4.7 Article

Exploring the association between the built environment and remotely sensed PM2.5 concentrations in urban areas

Journal

JOURNAL OF CLEANER PRODUCTION
Volume 220, Issue -, Pages 1014-1023

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.jclepro.2019.02.236

Keywords

Air quality; Built environment; Remote sensing; Urban planning; China

Funding

  1. National Natural Science Foundation of China [51708234, 51678259, 51708233]

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Haze, especially PM2.5, poses a serious threat to public health in China. PM2.5 primarily originates from urban activities, and built environment may affect its formation and dispersion. Previous studies were based on limited data from ground-monitoring stations, and high resolution pollution maps are unavailable for statistical analyses. In this study, a 1 km*1 km wall-to-wall map of PM2.5 concentration is developed with remote sensing data in Wuhan, China, and spatial statistics are used to figure out the influence of the built environment on PM2.5 concentrations. In terms of land cover, high-rise high-density building areas have the largest impact on PM2.5 concentrations, and the effect of forestland on the concentrations is not obvious in winter. In terms of land use, industrial lands are unrelated to air pollution in the downtown, while transportation has become a main source of PM2.5 pollution. In terms of urban form, floor area ratio and building density are positively associated with PM2.5 concentrations, and different types of road densities have different effects on air pollution. Finally, the implications of the study for urban planning and development are given. It is necessary to develop a polycentric urban structure to balance high population density and reduce traffic emissions in downtown areas. Road and bus networks should be optimized simultaneously to reduce traffic emissions and small blocks and narrow roads may be considered as an alternative for urban development. The spatial morphology of streets and buildings should be considered during urban design and urban renewal. In general, the study contributes to the application of remote sensing in urban planning and development, and remotely sensed PM2.5 concentration data could provide further findings than the air pollution data obtained from ground monitoring and bottom-up models in past studies. (C) 2019 Elsevier Ltd. All rights reserved.

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