Response of PM2.5 Pollution to Meteorological and Anthropogenic Emissions Changes During COVID-19 Lockdown in Hunan Province Based on WRF-Chem Model

45 Pages Posted: 30 Mar 2023

See all articles by Simin Dai

Simin Dai

Hunan University

Xuwu Chen

Hunan University of Technology and Business

Jie Liang

Hunan University

Xin Li

Hunan University

Shuai Li

Hunan University

Gaojie Chen

Hunan University

Zuo Chen

Hunan University

Juan Bin

Hunan University

Yifan Tang

Hunan University

Xiaodong Li

Hunan University

Abstract

In December 2019, the New Crown Pneumonia (the COVID-19) outbroke around the globe, and China imposed a nationwide lockdown starting as early as January 23. This decision has significantly impacted China's air quality, especially the sharp decrease in PM2.5 (aerodynamic equivalent diameter of particulate matter less than or equal to 2.5μm) pollution. Hunan Province is located in the central and eastern part of China, with a "horseshoe basin" topography. The reduction rate of PM2.5 concentrations in Hunan province during the COVID-19 (24.8%) was significantly higher than the national average (20.3%). Through the analysis of the changing character and pollution sources of haze pollution events in Hunan Province, more scientific countermeasures can be provided for the government. We use the Weather Research and Forecasting with Chemistry (WRF-Chem, V4.0) model to predict and simulate the PM2.5 concentrations under seven scenarios before the lockdown (2020.1.1-2020.1.22) and during the lockdown (2020.1.23-2020.2.14). Then, the PM2.5 concentrations under different conditions is compared to differentiate the contribution of meteorological conditions and local human activities to PM2.5 pollution. The results indicate the most important cause of PM2.5 pollution reduction is anthropogenic emissions from the residential sector, followed by the industrial sector, while the influence of meteorological factors is negligible. The explanation is that emission reductions from the residential sector contribute the most to the reduction of seven primary contaminants. Finally, we trace the source and transport path of the air mass in Hunan Province through the Concentration Weight Trajectory Analysis (CWT). We found that the external input of PM2.5 in Hunan Province is mainly from the air mass transported from the northeast, accounting for 34.3%-36.7%. To improve future air quality, there is an urgent need to burn clean energy, improve the industrial structure, rationalize energy use, and strengthen cross-regional air pollution synergy control.

Keywords: PM2.5, COVID-19, Hunan province, Meteorological, Anthropogenic emissions, Regional transportation

Suggested Citation

Dai, Simin and Chen, Xuwu and Liang, Jie and Li, Xin and Li, Shuai and Chen, Gaojie and Chen, Zuo and Bin, Juan and Tang, Yifan and Li, Xiaodong, Response of PM2.5 Pollution to Meteorological and Anthropogenic Emissions Changes During COVID-19 Lockdown in Hunan Province Based on WRF-Chem Model. Available at SSRN: https://ssrn.com/abstract=4401453 or http://dx.doi.org/10.2139/ssrn.4401453

Simin Dai

Hunan University ( email )

2 Lushan South Rd
Changsha, CA 410082
China

Xuwu Chen

Hunan University of Technology and Business ( email )

569 Yuelu Avenue
Changsha
China

Jie Liang

Hunan University ( email )

2 Lushan South Rd
Changsha, CA 410082
China

Xin Li

Hunan University ( email )

2 Lushan South Rd
Changsha, CA 410082
China

Shuai Li

Hunan University ( email )

2 Lushan South Rd
Changsha, CA 410082
China

Gaojie Chen

Hunan University ( email )

2 Lushan South Rd
Changsha, CA 410082
China

Zuo Chen

Hunan University ( email )

2 Lushan South Rd
Changsha, CA 410082
China

Juan Bin

Hunan University ( email )

2 Lushan South Rd
Changsha, CA 410082
China

Yifan Tang

Hunan University ( email )

2 Lushan South Rd
Changsha, CA 410082
China

Xiaodong Li (Contact Author)

Hunan University ( email )

2 Lushan South Rd
Changsha, CA 410082
China

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