvent + CO mixtures containing cyclic amines, alkyl polyamines, and alkanolamines. A number of the mixtures studied exhibit liquid–liquid phase separation, a behaviour that has shown promise in reducing the energetic cost of CO capture. The proposed framework is based on the SAFT- Mie group-contribution (GC) approach, in which chemical reactions are described via physical association models that allow a simpler, implicit, treatment of the chemical speciation characteristic of these mixtures. We use previously optimized group interaction parameters between some amine groups and water (Perdomo et al., 2021), and develop new group interactions for the cNH, cN, NH2, NH, N, cCHNH, and cCHN groups with CO2; a set of second-order group parameters are also developed to account for proximity effects in some alkanolamines. A combination of literature data and new experimental measurements for the absorption of CO2 in aqueous cyclohexylamine systems obtained in our current work, are used to develop and test the proposed models. The SAFT- Mie GC approach is used to predict the thermodynamics of selected mixtures, including ternary phase diagrams and mixing properties relevant in the context of CO2 capture. The current work constitutes a substantial extension of the range of aqueous amine-based solvents that can be modelled and thus offers the most comprehensive thermodynamically consistent platform to date to screen novel candidate solvents for CO2 capture.
Spiral - Imperial Co... arrow_drop_down Spiral - Imperial College Digital RepositoryArticle . 2022License: CC BYData sources: Spiral - Imperial College Digital RepositoryAll Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od______1032::29c2ffd00b1e3ccf84f3e73ebd0bebd5&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 5visibility views 5 download downloads 9 Powered bymore_vert Spiral - Imperial Co... arrow_drop_down Spiral - Imperial College Digital RepositoryArticle . 2022License: CC BYData sources: Spiral - Imperial College Digital RepositoryAll Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od______1032::29c2ffd00b1e3ccf84f3e73ebd0bebd5&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 Finland, Norway, Switzerland, Czech Republic, France, Spain, France, France, France, United KingdomPublisher:Elsevier BV Funded by:EC | ACTRIS-2, EC | ACTRIS, ANR | Cappa +8 projectsEC| ACTRIS-2 ,EC| ACTRIS ,ANR| Cappa ,EC| COALA ,SNSF| Particulate air pollution sources in low-income megacities ,EC| RI-URBANS ,EC| FORCeS ,EC| EMME-CARE ,EC| ERA-PLANET ,EC| INTEGRATE ,SNSF| Source apportionment using long-term Aerosol Mass Spectrometry and Aethalometer Measurements (SAMSAM)Chen, Gang; Canonaco, Francesco; Tobler, Anna; Aas, Wenche; Alastuey, Andres; Allan, James; Atabakhsh, Samira; Aurela, Minna; Baltensperger, Urs; Bougiatioti, Aikaterini; De Brito, Joel F.; Ceburnis, Darius; Chazeau, Benjamin; Chebaicheb, Hasna; Daellenbach, Kaspar R.; Ehn, Mikael; El Haddad, Imad; Eleftheriadis, Konstantinos; Favez, Olivier; Flentje, Harald; Font, Anna; Fossum, Kirsten; Freney, Evelyn; Gini, Maria; Green, David C; Heikkinen, Liine; Herrmann, Hartmut; Kalogridis, Athina-Cerise; Keernik, Hannes; Lhotka, Radek; Lin, Chunshui; Lunder, Chris; Maasikmets, Marek; Manousakas, Manousos I.; Marchand, Nicolas; Marin, Cristina; Marmureanu, Luminita; Mihalopoulos, Nikolaos; Močnik, Griša; Nęcki, Jaroslaw; O'Dowd, Colin; Ovadnevaite, Jurgita; Peter, Thomas; Petit, Jean-Eudes; Pikridas, Michael; Matthew Platt, Stephen; Pokorná, Petra; Poulain, Laurent; Priestman, Max; Riffault, Véronique; Rinaldi, Matteo; Różański, Kazimierz; Schwarz, Jaroslav; Sciare, Jean; Simon, Leïla; Skiba, Alicja; Slowik, Jay G.; Sosedova, Yulia; Stavroulas, Iasonas; Styszko, Katarzyna; Teinemaa, Erik; Timonen, Hilkka; Tremper, Anja; Vasilescu, Jeni; Via, Marta; Vodička, Petr; Wiedensohler, Alfred; Zografou, Olga; Cruz Minguillón, María; Prévôt, André S.H.;handle: 20.500.11850/554996 , 10138/350371 , 11104/0332000 , 10261/275204
pmid: 35716508
Organic aerosol (OA) is a key component of total submicron particulate matter (PM1), and comprehensive knowledge of OA sources across Europe is crucial to mitigate PM1 levels. Europe has a well-established air quality research infrastructure from which yearlong datasets using 21 aerosol chemical speciation monitors (ACSMs) and 1 aerosol mass spectrometer (AMS) were gathered during 2013–2019. It includes 9 non-urban and 13 urban sites. This study developed a state-of-the-art source apportionment protocol to analyse long-term OA mass spectrum data by applying the most advanced source apportionment strategies (i.e., rolling PMF, ME-2, and bootstrap). This harmonised protocol was followed strictly for all 22 datasets, making the source apportionment results more comparable. In addition, it enables quantification of the most common OA components such as hydrocarbon-like OA (HOA), biomass burning OA (BBOA), cooking-like OA (COA), more oxidised-oxygenated OA (MO-OOA), and less oxidised-oxygenated OA (LO-OOA). Other components such as coal combustion OA (CCOA), solid fuel OA (SFOA: mainly mixture of coal and peat combustion), cigarette smoke OA (CSOA), sea salt (mostly inorganic but part of the OA mass spectrum), coffee OA, and ship industry OA could also be separated at a few specific sites. Oxygenated OA (OOA) components make up most of the submicron OA mass (average = 71.1%, range from 43.7 to 100%). Solid fuel combustion-related OA components (i.e., BBOA, CCOA, and SFOA) are still considerable with in total 16.0% yearly contribution to the OA, yet mainly during winter months (21.4%). Overall, this comprehensive protocol works effectively across all sites governed by different sources and generates robust and consistent source apportionment results. Our work presents a comprehensive overview of OA sources in Europe with a unique combination of high time resolution (30–240 min) and long-term data coverage (9–36 months), providing essential information to improve/validate air quality, health impact, and climate models. Environment International, 166 ISSN:1873-6750 ISSN:0160-4120
Environment Internat... arrow_drop_down Environment International; The University of Manchester - Institutional RepositoryOther literature type . Article . 2022 . Peer-reviewedLicense: Elsevier TDMarXiv.org e-Print ArchiveOther literature type . Preprint . 2022Data sources: arXiv.org e-Print ArchiveSpiral - Imperial College Digital RepositoryArticle . 2022License: CC BYData sources: Spiral - Imperial College Digital RepositoryHELDA - Digital Repository of the University of HelsinkiArticle . 2022 . Peer-reviewedData sources: HELDA - Digital Repository of the University of HelsinkiRecolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICArticle . 2022 . Peer-reviewedRepository of the Czech Academy of SciencesArticle . 2022Data sources: Repository of the Czech Academy of SciencesHELDA - Digital Repository of the University of HelsinkiArticle . 2022 . Peer-reviewedData sources: HELDA - Digital Repository of the University of HelsinkiRepository of the Czech Academy of SciencesArticle . 2022Data sources: Repository of the Czech Academy of SciencesHAL Descartes; HAL Clermont Université; Mémoires en Sciences de l'Information et de la Communication; HAL AMU; HAL-CEAArticle . 2022License: CC BYFull-Text: https://hal.science/hal-03738357/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 39 citations 39 popularity Top 10% influence Average impulse Top 1% Powered by BIP!visibility 53visibility views 53 download downloads 211 Powered bymore_vert Environment Internat... arrow_drop_down Environment International; The University of Manchester - Institutional RepositoryOther literature type . Article . 2022 . Peer-reviewedLicense: Elsevier TDMarXiv.org e-Print ArchiveOther literature type . Preprint . 2022Data sources: arXiv.org e-Print ArchiveSpiral - Imperial College Digital RepositoryArticle . 2022License: CC BYData sources: Spiral - Imperial College Digital RepositoryHELDA - Digital Repository of the University of HelsinkiArticle . 2022 . Peer-reviewedData sources: HELDA - Digital Repository of the University of HelsinkiRecolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICArticle . 2022 . Peer-reviewedRepository of the Czech Academy of SciencesArticle . 2022Data sources: Repository of the Czech Academy of SciencesHELDA - Digital Repository of the University of HelsinkiArticle . 