Work

Improvement of PM2.5 and O3 forecasting by integration of 3D numerical simulation with deep learning techniques

Year: 2021

Type: article

Source: Sustainable Cities and Society

DOI: 10.1016/j.scs.2021.103372

Authors: Haochen Sun, Jimmy C.H. Fung, Yiang Chen, Wanying Chen, Zhenning Li, Yeqi Huang, Changqing Lin, Mingyun Hu, Xingcheng Lu

Institution: Hong Kong University of Science and Technology

Language: English

Topic: Air Quality Monitoring and Forecasting

Subfield: Environmental Engineering

Field: Environmental Science

Domain: Physical Sciences

SDGs: Climate action, Sustainable cities and communities

Open Access status: closed

Funders: Scientific and Technological Planning Project of Guangzhou City, National Natural Science Foundation of China, Ministry of Science and Technology of the People's Republic of China, Environment and Conservation Fund, National Key Research and Development Program of China

Awards: G1080047157, G2680202083, G4610212638, G8934038216

OpenAlex ID: W3199638341

FWCI: 1.999

Cites: 60

Cited by: 40

Related to: 10