Deep learning for prediction of the air quality response to emission changes

Efficient prediction of the air quality response to emission changes is a prerequisite for an integrated assessment system in developing effective control policies. Yet representing the nonlinear response of air quality to emissions controls with accuracy remains a major barrier in air quality-relat...

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Bibliografiska uppgifter
I publikationen:Environ Sci Technol
Huvudupphovsmän: Xing, Jia, Zheng, Shuxin, Ding, Dian, Kelly, James T., Wang, Shuxiao, Li, Siwei, Qin, Tao, Ma, Mingyuan, Dong, Zhaoxin, Jang, Carey, Zhu, Yun, Zheng, Haotian, Ren, Lu, Liu, Tie-Yan, Hao, Jiming
Materialtyp: Artigo
Språk:Inglês
Publicerad: 2020
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Article
Länkar:https://ncbi.nlm.nih.gov/pmc/articles/PMC7375937/
https://ncbi.nlm.nih.gov/pubmed/32551547
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1021/acs.est.0c02923
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