2022 . Peer-reviewedData sources: HELDA - Digital Repository of the University of HelsinkiRepository of the Czech Academy of SciencesArticle . 2022Data sources: Repository of the Czech Academy of SciencesHAL Descartes; HAL Clermont Université; Mémoires en Sciences de l'Information et de la Communication; HAL AMU; HAL-CEAArticle . 2022License: CC BYFull-Text: https://hal.science/hal-03738357/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Preprint 2022 Spain, France, France, France, United KingdomPublisher:Copernicus GmbH Funded by:EPA, ANR | Cappa, EC | ACTRIS-2 +8 projectsEPA ,ANR| Cappa ,EC| ACTRIS-2 ,EC| ACTRIS ,EC| EMME-CARE ,EC| ERA-PLANET ,SNSF| Particulate air pollution sources in low-income megacities ,EC| ACTRIS IMP ,EC| RI-URBANS ,Department of the Environment, Climate and Communications ,SNSF| Source apportionment using long-term Aerosol Mass Spectrometry and Aethalometer Measurements (SAMSAM)M. Via; M. Via; G. Chen; G. Chen; F. Canonaco; F. Canonaco; K. R. Daellenbach; B. Chazeau; H. Chebaicheb; H. Chebaicheb; J. Jiang; H. Keernik; H. Keernik; C. Lin; N. Marchand; C. Marin; C. Marin; C. O'Dowd; J. Ovadnevaite; J.-E. Petit; M. Pikridas; V. Riffault; J. Sciare; J. G. Slowik; L. Simon; L. Simon; J. Vasilescu; Y. Zhang; Y. Zhang; O. Favez; A. S. H. Prévôt; A. Alastuey; M. Cruz Minguillón;handle: 10261/282478
Particulate matter (PM) has become a major concern in terms of human health and climate impact. In particular, the source apportionment (SA) of organic aerosols (OA) present in submicron particles (PM1) has gained relevance as an atmospheric research field due to the diversity and complexity of its primary sources and secondary formation processes. Moreover, relatively simple but robust instruments such as the Aerosol Chemical Speciation Monitor (ACSM) are now widely available for the near-real-time online determination of the composition of the non-refractory PM1. One of the most used tools for SA purposes is the source-receptor positive matrix factorisation (PMF) model. Even though the recently developed rolling PMF technique has already been used for OA SA on ACSM datasets, no study has assessed its added value compared to the more common seasonal PMF method using a practical approach yet. In this paper, both techniques were applied to a synthetic dataset and to nine European ACSM datasets in order to spot the main output discrepancies between methods. The main advantage of the synthetic dataset approach was that the methods' outputs could be compared to the expected "true"values, i.e. the original synthetic dataset values. This approach revealed similar apportionment results amongst methods, although the rolling PMF profile's adaptability feature proved to be advantageous, as it generated output profiles that moved nearer to the truth points. Nevertheless, these results highlighted the impact of the profile anchor on the solution, as the use of a different anchor with respect to the truth led to significantly different results in both methods. In the multi-site study, while differences were generally not significant when considering year-long periods, their importance grew towards shorter time spans, as in intra-month or intra-day cycles. As far as correlation with external measurements is concerned, rolling PMF performed better than seasonal PMF globally for the ambient datasets investigated here, especially in periods between seasons. The results of this multi-site comparison coincide with the synthetic dataset in terms of rolling-seasonal similarity and rolling PMF reporting moderate improvements. Altogether, the results of this study provide solid evidence of the robustness of both methods and of the overall efficiency of the recently proposed rolling PMF approach. Acknowledgements IDAEA-CSIC is a Centre of Excellence Severo Ochoa (Spanish Ministry of Science and Innovation, Project CEX2018-000794-S). The authors gratefully acknowledge the Romanian National Air Quality Monitoring Network (NAQMN, https://www.calitateaer.ro/public/home-page/?__locale=ro, last access: September 2022) for providing NOx data. Financial support This research has been supported by the Generalitat de Catalunya (grant no. AGAUR 2017 SGR41), the European Cooperation in Science and Technology (grant no. COST Action CA16109 COLOSSAL), the Ministerio de Ciencia, Innovación y Universidades (CAIAC, grant no. PID2019-108990RB-I00 and FEDER, grant no. EQC2018-004598-P.), the Horizon 2020, the Ministry of Education and Research, Romania (grant nos. PN-III-P1-1.1-TE-2019-0340 and 18PFE/30.12.2021, 18N/2019), the Agence Nationale de la Recherche (grant no. PIA, ANR-11_LABX-0005-01), the Conseil Régional Hauts-de-France (CLIMIBIO grant), the Ministère de l'Enseignement Supérieur et de la Recherche (CARA grant), the Environmental Protection Agency (AEROSOURCE, grant no. 2016-CCRP-MS-31), the Department of the Environment, Climate and Communications (AC3 network grant), and the Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (SAMSAM, grant nos. IZCOZ9_177063 and PZPGP2_201992). We acknowledge support of the publication fee by the CSIC Open Access Publication Support Initiative through its Unit of Information Resources for Research (URICI). Peer reviewed
Atmospheric Measurem... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICArticle . 2022 . Peer-reviewedSpiral - Imperial College Digital RepositoryArticle . 2022License: CC BYData sources: Spiral - Imperial College Digital RepositoryCopernicus Publications; Atmospheric Measurement Techniques (AMT)Other literature type . 2022Data sources: Copernicus Publicationshttps://doi.org/10.5194/egusph...Preprint . 2022 . Peer-reviewedLicense: CC BYData sources: CrossrefHAL Descartes; Mémoires en Sciences de l'Information et de la Communication; HAL AMU; HAL-CEAOther literature type . Conference object . 2022add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess Routesgold 2 citations 2 popularity Average influence Average impulse Average Powered by BIP!visibility 14visibility views 14 download downloads 46 Powered bymore_vert Atmospheric Measurem... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICArticle . 2022 . Peer-reviewedSpiral - Imperial College Digital RepositoryArticle . 2022License: CC BYData sources: Spiral - Imperial College Digital RepositoryCopernicus Publications; Atmospheric Measurement Techniques (AMT)Other literature type . 2022Data sources: Copernicus Publicationshttps://doi.org/10.5194/egusph...Preprint . 2022 . Peer-reviewedLicense: CC BYData sources: CrossrefHAL Descartes; Mémoires en Sciences de l'Information et de la Communication; HAL AMU; HAL-CEAOther literature type . Conference object . 2022add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 United Kingdom, NetherlandsPublisher:MDPI AG Funded by:EC | MAGIC, EC | PANACEA, EC | SOILCARE +1 projectsEC| MAGIC ,EC| PANACEA ,EC| SOILCARE ,EC| BIKECalliope Panoutsou; Sara Giarola; Dauda Ibrahim; Simone Verzandvoort; Berien Elbersen; Cato Sandford; Chris Malins; Maria Politi; George Vourliotakis; Vigh Enikő Zita; Viktória Vásáry; Efthymia Alexopoulou; Andrea Salimbeni; David Chiaramonti;doi: 10.3390/app12094623
Sustainable biofuels are an important tool for the decarbonisation of transport. This is especially true in aviation, maritime, and heavy-duty sectors with limited short-term alternatives. Their use by conventional transport fleets requires few changes to the existing infrastructure and engines, and thus their integration can be smooth and relatively rapid. Provision of feedstock should comply with sustainability principles for (i) producing additional biomass without distorting food and feed markets and (ii) addressing challenges for ecosystem services, including biodiversity, and soil quality. This paper performs a meta-analysis of current research for low indirect land use change (ILUC) risk biomass crops for sustainable biofuels that benefited either from improved agricultural practices or from cultivation in unused, abandoned, or severely degraded land. Two categories of biomass crops are considered here: oil and lignocellulosic. The findings confirm that there are significant opportunities to cultivate these crops in European agro-ecological zones with sustainable agronomic practices both in farming land and in land with natural constraints (unused, abandoned, and degraded land). These could produce additional low environmental impact feedstocks for biofuels and deliver economic benefits to farmers.
