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Jinli Zheng

Dados Biográficos

ID9960170
NOMEJinli Zheng
PRENOMESJinli
SOBRENOMEZheng
ASSINATURAZHENG J
AFILIAÇÕESBeijing Normal University
VERIFICADONão
TOTAL DE OBRAS1
TOTAL DE CITAÇÕES0
OBRAS COMO AUTOR1
OBRAS COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2025
ANO MAIS RECENTE DE PUBLICAÇÃO2025
ÍNDICE H0
  • A novel framework for multi-hazard loss assessment of tropical cyclones

    Open Access•Jinli Zheng, Weihua Fang et al.•ARTICLE•International Journal of Disaster…•2025

    Reliable loss assessment of tropical cyclones (TCs) is essential to effective disaster emergency response. Currently, most existing methods do not consider the joint effects of multiple hazards of TCs, which may decrease loss estimation accuracy. To address this issue, a novel assessment framework is proposed that incorporates the effects of wind, rainfall, storm surge, wave, and flood, brought by TC, to improve disaster loss modeling. First, the…

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  • A novel framework for multi-hazard loss assessment of tropical cyclones

    Open Access•Jinli Zheng, Weihua Fang et al.•ARTICLE•International Journal of Disaster…•2025

    Reliable loss assessment of tropical cyclones (TCs) is essential to effective disaster emergency response. Currently, most existing methods do not consider the joint effects of multiple hazards of TCs, which may decrease loss estimation accuracy. To address this issue, a novel assessment framework is proposed that incorporates the effects of wind, rainfall, storm surge, wave, and flood, brought by TC, to improve disaster loss modeling. First, the…

Artificial Intelligence (1 obra) · Computer Science (1 obra) · Engineering (1 obra) · Environmental Science (1 obra) · Flood Risk Assessment and Management (1 obra) · Forensic engineering (1 obra) · Geography (1 obra) · Hazard (1 obra) · Hazard analysis (1 obra) · Hydrological Forecasting Using AI (1 obra)

Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae