The recycling of sludge to agriculture is regarded as the Best Practical Environmental Option in Europe. However, there are many challenges with the practice with concern about the risk of pathogen transfer to farm produce being a major issue. In recent years, it has been reported that numbers of Escherichia coli (E. coli) increase significantly following centrifugation. This is known as the E. coli regrowth phenomenon and it is of serious concern because E. coli is used as an indicator of the microbiological quality of sludge-derived products and compliance failure of the quality standards would result in higher disposal costs and loss of consumer confidence in the industry. It has been proposed that the apparent sudden increase in E. coli numbers in sludge subject to centrifugal dewatering is caused by reactivation of viable but nonculturable cells. Subsequent rapid growth of E. coli in the first few days of cake storage following dewatering is likely to be caused by the combination of a ready supply of nutrients and a lack of microbial competition for those nutrients. The hypothesis to be tested in this research is that the regrowth of E coli in stored sludge can be reduced by the application of the competitive exclusion principle; i.e. by competition between E. coli and fast-growing non-pathogenic bacteria that will be introduced to the dewatered sludge. The principle of competitive exclusion has been used successfully as a means of infection control for many years in the food industry. In this research we aim to develop inocula of differing microbial community composition and evaluate their ability to suppress the growth of E. coli in digested sludge. Objective 1: Test the competitive exclusion concept To test the basic premise of the research, a controlled and replicated bench-scale experiment will be designed in which sludge samples are sterilised and then re-inoculated with E. coli and competing microorganisms. In this experiment the E. coli will be challenged with inocula which present differing degrees of competition for available resources. Where the E. coli are presented with no or limited competition we would expect an increase in population. Where E.coli have to compete with a diverse and well adapted community for available resources we would expect population growth to be slower or absent. Objective 2: Optimise the competitive exclusion product Once the competitive exclusion concept has been successfully tested a competitive exclusion product will be optimised. We will investigate: (i) What is the best source of the challenge inoculum - for example from soils or from digested cake itself. (ii) How big does the competing population need to be? Is a seed population sufficient to compete with E. coli? Or is it necessary for the competitive exclusion product to reach a certain size before it is capable of competing? (iii) How important are key characteristics of microbial community structure of the competitive exclusion product. Measurements of the structure of the microbial community will be made by means of phospholipid fatty acid (PLFA) phenotypic profiling. Objective 3: Scale-up Once proven on bench scale, the culture work will be scaled up using a pilot-scale fermenter. Should the results of this pilot-scale work be promising there will be the opportunity to trial the process at full scale at a United Utilities facility.

The devastating moorland wildfires of June and July 2018 which ravaged large parts of Northern England were the worst peatland wildfires since 1976. Severe wildfires, as distinct from managed burning, can act as a catalyst, resulting in catastrophic change in surface vegetation, soil and water runoff systems. Removal of vegetation by fire, coupled with changes to soil physical and chemical properties, enhances runoff and increases delivery of sediment and other contaminants to drainage systems. Although fire is a significant driver of change in moorland habitats the downstream impacts remain largely unknown. Given that such wildfires are likely to increase in frequency as the climate changes, the recent 2018 fires provide a rare opportunity to capture new data on the impact and response of these burnt moorland catchments in the immediate aftermath of the event. In this project we will quantify sediment and contaminant delivery to upland reservoirs from burnt catchments. We will work with local landowners and responsible authorities to promote recovery of these sensitive catchments by actively facilitating knowledge exchange between researchers and land managers. The overall objective of the project is to quantify sediment and contaminant delivery from upland catchments in the immediate aftermath of a severe wildfire which affected Northern England in July 2018. The general approach considers the fate of fire-generated 'sediment' from source-to-sink along the upland sediment cascade from eroding moorland hillslopes, through the upland channel network to deposition in downstream reservoirs. We will characterise sediment sources within the catchment so that sediment fingerprinting can be used to trace burnt sediment as it moves downstream. Mapping of the catchment will allow us to determine the pathways eroded sediment takes from the hillslopes, through the stream channels and into the reservoirs. Using a combined approach of trapping sediment in the reservoir and the stream network we will quantify the fluxes of eroded sediment (e.g. total, contaminant, organic, inorganic) from the catchment downstream. By analysing sediment cores for charcoal layers deposited in the Victorian reservoirs we will reconstruct a history of fire events in the local region. This information will be extremely valuable in addressing several fundamental questions including whether catchment erosion rates significantly increased after severe moorland fires and which areas are particularly at risk?; and how significant are the current fires in comparison to the historical record of fires in the area?. By establishing clear pathways of knowledge exchange between researchers, local landowners and restoration teams we will directly assist in the recovery of the catchments from the impacts of the fire.