NARCIS; Research@WUR arrow_drop_down Applied SciencesOther literature type . Article . 2022 . Peer-reviewedLicense: CC BYFull-Text: http://www.mdpi.com/2076-3417/12/9/4623/pdfSpiral - Imperial College Digital RepositoryArticle . 2022License: CC BYData sources: Spiral - Imperial College Digital Repositoryadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess Routesgold 9 citations 9 popularity Top 10% influence Average impulse Top 10% Powered by BIP!visibility 2visibility views 2 download downloads 16 Powered bymore_vert NARCIS; Research@WUR arrow_drop_down Applied SciencesOther literature type . Article . 2022 . Peer-reviewedLicense: CC BYFull-Text: http://www.mdpi.com/2076-3417/12/9/4623/pdfSpiral - Imperial College Digital RepositoryArticle . 2022License: CC BYData sources: Spiral - Imperial College Digital Repositoryadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 United KingdomPublisher:Royal Society of Chemistry (RSC) Funded by:UKRI | Multiphysics and multisca..., EC | ACT, UKRI | Comparative assessment an... +1 projectsUKRI| Multiphysics and multiscale modelling for safe and feasible CO2 capture and storage ,EC| ACT ,UKRI| Comparative assessment and region-specific optimisation of GGR ,EC| NEGEMSolene Chiquier; Piera Patrizio; Mai Bui; Nixon Sunny; Niall Mac Dowell;doi: 10.1039/d2ee01021f
Carbon dioxide removal (CDR) is essential to deliver the climate objectives of the Paris Agreement. Whilst several CDR pathways have been identified, they vary significantly in terms of CO2 removal efficiency, elapsed time between their deployment and effective CO2 removal, and CO2 removal permanence. All these criteria are critical for the commercial-scale deployment of CDR. In this study, we evaluate a set of archetypal CDR pathways—including afforestation/reforestation (AR), bioenergy with carbon capture and storage (BECCS), biochar, direct air capture of CO2 with storage (DACCS) and enhanced weathering (EW)—through this lens. We present a series of thought experiments, considering different climates and forest types for AR, land types, e.g. impacting biomass yield and (direct and indirect) land use change, and biomass types for BECCS and biochar, capture processes for DACCS, and rock types for EW. Results show that AR can be highly efficient in delivering CDR, up to 95–99% under optimal conditions. However, regional bio-geophysical factors, such as the near-term relatively slow and limited forest growth in cold climates, or the long-term exposure to natural disturbances, e.g. wildfires in warm and dry climates, substantially reduces the overall CO2 removal efficiency of AR. Conversely, BECCS delivers immediate and permanent CDR, but its CO2 removal efficiency can be significantly impacted by any initial carbon debt associated with (direct and indirect) land use change, and thereby significantly delayed. Biochar achieves low CDR efficiency, in the range of 20–39% when it is first integrated with the soil, and that regardless of the biomass feedstock considered. Moreover, its CO2 removal efficiency can decrease to −3 to 5% with time, owing to the decay of biochar. Finally, as for BECCS, DACCS and EW deliver permanent CO2 removal, but their CO2 removal efficiencies are substantially characterized by the energy system within which they are deployed, in the range of −5 to 90% and 17–92%, respectively, if currently deployed. However, the CDR efficiency of EW can increase to 51–92% with time, owing to the carbonation rate of EW.
Energy & Environment... arrow_drop_down Spiral - Imperial College Digital RepositoryArticle . 2022License: CC BYData sources: Spiral - Imperial College Digital Repositoryadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess Routeshybrid 1 citations 1 popularity Average influence Average impulse Average Powered by BIP!visibility 33visibility views 33 download downloads 30 Powered bymore_vert Energy & Environment... arrow_drop_down Spiral - Imperial College Digital RepositoryArticle . 2022License: CC BYData sources: Spiral - Imperial College Digital Repositoryadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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description Publicationkeyboard_double_arrow_right Article 2023 Spain, United Kingdom, FrancePublisher:Elsevier BV Funded by:EC | PEGASOSEC| PEGASOSAuthors: Marsailidh M. Twigg; Chiara F. Di Marco; Elizabeth A. McGhee; Christine F. Braban; +21 AuthorsMarsailidh M. Twigg; Chiara F. Di Marco; Elizabeth A. McGhee; Christine F. Braban; Eiko Nemitz; Richard J.C. Brown; Kevin C. Blakley; Sarah R. Leeson; Agnieszka Sanocka; David C. Green; Max Priestman; Veronique Riffault; Aude Bourin; Maria Cruz Minguillón; Marta Via; Jurgita Ovadnevaite; Darius Ceburnis; Colin O'Dowd; Laurent Poulain; Bastian Stieger; Ulla Makkonen; Ian C. Rumsey; Gregory Beachley; John T. Walker; David M. Butterfield;handle: 10261/338019
Under the EU Air Quality Directive (AQD) 2008/50/EC member states are required to undertake routine monitoring of PM2.5 composition at background stations. The AQD states for PM2.5 speciation this should include at least: nitrate (NO3−), sulfate (SO42−), chloride (Cl−), ammonium (NH4+), sodium (Na+), potassium (K+), magnesium (Mg2+), calcium (Ca2+), elemental carbon (EC) and organic carbon (OC). Until 2017, it was the responsibility of each country to determine the methodology used to report the composition for the inorganic components of PM2.5. In August 2017 a European standard method of measurement of PM2.5 inorganic chemical components (NO3−, SO42−, Cl−, NH4+, Na+, K+, Mg2+, Ca2+) as deposited on filters (EN16913:2017) was published. From August 2019 this then became the European standard method. This filter method is labour-intensive and provides limited time resolution and is prone to losses of volatile compounds. There is therefore increasing interest in the use of alternative automated methods. For example, the UK reports hourly PM2.5 chemical composition using the Monitor for AeRosols and Gases in Ambient air (MARGA, Metrohm, NL). This study is a pre-assessment review of available data to demonstrate if or to what extent equivalence is possible using either the MARGA or other available automatic methods, including the Aerosol Chemical Speciation Monitor (ACSM, Aerodyne Research Inc. US) and the Ambient Ion Monitor (AIM, URG, US). To demonstrate equivalence three objectives were to be met. The first two objectives focused on data capture and were met by all three instruments. The third objective was to have less than a 50% expanded uncertainty compared to the reference method for each species. Analysis of this objective was carried out using existing paired datasets available from different regions around the world. It was found that the MARGA (2006–2019 model) had the potential to demonstrate equivalence for all species in the standard, though it was only through a combination of case studies that it passed uncertainty criteria. The ACSM has the potential to demonstrate equivalence for NH4+, SO42−, and in some conditions NO3−, but did not for Cl− due to its inability to quantify refractory aerosol such as sea salt. The AIM has the potential for NH4+, NO3−, SO42−, Cl− and Mg2+. Future investigations are required to determine if the AIM could be optimised to meet the expanded uncertainty criterion for Na+, K+ and Ca2+. The recommendation is that a second stage to demonstrate equivalence is required which would include both laboratory and field studies of the three candidate methods and any other technologies identified with the potential to report the required species. The authors would like to thank the UK Environment Agency who funded this study. The measurements in this study were funded by the following bodies: - All the UK datasets were funded by UK Environment Agency under the UK Eutrophying and Acidifying Pollutant Network and the UKs Particle Numbers and Concentrations Network. The Auchencorth Moss measurements are supported by NERC UK Status, change and Projections of the Environment UK-SCaPE (NE/R016429/1). - The Revin fieldsite is coordinated by IMT Nord Europe