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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Autori principali:	Yuyao He, Jicheng Jang, Yun Zhu, Pen-Chi Chiang, Jia Xing, Shuxiao Wang, Bin Zhao, Shicheng Long, Yingzhi Yuan
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Springer 2024-06-01
Serie:	Aerosol and Air Quality Research
Soggetti:	Particulate matter Construction fugitive dust UAV image WRF-CMAQ model Deep learning
Accesso online:	https://doi.org/10.4209/aaqr.240112
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