Inexact nonlinear improved fuzzy chance-constrained programming model for irrigation water management under uncertainty

•An inexact nonlinear mλ-measure fuzzy chance-constrained programming model is developed.•The model is applied to Heihe River Basin in northwest China for irrigation water management.•Interval quadratic crop water production functions are obtained based on interval regression method.•The model impro...

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Veröffentlicht in:	Journal of hydrology (Amsterdam) Jg. 556; S. 397 - 408
Hauptverfasser:	Zhang, Chenglong, Zhang, Fan, Guo, Shanshan, Liu, Xiao, Guo, Ping
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.01.2018
Schlagworte:	case studies China Interval crop water production function irrigation management irrigation water Irrigation water allocation mλ-Measure fuzzy chance-constrained programming Nonlinearity production functions quadratic programming regression analysis risk System benefits uncertainty water allocation watersheds China System benefits Nonlinearity mλ-Measure fuzzy chance-constrained programming Interval crop water production function Irrigation water allocation
ISSN:	0022-1694, 1879-2707
Online-Zugang:	Volltext
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