Estimation of ground-level O3 concentration in the Yangtze River Delta region based on a high-performance spatiotemporal model MixNet-Reference-Cited by-同舟云学术

Estimation of ground-level O3 concentration in the Yangtze River Delta region based on a high-performance spatiotemporal model MixNet

Published:2023-10 Issue: Volume:896 Page:165061
ISSN:0048-9697
Container-title:Science of The Total Environment
language:en
Short-container-title:Science of The Total Environment

Author:

Zeng Qiaolin,Wang Yechen,Tao Jinhua,Fan Meng,Zhu Songyan,Chen Liangfu,Wang Lihui,Li Yeming

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Pollution,Waste Management and Disposal,Environmental Chemistry,Environmental Engineering

Reference62 articles.

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4. Ground-level ozone estimation based on geo-intelligent machine learning by fusing in-situ observations, remote sensing data, and model simulation data;Chen;Int. J. Appl. Earth Obs. Geoinf.,2022

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