in collaboration with the regional monitoring network (Atmo Grand-Est) and the National Reference Laboratory for Air Quality Monitoring (LCSQA) and funded by the French Ministry of Environment. ACSM measurements were supported by the Labex CaPPA project, which is funded by the French National Research Agency (ANR) through the PIA (Programme d’Investissement d’Avenir) under contract ANR-11-LABX-0005-01, and were part of the COST COLOSSAL Action CA16109. - Measurements in Barcelona Palau Reial were funded by the Spanish Ministry of Science and Innovation through CAIAC project (PID2019-108990RB-I00) and FEDER funds, through EQC2018-004598-P. - Measurements at the Mace Head Atmospheric Research Station are supported by the EPA-Ireland and the Department of Environment, Climate and Communications. - The Germany Federal Environment Agency (UBA) provided the financial support of this study and the deployment of the MARGA at the research station Melpitz under contracts No: 351 01 093 and 351 01 070. - The data from Kumpula was supported by the Academy of Finland as part of the Centre of Excellence program (project no 1118615). - US EPA gratefully acknowledges the contributions of Battelle and Wood (formerly Amec, Foster Wheeler) to the Research Triangle Park study. - The data from the San Pietro Capofiume was funded by the PEGASOS EU FP7 project. Peer reviewed
NERC Open Research A... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICArticle . 2023 . Peer-reviewedSpiral - Imperial College Digital RepositoryArticle . 2023License: CC BYData sources: Spiral - Imperial College Digital Repositoryadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 20visibility views 20 download downloads 54 Powered bymore_vert NERC Open Research A... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICArticle . 2023 . Peer-reviewedSpiral - Imperial College Digital RepositoryArticle . 2023License: CC BYData sources: Spiral - Imperial College Digital Repositoryadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2023 United KingdomPublisher:Copernicus GmbH Funded by:EC | ACTRIS, EC | RI-URBANS, EC | ACTRIS-2 +1 projectsEC| ACTRIS ,EC| RI-URBANS ,EC| ACTRIS-2 ,EC| ERA-PLANETS. Atabakhsh; L. Poulain; G. Chen; G. Chen; F. Canonaco; F. Canonaco; A. S. H. Prévôt; M. Pöhlker; A. Wiedensohler; H. Herrmann;Atmospheric aerosol particles are a complex combination of primary emitted sources (biogenic and anthropogenic) and secondary aerosol resulting from aging processes such as condensation, coagulation, and cloud processing. To better understand their sources, investigations have been focused on urban areas in the past, whereas rural-background stations are normally less impacted by surrounding anthropogenic sources. Therefore, they are predisposed for studying the impact of long-range transport of anthropogenic aerosols. Here, the chemical composition and organic aerosol (OA) sources of submicron aerosol particles measured by an aerosol chemical speciation monitor (ACSM) and a multi-angle absorption photometer (MAAP) were investigated at Melpitz from September 2016 to August 2017. The location of the station at the frontier between western and eastern Europe makes it the ideal place to investigate the impact of long-range transport over Europe. Indeed, the station is under the influence of less polluted air masses from westerly directions and more polluted continental air masses from eastern Europe. The OA dominated the submicron particle mass concentration and showed strong seasonal variability ranging from 39 % (in winter) to 58 % (in summer). It was followed by sulfate (15 % and 20 %) and nitrate (24 % and 11 %). The OA source identification was performed using the rolling positive matrix factorization (PMF) approach to account for the potential temporal changes in the source profile. It was possible to split OA into five factors with a distinct temporal variability and mass spectral signature. Three were associated with anthropogenic primary OA (POA) sources: hydrocarbon-like OA (HOA; 5.2 % of OA mass in winter and 6.8 % in summer), biomass burning OA (BBOA; 10.6 % and 6.1 %) and coal combustion OA (CCOA; 23 % and 8.7 %). Another two are secondary and processed oxygenated OA (OOA) sources: less oxidized OOA (LO-OOA; 28.4 % and 36.7 %) and more oxidized OOA (MO-OOA; 32.8 % and 41.8 %). Since equivalent black carbon (eBC) was clearly associated with the identified POA factors (sum of HOA, BBOA, and CCOA; R2= 0. 87), eBC's contribution to each of the POA factors was achieved using a multilinear regression model. Consequently, CCOA represented the main anthropogenic sources of carbonaceous aerosol (sum of OA and eBC) not only during winter (56 % of POA in winter) but also in summer (13 % of POA in summer), followed by BBOA (29 % and 69 % of POA in winter and summer, respectively) and HOA (15 % and 18 % of POA in winter and summer, respectively). A seasonal air mass cluster analysis was used to understand the geographical origins of the different aerosol types and showed that during both winter and summer time, PM1 (PM with an aerodynamic diameter smaller than 1 µm) air masses with eastern influence were always associated with the highest mass concentration and the highest coal combustion fraction. Since during wintertime CCOA is a combination of domestic heating and power plant emissions, the summer contribution of CCOA emphasizes the critical importance of coal power plant emissions to rural-background aerosols and its impact on air quality, through long-range transportation.
Atmospheric Chemistr... arrow_drop_down Atmospheric Chemistry and Physics (ACP)Article . 2023 . Peer-reviewedLicense: CC BYData sources: CrossrefSpiral - Imperial College Digital RepositoryArticle . 2023License: CC BYData sources: Spiral - Imperial College Digital RepositoryCopernicus Publications; Atmospheric Chemistry and Physics (ACP)Other literature type . 2023Data sources: Copernicus Publicationsadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess Routesgold 1 citations 1 popularity Average influence Average impulse Average Powered by BIP!visibility 5visibility views 5 download downloads 1 Powered bymore_vert Atmospheric Chemistr... arrow_drop_down Atmospheric Chemistry and Physics (ACP)Article . 2023 . Peer-reviewedLicense: CC BYData sources: CrossrefSpiral - Imperial College Digital RepositoryArticle . 2023License: CC BYData sources: Spiral - Imperial College Digital RepositoryCopernicus Publications; Atmospheric Chemistry and Physics (ACP)Other literature type . 2023Data sources: Copernicus Publicationsadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2023 United Kingdom, DenmarkPublisher:Institute of Electrical and Electronics Engineers (IEEE) Funded by:EC | EUniversal, EC | VeriPhIED, UKRI | 2020 BSI extension for PA... +2 projectsEC| EUniversal ,EC| VeriPhIED ,UKRI| 2020 BSI extension for PAS work for Faraday and gap analysis ,EC| ITESLA ,UKRI| NetworkPlus - A green, connected and prosperous BritainJiawei Wang; Pierre Pinson; Spyros Chatzivasileiadis; Mathaios Panteli; Goran Strbac; Vladimir Terzija;Permanently increasing penetration of converter-interfaced generation and renewable energy sources (RESs) makes modern electrical power systems more vulnerable to low probability and high impact events, such as extreme weather, which could lead to severe contingencies, even blackouts. These contingencies can be further propagated to neighboring energy systems over coupling components/technologies and consequently negatively influence the entire multi-energy system (MES) (such as gas, heating and electricity) operation and its resilience. In recent years, machine learning-based techniques (MLBTs) have been intensively applied to solve various power system problems, including system planning, or security and reliability assessment. This paper aims to review MES resilience quantification methods and the application of MLBTs to assess the resilience level of future sustainable energy systems. The open research questions are identified and discussed, whereas the future research directions are identified.
