A refined risk explicit interval linear programming approach for optimal watershed load reduction with objectiveconstraint uncertainty tradeoff analysis

doi:10.1007/s11783-014-0683-8

CORC > 北京大学 > 环境科学与工程学院

	A refined risk explicit interval linear programming approach for optimal watershed load reduction with objectiveconstraint uncertainty tradeoff analysis
	Yang Pingjian ; Dong Feifei ; Liu Yong ; Zou Rui ; Chen Xing ; Guo Huaicheng
刊名	Frontiers of Environmental Science & Engineering
	2016
关键词	refined risk explicit interval linear programming decision making objective-constraint uncertainty tradeoff aspiration level Lake Qionghai Watershed QUALITY MANAGEMENT DECISION-MAKING RIVER-BASIN OPTIMIZATION MODEL POLLUTION SYSTEMS SIMULATION SCALE
DOI	10.1007/s11783-014-0683-8
英文摘要	To enhance the effectiveness of watershed load reduction decision making, the Risk Explicit Interval Linear Programming (REILP) approach was developed in previous studies to address decision risks and system returns. However, REILP lacks the capability to analyze the tradeoff between risks in the objective function and constraints. Therefore, a refined REILP model is proposed in this study to further enhance the decision support capability of the REILP approach for optimal watershed load reduction. By introducing a tradeoff factor (α) into the total risk function, the refined REILP can lead to different compromises between risks associated with the objective functions and the constraints. The proposed model was illustrated using a case study that deals with uncertaintybased optimal load reduction decision making for Lake Qionghai Watershed, China. A risk tradeoff curve with different values of α was presented to decision makers as a more flexible platform to support decision formulation. The results of the standard and refined REILP model were compared under 11 aspiration levels. The results demonstrate that, by applying the refined REILP, it is possible to obtain solutions that preserve the same constraint risk as that in the standard REILP but with lower objective risk, which can provide more effective guidance for decision makers.; supported by the National Natural Science Foundation of China,the Doctoral Program of Higher Education of China,China National Water Pollution Control Program; SCI(E); EI; 中国科学引文数据库(CSCD); rz5q@yahoo.com; hcguo@pku.edu.cn; 1; 129-140; 10
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/449923]
专题	环境科学与工程学院
推荐引用方式 GB/T 7714	Yang Pingjian,Dong Feifei,Liu Yong,et al. A refined risk explicit interval linear programming approach for optimal watershed load reduction with objectiveconstraint uncertainty tradeoff analysis[J]. Frontiers of Environmental Science & Engineering,2016.
APA	Yang Pingjian,Dong Feifei,Liu Yong,Zou Rui,Chen Xing,&Guo Huaicheng.(2016).A refined risk explicit interval linear programming approach for optimal watershed load reduction with objectiveconstraint uncertainty tradeoff analysis.Frontiers of Environmental Science & Engineering.
MLA	Yang Pingjian,et al."A refined risk explicit interval linear programming approach for optimal watershed load reduction with objectiveconstraint uncertainty tradeoff analysis".Frontiers of Environmental Science & Engineering (2016).