The water industry faces intensifying risks to its water treatment systems through rising dissolved organic matter (DOM) concentrations, especially in upland raw water supplies which provide 70% of the UK's drinking water. Rain and meltwater percolating through soils transports DOM to reservoirs. The water industry has to restrict DOM concentrations to minimise taste and odour problems, reduce the potential for algal growth, and prevent the generation of potentially harmful levels of disinfection bi-products, formed from reactions between DOM and chemical disinfectants. DOM concentrations are increasing primarily as a result of an increase in soil organic matter solubility in response to regional reductions in atmospheric pollutants to soils. However, DOM levels in upland waters are also sensitive to variation, and long-term change, in soil temperatures, amounts and intensity of precipitation, the ionic strength of soil waters, the residence time of reservoirs, and seasalt deposition events during winter storms. The influence of these climate-related effects is increasing as organic matter continues to become more soluble. Currently, the primary industry approach to reduce DOM concentrations is the application of coagulant to precipitate the organic matter from the water, but additional filtration may also be required to remove DOM compounds that are less sensitive to this chemical effect. Both processes have a significant carbon footprint and are estimated to have already cost the industry hundreds of millions of pounds through the installation of new equipment where existing infrastructure was no longer able to deal with rising DOM concentrations. There is a pressing need, therefore, to foster a Climate Change Resilience Community that will combine the extensive expertise of the research and industry communities in the UK in order to address this challenge. FREEDOM-BCCR will develop an entirely new approach to understanding, managing, and planning responses to DOM increases in response to climate change. The community will provide the basis of support for decision making and will deliver adaptive (e.g. infrastructure investment) and mitigative (e.g. land-use interventions) approaches with which to build resilience in the upland water supply. We will augment the capability of a prototype Decision Support tool (DSt), developed by the current NERC FREEDOM Project with support from for Scottish Water, by incorporating catchment-specific climate change projections, predictive models and industry knowledge. This development of the FREEDOM DSt will fill critical knowledge gaps in model functionality including climate change impacts on soil and in-reservoir processing of DOM. We will define operational thresholds for DOM quantity and quality across the treatment chain and combine these to produce forecasts, at a UK scale, of DOM risk to drinking water supply. Proposed activities and respective Work Packages include: generation of UKCP18-based climate change projections using Hydro-JULES downscaled to specific catchments (WP1); Coupling of downscaled climate predictions with catchment and lake/reservoir models to explore the potential impact of climate change in influencing seasonal variation in DOM quantity, quality and vertical distribution in priority intensively monitored drinking water reservoirs and their catchments (WP2); validation of predictions of DOM quantity and quality produced by the FREEDOM DSt, beyond the parameterisation data set from Scottish Water, using hind-casting informed by wider UK industry data (WP3); upscaling application of the FREEDOM-UK DSt to provide predictions of the effects of climate change, land-use change and air pollution scenarios on DOM quantity and quality in other regions of the UK (WP4); and, foster the FREEDOM Climate Change Resilience Community focussing on co-development, application, and show-casing the FREEDOM-UK DSt through a programme of knowledge exchange activities (WP5).

