Zhou Pan

Ms. Zhou Pan

Tianjin University, Tianjin, China
orcid

Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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20 October 2022 in Journal of Cleaner Production
Verified
Journal Article
Closed access
ZPZhou Pan
Zhou Pan
WYWang Yuan
Wang Yuan
JRJingzheng Ren
Jingzheng Ren
HCHong Chen
Hong Chen
YLYaling Lu
Yaling Lu
CYChenbo Yang
Chenbo Yang

WYWang Yuan
Wang Yuan
ZPZhou Pan
Zhou Pan
YLYUe Li
YUe Li
YLYaling Lu
Yaling Lu
YDYiming Dong
Yiming Dong
LPLiying Ping
Liying Ping
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 PM2.5 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 PM2.5 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.