气候变化领域集成服务门户(CCPortal): Real-time water quality forecasting in rivers using satellite data and dynamic models: an online system for operational management, control and citizen science

CCPortal

DOI	10.3389/fenvs.2024.1331783
	Real-time water quality forecasting in rivers using satellite data and dynamic models: an online system for operational management, control and citizen science
	Whitehead, Paul G.; Edmunds, Paul; Bussi, Gianbattista; O'Donnell, Seamus; Futter, Martyn; Groom, Steve; Rampley, Cordelia; Szweda, Chris; Johnson, David; Hodge, Andy Triggs; Porter, Tim; Castro, Geraldine
发表日期	2024
EISSN	2296-665X
起始页码	12
卷号	12
英文摘要	Increasingly scarce water resources and growing global populations have exacerbated the problems of water quality in river systems and freshwaters in general. New monitoring methodologies and tools to democratize access to water quality information are needed if we are to reach ambitious societal objectives such as the UN Sustainable Development Goals and the European Green Deal. Here we present a cloud-based system for producing publicly accessible real time water quality forecasts coupled to novel biosensor technology. Short term forecasts of water quality impairments, e.g., as cyanobacteria blooms, sediment plumes and toxic pollution incidents are increasingly relevant both to citizens and stakeholders. Here, we present a new cloud based system that utilizes satellite data to produce real time forecasts of flow and water quality using a chain of dynamic catchment-scale models at multiple locations in a river network. We demonstrate this new system using two case studies: the River Thames and the Essex Colne River (United Kingdom). These rivers are key water supply sources for London and South-East England, respectively and are of high interest to recreational water users. We show how the new system can predict and forecast water quality, estimate toxicity and connect to citizen science observations using an App (www.aquascope.com) for information synthesis and delivery.
英文关键词	water quality; rivers; catchments; pollution control; real-time forecasting; modelling; community action; toxicity
语种	英语
WOS研究方向	Environmental Sciences & Ecology
WOS类目	Environmental Sciences
WOS记录号	WOS:001208362700001
来源期刊	FRONTIERS IN ENVIRONMENTAL SCIENCE
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/298452
作者单位	University of Oxford; Swedish University of Agricultural Sciences
推荐引用方式 GB/T 7714	Whitehead, Paul G.,Edmunds, Paul,Bussi, Gianbattista,et al. Real-time water quality forecasting in rivers using satellite data and dynamic models: an online system for operational management, control and citizen science[J],2024,12.
APA	Whitehead, Paul G..,Edmunds, Paul.,Bussi, Gianbattista.,O'Donnell, Seamus.,Futter, Martyn.,...&Castro, Geraldine.(2024).Real-time water quality forecasting in rivers using satellite data and dynamic models: an online system for operational management, control and citizen science.FRONTIERS IN ENVIRONMENTAL SCIENCE,12.
MLA	Whitehead, Paul G.,et al."Real-time water quality forecasting in rivers using satellite data and dynamic models: an online system for operational management, control and citizen science".FRONTIERS IN ENVIRONMENTAL SCIENCE 12(2024).