Abstract
Fine particulate matter (PM2.5) is a severe air pollution problem in China. Observations of PM2.5 have been available since 2013 from a large network operated by the China National Environmental Monitoring Center (CNEMC). The data show a general 30 %–50 % decrease in annual mean PM2.5 across China over the 2013–2018 period, averaging at −5.2 µg m−3 a−1. Trends in the five megacity cluster regions targeted by the government for air quality control are −9.3±1.8 µg m−3 a−1 (±95 % confidence interval) for Beijing–Tianjin–Hebei, −6.1±1.1 µg m−3 a−1 for the Yangtze River Delta, −2.7±0.8 µg m−3 a−1 for the Pearl River Delta, −6.7±1.3 µg m−3 a−1 for the Sichuan Basin, and −6.5±2.5 µg m−3 a−1 for the Fenwei Plain (Xi'an). Concurrent 2013–2018 observations of sulfur dioxide (SO2) and carbon monoxide (CO) show that the declines in PM2.5 are qualitatively consistent with drastic controls of emissions from coal combustion. However, there is also a large meteorologically driven interannual variability in PM2.5 that complicates trend attribution. We used a stepwise multiple linear regression (MLR) model to quantify this meteorological contribution to the PM2.5 trends across China. The MLR model correlates the 10 d PM2.5 anomalies to wind speed, precipitation, relative humidity, temperature, and 850 hPa meridional wind velocity (V850). The meteorology-corrected PM2.5 trends after removal of the MLR meteorological contribution can be viewed as being driven by trends in anthropogenic emissions. The mean PM2.5 decrease across China is −4.6 µg m−3 a−1 in the meteorology-corrected data, 12 % weaker than in the original data, meaning that 12 % of the PM2.5 decrease in the original data is attributable to meteorology. The trends in the meteorology-corrected data for the five megacity clusters are −8.0±1.1 µg m−3 a−1 for Beijing–Tianjin–Hebei (14 % weaker than in the original data), −6.3±0.9 µg m−3 a−1 for the Yangtze River Delta (3 % stronger), −2.2±0.5 µg m−3 a−1 for the Pearl River Delta (19 % weaker), −4.9±0.9 µg m−3 a−1 for the Sichuan Basin (27 % weaker), and −5.0±1.9 µg m−3 a−1 for the Fenwei Plain (Xi'an; 23 % weaker); 2015–2017 observations of flattening PM2.5 in the Pearl River Delta and increases in the Fenwei Plain can be attributed to meteorology rather than to relaxation of emission controls.
| Original language | English |
|---|---|
| Pages (from-to) | 11031-11041 |
| Number of pages | 11 |
| Journal | Atmospheric Chemistry and Physics |
| Volume | 19 |
| Issue number | 16 |
| Online published | 29 Aug 2019 |
| DOIs | |
| Publication status | Published - 2019 |
| Externally published | Yes |
Funding
This research has been supported by the Harvard-NUIST Joint Laboratory for Air Quality and Climate (JLAQC), the National Natural Science Foundation of China (grant nos. 41830965 and 91744209), and the National Key R&D Program Pilot Projects (grant no. 2016YFC0203304). Shixian Zhai acknowledges support from the China Scholarship Council (201708320314). Hong Liao is supported by the National Natural Science Foundation of China (91744311).
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 11 Sustainable Cities and Communities
Research Keywords
- UNITED-STATES IMPLICATIONS
- AIR-QUALITY
- CLIMATE-CHANGE
- HAZE POLLUTION
- JANUARY 2013
- HETEROGENEOUS CHEMISTRY
- CHEMICAL-COMPOSITION
- AMMONIA EMISSIONS
- NORTHERN CHINA
- EASTERN CHINA
Publisher's Copyright Statement
- This full text is made available under CC-BY 4.0. https://creativecommons.org/licenses/by/4.0/
Policy Impact
- Cited in Policy Documents
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