Spatial Equity of PM2.5 Pollution Exposures in High-Density Metropolitan Areas Based on Remote Sensing, LBS and GIS Data

A Case Study in Wuhan, China

Bibliographic Data

ID17801006
AuthorsZhuoran Shan (Ministry of Natural Resources), Hongfei Li (0000-0001-5359-2853, Guangzhou Urban Planning Survey & Design Institute), Haolan Pan (Wuhan Engineering Science & Technology Institute, corresponding author), Man Yuan (0000-0002-8882-173X, Wuhan Engineering Science & Technology Institute, corresponding author), Xu Shen (0000-0002-5943-8627, Wuhan Engineering Science & Technology Institute), Shen Xu (0000-0002-0520-9511, Huazhong University of Science and Technology)
Year2022
Volume19
Issue19
Pages12671-12671
Publication date2022-10-03
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph191912671
PMID36231971
OpenAlexW4303696700
LanguageEN
Citations received3
References cited29

In-depth studies have been conducted on the risk of exposure to air pollution in urban residents, but most of them are static studies based on the population of residential units. Ignoring the real environmental dynamics during daily activity and mobility of individual residents makes it difficult to accurately estimate the level of air pollution exposure among residents and determine populations at higher risk of exposure. This paper uses the example of the Wuhan metropolitan area, high-precision air pollution, and population spatio-temporal dynamic distribution data, and applies geographically weighted regression models, bivariate LISA analysis, and Gini coefficients. The risk of air pollution exposure in elderly, low-age, and working-age communities in Wuhan was measured and the health equity within vulnerable groups such as the elderly and children was studied. We found that ignoring the spatio-temporal behavioral activities of residents underestimated the actual exposure hazard of PM 2.5 to residents. The risk of air pollution exposure was higher for the elderly than for other age groups. Within the aging group, a few elderly people had a higher risk of pollution exposure. The high exposure risk communities of the elderly were mainly located in the central and sub-center areas of the city, with a continuous distribution characteristic. No significant difference was found in the exposure risk of children compared to the other populations, but a few children were particularly exposed to pollution. Children's high-exposure communities were mainly located in suburban areas, with a discrete distribution. Compared with the traditional static PM 2.5 exposure assessment, the dynamic assessment method proposed in this paper considers the high mobility of the urban population and air pollution. Thus, it can accurately reveal the actual risk of air pollution and identify areas and populations at high risk of air pollution, which in turn provides a scientific basis for proposing planning policies to reduce urban PM 2.5 and improve urban spatial equity

China · Environmental health · Geocoding · Geographic information system · Geography · Metropolitan area · Remote sensing · Spatial analysis · Air Quality and Health Impacts · Air Quality Monitoring and Forecasting · Environmental Science · Impact of Light on Environment and Health · Medicine

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