Monitoring, Modelling and Management of Water Quality
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https://mdpi.com/books/pdfview/book/4106Contributor(s)
Zessner, Matthias (editor)
Language
EnglishAbstract
Different types of pressures, such as nutrients, micropollutants, microbes, nanoparticles, microplastics, or antibiotic-resistant genes, endanger the quality of water bodies. Evidence-based pollution control needs to be built on the three basic elements of water governance: Monitoring, modeling, and management. Monitoring sets the empirical basis by providing space- and time-dependent information on substance concentrations and loads, as well as driving boundary conditions for assessing water quality trends, water quality statuses, and providing necessary information for the calibration and validation of models. Modeling needs proper system understanding and helps to derive information for times and locations where no monitoring is done or possible. Possible applications are risk assessments for exceedance of quality standards, assessment of regionalized relevance of sources and pathways of pollution, effectiveness of measures, bundles of measures or policies, and assessment of future developments as scenarios or forecasts. Management relies on this information and translates it in a socioeconomic context into specific plans for implementation. Evaluation of success of management plans again includes well-defined monitoring strategies. This book provides an important overview in this context.
Keywords
diffuse pollution; field mapping; storm drains; Bayesian statistics; distributed modelling; PhosFate; water quality; analysis method; chromaticity measurement; surface fitting; concentration of dissolved matter; Copernicus Programme; ACOLITE; flooding; quasi-real time monitoring; inundation mapping; suspended matter; Spain; cyanobacteria; Microcystis aeruginosa; water; monitoring; spectrophotometry; derivative absorbance; model evaluation; nitrogen; nutrient retention; phosphorus; sediment; constructed wetland; water resources management; eutrophication; unmanned surface vehicle; water monitoring; ensemble learning; dynamic power management; observational process ontology; water quality monitoring; water pollution alert; semantic discovery; water quality status; sources and pathways; land cover; digital elevation model; urban river; ArcGIS; modeling; CSO; urban drainage; sewer system; trace pollutants; urban runoff; concentration duration frequency curve; MONERIS; diffuse nutrient emission; empirical modeling; river basin management plan of Hungary; effectiveness of measures; scenarios and forecasts; socioeconomic context; sources and pathways of water pollution; system understanding; water governance; water quality statuses and trends; water pollution controlWebshop link
https://mdpi.com/books/pdfview ...ISBN
9783036515489, 9783036515472Publisher website
www.mdpi.com/booksPublication date and place
Basel, Switzerland, 2021Classification
Research and information: general
Environmental economics
Pollution control