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Optimization of regional economic and environmental systems under fuzzy and random uncertainties

被引：34
|
作者：
Li, Y. P. [1 ]
Huang, G. H. [1 ]
Nie, S. L. [2 ]
机构：
[1] N China Elect Power Univ, MOE Key Lab Reg Energy Syst Optimizat, SC Energy & Environm Res Acad, Beijing 102206, Peoples R China
[2] Beijing Univ Technol, Coll Mech Engn & Appl Elect Technol, Beijing 100022, Peoples R China
来源：
JOURNAL OF ENVIRONMENTAL MANAGEMENT | 2011年 / 92卷 / 08期
关键词：
Economy; Environment; Modeling; Planning; Pollution control; Uncertainty; WATER-QUALITY MANAGEMENT; LINEAR-PROGRAMMING APPROACH; WASTE MANAGEMENT; RESOURCES MANAGEMENT; RIVER-BASIN; MODEL; RESERVOIR;
D O I：
10.1016/j.jenvman.2011.03.022
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
Environmental problems associated with socio-economic development have been growing concerns faced by many regional and/or national authorities. However, effective planning may encounter difficulties since uncertainties existing in a number of impact factors and pollution-related processes are often not well acknowledged and reflected. This study advances an interval-fuzzy chance-constrained programming (IFCP) method for planning regional economic and environmental systems, where uncertainties presented as intervals, fuzzy sets and probability distributions can be tackled. The developed method is applied to a real-world case for economic and environmental planning in the New Binhai District in the Municipality of Tianjin, China. Two scenarios based on multiple environmental constraints are examined. The results can help identify desired alternatives for planning regional development strategies, where compromised schemes are provided under an integrated consideration of economic efficiency and environmental protection under multiple uncertainties. (C) 2011 Elsevier Ltd. All rights reserved.
引用
收藏
页码：2010 / 2020
页数：11
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