학술논문
Probing the capacity of a spatiotemporal deep learning model for short-term PM2.5 forecasts in a coastal urban area
Document Type
Article
Author
Liao, Qi ; Zhu, Mingming ; Wu, Lin ; Wang, Dawei ; Wang, Zixi ; Zhang, Si ; Cao, Wudi ; Pan, Xiaole ; Li, Jie ; Tang, Xiao ; Xin, Jinyuan ; Sun, Yele ; Zhu, Jiang ; Wang, Zifa
Source
In Science of the Total Environment 10 November 2024 950
Subject
Language
ISSN
0048-9697
Abstract
@@@@Highlights •Comparing a deep network to chemistry transport models for 24-hour urban PM2.5 forecast•Investigating the potential and limitations of deep network representation for urban PM2.5 pollution•Physically consistent deep network representation under various meteorological conditions•Hybrid modeling combining deep networks and chemistry transport models could be expected.