Improving Fugitive Dust Emission Inventory from Construction Sector Using UAV Images Recognition

Improving Fugitive Dust Emission Inventory from Construction Sector Using UAV Images Recognition

Abstract Over rapidly developing and urbanizing countries, frequent construction activities are the primary drivers behind the substantial emissions and contributors of fugitive dust. In this study, an innovative method was developed to compile a high-resolution spatiotemporal emission inventory fro...

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Bibliographic Details
Main Authors: Yuyao He, Jicheng Jang, Yun Zhu, Pen-Chi Chiang, Jia Xing, Shuxiao Wang, Bin Zhao, Shicheng Long, Yingzhi Yuan
Format: Article
Language:English
Published: Springer 2024-06-01
Series:Aerosol and Air Quality Research
Subjects:
Particulate matter
Construction fugitive dust
UAV image
WRF-CMAQ model
Deep learning
Online Access:https://doi.org/10.4209/aaqr.240112
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https://doi.org/10.4209/aaqr.240112

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