Literature DB >> 17868962

Assessment of population exposure to particulate matter pollution in Chongqing, China.

Shuxiao Wang1, Yu Zhao, Gangcai Chen, Fei Wang, Kristin Aunan, Jiming Hao.   

Abstract

To determine the population exposure to PM(10) in Chongqing, China, we developed an indirect model by combining information on the time activity patterns of various demographic subgroups with estimates of the PM(10) concentrations in different microenvironments (MEs). The spatial and temporal variations of the exposure to PM(10) were illustrated in a geographical information system (GIS). The population weighted exposure (PWE) for the entire population was 229, 155 and 211 microg/m(3), respectively, in winter, summer and as the annual average. Indoor PM(10) level at home was the largest contributor to the PWE, especially for the rural areas where high pollution levels were found due to solid fuels burning. Elder people had higher PM(10) exposure than adults and youth, due to more time spent in indoor MEs. The highest health risk due to particulate was found in the city zone and northeast regions, suggesting that pollution abatement should be prioritized in these areas.

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Year:  2007        PMID: 17868962     DOI: 10.1016/j.envpol.2007.07.030

Source DB:  PubMed          Journal:  Environ Pollut        ISSN: 0269-7491            Impact factor:   8.071


  9 in total

Review 1.  A review of the distribution of particulate trace elements in urban terrestrial environments and its application to considerations of risk.

Authors:  S Charlesworth; E De Miguel; A Ordóñez
Journal:  Environ Geochem Health       Date:  2010-06-13       Impact factor: 4.609

2.  Exposure assessment, chemical characterization and source identification of PM2.5 for school children and industrial downwind residents in Guangzhou, China.

Authors:  Jia Wang; Senchao Lai; Zhaoyue Ke; Yingyi Zhang; Shasha Yin; Junyu Zheng
Journal:  Environ Geochem Health       Date:  2013-08-11       Impact factor: 4.609

3.  Association between fine particulate matter and diabetes prevalence in the U.S.

Authors:  John F Pearson; Chethan Bachireddy; Sangameswaran Shyamprasad; Allison B Goldfine; John S Brownstein
Journal:  Diabetes Care       Date:  2010-07-13       Impact factor: 19.112

4.  Household concentrations and personal exposure of PM2.5 among urban residents using different cooking fuels.

Authors:  Tianxin Li; Suzhen Cao; Delong Fan; Yaqun Zhang; Beibei Wang; Xiuge Zhao; Brian P Leaderer; Guofeng Shen; Yawei Zhang; Xiaoli Duan
Journal:  Sci Total Environ       Date:  2016-01-19       Impact factor: 7.963

5.  Ambient air pollution exaggerates adipose inflammation and insulin resistance in a mouse model of diet-induced obesity.

Authors:  Qinghua Sun; Peibin Yue; Jeffrey A Deiuliis; Carey N Lumeng; Thomas Kampfrath; Michael B Mikolaj; Ying Cai; Michael C Ostrowski; Bo Lu; Sampath Parthasarathy; Robert D Brook; Susan D Moffatt-Bruce; Lung Chi Chen; Sanjay Rajagopalan
Journal:  Circulation       Date:  2009-01-19       Impact factor: 29.690

6.  THE INDOOR-OUTDOOR AIR-POLLUTION CONTINUUM AND THE BURDEN OF CARDIOVASCULAR DISEASE: AN OPPORTUNITY FOR IMPROVING GLOBAL HEALTH.

Authors:  Sanjay Rajagopalan; Robert D Brook
Journal:  Glob Heart       Date:  2012-09

7.  Effects of Population Weighting on PM10 Concentration Estimation.

Authors:  Ameerah Su'ad Abdul Shakor; Muhammad Alfatih Pahrol; Mohamad Iqbal Mazeli
Journal:  J Environ Public Health       Date:  2020-04-13

8.  Reducing health risks from indoor exposures in rapidly developing urban China.

Authors:  Yinping Zhang; Jinhan Mo; Charles J Weschler
Journal:  Environ Health Perspect       Date:  2013-05-10       Impact factor: 9.031

9.  Assessment of Population Exposure to Coarse and Fine Particulate Matter in the Urban Areas of Chennai, India.

Authors:  Ramachandran Prasannavenkatesh; Ramachandran Andimuthu; Palanivelu Kandasamy; Geetha Rajadurai; Divya Subash Kumar; Parthasarathy Radhapriya; Malini Ponnusamy
Journal:  ScientificWorldJournal       Date:  2015-07-14
  9 in total

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