Multi-Water Resources Optimal Allocation Based on Multi-Objective Uncertain Chance-Constrained Programming Model

Owing to serious water shortages and frequent water waste, water crises have swept the world and become progressively severe. One major question is how to rationally allocate limited water resources to guarantee daily water requirements and achieve sustainable and coordinated development simultaneou...

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Veröffentlicht in:	Water resources management Jg. 34; H. 15; S. 4881 - 4899
Hauptverfasser:	Li, Xiaona, Wang, Xiaosheng, Guo, Haiying, Ma, Weimin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Dordrecht Springer Netherlands 01.12.2020 Springer Nature B.V
Schlagworte:	administrative management Atmospheric Sciences China Civil Engineering Climate change cost effectiveness Dynamic programming Earth and Environmental Science Earth Sciences Economic models Economics Environment Geotechnical Engineering & Applied Earth Sciences Groundwater Hydrogeology Hydrology/Water Resources issues and policy Linear programming Multiple objective analysis Optimization techniques Parameter uncertainty Rain Random variables Reclaimed water risk Supply & demand supply balance Sustainable development uncertainty wastes wastewater treatment Water consumption Water crises Water requirements Water resources Water reuse Water shortages Water supply Water users China Multi-objective uncertain chance-constrained programming (MUCCP) Uncertain variable Water resources optimal allocation (WROA) Uncertainty theory
ISSN:	0920-4741, 1573-1650
Online-Zugang:	Volltext
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