A Type-2 Fuzzy Based Interval-Stochastic Risk Management Programming Model for Identifying Sustainable Water Resources Allocation Policies

2018 2nd International Conference on Environmental and Energy Engineering

生态环境科学;能源学

Liu, J.^1,2 ; Li, Y.P.^1

Department of Environmental Engineering, Key Laboratory of Environmental Biotechnology (XMUT), Fujian Engineering and Research Center of Rural Sewage Treatment and Water Safety, Xiamen University of Technology, Xiamen

361024, China^1

Department of Environmental Engineering, Xiamen University of Technology, Xiamen

361024, China^2

关键词: Confidence levels;    Financial risk management;    Irrigation water allocation;    Irrigation waters;    Local authorities;    Programming models;    Satisfaction degrees;    Sustainable water resources;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/146/1/012020/pdf
DOI  :  10.1088/1755-1315/146/1/012020

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

In this study, a type-2 fuzzy based interval-stochastic risk management programming (TISRM) method is proposed for optimal irrigation water resources allocation associated with multiple uncertainties expressed as interval numbers, probability distributions, and type-2 fuzzy sets. TISRM can also reflect authorities' attitudes towards system risk using a financial risk management measure by controlling the variability of the recourse cost. The developed method is applied to irrigation water resources allocation for the Zhangweinan River Basin in China. Solutions of irrigation water allocation under different probability distributions and confidence levels are generated. Results reveal that system benefit and satisfaction degree would decrease with the raised λ levels; the CVaR values would change with the increment of λ and β levels as well as the varied cases; the irrigation targets of all crops in all subareas are reach their lower bounds; the irrigation deficits would be different with risk levels and cases. The results can help the local authority to adjust the current food security policy.