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

2018 2nd International Conference on Environmental and Energy Engineering

生态环境科学;能源学

Zeng, X.T.^1 ; Gao, G.L.^1 ; Liu, J.^2 ; Yang, A.L.^2

Capital University of Economics and Business, Beijing

10070, China^1

Xiamen Science and Technology, Ximen Fujian

361024, China^2

关键词: Beijing city;    Fuzzy optimization model;    Industrial development;    Industrial layouts;    Policy makers;    Pollution mitigation;    Possibility distributions;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/146/1/012025/pdf
DOI  :  10.1088/1755-1315/146/1/012025

学科分类：环境科学（综合）

来源: IOP

【 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.