Advances in Water Resource Monitoring and Modelling: Water Quantity and Quality Issues

The availability of fresh water of good or high quality is essential for the health of people, animals and the environment. The monitoring and modelling of water resources are therefore strategic for achieving a sustainable and inclusive society. This reprint hosts research and review papers featuri...

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Bibliographic Details
Other Authors: Copetti, Diego (Editor)
Format: Electronic Book Chapter
Language:English
Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
Subjects:
Online Access:DOAB: download the publication
DOAB: description of the publication
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520 |a The availability of fresh water of good or high quality is essential for the health of people, animals and the environment. The monitoring and modelling of water resources are therefore strategic for achieving a sustainable and inclusive society. This reprint hosts research and review papers featuring different approaches ranging from engineering and environmental sciences (hydrology, ecotoxicology and remote sensing) to economic disciplines (environmental and circular economy). Contributions may be of interest to both researchers and environmental managers. 
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653 |a water supply system 
653 |a risk analysis 
653 |a risk management 
653 |a safety of water supply 
653 |a water supply network 
653 |a failures 
653 |a risk maps 
653 |a Epanet 
653 |a Indicators of Hydrologic Alteration (IHA) 
653 |a cascade dams 
653 |a river regime 
653 |a suspended sediment transport 
653 |a dissolved load transport 
653 |a nutrient transport 
653 |a Brda river 
653 |a subtropical coastal zone 
653 |a waste treatment 
653 |a ocean dumping 
653 |a antiretrovirals 
653 |a predicted environmental concentration 
653 |a ecotoxicology 
653 |a risk assessment 
653 |a pollution effects 
653 |a circular economy (CE) 
653 |a monitoring 
653 |a indicators 
653 |a economic indicators 
653 |a water 
653 |a wastewater 
653 |a terrestrial evaporation 
653 |a components 
653 |a Global Land Evaporation Amsterdam Model (GLEAM) 
653 |a increasing trends 
653 |a spatial-temporal pattern 
653 |a evaporative ratio 
653 |a Poland 
653 |a satellite images 
653 |a hyperspectral data 
653 |a water quality 
653 |a PRISMA 
653 |a DESIS 
653 |a turbidity 
653 |a chlorophyll-a 
653 |a aquatic vegetation 
653 |a river freezing 
653 |a Multilayer Perceptron Neural Network (MLPNN) 
653 |a Extreme Gradient Boosting (XGBoost) 
653 |a predictor variables 
653 |a balanced accuracy 
653 |a river flow 
653 |a XGBoost algorithm 
653 |a trends 
653 |a multistep-ahead forecasting 
653 |a climate variability 
653 |a Ukraine 
653 |a phosphorus 
653 |a resources 
653 |a critical raw materials 
653 |a Visegrad Group 
653 |a V4 
653 |a sustainable management 
653 |a cold season 
653 |a 1951-2021 
653 |a snowfall-to-precipitation ratio 
653 |a baseflow index 
653 |a river regime shift 
653 |a lowland river basin 
653 |a middle-latitude region 
653 |a hydrogeochemical characterization 
653 |a seawater intrusion processes 
653 |a geothermal water 
653 |a mixing processes 
653 |a cation exchange 
653 |a Los Cabos block 
653 |a n/a 
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