Machine learning-guided integration of fixed and mobile sensors for high resolution urban PM2.5 mapping

Machine learning-guided integration of fixed and mobile sensors for high resolution urban PM2.5 mapping

Abstract Urban areas exhibit significant gradients in Fine Particulate Matter (PM2.5) concentration variability. Understanding the spatiotemporal distribution and formation mechanisms of PM2.5 is crucial for public health, environmental justice, and air pollution mitigation strategies. Here, we util...

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Main Authors: Tianshuai Li, Xin Huang, Qingzhu Zhang, Xinfeng Wang, Xianfeng Wang, Anbao Zhu, Zhaolin Wei, Xinyan Wang, Haolin Wang, Jiaqi Chen, Min Li, Qiao Wang, Wenxing Wang
Format: Article
Language:English
Published: Nature Portfolio 2025-03-01
Series:npj Climate and Atmospheric Science
Online Access:https://doi.org/10.1038/s41612-025-00984-3
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https://doi.org/10.1038/s41612-025-00984-3

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