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

China’s rapid urbanization and industrialization have affected the spatiotemporal patterns of nitrogen dioxide (NO(2)) pollution, which has led to greater environmental pressures. In order to mitigate the environmental pressures caused by NO(2) pollution, it is of vital importance to investigate the...

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Detalles Bibliográficos
Autores principales: Cui, Yuanzheng, Jiang, Lei, Zhang, Weishi, Bao, Haijun, Geng, Bin, He, Qingqing, Zhang, Long, Streets, David G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6539091/
https://www.ncbi.nlm.nih.gov/pubmed/31035528
http://dx.doi.org/10.3390/ijerph16091487
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author Cui, Yuanzheng
Jiang, Lei
Zhang, Weishi
Bao, Haijun
Geng, Bin
He, Qingqing
Zhang, Long
Streets, David G.
author_facet Cui, Yuanzheng
Jiang, Lei
Zhang, Weishi
Bao, Haijun
Geng, Bin
He, Qingqing
Zhang, Long
Streets, David G.
author_sort Cui, Yuanzheng
collection PubMed
description China’s rapid urbanization and industrialization have affected the spatiotemporal patterns of nitrogen dioxide (NO(2)) pollution, which has led to greater environmental pressures. In order to mitigate the environmental pressures caused by 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 further emission reductions and energy saving policies in Chinese cities in a bid to mitigate the environmental pressures.
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spelling pubmed-65390912019-06-05 Evaluation of China’s Environmental Pressures Based on Satellite NO(2) Observation and the Extended STIRPAT Model Cui, Yuanzheng Jiang, Lei Zhang, Weishi Bao, Haijun Geng, Bin He, Qingqing Zhang, Long Streets, David G. Int J Environ Res Public Health Article China’s rapid urbanization and industrialization have affected the spatiotemporal patterns of nitrogen dioxide (NO(2)) pollution, which has led to greater environmental pressures. In order to mitigate the environmental pressures caused by 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 further emission reductions and energy saving policies in Chinese cities in a bid to mitigate the environmental pressures. MDPI 2019-04-26 2019-05 /pmc/articles/PMC6539091/ /pubmed/31035528 http://dx.doi.org/10.3390/ijerph16091487 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
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 NO(2) Observation and the Extended STIRPAT Model
title Evaluation of China’s Environmental Pressures Based on Satellite NO(2) Observation and the Extended STIRPAT Model
title_full Evaluation of China’s Environmental Pressures Based on Satellite NO(2) Observation and the Extended STIRPAT Model
title_fullStr Evaluation of China’s Environmental Pressures Based on Satellite NO(2) Observation and the Extended STIRPAT Model
title_full_unstemmed Evaluation of China’s Environmental Pressures Based on Satellite NO(2) Observation and the Extended STIRPAT Model
title_short Evaluation of China’s Environmental Pressures Based on Satellite NO(2) Observation and the Extended STIRPAT Model
title_sort evaluation of china’s environmental pressures based on satellite no(2) observation and the extended stirpat model
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6539091/
https://www.ncbi.nlm.nih.gov/pubmed/31035528
http://dx.doi.org/10.3390/ijerph16091487
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