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Heal, Richard, Fronkova, Lenka, Silva, Tiago, Collingridge, Kate, Harrod, Richard, Greenwood, Naomi and Devlin, Michelle J. 
ORCID: https://orcid.org/0000-0003-2194-2534
(2023)
A probabilistic approach to mapping the contribution of individual riverine discharges into Liverpool Bay using distance accumulation cost methods on satellite derived ocean-colour data.
Remote Sensing, 15 (14).
ISSN 2072-4292
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Abstract
Assessments of the water quality in coastal zones often rely on indirect indicators from contributing river inputs and the neighbouring ocean. Using a novel combination of distance accumulation cost methods and an ocean-colour product derived from SENTINEL-3 data, we developed a probabilistic method for the assessment of dissolved inorganic nitrogen (DIN) in Liverpool Bay (UK) for the period from 2017 to 2020. Using our approach, we showed the annual and monthly likelihood of DIN exposure from its 12 major contributory rivers. Furthermore, we generated monthly risk maps showing the probability of DIN exposure from all rivers, which revealed a seasonal variation of extent and location around the bay. The highest likelihood of high DIN exposure throughout the year was in the estuarine regions of the Dee, Mersey, and Ribble, along with near-shore areas along the north Wales coast and around the mouth of the rivers Mersey and Ribble. There were seasonal changes in the risk of DIN exposure, and this risk remained high all year for the Mersey and Dee estuary regions. In contrast, for the mouth and near the coastal areas of the Ribble, the DIN exposure decreased in spring, remained low during the summer and early autumn, before displaying an increase during winter. Our approach offers the ability to assess the water quality within coastal zones without the need of complex hydrodynamic models, whilst still having the potential to apportion nutrient exposure to specific riverine inputs. This information can help to prioritise how direct mitigation strategies can be applied to specific river catchments, focusing the limited resources for coastal zone and river basin management.
| Item Type: | Article |
|---|---|
| Additional Information: | Funding Information: This research was funded by the Department for Environment, Food and Rural Affairs (Defra) as part of the marine arm of the Natural Capital and Ecosystem Assessment (NCEA) programme. The marine NCEA programme is leading the way in supporting Government ambition to integrate natural capital approaches into decision making for the marine environment. Find out more at https://www.gov.uk/government/publications/natural-capital-and-ecosystem-assessment-programme. |
| Uncontrolled Keywords: | coastal water quality,land-based pollution,liverpool bay,ocean colour,river plume,uk,water quality assessment,earth and planetary sciences(all) ,/dk/atira/pure/subjectarea/asjc/1900 |
| Faculty \ School: | Faculty of Science > School of Environmental Sciences |
| UEA Research Groups: | Faculty of Science > Research Groups > Collaborative Centre for Sustainable Use of the Seas |
| Related URLs: | |
| Depositing User: | LivePure Connector |
| Date Deposited: | 13 Sep 2023 13:30 |
| Last Modified: | 09 Mar 2024 13:30 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/93045 |
| DOI: | 10.3390/rs15143666 |
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