Literature DB >> 17079002

Potential health benefit of reducing household solid fuel use in Shanxi province, China.

Heidi Elizabeth Staff Mestl1, Kristin Aunan, Hans Martin Seip.   

Abstract

Indoor air pollution from solid fuel use has severe health effects. 60% of the Chinese population lives in rural areas, where most people rely on solid fuels for cooking and heating. We estimate exposure by combining information on the amount of time spent in different microenvironments and estimates of the particle concentrations (PM(10)) in these environments. According to our estimates, 70% of the exposure experienced by the rural population is due to indoor air pollution (IAP). The urban coal using population experience a 17% increase in exposure from IAP. We apply Monte Carlo simulations to quantify variability and uncertainty in the exposure, morbidity and mortality estimates. We find that applying Monte Carlo simulations reduces the estimated uncertainty compared to analytical methods based on approximate distributions and the central limit theorem. We find that annually about 4% (geometric S.D. sigma(g), 3.2) and 35% (sigma(g), 2.6) of the deaths in the urban and rural populations, respectively, could be avoided by switching to clean fuels. Upgrading the stoves in rural areas to the standard found in urban areas is estimated to reduce mortality by 23% (sigma(g), 3.1). Moreover, we estimate that chronic respiratory illness (CRI) in children can be reduced by, respectively, about 9% (sigma(g), 2.5) and 80% (sigma(g) 1.9) by switching to clean fuels in the urban and rural areas. Upgrading the stoves in rural areas is estimated to reduce CRI in children with about 58% (sigma(g) 2.3). For adults the reduction in CRI was estimated to be 6% (sigma(g) 2.4) and 45% (sigma(g) 1.8) for the urban and rural population following a fuel switch, and 31% (sigma(g) 2.4) for the rural population from stove improvements. Contrary to our expectations we find small gender differences in exposure. We ascribe that to comparable kitchen and living area concentrations and similar indoor occupation times for the genders. Young children and the elderly spend the most time indoors, and have the highest daily exposure in the coal using population. The rural population experience higher exposure than the urban population, even though the outdoor air is significantly cleaner in rural areas.

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Year:  2006        PMID: 17079002     DOI: 10.1016/j.scitotenv.2006.09.007

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  5 in total

1.  PM2.5 pollution from household solid fuel burning practices in Central India: 2. Application of receptor models for source apportionment.

Authors:  Jeevan Lal Matawle; Shamsh Pervez; Manas Kanti Deb; Anjali Shrivastava; Suresh Tiwari
Journal:  Environ Geochem Health       Date:  2016-11-02       Impact factor: 4.609

2.  The effects of indoor and outdoor air pollution on the prevalence of adults' respiratory diseases in four Chinese cities: a comparison between 2017-2018 and 1993-1996.

Authors:  Meilin Yan; Jicheng Gong; Qin Liu; Wenyan Li; Xiaoli Duan; Suzhen Cao; Sai Li; Lingyan He; Zixuan Yin; Weiwei Lin; Junfeng Jim Zhang
Journal:  J Thorac Dis       Date:  2021-07       Impact factor: 2.895

3.  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

Review 4.  Household air pollution from coal and biomass fuels in China: measurements, health impacts, and interventions.

Authors:  Junfeng Jim Zhang; Kirk R Smith
Journal:  Environ Health Perspect       Date:  2007-02-27       Impact factor: 9.031

5.  A comparison of particulate matter from biomass-burning rural and non-biomass-burning urban households in northeastern China.

Authors:  Ruoting Jiang; Michelle L Bell
Journal:  Environ Health Perspect       Date:  2008-07       Impact factor: 9.031

  5 in total

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