A Stochastic-Fuzzy Optimization Model for Adjustment of Urban Industrial Layout and Environmental Regulation in Beijing City under Uncertainties

被引：0
|
作者：
Zeng, X. T. [1 ]
Gao, G. L. [1 ]
Liu, J. [2 ]
Yang, A. L. [2 ]
机构：
[1] Capital Univ Econ & Business, Beijing 10070, Peoples R China
[2] Xiamen Sci & Technol, Ximen 361024, Fujian, Peoples R China
来源：
2018 2ND INTERNATIONAL CONFERENCE ON ENVIRONMENTAL AND ENERGY ENGINEERING (IC3E 2018) | 2018年 / 146卷
基金：
北京市自然科学基金;
关键词：
WATER-RESOURCES MANAGEMENT; PROGRAMMING-MODEL;
D O I：
10.1088/1755-1315/146/1/012025
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
In this study, a stochastic-fuzzy optimization model (SFM) is developed for adjusting current urban industrial layout and environmental regulation in Beijing under uncertainties The SFM can not only handle uncertainties expressed as probability and possibility distributions, but also reflecting the infeasibility risks between expected targets and random second-stage recourse penalties. The results of adjustment of production, industrial layout pattern, pollutant mitigation and system benefit under various Laplace criterion scenarios are analyzed. Tradeoff between industrial development and pollution mitigation can support policymakers generating a sustainable mode to alleviate air pollution issue.
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页数：6
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