Spiral - Imperial Co... arrow_drop_down Spiral - Imperial College Digital RepositoryArticle . 2022Data sources: Spiral - Imperial College Digital RepositoryOnline Research Database In TechnologyArticle . 2023Data sources: Online Research Database In TechnologyIEEE Transactions on Sustainable EnergyOther literature type . Article . 2023 . 2022 . Peer-reviewedLicense: IEEE Copyrightadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu1 citations 1 popularity Average influence Average impulse Average Powered by BIP!visibility 12visibility views 12 download downloads 14 Powered bymore_vert Spiral - Imperial Co... arrow_drop_down Spiral - Imperial College Digital RepositoryArticle . 2022Data sources: Spiral - Imperial College Digital RepositoryOnline Research Database In TechnologyArticle . 2023Data sources: Online Research Database In TechnologyIEEE Transactions on Sustainable EnergyOther literature type . Article . 2023 . 2022 . Peer-reviewedLicense: IEEE Copyrightadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/tste.2022.3194728&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 Australia, United Kingdom, Spain, NorwayPublisher:Springer Science and Business Media LLC Funded by:EC | ENRIECO, EC | ESCAPE, EC | ATHLETE +1 projectsEC| ENRIECO ,EC| ESCAPE ,EC| ATHLETE ,EC| HELIXLéa Maitre; Mariona Bustamante; Carles Hernández-Ferrer; Denise Thiel; Chung-Ho E. Lau; Alexandros P. Siskos; Marta Vives-Usano; Carlos Ruiz-Arenas; Dolors Pelegrí-Sisó; Oliver Robinson; Dan Mason; John Wright; Solène Cadiou; Rémy Slama; Barbara Heude; Maribel Casas; Jordi Sunyer; Eleni Z. Papadopoulou; Kristine B. Gutzkow; Sandra Andrusaityte; Regina Grazuleviciene; Marina Vafeiadi; Leda Chatzi; Amrit K. Sakhi; Cathrine Thomsen; Ibon Tamayo; Mark Nieuwenhuijsen; Jose Urquiza; Eva Borràs; Eduard Sabidó; Inés Quintela; Ángel Carracedo; Xavier Estivill; Muireann Coen; Juan R. González; Hector C. Keun; Martine Vrijheid;We would like to thank all the families for their generous contribution. The study has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 874583 (ATHLETE project). Data were collected as part of the European Community’s Seventh Framework Programme (FP7/2007-206) under grant agreement no 308333 (HELIX project). BiB received core infrastructure funding from the Wellcome Trust (WT101597MA) and a joint grant from the UK Medical Research Council (MRC) and Economic and Social Science Research Council (ESRC) (MR/N024397/1). INMA data collections were supported by grants from the Instituto de Salud Carlos III, CIBERESP, and the Generalitat de Catalunya-CIRIT. KANC was funded by the grant of the Lithuanian Agency for Science Innovation and Technology (6-04-2014_31V-66). The Norwegian Mother, Father and Child Cohort Study is supported by the Norwegian Ministry of Health and Care Services and the Ministry of Education and Research. The Rhea project was financially supported by European projects (EU FP6-2003-Food-3-NewGeneris, EU FP6. STREP Hiwate, EU FP7 ENV.2007.1.2.2.2. Project No 211250 Escape, EU FP7-2008-ENV-1.2.1.4 Envirogenomarkers, EU FP7-HEALTH-2009- single stage CHICOS, EU FP7 ENV.2008.1.2.1.6. Proposal No 226285 ENRIECO, EU- FP7- HEALTH-2012 Proposal No 308333 HELIX), and the Greek Ministry of Health (Program of Prevention of obesity and neurodevelopmental disorders in preschool children, in Heraklion district, Crete, Greece: 2011-2014; “Rhea Plus”: Primary Prevention Program of Environmental Risk Factors for Reproductive Health, and Child Health: 2012-15). ISGlobal acknowledges support from the Spanish Ministry of Science and Innovation through the “Centro de Excelencia Severo Ochoa 2019-2023” Program (CEX2018-000806-S), and support from the Generalitat de Catalunya through the CERCA Program. L.M. is funded by a Juan de la Cierva-Incorporación fellowship (IJC2018-035394-I) awarded by the Spanish Ministerio de Economía, Industria y Competitividad. M.V.-U. and C.R.-A. were supported by a FI fellowship from the Catalan Government (FI-DGR 2015 and #016FI_B 00272). M. Casas received funding from Instituto Carlos III (Ministry of Economy and Competitiveness) (CD12/00563 and MS16/00128). Environmental exposures during early life play a critical role in life-course health, yet the molecular phenotypes underlying environmental effects on health are poorly understood. In the Human Early Life Exposome (HELIX) project, a multi-centre cohort of 1301 mother-child pairs, we associate individual exposomes consisting of >100 chemical, outdoor, social and lifestyle exposures assessed in pregnancy and childhood, with multi-omics profiles (methylome, transcriptome, proteins and metabolites) in childhood. We identify 1170 associations, 249 in pregnancy and 921 in childhood, which reveal potential biological responses and sources of exposure. Pregnancy exposures, including maternal smoking, cadmium and molybdenum, are predominantly associated with child DNA methylation changes. In contrast, childhood exposures are associated with features across all omics layers, most frequently the serum metabolome, revealing signatures for diet, toxic chemical compounds, essential trace elements, and weather conditions, among others. Our comprehensive and unique resource of all associations ( https://helixomics.isglobal.org/ ) will serve to guide future investigation into the biological imprints of the early life exposome.
