Details of Award
NERC Reference : NE/R009198/1
FREEDOM: Forecasting Risk to upland water treatment assets from the Environmental Exacerbation of Dissolved Organic Matter levels.
Grant Award
- Principal Investigator:
- Mr D Monteith, NERC CEH (Up to 30.11.2019), Water Resources (Lancaster)
- Co-Investigator:
- Professor CD Evans, UK Centre for Ecology & Hydrology, Soils and Land Use (Bangor)
- Co-Investigator:
- Professor B Spears, UK Centre for Ecology & Hydrology, Water Resources (Penicuik)
- Grant held at:
- NERC CEH (Up to 30.11.2019), Water Resources (Lancaster)
- Science Area:
- Freshwater
- Terrestrial
- Overall Classification:
- Unknown
- ENRIs:
- Environmental Risks and Hazards
- Global Change
- Natural Resource Management
- Pollution and Waste
- Science Topics:
- Air pollution
- Diffuse pollution
- Pollutant pathways
- Pollutant transport
- Pollution
- Water pollution
- Biogeochemical cycles
- Catchment management
- Dissolved organic carbon
- Soil carbon
- Drinking water
- Water Quality
- Abstract:
- The water industry faces intensifying risks to its water treatment systems from rising dissolved organic matter (DOM) concentrations in upland raw water supplies. This is leading to rising treatment costs, drinking water quality breaches, and threats to existing infrastructure. Scottish Water (SW), the industrial partner in this proposal, working with CEH, aim to address this challenge by developing an entirely new approach to understanding, managing, and planning responses to DOM increases over the next 50 years in response to environmental change. This represents a radical departure from the current water industry focus on 'managing away' rising DOM levels in supply catchments through upland restoration, which has had only limited success. Risks and costs of rising DOM levels are widespread. They affect other water companies, including United Utilities, Welsh Water and Irish Water, who, alongside SW and academic partners (Universities of Glasgow and Leeds), will form the Project Advisory Board and ensure continued relevance and impact of the project. The project will build on a modelling framework developed by CEH and harness new scientific understanding to equip SW with: 1) state-of-the-art knowledge of the consequences of future environmental change for DOM levels; 2) a web-based Decision Support System (DSS) with which to anticipate where and when treatment-related thresholds are most likely to be breached; 3) the ability to more efficiently manage water treatment assets; and, 4) a robust, long-term strategic basis for sustainable catchment planning and optimised infrastructure investment. By developing these capabilities CEH will provide SW with tools to optimise mitigation (e.g. land-use interventions) and adaption (e.g. infrastructure investment) strategies. Proposed activities and (respective Work Packages) include: finalisation of SW needs and collation of SW data in a project database (WP1); development of an existing model framework to enable forecasting of future DOM quality, quantity and Key Performance Indicators (WP2); model implementation, focussed on circa 100 SW supply catchments (WP3), generation of a spatially explicit model of current and future DOM concentrations across the UK uplands according to climate change and air pollution scenarios (WP4); and, development of the DSS incorporating web-based tools, to provide a front-end for model outputs for use by SW, and enable forecasting of future annual average and seasonal extreme raw water DOM concentrations and quality, and Key Performance Indicators (KPIs) (WP5). Additional funding from SW will support collection of new data to assist in model parameterisation and testing. CEH will work with SW to implement the prototype DSS, initially for a subset of 'exemplar' sites to test and subsequently showcase the application of the tool, before scaling up to the full set of catchments from WP2. Consequences for SW's KPIs will then be assessed for a range of environmental scenarios and mitigation strategies. Results will be disseminated by a CEH in a series of briefing notes to SW and through the DSS directly. Exemplar studies will be presented to the wider water industry at the end-of-project dissemination meeting. At this point other water industry partners will be given the opportunity to engage in a future beta-test of the DSS, and work more closely with CEH and each other in developing further iterations and functionality. Ultimately, the project aims to transform approaches to rising DOM across the UK water industry, and potentially internationally. Project duration will be 18 months. During this time, SW will independently fund a parallel project of new data collection that will help to strengthen the empirical basis and parameterisation of the model to support future use. The total cost of the project, at 80%FEC will be #135,595, with #75,000 from SW to support supplementary sampling.
- NERC Reference:
- NE/R009198/1
- Grant Stage:
- Completed
- Scheme:
- Innovation
- Grant Status:
- Closed
- Programme:
- Innovation - Risk
This grant award has a total value of £137,064
FDAB - Financial Details (Award breakdown by headings)
| DI - Other Costs | Indirect - Indirect Costs | DI - Staff | DA - Estate Costs | DI - T&S |
|---|---|---|---|---|
| £243 | £38,622 | £62,878 | £30,631 | £4,690 |
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