Optimization of Emission Reduction Target in the Beijing–Tianjin–Hebei Region: An Atmospheric Transfer Coefficient Matrix Perspective

Yuan Wang, Zhou Pan, Yue Li, Yaling Lu (), Yiming Dong and Liying Ping ()
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Yuan Wang: School of Environmental Science and Engineering, Tianjin University, Tianjin 300072, China
Zhou Pan: School of Environmental Science and Engineering, Tianjin University, Tianjin 300072, China
Yue Li: School of Environmental Science and Engineering, Tianjin University, Tianjin 300072, China
Yaling Lu: School of Environmental Science and Engineering, Tianjin University, Tianjin 300072, China
Yiming Dong: School of Environment, Beijing Normal University, Beijing 100091, China
Liying Ping: School of Environmental Science and Engineering, Tianjin University, Tianjin 300072, China

IJERPH, 2022, vol. 19, issue 20, 1-14

Abstract: In recent years, the problem of atmospheric pollution has been concerning in the Beijing–Tianjin–Hebei region, due to the frequent haze. It has become a significant issue to improve regional air quality through appropriate emission reduction measures. In this study, considering the regional atmospheric transmission of air pollutants, the WRF/CALPUFF model (the Weather Research and Forecasting model coupled with the California Puff air quality model) was used to describe the impact of each city’s pollutant emissions on the concentrations of every city. Then, a new optimization model was designed to calculate the maximum allowable emissions of every city. The results showed that NOx and PM 2.5 emissions need to be reduced by 44% and 48%, respectively, in the traditional mitigation scenario (any city’s pollutant emissions are not allowed to increase). However, in the optimized scenario, NOx and PM 2.5 emissions should be reduced by 23% and 46%, respectively, to meet the national secondary standard. The emissions of cities with low transfer coefficients, such as Zhangjiakou, Qinhuangdao, and Chengde, could even be appropriately increased. This means that the optimized scenario could reduce the pressure on emission reduction. Although the optimization results are theoretical and idealistic, this research study provides a new idea for formulating emission mitigation policies in various regions to reduce the impact on the economy.

Keywords: air pollutants; emission reduction assessment; optimized scenario analysis; WRF/CALPUFF; linear optimization model (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
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