UPF Digital Reposito... arrow_drop_down UPF Digital Repository; Nature CommunicationsOther literature type . Article . 2022 . Peer-reviewedLicense: CC BYNorwegian Institute of Public Health Open RepositoryArticle . 2022Data sources: Norwegian Institute of Public Health Open RepositorySpiral - Imperial College Digital RepositoryArticle . 2022License: CC BYData sources: Spiral - Imperial College Digital Repositoryadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess Routesgold 24 citations 24 popularity Top 10% influence Average impulse Top 10% Powered by BIP!visibility 6visibility views 6 download downloads 5 Powered bymore_vert UPF Digital Reposito... arrow_drop_down UPF Digital Repository; Nature CommunicationsOther literature type . Article . 2022 . Peer-reviewedLicense: CC BYNorwegian Institute of Public Health Open RepositoryArticle . 2022Data sources: Norwegian Institute of Public Health Open RepositorySpiral - Imperial College Digital RepositoryArticle . 2022License: CC BYData sources: Spiral - Imperial College Digital Repositoryadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41467-022-34422-2&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 France, Switzerland, United KingdomPublisher:American Chemical Society (ACS) Funded by:EC | ERA-PLANET, EC | RI-URBANS, SNSF | Source apportionment usin... +1 projectsEC| ERA-PLANET ,EC| RI-URBANS ,SNSF| Source apportionment using long-term Aerosol Mass Spectrometry and Aethalometer Measurements (SAMSAM) ,EC| ACTRIS-2Chen, Gang; Canonaco, Francesco; Slowik, Jay G.; Daellenbach, Kaspar R.; Tobler, Anna; Petit, Jean-Eudes; Favez, Olivier; Stavroulas, Iasonas; Mihalopoulos, Nikolaos; Gerasopoulos, Evangelos; El Haddad, Imad; Baltensperger, Urs; Prévôt, André S. H.;97% of the urban population in the EU in 2019 were exposed to an annual fine particulate matter level higher than the World Health Organization (WHO) guidelines (5 μg/m3). Organic aerosol (OA) is one of the major air pollutants, and the knowledge of its sources is crucial for designing cost-effective mitigation strategies. Positive matrix factorization (PMF) on aerosol mass spectrometer (AMS) or aerosol chemical speciation monitor (ACSM) data is the most common method for source apportionment (SA) analysis on ambient OA. However, conventional PMF requires extensive human labor, preventing the implementation of SA for routine monitoring applications. This study proposes the source finder real-time (SoFi RT, Datalystica Ltd.) approach for efficient retrieval of OA sources. The results generated by SoFi RT agree remarkably well with the conventional rolling PMF results regarding factor profiles, time series, diurnal patterns, and yearly relative contributions of OA factor on three year-long ACSM data sets collected in Athens, Paris, and Zurich. Although the initialization of SoFi RT requires a priori knowledge of OA sources (i.e., the approximate number of factors and relevant factor profiles) for the sampling site, this technique minimizes user interactions. Eventually, it could provide up-to-date trustable information on timescales useful to policymakers and air quality modelers. Environmental Science & Technology, 56 (22) ISSN:0013-936X ISSN:1520-5851
Mémoires en Sciences... arrow_drop_down Environmental Science & TechnologyOther literature type . Article . 2022 . Peer-reviewedLicense: CC BY NC NDSpiral - Imperial College Digital RepositoryArticle . 2022License: CC BY NC NDData sources: Spiral - Imperial College Digital Repositoryadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1021/acs.est.2c02509&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 2 citations 2 popularity Average influence Average impulse Average Powered by BIP!visibility 5visibility views 5 download downloads 2 Powered bymore_vert Mémoires en Sciences... arrow_drop_down Environmental Science & TechnologyOther literature type . Article . 2022 . Peer-reviewedLicense: CC BY NC NDSpiral - Imperial College Digital RepositoryArticle . 2022License: CC BY NC NDData sources: Spiral - Imperial College Digital Repositoryadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 United Kingdom EnglishPublisher:Elsevier BV Funded by:EC | ROLINCAPEC| ROLINCAPPerdomo, FA; Khalit, SH; Graham, EJ; Tzirakis, F; Papadopoulos, AI; Tsivintzelis, I; Seferlis, P; Adjiman, CS; Jackson, G; Galindo, A;A significant effort is under way to identify improved solvents for carbon dioxide (CO ) capture by chemisorption. We develop a predictive framework that is applicable to aqueous solvent + CO mixtures containing cyclic amines, alkyl polyamines, and alkanolamines. A number of the mixtures studied exhibit liquid–liquid phase separation, a behaviour that has shown promise in reducing the energetic cost of CO capture. The proposed framework is based on the SAFT- Mie group-contribution (GC) approach, in which chemical reactions are described via physical association models that allow a simpler, implicit, treatment of the chemical speciation characteristic of these mixtures. We use previously optimized group interaction parameters between some amine groups and water (Perdomo et al., 2021), and develop new group interactions for the cNH, cN, NH2, NH, N, cCHNH, and cCHN groups with CO2; a set of second-order group parameters are also developed to account for proximity effects in some alkanolamines. A combination of literature data and new experimental measurements for the absorption of CO2 in aqueous cyclohexylamine systems obtained in our current work, are used to develop and test the proposed models. The SAFT- Mie GC approach is used to predict the thermodynamics of selected mixtures, including ternary phase diagrams and mixing properties relevant in the context of CO2 capture. The current work constitutes a substantial extension of the range of aqueous amine-based solvents that can be modelled and thus offers the most comprehensive thermodynamically consistent platform to date to screen novel candidate solvents for CO2 capture.
Spiral - Imperial Co... arrow_drop_down Spiral - Imperial College Digital RepositoryArticle . 2022License: CC BYData sources: Spiral - Imperial College Digital RepositoryAll Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od______1032::29c2ffd00b1e3ccf84f3e73ebd0bebd5&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 5visibility views 5 download downloads 9 Powered bymore_vert Spiral - Imperial Co... arrow_drop_down Spiral - Imperial College Digital RepositoryArticle . 2022License: CC BYData sources: Spiral - Imperial College Digital RepositoryAll Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od______1032::29c2ffd00b1e3ccf84f3e73ebd0bebd5&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 Finland, Norway, Switzerland, Czech Republic, France, Spain, France, France, France, United KingdomPublisher:Elsevier BV Funded by:EC | ACTRIS-2, EC | ACTRIS, ANR | Cappa +8 projectsEC| ACTRIS-2 ,EC| ACTRIS ,ANR| Cappa ,EC| COALA ,SNSF| Particulate air pollution sources in low-income megacities ,EC| RI-URBANS ,EC| FORCeS ,EC| EMME-CARE ,EC| ERA-PLANET ,EC| INTEGRATE ,SNSF| Source apportionment using long-term Aerosol Mass Spectrometry and Aethalometer Measurements (SAMSAM)Chen, Gang; Canonaco, Francesco; Tobler, Anna; Aas, Wenche; Alastuey, Andres; Allan, James; Atabakhsh, Samira; Aurela, Minna; Baltensperger, Urs; Bougiatioti, Aikaterini; De Brito, Joel F.; Ceburnis, Darius; Chazeau, Benjamin; Chebaicheb, Hasna; Daellenbach, Kaspar R.; Ehn, Mikael; El Haddad, Imad; Eleftheriadis, Konstantinos; Favez, Olivier; Flentje, Harald; Font, Anna; Fossum, Kirsten; Freney, Evelyn; Gini, Maria; Green, David C; Heikkinen, Liine; Herrmann, Hartmut; Kalogridis, Athina-Cerise; Keernik, Hannes; Lhotka, Radek; Lin, Chunshui; Lunder, Chris; Maasikmets, Marek; Manousakas, Manousos I.; Marchand, Nicolas; Marin, Cristina; Marmureanu, Luminita; Mihalopoulos, Nikolaos; Močnik, Griša; Nęcki, Jaroslaw; O'Dowd, Colin; Ovadnevaite, Jurgita; Peter, Thomas; Petit, Jean-Eudes; Pikridas, Michael; Matthew Platt, Stephen; Pokorná, Petra; Poulain, Laurent; Priestman, Max; Riffault, Véronique; Rinaldi, Matteo; Różański, Kazimierz; Schwarz, Jaroslav; Sciare, Jean; Simon, Leïla; Skiba, Alicja; Slowik, Jay G.; Sosedova, Yulia; Stavroulas, Iasonas; Styszko, Katarzyna; Teinemaa, Erik; Timonen, Hilkka; Tremper, Anja; Vasilescu, Jeni; Via, Marta; Vodička, Petr; Wiedensohler, Alfred; Zografou, Olga; Cruz Minguillón, María; Prévôt, André S.H.;handle: 20.500.11850/554996 , 10138/350371 , 11104/0332000 , 10261/275204
pmid: 35716508
