A Multi-Objective Chance-Constrained Programming Approach for   Uncertainty-Based Optimal Nutrients Load Reduction at the Watershed   Scale

doi:10.3390/w9050322

CORC > 北京大学 > 环境科学与工程学院

	A Multi-Objective Chance-Constrained Programming Approach for Uncertainty-Based Optimal Nutrients Load Reduction at the Watershed Scale
	Liu, Xujun ; Zhang, Mengjiao ; Su, Han ; Dong, Feifei ; Ji, Yao ; Liu, Yong
刊名	WATER
	2017
关键词	multi-objective chance-constrained programming genetic algorithm robustness evaluation watershed load reduction Lake Qilu QUALITY MANAGEMENT DETERMINISTIC EQUIVALENTS EUTROPHIC LAKE OPTIMIZATION MODEL SYSTEMS NITROGEN TAIHU CHINA RIVER
DOI	10.3390/w9050322
英文摘要	A multi-objective chance-constrained programming integrated with Genetic Algorithm and robustness evaluation methods was proposed to weigh the conflict between system investment against risk for watershed load reduction, which was firstly applied to nutrient load reduction in the Lake Qilu watershed of the Yunnan Plateau, China. Eight sets of Pareto solutions were acceptable for both system investment and probability of constraint satisfaction, which were selected from 23 sets of Pareto solutions out of 120 solution sets. Decision-makers can select optimal decisions from the solutions above in accordance with the actual conditions of different sub-watersheds under various engineering measures. The relationship between system investment and risk demonstrated that system investment increased rapidly when the probability level of constraint satisfaction was higher than 0.9, but it reduced significantly if appropriate risk was permitted. Evaluation of robustness of the optimal scheme indicated that the Pareto solution obtained from the model provided the ideal option, since the solutions were always on the Pareto frontier under various distributions and mean values of the random parameters. The application of the multi-objective chance-constrained programming to optimize the reduction of watershed nutrient loads in Lake Qilu indicated that it is also applicable to other environmental problems or study areas that contain uncertainties.; National Basic Research Program of China [2015CB458900]; China National Water Pollution Control Program [2013ZX07102-006]; SCI(E); ARTICLE; 5; 9
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/473558]
专题	环境科学与工程学院
推荐引用方式 GB/T 7714	Liu, Xujun,Zhang, Mengjiao,Su, Han,et al. A Multi-Objective Chance-Constrained Programming Approach for Uncertainty-Based Optimal Nutrients Load Reduction at the Watershed Scale[J]. WATER,2017.
APA	Liu, Xujun,Zhang, Mengjiao,Su, Han,Dong, Feifei,Ji, Yao,&Liu, Yong.(2017).A Multi-Objective Chance-Constrained Programming Approach for Uncertainty-Based Optimal Nutrients Load Reduction at the Watershed Scale.WATER.
MLA	Liu, Xujun,et al."A Multi-Objective Chance-Constrained Programming Approach for Uncertainty-Based Optimal Nutrients Load Reduction at the Watershed Scale".WATER (2017).