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230811 ||| eng |
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|a books978-3-0365-8211-5
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|a 9783036582115
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|a 9783036582108
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1 |
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|a Copetti, Diego
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| 245 |
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0 |
|a Advances in Water Resource Monitoring and Modelling: Water Quantity and Quality Issues
|h Elektronische Ressource
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| 260 |
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|a Basel
|b MDPI - Multidisciplinary Digital Publishing Institute
|c 2023
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| 300 |
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|a 1 electronic resource (240 p.)
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| 653 |
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|a river freezing
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| 653 |
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|a wastewater
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| 653 |
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|a risk analysis
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| 653 |
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|a PRISMA
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| 653 |
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|a 1951-2021
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| 653 |
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|a aquatic vegetation
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| 653 |
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|a water quality
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| 653 |
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|a risk management
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| 653 |
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|a nutrient transport
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| 653 |
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|a predictor variables
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| 653 |
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|a n/a
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| 653 |
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|a Visegrad Group
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| 653 |
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|a indicators
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| 653 |
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|a satellite images
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| 653 |
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|a sustainable management
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| 653 |
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|a Epanet
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| 653 |
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|a Indicators of Hydrologic Alteration (IHA)
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| 653 |
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|a resources
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| 653 |
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|a geothermal water
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| 653 |
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|a monitoring
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| 653 |
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|a dissolved load transport
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| 653 |
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|a trends
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| 653 |
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|a water
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| 653 |
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|a Los Cabos block
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| 653 |
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|a failures
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| 653 |
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|a river regime
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| 653 |
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|a evaporative ratio
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| 653 |
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|a Extreme Gradient Boosting (XGBoost)
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| 653 |
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|a ecotoxicology
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| 653 |
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|a river flow
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| 653 |
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|a snowfall-to-precipitation ratio
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| 653 |
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|a Global Land Evaporation Amsterdam Model (GLEAM)
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| 653 |
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|a chlorophyll-a
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| 653 |
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|a critical raw materials
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| 653 |
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|a hyperspectral data
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| 653 |
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|a Development economics and emerging economies / bicssc
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| 653 |
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|a balanced accuracy
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| 653 |
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|a waste treatment
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| 653 |
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|a risk assessment
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| 653 |
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|a spatial-temporal pattern
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| 653 |
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|a components
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| 653 |
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|a DESIS
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| 653 |
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|a ocean dumping
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| 653 |
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|a water supply network
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| 653 |
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|a middle-latitude region
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| 653 |
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|a circular economy (CE)
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| 653 |
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|a climate variability
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| 653 |
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|a hydrogeochemical characterization
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| 653 |
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|a XGBoost algorithm
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| 653 |
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|a risk maps
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| 653 |
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|a river regime shift
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| 653 |
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|a phosphorus
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| 653 |
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|a cation exchange
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| 653 |
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|a baseflow index
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| 653 |
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|a cold season
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| 653 |
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|a V4
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| 653 |
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|a Poland
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| 653 |
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|a increasing trends
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| 653 |
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|a antiretrovirals
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| 653 |
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|a multistep-ahead forecasting
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| 653 |
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|a water supply system
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| 653 |
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|a economic indicators
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| 653 |
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|a mixing processes
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| 653 |
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|a Brda river
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| 653 |
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|a safety of water supply
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| 653 |
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|a lowland river basin
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| 653 |
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|a subtropical coastal zone
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| 653 |
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|a turbidity
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| 653 |
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|a Ukraine
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| 653 |
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|a seawater intrusion processes
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| 653 |
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|a pollution effects
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| 653 |
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|a predicted environmental concentration
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| 653 |
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|a suspended sediment transport
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| 653 |
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|a terrestrial evaporation
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| 653 |
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|a cascade dams
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| 653 |
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|a Multilayer Perceptron Neural Network (MLPNN)
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| 700 |
1 |
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|a Copetti, Diego
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
|
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|b DOAB
|a Directory of Open Access Books
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| 500 |
|
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|a Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
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| 028 |
5 |
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|a 10.3390/books978-3-0365-8211-5
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| 856 |
4 |
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|u https://www.mdpi.com/books/pdfview/book/7611
|7 0
|x Verlag
|3 Volltext
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| 856 |
4 |
2 |
|u https://directory.doabooks.org/handle/20.500.12854/112495
|z DOAB: description of the publication
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|a 363
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|a 333
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|a 380
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|a 330
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|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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