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contributor authorYong Liu
contributor authorRui Zou
contributor authorHuaicheng Guo
date accessioned2017-05-08T22:03:13Z
date available2017-05-08T22:03:13Z
date copyrightJanuary 2011
date issued2011
identifier other%28asce%29wr%2E1943-5452%2E0000145.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/69954
description abstractWater quality management is subject to large uncertainties due to inherent randomness in the natural system and vagueness in the decision-making process. For water quality management optimization models, this means that some model coefficients can be represented by probability distributions, while others can be expressed only by ranges. Interval linear programming (ILP) and risk explicit interval linear programming (REILP) models for optimal load reduction at the watershed scale are developed for the management of Lake Qionghai Watershed, China. The optimal solution space of an ILP model is represented using intervals corresponding to the lower and upper bounds of each decision variable. The REILP model extends the ILP model through introducing a risk function and aspiration levels
publisherAmerican Society of Civil Engineers
titleRisk Explicit Interval Linear Programming Model for Uncertainty-Based Nutrient-Reduction Optimization for the Lake Qionghai Watershed
typeJournal Paper
journal volume137
journal issue1
journal titleJournal of Water Resources Planning and Management
identifier doi10.1061/(ASCE)WR.1943-5452.0000099
treeJournal of Water Resources Planning and Management:;2011:;Volume ( 137 ):;issue: 001
contenttypeFulltext


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