Quantitative estimation of air pollutant emission rate based on urban atmospheric load index

MEI Mei1,2,3 XU Da-hai4 ZHU Rong3 WANG Zong-shuang5

(1.Chinese Academy of Meteorological Sciences, Beijing 100081)
(2.University of Chinese Academy of Sciences, Beijing 100049)
(3.National Climate Center, Laboratory for Climate Studies of China Meteorological Administration, Beijing 100081)
(4.State Key Laboratory of Severe Weather & Key Laboratory of Atmospheric Chemistry of China Meteorological Administration, Chinese Academy of Meteorological Sciences, Beijing 100081)
(5.Environmental Standard Institute, Chinese Research Academy of Environmental Sciences, Beijing 100012)
【Knowledge Link】solar elevation angle

【Abstract】Based on the observed PM2.5 concentration data and atmospheric self-cleaning ability index (ASI) calculated by meteorological observation data, the change in the pollutant emission rate per capita during two periods by applying the urban atmospheric load index was analyzed. Meanwhile, the effects of the meteorological condition and emission reduction on the change in the air pollutant concentration from September 2013 to February 2019 were investigated. The emission reduction in autumn and winter was more obvious than that in spring and summer. The effect initially appeared in the autumn and winter of 2014 due to emission reductions occurring in 74.5% of cities, and the average emission reduction was 12.6% in this area. The emission reduction was substantially in the autumn and winter of 2017 and 2018 in major cities of Beijing-Tianjin-Hebei and its surrounding areas, with an emission reduction rate being 54.0% and 47.7% respectively relative to the base year. Emission in Changzhi during autumn and winter of 2014–2017 was more than that in the base year and started to decline in 2018. The change in the emission rate in Shijiazhuang presented a large fluctuation, and in the winter of 2016, it was 68.2% more than that in 2014. Hence, special attention should be paid to these two cities. The urban atmospheric load index can objectively and quantitatively reflect the direction and magnitude of the change in the emission rate in typical emission reduction periods, and thus it is an effective method to evaluate the effects of meteorological conditions and emission control measures on pollutant concentration changes.

【Keywords】 quantitative evaluation of emission reduction effect; urban atmospheric load index; atmospheric self-cleaning ability index; air pollutant emission rate;


【Funds】 Heavy Air Pollution Causes and Control Governance Projects (DQGG00302) Strategic Leading Sci-tech Program of the Chinese Academy of Sciences (XDA20100304) Youth Fund Project of Laboratory for Climate Studies, National Climate Center, China Meteorological Administration

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This Article


CN: 11-2201/X

Vol 40, No. 02, Pages 465-474

February 2020


Article Outline



  • 1 Data and methods
  • 2 Result analysis
  • 3 Conclusions
  • References