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Spatiotemporal Changes in PM(2.5) and Their Relationships with Land-Use and People in Hangzhou

Increases in the extent and level of air pollution in Chinese cities have become a major concern of the public and burden on the government. While ample literature has focused on the status, changes and causes of air pollution (particularly on PM(2.5) and PM(10)), significantly less is known on thei...

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Autores principales: Tian, Li, Hou, Wei, Chen, Jiquan, Chen, Chaonan, Pan, Xiaojun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6211054/
https://www.ncbi.nlm.nih.gov/pubmed/30297620
http://dx.doi.org/10.3390/ijerph15102192
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author Tian, Li
Hou, Wei
Chen, Jiquan
Chen, Chaonan
Pan, Xiaojun
author_facet Tian, Li
Hou, Wei
Chen, Jiquan
Chen, Chaonan
Pan, Xiaojun
author_sort Tian, Li
collection PubMed
description Increases in the extent and level of air pollution in Chinese cities have become a major concern of the public and burden on the government. While ample literature has focused on the status, changes and causes of air pollution (particularly on PM(2.5) and PM(10)), significantly less is known on their effects on people. In this study we used Hangzhou, China, as our testbed to assess the direct impact of PM(2.5) on youth populations that are more vulnerable to pollution. We used the ground monitoring data of air quality and Aerosol optical thickness (AOT) product from the Moderate Resolution Imaging Spectroradiometer (MODIS) for the spatiotemporal changes of PM(2.5) by season in 2015. We further explored these distributions with land cover, population density and schools (kindergarten, primary school and middle school) to explore the potential impacts in seeking potential mitigation solutions. We found that the seasonal variation of PM(2.5) concentration was winter > spring > autumn > summer. In Hangzhou, the percentage of land area exposed to PM(2.5) > 50 µg m(−3) accounted for 59.86% in winter, 56.62% in spring, 40.44% in autumn and 0% in summer, whereas these figures for PM(2.5) of <35 µg m(−3) were 70.01%, 5.28%, 5.17%, 4.16% in summer, winter, autumn and spring, respectively. As for land cover, forest experienced PM(2.5) of 35–50 µg m(−3) (i.e., lower than those of other cover types), likely due to the potential filtering and absorption function of the forests. More importantly, a quantitative index based on population-weighted exposure level (pwel) indicated that only 9.06% of the population lived in areas that met the national air quality standards. Only 1.66% (14,055) of infants and juveniles lived in areas with PM(2.5) of <35 µg m(−3). Considering the legacy effects of PM(2.5) over the long-term, we highly recommend improving the monitoring systems for both air quality and people (i.e., their health conditions), with special attention paid to infants and juveniles.
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spelling pubmed-62110542018-11-02 Spatiotemporal Changes in PM(2.5) and Their Relationships with Land-Use and People in Hangzhou Tian, Li Hou, Wei Chen, Jiquan Chen, Chaonan Pan, Xiaojun Int J Environ Res Public Health Article Increases in the extent and level of air pollution in Chinese cities have become a major concern of the public and burden on the government. While ample literature has focused on the status, changes and causes of air pollution (particularly on PM(2.5) and PM(10)), significantly less is known on their effects on people. In this study we used Hangzhou, China, as our testbed to assess the direct impact of PM(2.5) on youth populations that are more vulnerable to pollution. We used the ground monitoring data of air quality and Aerosol optical thickness (AOT) product from the Moderate Resolution Imaging Spectroradiometer (MODIS) for the spatiotemporal changes of PM(2.5) by season in 2015. We further explored these distributions with land cover, population density and schools (kindergarten, primary school and middle school) to explore the potential impacts in seeking potential mitigation solutions. We found that the seasonal variation of PM(2.5) concentration was winter > spring > autumn > summer. In Hangzhou, the percentage of land area exposed to PM(2.5) > 50 µg m(−3) accounted for 59.86% in winter, 56.62% in spring, 40.44% in autumn and 0% in summer, whereas these figures for PM(2.5) of <35 µg m(−3) were 70.01%, 5.28%, 5.17%, 4.16% in summer, winter, autumn and spring, respectively. As for land cover, forest experienced PM(2.5) of 35–50 µg m(−3) (i.e., lower than those of other cover types), likely due to the potential filtering and absorption function of the forests. More importantly, a quantitative index based on population-weighted exposure level (pwel) indicated that only 9.06% of the population lived in areas that met the national air quality standards. Only 1.66% (14,055) of infants and juveniles lived in areas with PM(2.5) of <35 µg m(−3). Considering the legacy effects of PM(2.5) over the long-term, we highly recommend improving the monitoring systems for both air quality and people (i.e., their health conditions), with special attention paid to infants and juveniles. MDPI 2018-10-08 2018-10 /pmc/articles/PMC6211054/ /pubmed/30297620 http://dx.doi.org/10.3390/ijerph15102192 Text en © 2018 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
Tian, Li
Hou, Wei
Chen, Jiquan
Chen, Chaonan
Pan, Xiaojun
Spatiotemporal Changes in PM(2.5) and Their Relationships with Land-Use and People in Hangzhou
title Spatiotemporal Changes in PM(2.5) and Their Relationships with Land-Use and People in Hangzhou
title_full Spatiotemporal Changes in PM(2.5) and Their Relationships with Land-Use and People in Hangzhou
title_fullStr Spatiotemporal Changes in PM(2.5) and Their Relationships with Land-Use and People in Hangzhou
title_full_unstemmed Spatiotemporal Changes in PM(2.5) and Their Relationships with Land-Use and People in Hangzhou
title_short Spatiotemporal Changes in PM(2.5) and Their Relationships with Land-Use and People in Hangzhou
title_sort spatiotemporal changes in pm(2.5) and their relationships with land-use and people in hangzhou
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6211054/
https://www.ncbi.nlm.nih.gov/pubmed/30297620
http://dx.doi.org/10.3390/ijerph15102192
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