Organic aerosol (OA) is a key component of total submicron particulate matter (PM1), and comprehensive knowledge of OA sources across Europe is crucial to mitigate PM1 levels. Europe has a well-established air quality research infrastructure from which yearlong datasets using 21 aerosol chemical speciation monitors (ACSMs) and 1 aerosol mass spectrometer (AMS) were gathered during 2013–2019. It includes 9 non-urban and 13 urban sites. This study developed a state-of-the-art source apportionment protocol to analyse long-term OA mass spectrum data by applying the most advanced source apportionment strategies (i.e., rolling PMF, ME-2, and bootstrap). This harmonised protocol was followed strictly for all 22 datasets, making the source apportionment results more comparable. In addition, it enables quantification of the most common OA components such as hydrocarbon-like OA (HOA), biomass burning OA (BBOA), cooking-like OA (COA), more oxidised-oxygenated OA (MO-OOA), and less oxidised-oxygenated OA (LO-OOA). Other components such as coal combustion OA (CCOA), solid fuel OA (SFOA: mainly mixture of coal and peat combustion), cigarette smoke OA (CSOA), sea salt (mostly inorganic but part of the OA mass spectrum), coffee OA, and ship industry OA could also be separated at a few specific sites. Oxygenated OA (OOA) components make up most of the submicron OA mass (average = 71.1%, range from 43.7 to 100%). Solid fuel combustion-related OA components (i.e., BBOA, CCOA, and SFOA) are still considerable with in total 16.0% yearly contribution to the OA, yet mainly during winter months (21.4%). Overall, this comprehensive protocol works effectively across all sites governed by different sources and generates robust and consistent source apportionment results. Our work presents a comprehensive overview of OA sources in Europe with a unique combination of high time resolution (30–240 min) and long-term data coverage (9–36 months), providing essential information to improve/validate air quality, health impact, and climate models. Environment International, 166 ISSN:1873-6750 ISSN:0160-4120
Environment Internat... arrow_drop_down Environment International; The University of Manchester - Institutional RepositoryOther literature type . Article . 2022 . Peer-reviewedLicense: Elsevier TDMarXiv.org e-Print ArchiveOther literature type . Preprint . 2022Data sources: arXiv.org e-Print ArchiveSpiral - Imperial College Digital RepositoryArticle . 2022License: CC BYData sources: Spiral - Imperial College Digital RepositoryHELDA - Digital Repository of the University of HelsinkiArticle . 2022 . Peer-reviewedData sources: HELDA - Digital Repository of the University of HelsinkiRecolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICArticle . 2022 . Peer-reviewedRepository of the Czech Academy of SciencesArticle . 2022Data sources: Repository of the Czech Academy of SciencesHELDA - Digital Repository of the University of HelsinkiArticle . 2022 . Peer-reviewedData sources: HELDA - Digital Repository of the University of HelsinkiRepository of the Czech Academy of SciencesArticle . 2022Data sources: Repository of the Czech Academy of SciencesHAL Descartes; HAL Clermont Université; Mémoires en Sciences de l'Information et de la Communication; HAL AMU; HAL-CEAArticle . 2022License: CC BYFull-Text: https://hal.science/hal-03738357/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 39 citations 39 popularity Top 10% influence Average impulse Top 1% Powered by BIP!visibility 53visibility views 53 download downloads 211 Powered bymore_vert Environment Internat... arrow_drop_down Environment International; The University of Manchester - Institutional RepositoryOther literature type . Article . 2022 . Peer-reviewedLicense: Elsevier TDMarXiv.org e-Print ArchiveOther literature type . Preprint . 2022Data sources: arXiv.org e-Print ArchiveSpiral - Imperial College Digital RepositoryArticle . 2022License: CC BYData sources: Spiral - Imperial College Digital RepositoryHELDA - Digital Repository of the University of HelsinkiArticle . 2022 . Peer-reviewedData sources: HELDA - Digital Repository of the University of HelsinkiRecolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICArticle . 2022 . Peer-reviewedRepository of the Czech Academy of SciencesArticle . 2022Data sources: Repository of the Czech Academy of SciencesHELDA - Digital Repository of the University of HelsinkiArticle . 2022 . Peer-reviewedData sources: HELDA - Digital Repository of the University of HelsinkiRepository of the Czech Academy of SciencesArticle . 2022Data sources: Repository of the Czech Academy of SciencesHAL Descartes; HAL Clermont Université; Mémoires en Sciences de l'Information et de la Communication; HAL AMU; HAL-CEAArticle . 2022License: CC BYFull-Text: https://hal.science/hal-03738357/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.envint.2022.107325&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Preprint 2022 Spain, France, France, France, United KingdomPublisher:Copernicus GmbH Funded by:EPA, ANR | Cappa, EC | ACTRIS-2 +8 projectsEPA ,ANR| Cappa ,EC| ACTRIS-2 ,EC| ACTRIS ,EC| EMME-CARE ,EC| ERA-PLANET ,SNSF| Particulate air pollution sources in low-income megacities ,EC| ACTRIS IMP ,EC| RI-URBANS ,Department of the Environment, Climate and Communications ,SNSF| Source apportionment using long-term Aerosol Mass Spectrometry and Aethalometer Measurements (SAMSAM)M. Via; M. Via; G. Chen; G. Chen; F. Canonaco; F. Canonaco; K. R. Daellenbach; B. Chazeau; H. Chebaicheb; H. Chebaicheb; J. Jiang; H. Keernik; H. Keernik; C. Lin; N. Marchand; C. Marin; C. Marin; C. O'Dowd; J. Ovadnevaite; J.-E. Petit; M. Pikridas; V. Riffault; J. Sciare; J. G. Slowik; L. Simon; L. Simon; J. Vasilescu; Y. Zhang; Y. Zhang; O. Favez; A. S. H. Prévôt; A. Alastuey; M. Cruz Minguillón;handle: 10261/282478
Particulate matter (PM) has become a major concern in terms of human health and climate impact. In particular, the source apportionment (SA) of organic aerosols (OA) present in submicron particles (PM1) has gained relevance as an atmospheric research field due to the diversity and complexity of its primary sources and secondary formation processes. Moreover, relatively simple but robust instruments such as the Aerosol Chemical Speciation Monitor (ACSM) are now widely available for the near-real-time online determination of the composition of the non-refractory PM1. One of the most used tools for SA purposes is the source-receptor positive matrix factorisation (PMF) model. Even though the recently developed rolling PMF technique has already been used for OA SA on ACSM datasets, no study has assessed its added value compared to the more common seasonal PMF method using a practical approach yet. In this paper, both techniques were applied to a synthetic dataset and to nine European ACSM datasets in order to spot the main output discrepancies between methods. The main advantage of the synthetic dataset approach was that the methods' outputs could be compared to the expected "true"values, i.e. the original synthetic dataset values. This approach revealed similar apportionment results amongst methods, although the rolling PMF profile's adaptability feature proved to be advantageous, as it generated output profiles that moved nearer to the truth points. Nevertheless, these results highlighted the impact of the profile anchor on the solution, as the use of a different anchor with respect to the truth led to significantly different results in both methods. In the multi-site study, while differences were generally not significant when considering year-long periods, their importance grew towards shorter time spans, as in intra-month or intra-day cycles. As far as correlation with external measurements is concerned, rolling PMF performed better than seasonal PMF globally for the ambient datasets investigated here, especially in periods between seasons. The results of this multi-site comparison coincide with the synthetic dataset in terms of rolling-seasonal similarity and rolling PMF reporting moderate improvements. Altogether, the results of this study provide solid evidence of the robustness of both methods and of the overall efficiency of the recently proposed rolling PMF approach. Acknowledgements IDAEA-CSIC is a Centre of Excellence Severo Ochoa (Spanish Ministry of Science and Innovation, Project CEX2018-000794-S). The authors gratefully acknowledge the Romanian National Air Quality Monitoring Network (NAQMN, https://www.calitateaer.ro/public/home-page/?__locale=ro, last access: September 2022) for providing NOx data. Financial support This research has been supported by the Generalitat de Catalunya (grant no. AGAUR 2017 SGR41), the European Cooperation in Science and Technology (grant no. COST Action CA16109 COLOSSAL), the Ministerio de Ciencia, Innovación y Universidades (CAIAC, grant no. PID2019-108990RB-I00 and FEDER, grant no. EQC2018-004598-P.), the Horizon 2020, the Ministry of Education and Research, Romania (grant nos. PN-III-P1-1.1-TE-2019-0340 and 18PFE/30.12.2021, 18N/2019), the Agence Nationale de la Recherche (grant no. PIA, ANR-11_LABX-0005-01), the Conseil Régional Hauts-de-France (CLIMIBIO grant), the Ministère de l'Enseignement Supérieur et de la Recherche (CARA grant), the Environmental Protection Agency (AEROSOURCE, grant no. 2016-CCRP-MS-31), the Department of the Environment, Climate and Communications (AC3 network grant), and the Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (SAMSAM, grant nos. IZCOZ9_177063 and PZPGP2_201992). We acknowledge support of the publication fee by the CSIC Open Access Publication Support Initiative through its Unit of Information Resources for Research (URICI). Peer reviewed
