Paper
22 April 2022 Characteristics analysis of air pollution source emission in Qinhuangdao based on WRF/CALPUFF model
Kuiquan Duan, Qingbo Li, Hui Liu, Fuming Zhou, Jie Lu
Author Affiliations +
Proceedings Volume 12163, International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2021); 121632H (2022) https://doi.org/10.1117/12.2627587
Event: International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2021), 2021, Nanjing, China
Abstract
In recent years, energy consumption in Qinhuangdao has continued to increase, especially during the heating period in winter, which has caused frequent occurrence of haze weather. Based on the air pollutant emission inventory of Qinhuangdao in 2019, this study simulated the concentration of primary pollutants SO2, NO2 and PM10 through WRF/CALPUFF model, and analyzed the contribution of seven major industries to pollutants under haze weather. The manufacturing industry had the greatest influence on SO2, NO2 and PM10 concentration, with contribution rates of 11.9%, 15.5% and 7.7%, respectively, the second was the energy supply industry, and its contribution rates were 5.11%, 7.68% and 5.16%, respectively, the shipping emission had the least influence SO2, NO2 and PM10 concentration, with contribution rates of 1.42%, 1.56% and 0.98%, respectively.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kuiquan Duan, Qingbo Li, Hui Liu, Fuming Zhou, and Jie Lu "Characteristics analysis of air pollution source emission in Qinhuangdao based on WRF/CALPUFF model", Proc. SPIE 12163, International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2021), 121632H (22 April 2022); https://doi.org/10.1117/12.2627587
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KEYWORDS
Data modeling

Air contamination

Atmospheric modeling

Pollution

Diffusion

Meteorology

Pollution control

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