Literature DB >> 30343231

Fluctuation in time-resolved PM2.5 from rural households with solid fuel-associated internal emission sources.

Meng Qi1, Wei Du1, Xi Zhu1, Wei Wang1, Cengxi Lu1, Yuanchen Chen2, Guofeng Shen3, Hefa Cheng1, Eddy Y Zeng4, Shu Tao5.   

Abstract

Indoor air contributes significantly to overall exposure, particularly for rural Chinese who often use solid fuels for cooking and/or heating. Unfortunately, overlooked rural indoor air leads to a critical knowledge gap. Simultaneous measurements in the kitchen, living room, and immediately outside of houses using six-channel particle counters were carried out in 18 biomass-burning rural and 3 non-biomass-burning urban households (as a comparison) in winter to characterize dynamic change patterns indoor air pollution and indoor-outdoor relationship. The rural households mainly used wood or crop residues for cooking and heating, while the urban households used pipelined natural gas for cooking and air conditioners for heating. In rural households with significant solid-fuel burning internal sources, the highest concentration was found in the kitchen (101 ± 56 μg/m3), with comparable levels in the living room (99 ± 46 μg/m3) and low levels in outdoor air (91 ± 39 μg/m3). A generally opposite direction of indoor-outdoor exchange was found between the rural and urban households. PM in kitchen air is smaller than that in living rooms and outdoors because solid fuel burning (mainly in rural households) and cooking oil heating (in rural and urban households). Indoor and outdoor PM concentration changed synchronously, with a slight delay in indoor air in urban households but a slight delay in outdoor air in rural households. Cooking, heating, and smoking elevated indoor PM significantly, but different from the cooking activity that produced peaks lasting for about 30 min, emissions from heating created a series of peaks due to frequent disturbance and fuel-feeding and had more significant impacts on the daily average concentration. Distinct indoor-outdoor relationships and dynamic change patterns between the two household categories w/o strong internal biomass burning sources imply that totally different model schemes are needed to quantitatively address indoor air pollution and inhalation exposure.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Dynamic change; Indoor air pollution; Influencing factors; Internal emission source; PM(2.5)

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Year:  2018        PMID: 30343231     DOI: 10.1016/j.envpol.2018.10.041

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


  2 in total

Review 1.  The Chinese Spring Festival Impact on Air Quality in China: A Critical Review.

Authors:  Guixian Wu; Wenling Tian; Li Zhang; Haiyan Yang
Journal:  Int J Environ Res Public Health       Date:  2022-07-26       Impact factor: 4.614

2.  Vertically-resolved indoor measurements of air pollution during Chinese cooking.

Authors:  Shuxiu Zheng; Huizhong Shen; Guofeng Shen; Yilin Chen; Jianmin Ma; Hefa Cheng; Shu Tao
Journal:  Environ Sci Ecotechnol       Date:  2022-06-30
  2 in total

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