China's rapid urbanization and industrialization process has triggered serious air pollution. As a main air pollutant, PM is affected not only by meteorological conditions, but also by land use in urban area. The impacts of urban landscape on PM become more complicated from a three-dimensional (3D) and land function zone point of view. Taking the urban area of Nanchang city, China, as a case and, on the basis of the identification of urban land function zones, this study firstly constructed a three-dimensional landscape index system to express the characteristics of 3D landscape pattern. Then, the land-use regression (LUR) model was applied to simulate PM distribution with high precision, and a geographically weighted regression model was established. The results are as follows: (1) the constructed 3D landscape indices could reflect the 3D characteristics of urban landscape, and the overall 3D landscape indices of different urban land function zones were significantly different; (2) the effects of 3D landscape spatial pattern on PM varied significantly with land function zone type; (3) the effects of 3D characteristics of landscapes on PM in different land function zones are expressed in different ways and exhibit a significant spatial heterogeneity. This study provides a new idea for reducing air pollution by optimizing the urban landscape pattern.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9517176PMC
http://dx.doi.org/10.3390/ijerph191811696DOI Listing

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