Adaptive hybrid architecture for enhancement of the complex hydroclimatic system and assessment of freshwater security

Future freshwater security relies on hydroclimatic (HC) shifts and regimes for sustainable development. The approximation of the HC system faces major uncertainties and complexities due to the incorporation of heavy datasets, characteristics, and constraints. The proposed study focused on the parall...

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Veröffentlicht in:	Journal of hydroinformatics Jg. 23; H. 5; S. 950 - 965
Hauptverfasser:	Budamala, Venkatesh, Mahindrakar, Amit Baburao
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London IWA Publishing 01.09.2021
Schlagworte:	adaptive machine learning Adaptive sampling Algorithms Approximation Climatic conditions Community support Emulators Fresh water Freshwater Groundwater hybrid simulators hydroclimatology Hydrology Inland water environment Learning algorithms Machine learning Mathematical analysis Optimization parallel computing Problem solving River basins Rivers Security spatial optimization Surface water Sustainable development Technology Vulnerability Water security Water shortages Water supply Watershed management Watersheds Atlanta Georgia United States > US Chattahoochee River
ISSN:	1464-7141, 1465-1734
Online-Zugang:	Volltext
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