The research will create a hybrid anaerobic digestion process in which hydrogen made from renewable energy sources (e.g. wind and photovoltaics) is used to produce biomethane at more than 95% purity. The process therefore provides an efficient in situ biogas upgrading technique which will maximise the conversion of the available carbon in waste biomass into a fuel product that has a wide range of applications, including short-term storage for grid balancing and use as a vehicle fuel. The process is likely to be more environmentally friendly and sustainable than current methods for biogas upgrading as there is reduced process loss of methane. The target is to develop the system for use in the water industry where there is a large potential to integrate it into existing infrastructure and to maximise the use of process heat and other by-products. A second targeted application is at a smaller scale on farms, where there is an abundant supply of waste biomass and a lack of suitable biogas upgrading plant.

The water industry faces intensifying risks to its water treatment systems through rising dissolved organic matter (DOM) concentrations, especially in upland raw water supplies which provide 70% of the UK's drinking water. Rain and meltwater percolating through soils transports DOM to reservoirs. The water industry has to restrict DOM concentrations to minimise taste and odour problems, reduce the potential for algal growth, and prevent the generation of potentially harmful levels of disinfection bi-products, formed from reactions between DOM and chemical disinfectants. DOM concentrations are increasing primarily as a result of an increase in soil organic matter solubility in response to regional reductions in atmospheric pollutants to soils. However, DOM levels in upland waters are also sensitive to variation, and long-term change, in soil temperatures, amounts and intensity of precipitation, the ionic strength of soil waters, the residence time of reservoirs, and seasalt deposition events during winter storms. The influence of these climate-related effects is increasing as organic matter continues to become more soluble. Currently, the primary industry approach to reduce DOM concentrations is the application of coagulant to precipitate the organic matter from the water, but additional filtration may also be required to remove DOM compounds that are less sensitive to this chemical effect. Both processes have a significant carbon footprint and are estimated to have already cost the industry hundreds of millions of pounds through the installation of new equipment where existing infrastructure was no longer able to deal with rising DOM concentrations. There is a pressing need, therefore, to foster a Climate Change Resilience Community that will combine the extensive expertise of the research and industry communities in the UK in order to address this challenge. FREEDOM-BCCR will develop an entirely new approach to understanding, managing, and planning responses to DOM increases in response to climate change. The community will provide the basis of support for decision making and will deliver adaptive (e.g. infrastructure investment) and mitigative (e.g. land-use interventions) approaches with which to build resilience in the upland water supply. We will augment the capability of a prototype Decision Support tool (DSt), developed by the current NERC FREEDOM Project with support from for Scottish Water, by incorporating catchment-specific climate change projections, predictive models and industry knowledge. This development of the FREEDOM DSt will fill critical knowledge gaps in model functionality including climate change impacts on soil and in-reservoir processing of DOM. We will define operational thresholds for DOM quantity and quality across the treatment chain and combine these to produce forecasts, at a UK scale, of DOM risk to drinking water supply. Proposed activities and respective Work Packages include: generation of UKCP18-based climate change projections using Hydro-JULES downscaled to specific catchments (WP1); Coupling of downscaled climate predictions with catchment and lake/reservoir models to explore the potential impact of climate change in influencing seasonal variation in DOM quantity, quality and vertical distribution in priority intensively monitored drinking water reservoirs and their catchments (WP2); validation of predictions of DOM quantity and quality produced by the FREEDOM DSt, beyond the parameterisation data set from Scottish Water, using hind-casting informed by wider UK industry data (WP3); upscaling application of the FREEDOM-UK DSt to provide predictions of the effects of climate change, land-use change and air pollution scenarios on DOM quantity and quality in other regions of the UK (WP4); and, foster the FREEDOM Climate Change Resilience Community focussing on co-development, application, and show-casing the FREEDOM-UK DSt through a programme of knowledge exchange activities (WP5).