Spatiotemporal estimation of hourly 2-km ground-level ozone over China based on Himawari-8 using a self-adaptive geospatially local model

Spatiotemporal estimation of hourly 2-km ground-level ozone over China based on Himawari-8 using a self-adaptive geospatially local model

Ground-level ozone (O3) is a primary air pollutant, which can greatly harm human health and ecosystems. At present, data fusion frameworks only provided ground-level O3 concentrations at coarse spatial (e.g., 10 km) or temporal (e.g., daily) resolutions. As photochemical pollution continues increasi...

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Bibliographic Details
Main Authors: Yuan Wang, Qiangqiang Yuan, Liye Zhu, Liangpei Zhang
Format: Article
Language:English
Published: Elsevier 2022-01-01
Series:Geoscience Frontiers
Subjects:
Spatiotemporal estimation
Air pollution
Ground-level O3
SGLboost
China
Online Access:http://www.sciencedirect.com/science/article/pii/S167498712100150X

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http://www.sciencedirect.com/science/article/pii/S167498712100150X

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