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  4. Quantifying water evaporation from large reservoirs : implications for water management in water-stressed regions
 
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Quantifying water evaporation from large reservoirs : implications for water management in water-stressed regions

Citation Link: https://doi.org/10.15480/882.13300
Publikationstyp
Journal Article
Date Issued
2024-08-29
Sprache
English
Author(s)
Nevermann, Hannes  
Geohydroinformatik B-9  
Aminzadeh, Milad  
Geo-Hydroinformatics B-9  
Madani, Kaveh  
Shokri, Nima  
Geohydroinformatik B-9  
TORE-DOI
10.15480/882.13300
TORE-URI
https://hdl.handle.net/11420/49101
Journal
Environmental research  
Volume
262
Article Number
119860
Citation
Environmental Research 262: 119860 (2024)
Publisher DOI
10.1016/j.envres.2024.119860
Scopus ID
2-s2.0-85203246603
Publisher
Elsevier
Dam reservoirs are at the core of local water storage and supply, especially in water-stressed regions of the world with acute water shortage problems. However, evaporative losses from these reservoirs and their storage efficiency are often overlooked in water budgeting. We offer a mechanistic approach that combines physically-based modeling with remote sensing information of reservoir characteristics to reliably predict evaporative losses from dam reservoirs. The developed framework is used to predict evaporative water losses from potential dam reservoirs in different basins worldwide. We apply this framework to 10 of the largest dam reservoirs in the world's water-stressed regions to quantify evaporative water losses. Our analysis, spanning from 2000 to 2020, reveals considerable variations in annual evaporation rates in the reservoirs located in water-deprived regions exceeding 3200 mm/year during the study period with the total evaporative loss reaching 26.5 km3/year. The evaporative water loss accounts up to 15.8% of the storage capacity in one of the dam reservoirs, posing significant challenges for water allocation and conservation strategies, with notable economic and environmental consequences in regions already suffering from water scarcity.
DDC Class
333: Economics of Land and Energy
551: Geology, Hydrology Meteorology
627: Hydraulic Engineering
Funding(s)
Projekt DEAL  
Publication version
publishedVersion
Lizenz
https://creativecommons.org/licenses/by/4.0/
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