Exploring efficient strategies for air quality improvement in China based on its regional characteristics and interannual evolution of PM2.5 pollution

Xin-Ze Geng; Jia-Tian Hu; Zi-Meng Zhang; Zhi-Ling Li; Chong-Jun Chen; Yu-Long Wang; Zhi-Qing Zhang; Ying-Jie Zhong

doi:10.1016/j.envres.2024.119009

Exploring efficient strategies for air quality improvement in China based on its regional characteristics and interannual evolution of PM_2.5 pollution

Environ Res. 2024 Apr 26;252(Pt 3):119009. doi: 10.1016/j.envres.2024.119009. Online ahead of print.

Authors

Xin-Ze Geng¹, Jia-Tian Hu², Zi-Meng Zhang², Zhi-Ling Li², Chong-Jun Chen³, Yu-Long Wang², Zhi-Qing Zhang², Ying-Jie Zhong²

Affiliations

¹ State Key Laboratory of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin, 150090, China. Electronic address: gengxinze2021@163.com.
² State Key Laboratory of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin, 150090, China.
³ School of Environmental Science and Engineering, Suzhou University of Science and Technology, Suzhou, 215009, China.

PMID: 38679277
DOI: 10.1016/j.envres.2024.119009

Abstract

Fine particulate matter (PM_2.5) harms human health and hinders normal human life. Considering the serious complexity and obvious regional characteristics of PM_2.5 pollution, it is urgent to fill in the comprehensive overview of regional characteristics and interannual evolution of PM_2.5. This review studied the PM_2.5 pollution in six typical areas between 2014 and 2022 based on the data published by the Chinese government and nearly 120 relevant literature. We analyzed and compared the characteristics of interannual and quarterly changes of PM_2.5 concentration. The Beijing-Tianjin-Hebei region (BTH), Yangtze River Delta (YRD) and Pearl River Delta (PRD) made remarkable progress in improving PM_2.5 pollution, while Fenwei Plain (FWP), Sichuan Basin (SCB) and Northeast Plain (NEP) were slightly inferior mainly due to the relatively lower level of economic development. It was found that the annual average PM_2.5 concentration change versus year curves in the three areas with better pollution control conditions can be merged into a smooth curve. Importantly, this can be fitted for the accurate evaluation of each area and provide reliable prediction of its future evolution. In addition, we analyzed the factors affecting the PM_2.5 in each area and summarize the causes of air pollution in China. They included primary emission, secondary generation, regional transmission, as well as unfavorable air dispersion conditions. We also suggested that the PM_2.5 pollution control should target specific industries and periods, and further research need to be carried out on the process of secondary production. The results provided useful assistance such as effect prediction and strategy guidance for PM_2.5 pollution control in Chinese backward areas.

Keywords: Causes; Interannual evolution; PM(2.5) pollution; Regional characteristic.

Publication types

Review