Cargando…
Particulate Matter Pollution and Population Exposure Assessment over Mainland China in 2010 with Remote Sensing
The public is increasingly concerned about particulate matter pollution caused by respirable suspended particles (PM(10)) and fine particles (PM(2.5)). In this paper, PM(10) and PM(2.5) concentration are estimated with remote sensing and individual air quality indexes of PM(10) and PM(2.5) (IPM(10)...
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4053876/ https://www.ncbi.nlm.nih.gov/pubmed/24830453 http://dx.doi.org/10.3390/ijerph110505241 |
_version_ | 1782320457918185472 |
---|---|
author | Yao, Ling Lu, Ning |
author_facet | Yao, Ling Lu, Ning |
author_sort | Yao, Ling |
collection | PubMed |
description | The public is increasingly concerned about particulate matter pollution caused by respirable suspended particles (PM(10)) and fine particles (PM(2.5)). In this paper, PM(10) and PM(2.5) concentration are estimated with remote sensing and individual air quality indexes of PM(10) and PM(2.5) (IPM(10) and IPM(2.5)) over mainland China in 2010 are calculated. We find that China suffered more serious PM(2.5) than PM(10) pollution in 2010, and they presented a spatial differentiation. Consequently, a particulate-based air quality index (PAQI) based on a weighting method is proposed to provide a more objective assessment of the particulate pollution. The study demonstrates that, in 2010, most of mainland China faced a lightly polluted situation in PAQI case; there were three areas obviously under moderate pollution (Hubei, Sichuan-Chongqing border region and Ningxia-Inner Mongolia border region). Simultaneously, two indicators are calculated with the combination of population density gridded data to reveal Chinese population exposure to PM(2.5). Comparing per capita PM(2.5) concentration with population-weighted PM(2.5) concentration, the former shows that the high-level regions are distributed in Guangdong, Shanghai, and Tianjin, while the latter are in Hebei, Chongqing, and Shandong. By comparison, the results demonstrate that population-weighted PM(2.5) concentration is more in line with the actual situation. |
format | Online Article Text |
id | pubmed-4053876 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-40538762014-06-12 Particulate Matter Pollution and Population Exposure Assessment over Mainland China in 2010 with Remote Sensing Yao, Ling Lu, Ning Int J Environ Res Public Health Article The public is increasingly concerned about particulate matter pollution caused by respirable suspended particles (PM(10)) and fine particles (PM(2.5)). In this paper, PM(10) and PM(2.5) concentration are estimated with remote sensing and individual air quality indexes of PM(10) and PM(2.5) (IPM(10) and IPM(2.5)) over mainland China in 2010 are calculated. We find that China suffered more serious PM(2.5) than PM(10) pollution in 2010, and they presented a spatial differentiation. Consequently, a particulate-based air quality index (PAQI) based on a weighting method is proposed to provide a more objective assessment of the particulate pollution. The study demonstrates that, in 2010, most of mainland China faced a lightly polluted situation in PAQI case; there were three areas obviously under moderate pollution (Hubei, Sichuan-Chongqing border region and Ningxia-Inner Mongolia border region). Simultaneously, two indicators are calculated with the combination of population density gridded data to reveal Chinese population exposure to PM(2.5). Comparing per capita PM(2.5) concentration with population-weighted PM(2.5) concentration, the former shows that the high-level regions are distributed in Guangdong, Shanghai, and Tianjin, while the latter are in Hebei, Chongqing, and Shandong. By comparison, the results demonstrate that population-weighted PM(2.5) concentration is more in line with the actual situation. MDPI 2014-05-14 2014-05 /pmc/articles/PMC4053876/ /pubmed/24830453 http://dx.doi.org/10.3390/ijerph110505241 Text en © 2014 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 license (http://creativecommons.org/licenses/by/3.0/). |
spellingShingle | Article Yao, Ling Lu, Ning Particulate Matter Pollution and Population Exposure Assessment over Mainland China in 2010 with Remote Sensing |
title | Particulate Matter Pollution and Population Exposure Assessment over Mainland China in 2010 with Remote Sensing |
title_full | Particulate Matter Pollution and Population Exposure Assessment over Mainland China in 2010 with Remote Sensing |
title_fullStr | Particulate Matter Pollution and Population Exposure Assessment over Mainland China in 2010 with Remote Sensing |
title_full_unstemmed | Particulate Matter Pollution and Population Exposure Assessment over Mainland China in 2010 with Remote Sensing |
title_short | Particulate Matter Pollution and Population Exposure Assessment over Mainland China in 2010 with Remote Sensing |
title_sort | particulate matter pollution and population exposure assessment over mainland china in 2010 with remote sensing |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4053876/ https://www.ncbi.nlm.nih.gov/pubmed/24830453 http://dx.doi.org/10.3390/ijerph110505241 |
work_keys_str_mv | AT yaoling particulatematterpollutionandpopulationexposureassessmentovermainlandchinain2010withremotesensing AT luning particulatematterpollutionandpopulationexposureassessmentovermainlandchinain2010withremotesensing |