Atmospheric Measurem... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICArticle . 2022 . Peer-reviewedSpiral - Imperial College Digital RepositoryArticle . 2022License: CC BYData sources: Spiral - Imperial College Digital RepositoryCopernicus Publications; Atmospheric Measurement Techniques (AMT)Other literature type . 2022Data sources: Copernicus Publicationshttps://doi.org/10.5194/egusph...Preprint . 2022 . Peer-reviewedLicense: CC BYData sources: CrossrefHAL Descartes; Mémoires en Sciences de l'Information et de la Communication; HAL AMU; HAL-CEAOther literature type . Conference object . 2022add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/egusphere-2022-269&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 2 citations 2 popularity Average influence Average impulse Average Powered by BIP!visibility 14visibility views 14 download downloads 46 Powered bymore_vert Atmospheric Measurem... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICArticle . 2022 . Peer-reviewedSpiral - Imperial College Digital RepositoryArticle . 2022License: CC BYData sources: Spiral - Imperial College Digital RepositoryCopernicus Publications; Atmospheric Measurement Techniques (AMT)Other literature type . 2022Data sources: Copernicus Publicationshttps://doi.org/10.5194/egusph...Preprint . 2022 . Peer-reviewedLicense: CC BYData sources: CrossrefHAL Descartes; Mémoires en Sciences de l'Information et de la Communication; HAL AMU; HAL-CEAOther literature type . Conference object . 2022add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/egusphere-2022-269&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 United Kingdom, NetherlandsPublisher:MDPI AG Funded by:EC | MAGIC, EC | PANACEA, EC | SOILCARE +1 projectsEC| MAGIC ,EC| PANACEA ,EC| SOILCARE ,EC| BIKECalliope Panoutsou; Sara Giarola; Dauda Ibrahim; Simone Verzandvoort; Berien Elbersen; Cato Sandford; Chris Malins; Maria Politi; George Vourliotakis; Vigh Enikő Zita; Viktória Vásáry; Efthymia Alexopoulou; Andrea Salimbeni; David Chiaramonti;doi: 10.3390/app12094623
Sustainable biofuels are an important tool for the decarbonisation of transport. This is especially true in aviation, maritime, and heavy-duty sectors with limited short-term alternatives. Their use by conventional transport fleets requires few changes to the existing infrastructure and engines, and thus their integration can be smooth and relatively rapid. Provision of feedstock should comply with sustainability principles for (i) producing additional biomass without distorting food and feed markets and (ii) addressing challenges for ecosystem services, including biodiversity, and soil quality. This paper performs a meta-analysis of current research for low indirect land use change (ILUC) risk biomass crops for sustainable biofuels that benefited either from improved agricultural practices or from cultivation in unused, abandoned, or severely degraded land. Two categories of biomass crops are considered here: oil and lignocellulosic. The findings confirm that there are significant opportunities to cultivate these crops in European agro-ecological zones with sustainable agronomic practices both in farming land and in land with natural constraints (unused, abandoned, and degraded land). These could produce additional low environmental impact feedstocks for biofuels and deliver economic benefits to farmers.
NARCIS; Research@WUR arrow_drop_down Applied SciencesOther literature type . Article . 2022 . Peer-reviewedLicense: CC BYFull-Text: http://www.mdpi.com/2076-3417/12/9/4623/pdfSpiral - Imperial College Digital RepositoryArticle . 2022License: CC BYData sources: Spiral - Imperial College Digital Repositoryadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/app12094623&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 9 citations 9 popularity Top 10% influence Average impulse Top 10% Powered by BIP!visibility 2visibility views 2 download downloads 16 Powered bymore_vert NARCIS; Research@WUR arrow_drop_down Applied SciencesOther literature type . Article . 2022 . Peer-reviewedLicense: CC BYFull-Text: http://www.mdpi.com/2076-3417/12/9/4623/pdfSpiral - Imperial College Digital RepositoryArticle . 2022License: CC BYData sources: Spiral - Imperial College Digital Repositoryadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/app12094623&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 United KingdomPublisher:Royal Society of Chemistry (RSC) Funded by:UKRI | Multiphysics and multisca..., EC | ACT, UKRI | Comparative assessment an... +1 projectsUKRI| Multiphysics and multiscale modelling for safe and feasible CO2 capture and storage ,EC| ACT ,UKRI| Comparative assessment and region-specific optimisation of GGR ,EC| NEGEMSolene Chiquier; Piera Patrizio; Mai Bui; Nixon Sunny; Niall Mac Dowell;doi: 10.1039/d2ee01021f
Carbon dioxide removal (CDR) is essential to deliver the climate objectives of the Paris Agreement. Whilst several CDR pathways have been identified, they vary significantly in terms of CO2 removal efficiency, elapsed time between their deployment and effective CO2 removal, and CO2 removal permanence. All these criteria are critical for the commercial-scale deployment of CDR. In this study, we evaluate a set of archetypal CDR pathways—including afforestation/reforestation (AR), bioenergy with carbon capture and storage (BECCS), biochar, direct air capture of CO2 with storage (DACCS) and enhanced weathering (EW)—through this lens. We present a series of thought experiments, considering different climates and forest types for AR, land types, e.g. impacting biomass yield and (direct and indirect) land use change, and biomass types for BECCS and biochar, capture processes for DACCS, and rock types for EW. Results show that AR can be highly efficient in delivering CDR, up to 95–99% under optimal conditions. However, regional bio-geophysical factors, such as the near-term relatively slow and limited forest growth in cold climates, or the long-term exposure to natural disturbances, e.g. wildfires in warm and dry climates, substantially reduces the overall CO2 removal efficiency of AR. Conversely, BECCS delivers immediate and permanent CDR, but its CO2 removal efficiency can be significantly impacted by any initial carbon debt associated with (direct and indirect) land use change, and thereby significantly delayed. Biochar achieves low CDR efficiency, in the range of 20–39% when it is first integrated with the soil, and that regardless of the biomass feedstock considered. Moreover, its CO2 removal efficiency can decrease to −3 to 5% with time, owing to the decay of biochar. Finally, as for BECCS, DACCS and EW deliver permanent CO2 removal, but their CO2 removal efficiencies are substantially characterized by the energy system within which they are deployed, in the range of −5 to 90% and 17–92%, respectively, if currently deployed. However, the CDR efficiency of EW can increase to 51–92% with time, owing to the carbonation rate of EW.
Energy & Environment... arrow_drop_down Spiral - Imperial College Digital RepositoryArticle . 2022License: CC BYData sources: Spiral - Imperial College Digital Repositoryadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1039/d2ee01021f&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routeshybrid 1 citations 1 popularity Average influence Average impulse Average Powered by BIP!visibility 33visibility views 33 download downloads 30 Powered bymore_vert Energy & Environment... arrow_drop_down Spiral - Imperial College Digital RepositoryArticle . 2022License: CC BYData sources: Spiral - Imperial College Digital Repositoryadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1039/d2ee01021f&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu