Xiaowei Sun1, Shuiyuan Cheng 1,2, Jianbing Li3, Wei Wen4

  • 1 Key Laboratory of Beijing on Regional Air Pollution Control, Beijing University of Technology, Beijing 100124, China
  • 2 Collaborative Innovation Center of Electric Vehicles in Beijing, Beijing 100081, China
  • 3 Environmental Engineering Program, University of Northern British Columbia, Prince George, British Columbia V2N 4Z9, Canada
  • 4 Environmental Meteorology Forecast Center of Beijing-Tianjin-Hebei, China Meteorological Administration, Beijing 100089, China

Received: September 26, 2016
Revised: January 21, 2017
Accepted: February 20, 2017
Download Citation: ||https://doi.org/10.4209/aaqr.2016.09.0418  

  • Download: PDF


Cite this article:
Sun, X., Cheng, S., Li, J. and Wen, W. (2017). An Integrated Air Quality Model and Optimization Model for Regional Economic and Environmental Development: A Case Study of Tangshan, China. Aerosol Air Qual. Res. 17: 1592-1609. https://doi.org/10.4209/aaqr.2016.09.0418


HIGHLIGHTS

  • ILP method was applied.
  • Air quality Models and optimization models were coupled.
  • Industries with higher sensitivity coefficients should be controlled first.

 

ABSTRACT


An interval programming optimization model was formulated to develop effective and feasible regional economic structure adjustment plan using Tangshan Municipality in China as a case study. The optimization model was coupled with a WRF-CAMx-PSAT air quality simulation system through the estimated industrial emission sensitivity coefficients and equivalent coefficients for PM2.5 concentrations. Seven categories of industries were examined, and the results indicated that industries with higher emission sensitivity coefficients should be given priority for control. The effectiveness of the obtained optimal schemes was further assessed by the air quality simulation system. It indicated that PM2.5 concentrations in Tangshan would decrease by [33.5%, 39.3%] than those in 2013. This study provided an effective method framework for industries to maximize profits while meeting certain air quality constraints under uncertainty through the coupling of air quality simulation and optimization models.


Keywords: Air quality model; Emission sources; Interval programming; Optimization model; Sensitivity coefficient


Share this article with your colleagues 

 

Subscribe to our Newsletter 

Aerosol and Air Quality Research has published over 2,000 peer-reviewed articles. Enter your email address to receive latest updates and research articles to your inbox every second week.

6.5
2021CiteScore
 
 
77st percentile
Powered by
Scopus
 
   SCImago Journal & Country Rank

2021 Impact Factor: 4.53
5-Year Impact Factor: 3.668

Aerosol and Air Quality Research partners with Publons

Aerosol and Air Quality Research partners with Publons

Aerosol and Air Quality Research (AAQR) is an independently-run non-profit journal that promotes submissions of high-quality research and strives to be one of the leading aerosol and air quality open-access journals in the world. We use cookies on this website to personalize content to improve your user experience and analyze our traffic. By using this site you agree to its use of cookies.