LEADER 04622nam 2201009z- 450 001 9910557772603321 005 20210501 035 $a(CKB)5400000000045634 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/69203 035 $a(oapen)doab69203 035 $a(EXLCZ)995400000000045634 100 $a20202105d2020 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aSustainability in the Development of Water Systems Management 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2020 215 $a1 online resource (224 p.) 311 08$a3-03943-202-8 311 08$a3-03943-203-6 330 $aThe concept of sustainability has been intensively used over the last decades since Brundtland´s report was published in 1987. This concept, due to its transversal, horizontal and interdisciplinary nature, can be used in many disciplines, scenarios, spatio-temporal dimensions and different circumstances. The intensive development in recent years of analytical techniques and tools based on disciplines such as artificial intelligence, machine learning, data mining, information theory and the Internet of Things, among others, has meant we are very well-placed for analysing the sustainability of water systems in a multiperspective way. Water systems management requires the most advanced approaches and tools for rigorously addressing all the dimensions involved in the sustainability of its development. Consequently, addressing the sustainability of water systems management may comprise physical (natural processes), chemical, socioeconomic, legal, institutional, infrastructure (engineering), political and cultural aspects, among others. This Special Issue welcomes general and specific contributions that address the sustainability of water systems management considering its development. Special interest will be given to those contributions that consider tradeoffs and/or integration between some of the aspects or disciplines that drive the sustainability of water systems in the context of their management and development. 606 $aHistory of engineering and technology$2bicssc 610 $aaquatic factors 610 $aaquifer management 610 $aartificial neural network (ANN) 610 $aartificial neural networks 610 $abarbate river basin 610 $aBayesian networks 610 $abiocalcarenites 610 $acausal reasoning 610 $achemical oxygen demand (COD) 610 $acitizen surveys 610 $aclimate change 610 $acompound parameter 610 $aconcrete arch-dams 610 $acontamination 610 $adeformation scenarios 610 $aeconomic efficiency of industrial water use (ECEIW) 610 $aenvironmental efficiency of industrial water use (ENEIW) 610 $ageomorphometric parameters 610 $ageospatial distribution 610 $aGHGs 610 $aGIS 610 $aglobal non-radial directional distance function model (GNDDF) 610 $agreen use efficiency of industrial water (GUEIW) 610 $agroundwater 610 $aintegrated water resources management 610 $airrigation 610 $amulti-models 610 $anitrogen 610 $apollution 610 $apredictive methods 610 $aprioritization 610 $arandom forest 610 $aremote sensing 610 $arivers' sustainability 610 $arunoff 610 $arunoff fractions 610 $asafety management 610 $aSouth Korean urban industry 610 $aspectral imaging 610 $astability scenarios 610 $aSub-Saharan Africa 610 $asulfate 610 $asuspended solids 610 $asustainability assessment 610 $atemporal dependence 610 $atransition management 610 $aunauthorized use 610 $auncertainty 610 $aunmanned aerial vehicle 610 $awastewater treatment plant (WWTP) 610 $awater governance 610 $awater management 610 $awater quality 610 $awater resource 610 $awater safety plan 610 $awater temperature 615 7$aHistory of engineering and technology 700 $aMolina$b José-Luis$4edt$01309875 702 $aMolina$b José-Luis$4oth 906 $aBOOK 912 $a9910557772603321 996 $aSustainability in the Development of Water Systems Management$93029689 997 $aUNINA