Evaluation of China’s Environmental Pressures Based on Satellite NO2 Observation and the Extended STIRPAT Model
Abstract
China’s rapid urbanization and industrialization have affected the spatiotemporal patterns of nitrogen dioxide (NO2) pollution, which has caused greater environmental pressures. In order to mitigate the environmental pressures because of NO2 pollution, it is of vital importance to investigate the influencing factors. We first obtained data for NO2 pollution at the city level using satellite observation techniques and analyzed its spatial distribution. Next, we introduced a theoretical framework, an extended stochastic impacts by regression on population, affluence, and technology (STIRPAT) model, to quantify the relationship between NO2 pollution and its contributing natural and socio-economic factors. The results are as follows. Cities with high NO2 pollution are mainly concentrated in the North China Plain. On the contrary, southwestern cities are characterized by low NO2 pollution. In addition, we find that population, per capita gross domestic product, the share of the secondary industry, ambient air pressures, total nighttime light data, and urban road area have a positive impact on NO2 pollution. In contrast, increases in the normalized difference vegetation index (NDVI), relative humidity, temperature, and wind speed may reduce NO2 pollution. These empirical results should help the government to effectively and efficiently implement further emission reductions and energy saving policies in Chinesemore »
- Authors:
-
[1];
- Zhejiang Univ., Hangzhou (China)
- Tianjin Polytechnic Univ., (China); Tsinghua Univ., Beijing (China)
- Wuhan Univ. (China)
- Xinyang Normal Univ. (China)
- Argonne National Lab. (ANL), Lemont, IL (United States)
- Publication Date:
- Research Org.:
- Argonne National Laboratory (ANL), Argonne, IL (United States)
- Sponsoring Org.:
- USDOE; National Natural Science Foundation of China (NSFC); Ministry of Education of the People's Republic of China
- OSTI Identifier:
- 1557641
- Grant/Contract Number:
- AC02-06CH11357
- Resource Type:
- Accepted Manuscript
- Journal Name:
- International Journal of Environmental Research and Public Health
- Additional Journal Information:
- Journal Volume: 16; Journal Issue: 9; Journal ID: ISSN 1660-4601
- Publisher:
- MDPI
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES; Chinese cities; extended STIRPAT model; nitrogen dioxide pollution; satellite observations; urban environmental pressures
Citation Formats
Cui, Yuanzheng, Jiang, Lei, Zhang, Weishi, Bao, Haijun, Geng, Bin, He, Qingqing, Zhang, Long, and Streets, David G. Evaluation of China’s Environmental Pressures Based on Satellite NO2 Observation and the Extended STIRPAT Model. United States: N. p., 2019.
Web. doi:10.3390/ijerph16091487.
Cui, Yuanzheng, Jiang, Lei, Zhang, Weishi, Bao, Haijun, Geng, Bin, He, Qingqing, Zhang, Long, & Streets, David G. Evaluation of China’s Environmental Pressures Based on Satellite NO2 Observation and the Extended STIRPAT Model. United States. https://doi.org/10.3390/ijerph16091487
Cui, Yuanzheng, Jiang, Lei, Zhang, Weishi, Bao, Haijun, Geng, Bin, He, Qingqing, Zhang, Long, and Streets, David G. Fri .
"Evaluation of China’s Environmental Pressures Based on Satellite NO2 Observation and the Extended STIRPAT Model". United States. https://doi.org/10.3390/ijerph16091487. https://www.osti.gov/servlets/purl/1557641.
@article{osti_1557641,
title = {Evaluation of China’s Environmental Pressures Based on Satellite NO2 Observation and the Extended STIRPAT Model},
author = {Cui, Yuanzheng and Jiang, Lei and Zhang, Weishi and Bao, Haijun and Geng, Bin and He, Qingqing and Zhang, Long and Streets, David G.},
abstractNote = {China’s rapid urbanization and industrialization have affected the spatiotemporal patterns of nitrogen dioxide (NO2) pollution, which has caused greater environmental pressures. In order to mitigate the environmental pressures because of NO2 pollution, it is of vital importance to investigate the influencing factors. We first obtained data for NO2 pollution at the city level using satellite observation techniques and analyzed its spatial distribution. Next, we introduced a theoretical framework, an extended stochastic impacts by regression on population, affluence, and technology (STIRPAT) model, to quantify the relationship between NO2 pollution and its contributing natural and socio-economic factors. The results are as follows. Cities with high NO2 pollution are mainly concentrated in the North China Plain. On the contrary, southwestern cities are characterized by low NO2 pollution. In addition, we find that population, per capita gross domestic product, the share of the secondary industry, ambient air pressures, total nighttime light data, and urban road area have a positive impact on NO2 pollution. In contrast, increases in the normalized difference vegetation index (NDVI), relative humidity, temperature, and wind speed may reduce NO2 pollution. These empirical results should help the government to effectively and efficiently implement further emission reductions and energy saving policies in Chinese cities in a bid to mitigate the environmental pressures.},
doi = {10.3390/ijerph16091487},
journal = {International Journal of Environmental Research and Public Health},
number = 9,
volume = 16,
place = {United States},
year = {Fri Apr 26 00:00:00 EDT 2019},
month = {Fri Apr 26 00:00:00 EDT 2019}
}
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