Good environmental governance: Predicting PM2.5 by using Spatiotemporal Matrix Factorization generative adversarial network

Good environmental governance: Predicting PM2.5 by using Spatiotemporal Matrix Factorization generative adversarial network

In the context of low-carbon globalization, green development has become the common pursuit of all countries and the theme of China’s development in the new era. Fine particulate matter (PM2.5) is one of the main challenges affecting air quality, and how to accurately predict PM2.5 plays a pivotal r...

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Bibliographic Details
Main Authors: An Zhang, Sheng Chen, Fen Zhao, Xiao Dai
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-09-01
Series:Frontiers in Environmental Science
Subjects:
PM2.5
generative adversarial networks
matrix factorization
spatiotemporal prediction
environmental governance
Online Access:https://www.frontiersin.org/articles/10.3389/fenvs.2022.981268/full

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