Attribution of Air Quality Benefits to Clean Winter Heating Policies in China: Combining Machine Learning with Causal Inference.
Attribution of Air Quality Benefits to Clean Winter Heating Policies in China: Combining Machine Learning with Causal Inference.
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中国将空气质量效益归因于清洁冬季取暖政策:机器学习与因果推理相结合。
DOI:
10.1021/acs.est.2c06800
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发表时间:
2023-11-21
影响因子:
11.4
通讯作者:
Shi, Zongbo
中科院分区:
文献类型:
--
作者:
Song, Congbo;Liu, Bowen;Cheng, Kai;Cole, Matthew A.;Dai, Qili;Elliott, Robert J. R.;Shi, Zongbo
Heating is a major source of air pollution. To improve air quality, a range of clean heating policies were implemented in China over the past decade. Here, we evaluated the impacts of winter heating and clean heating policies on air quality in China using a novel, observation-based causal inference approach. During 2015–2021, winter heating causally increased annual PM2.5, daily maximum 8-h average O3, and SO2 by 4.6, 2.5, and 2.3 μg m–3, respectively. From 2015 to 2021, the impacts of winter heating on PM2.5 in Beijing and surrounding cities (i.e., “2 + 26” cities) decreased by 5.9 μg m–3 (41.3%), whereas that in other northern cities only decreased by 1.2 μg m–3 (12.9%). This demonstrates the effectiveness of stricter clean heating policies on PM2.5 in “2 + 26” cities. Overall, clean heating policies caused the annual PM2.5 in mainland China to reduce by 1.9 μg m–3 from 2015 to 2021, potentially avoiding 23,556 premature deaths in 2021. Quasi-natural experimental study reveals significant benefits of clean heating policies on improving air quality and public health in China.
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影响因子:
13.6
作者:
Shi Z;Song C;Liu B;Lu G;Xu J;Van Vu T;Elliott RJR;Li W;Bloss WJ;Harrison RM
通讯作者:
Harrison RM
影响因子:
4.2
作者:
Abadie, Alberto;Diamond, Alexis;Hainmueller, Jens
通讯作者:
Hainmueller, Jens
影响因子:
3.5
作者:
Fan, Maoyong;He, Guojun;Zhou, Maigeng
通讯作者:
Zhou, Maigeng
影响因子:
29.9
作者:
Shen, Huizhong;Shen, Guofeng;Smith, Kirk R.
通讯作者:
Smith, Kirk R.
影响因子:
6.3
作者:
Vu, Tuan V.;Shi, Zongbo;Harrison, Roy M.
通讯作者:
Harrison, Roy M.