LEADER 04811nam 2201153z- 450 001 9910557548403321 005 20231214133703.0 035 $a(CKB)5400000000044122 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/76659 035 $a(EXLCZ)995400000000044122 100 $a20202201d2021 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMonitoring, Modelling and Management of Water Quality 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2021 215 $a1 electronic resource (218 p.) 311 $a3-0365-1548-8 311 $a3-0365-1547-X 330 $aDifferent 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. 606 $aResearch & information: general$2bicssc 606 $aEnvironmental economics$2bicssc 606 $aPollution control$2bicssc 610 $adiffuse pollution 610 $afield mapping 610 $astorm drains 610 $aBayesian statistics 610 $adistributed modelling 610 $aPhosFate 610 $awater quality 610 $aanalysis method 610 $achromaticity measurement 610 $asurface fitting 610 $aconcentration of dissolved matter 610 $aCopernicus Programme 610 $aACOLITE 610 $aflooding 610 $aquasi-real time monitoring 610 $ainundation mapping 610 $asuspended matter 610 $aSpain 610 $acyanobacteria 610 $aMicrocystis aeruginosa 610 $awater 610 $amonitoring 610 $aspectrophotometry 610 $aderivative absorbance 610 $amodel evaluation 610 $anitrogen 610 $anutrient retention 610 $aphosphorus 610 $asediment 610 $aconstructed wetland 610 $awater resources management 610 $aeutrophication 610 $aunmanned surface vehicle 610 $awater monitoring 610 $aensemble learning 610 $adynamic power management 610 $aobservational process ontology 610 $awater quality monitoring 610 $awater pollution alert 610 $asemantic discovery 610 $awater quality status 610 $asources and pathways 610 $aland cover 610 $adigital elevation model 610 $aurban river 610 $aArcGIS 610 $amodeling 610 $aCSO 610 $aurban drainage 610 $asewer system 610 $atrace pollutants 610 $aurban runoff 610 $aconcentration duration frequency curve 610 $aMONERIS 610 $adiffuse nutrient emission 610 $aempirical modeling 610 $ariver basin management plan of Hungary 610 $aeffectiveness of measures 610 $ascenarios and forecasts 610 $asocioeconomic context 610 $asources and pathways of water pollution 610 $asystem understanding 610 $awater governance 610 $awater quality statuses and trends 610 $awater pollution control 615 7$aResearch & information: general 615 7$aEnvironmental economics 615 7$aPollution control 700 $aZessner$b Matthias$4edt$01290194 702 $aZessner$b Matthias$4oth 906 $aBOOK 912 $a9910557548403321 996 $aMonitoring, Modelling and Management of Water Quality$93021411 997 $aUNINA