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Modeling the impacts of 2D/3D urban structure on PM2.5 at high resolution by combining UAV multispectral/LiDAR measurements and multi-source remote sensing images by Rongfang Lyu; Jinming Zhang; Jili Pang; Jianming Zhang is a Environmental Science article available to read on EtoBox.

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Understanding the impacts of 2D/3D urban structure on PM 2.5 is critical for protecting resident health and sustainable development. However, accurate understanding is limited by the lack of high-resolution PM 2.5 simulation in cities with sparse monitoring stations and the simultaneously consideration of different landscape types both in 2D and 3D directions. Using Yinchuan City as a case study, an integrated simulation model combining satellite AOD, NDVI and meteorological data was developed using random forest (RF) algorithm to simulate city-scale PM 2.5 variation at 30 m resolution. Then, the most critical 2D/3D urban metrics in altering PM 2.5 and their impacts were explored through RF analysis. Finally, optimal urban structure was identified using Bayesian Network and multi-scenario analysis. The results indicated that 1) the established RF model could effectively simulate within-city variation of PM 2.5 at 30 m with an R 2 of 0.75. Thus, it is feasible to use the abundant temporal information and high-resolution AOD to map city-scale PM 2.5 and overcome the limitation of spare monitoring stations. 2) The emission-related metric of distance to polluting enterprise and city ce

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Author

Rongfang Lyu; Jinming Zhang; Jili Pang; Jianming Zhang

Publisher

Elsevier BV

Published

2024

Language

EN

Field

Environmental Science (Physical Sciences)