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Title: Evaluation of China’s Environmental Pressures Based on Satellite NO 2 Observation and the Extended STIRPAT Model

Abstract

China’s rapid urbanization and industrialization have affected the spatiotemporal patterns of nitrogen dioxide (NO 2) pollution, which has caused greater environmental pressures. In order to mitigate the environmental pressures because of NO 2 pollution, it is of vital importance to investigate the influencing factors. We first obtained data for NO 2 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 NO 2 pollution and its contributing natural and socio-economic factors. The results are as follows. Cities with high NO 2 pollution are mainly concentrated in the North China Plain. On the contrary, southwestern cities are characterized by low NO 2 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 NO 2 pollution. In contrast, increases in the normalized difference vegetation index (NDVI), relative humidity, temperature, and wind speed may reduce NO 2 pollution. These empirical results should help the government to effectively and efficiently implement furthermore » emission reductions and energy saving policies in Chinese cities in a bid to mitigate the environmental pressures.« less

Authors:
 [1];  [1];  [2];  [1]; ORCiD logo [1];  [3];  [4];  [5]
  1. Zhejiang Univ., Hangzhou (China)
  2. Tianjin Polytechnic Univ., (China); Tsinghua Univ., Beijing (China)
  3. Wuhan Univ. (China)
  4. Xinyang Normal Univ. (China)
  5. Argonne National Lab. (ANL), Lemont, IL (United States)
Publication Date:
Research Org.:
Argonne National Lab. (ANL), Argonne, IL (United States)
Sponsoring Org.:
USDOE; National Natural Science Foundation of China (NNSFC); 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. doi: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. doi: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 = {2019},
month = {4}
}

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