主办单位:中国气象局沈阳大气环境研究所
国际刊号:ISSN 1673-503X
国内刊号:CN 21-1531/P

Journal of Meteorology and Environment ›› 2022, Vol. 38 ›› Issue (3): 85-92.doi: 10.3969/j.issn.1673-503X.2022.03.010

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The impact of concentration change of PM2.5 on air temperature in China during 1998-2016

Yuan-jun XIAO1(),Bao-shan LI1,Wen-dan SONG1,Yong-xiang CHENG1,*(),Jing-feng HUANG2   

  1. 1. College of Life Sciences, Shihezi University, Shihezi 832003, China
    2. Institute of Agricultural Remote Sensing and Information Technology Application, Zhejiang University, Hangzhou 310058, China
  • Received:2021-01-18 Online:2022-06-28 Published:2022-07-23
  • Contact: Yong-xiang CHENG E-mail:1784132320@qq.com;chengyongxiang613@163.com

Abstract:

Based on daily maximum temperature, daily minimum temperature, and daily average temperature data from 1951 to 2017 from China's 822 weather stations, remote sensing image data for annual average PM2.5 concentrations in China, surface solar radiation data, annual energy consumption, GDP (gross domestic product) and the night lights index data during 1998-2016, using the slope trend analysis and correlation analysis, the changing trend of PM2.5 concentrations in China and its impact factors were analyzed.The results show that the PM2.5 concentrations in the Huang-Huai-Hai region and the northeastern part of China have the largest increase rates i.e.1.42 μg·m-2·a-1 and 1.44 μg·m-2·a-1 from 1998 to 2016, respectively, while those in the other regions have no obvious change.The average PM2.5 concentration in the Huang-Huai-Hai region is high, which reduces the local surface solar radiation and significantly inhibits the local annual maximum temperature, but has no obvious influence on the annual average and minimum temperatures.In northeast China, the annual average PM2.5 concentration despite showing a relatively large increase rate is far lower than that in the Huang-Huai-Hai region, and a high hydrothermal coordination degree induces an inconspicuous inhibition effect of PM2.5 on the annual maximum temperature.Besides, the total energy consumption is positively correlated with PM2.5 concentration.

Key words: Human activities, PM2.5, Air pollution, Air temperature

CLC Number: