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Rapid prediction for the transient dispersion of leaked airborne pollutant in urban environment based on graph neural networks

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Year: 2024
Type: article
Source: Journal of Hazardous Materials
DOI: 10.1016/j.jhazmat.2024.135517
Authors: Xuqiang Shao, Siqi Zhang, Xiaofan Liu, Zhijian Liu, Jiancai Huang
Institution: North China Electric Power University
Language: English

Topic: Wind and Air Flow Studies
Subfield: Environmental Engineering
Field: Environmental Science
Domain: Physical Sciences
SDG: Sustainable cities and communities

Open Access status: closed

Funders: Ministry of Science and Technology, Ministry of Education of the People's Republic of China, Ministry of Science and Technology of the People's Republic of China, Natural Science Foundation of Hebei Province, National University's Basic Research Foundation of China, National Outstanding Youth Science Fund Project of National Natural Science Foundation of China, National Key Research and Development Program of China, Fundamental Research Funds for the Central Universities
Awards: G4269527932, G4907643924, G6707373527, G6713590365, G7397163208, G7406321402
OpenAlex ID: W4401528422
FWCI: 3.517
Cites: 53
Cited by: 30
Related to: 10
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