An interval-parameter mean-CVaR two-stage stochastic programming approach for waste management under uncertainty

被引:19
作者
Dai, C. [1 ]
Cai, X. H. [1 ]
Cai, Y. P. [2 ,3 ]
Huo, Q. [1 ]
Lv, Y. [2 ]
Huang, G. H. [3 ]
机构
[1] Peking Univ, Dept Environm Sci, Beijing 100871, Peoples R China
[2] Beijing Normal Univ, Sch Environm, State Key Lab Water Environm Simulat, Beijing 100875, Peoples R China
[3] Univ Regina, Inst Energy Environm & Sustainable Communities, Regina, SK S4S 7H9, Canada
关键词
Conditional value-at-risk; Mean-risk; Interval parameter; Uncertainty; Solid waste management; WATER-RESOURCES MANAGEMENT; VALUE-AT-RISK; OPTIMIZATION MODEL; DUAL UNCERTAINTIES; ALLOCATION; ALGORITHM; SYSTEMS;
D O I
10.1007/s00477-013-0738-6
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In this research, approaches of interval mathematical programming, two-stage stochastic programming and conditional value-at-risk (CVaR) are incorporated within a general modeling framework, leading to an interval-parameter mean-CVaR two-stage stochastic programming (IMTSP). The developed method has several advantages: (i) it can be used to deal with uncertainties presented as interval numbers and probability distributions, (ii) its objective function simultaneously takes expected cost and system risk into consideration, thus, it is useful for helping decision makers analyze the trade-offs between cost and risk, and (iii) it can be used for supporting quantitatively evaluating the right tail of distributions of waste generation rate, which can better quantify the system risk. The IMTSP model is applied to the long-term planning of municipal solid waste management system in the City of Regina, Canada. The results indicate that IMTSP performs better in its capability of generating a series of waste management patterns under different risk-aversion levels, and also providing supports for decision makers in identifying desired waste flow strategies, considering balance between system economy and environmental quality.
引用
收藏
页码:167 / 187
页数:21
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