Two-Stage Inexact-Probabilistic Programming Model for Water Quality Management

被引：9

作者：

Li, Yongping ^{[1
]}

Li, Wei ^{[2
]}

Huang, Guohe ^{[1
]}

机构：

[1] N China Elect Power Univ, MOE Key Lab Reg Energy Syst Optimizat, SC Resources & Environm Res Acad, Beijing 102206, Peoples R China

[2] Peking Univ, Coll Urban & Environm Sci, Beijing 100871, Peoples R China

来源：

ENVIRONMENTAL ENGINEERING SCIENCE | 2012年 / 29卷 / 07期

关键词：

chance-constrained; management; two-stage; uncertainty; water quality; UNCERTAINTY; OPTIMIZATION; SYSTEMS;

D O I：

10.1089/ees.2011.0317

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

A two-stage inexact-probabilistic programming (TIPP) method was developed for water quality management in Zhangweinan River Basin, through coupling two-stage stochastic programming with inexact chance-constrained programming. The developed TIPP can handle uncertainties presented as both discrete intervals and probability distributions, and can support the assessment of the reliability of satisfying (or the risk of violating) system's constraints for accomplishing a maximized system benefit. It can also be used for analyzing policy scenarios that are associated with different levels of economic penalties when the promised targets are violated. Interval solutions under different constraint-violation levels have been obtained. They can be used for generating decision alternatives and thus help managers to identify desired policies under various environmental, economic, and system-reliability constraints.

引用

页码：713 / 725

页数：13

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