Monitoring, Modelling and Management of Water Quality

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...

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Other Authors: Zessner, Matthias (Editor)
Format: Book Chapter
Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
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Online Access:Get Fullteks
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245 1 0 |a Monitoring, Modelling and Management of Water Quality 
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300 |a 1 electronic resource (218 p.) 
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520 |a 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. 
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546 |a English 
650 7 |a Research & information: general  |2 bicssc 
650 7 |a Environmental economics  |2 bicssc 
650 7 |a Pollution control  |2 bicssc 
653 |a diffuse pollution 
653 |a field mapping 
653 |a storm drains 
653 |a Bayesian statistics 
653 |a distributed modelling 
653 |a PhosFate 
653 |a water quality 
653 |a analysis method 
653 |a chromaticity measurement 
653 |a surface fitting 
653 |a concentration of dissolved matter 
653 |a Copernicus Programme 
653 |a ACOLITE 
653 |a flooding 
653 |a quasi-real time monitoring 
653 |a inundation mapping 
653 |a suspended matter 
653 |a Spain 
653 |a cyanobacteria 
653 |a Microcystis aeruginosa 
653 |a water 
653 |a monitoring 
653 |a spectrophotometry 
653 |a derivative absorbance 
653 |a model evaluation 
653 |a nitrogen 
653 |a nutrient retention 
653 |a phosphorus 
653 |a sediment 
653 |a constructed wetland 
653 |a water resources management 
653 |a eutrophication 
653 |a unmanned surface vehicle 
653 |a water monitoring 
653 |a ensemble learning 
653 |a dynamic power management 
653 |a observational process ontology 
653 |a water quality monitoring 
653 |a water pollution alert 
653 |a semantic discovery 
653 |a water quality status 
653 |a sources and pathways 
653 |a land cover 
653 |a digital elevation model 
653 |a urban river 
653 |a ArcGIS 
653 |a modeling 
653 |a CSO 
653 |a urban drainage 
653 |a sewer system 
653 |a trace pollutants 
653 |a urban runoff 
653 |a concentration duration frequency curve 
653 |a MONERIS 
653 |a diffuse nutrient emission 
653 |a empirical modeling 
653 |a river basin management plan of Hungary 
653 |a effectiveness of measures 
653 |a scenarios and forecasts 
653 |a socioeconomic context 
653 |a sources and pathways of water pollution 
653 |a system understanding 
653 |a water governance 
653 |a water quality statuses and trends 
653 |a water pollution control 
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