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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Библиографические подробности

Главные авторы:	Yuyao He, Jicheng Jang, Yun Zhu, Pen-Chi Chiang, Jia Xing, Shuxiao Wang, Bin Zhao, Shicheng Long, Yingzhi Yuan
Формат:	Artigo
Язык:	Inglês
Опубликовано:	Springer 2024-06-01
Серии:	Aerosol and Air Quality Research
Предметы:	Particulate matter Construction fugitive dust UAV image WRF-CMAQ model Deep learning
Online-ссылка:	https://doi.org/10.4209/aaqr.240112
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