A novel multi-strategy hydrological feature extraction (MHFE) method to improve urban waterlogging risk prediction, a case study of Fuzhou City in China.

Huang, Haocheng; Lei, Xiaohui; Liao, Weihong; Zuo, Xiangyang; Wang, Hao

Huang, Haocheng; Lei, Xiaohui; Liao, Weihong; Zuo, Xiangyang; Wang, Hao.

Afiliación

Huang H; School of Civil Engineering, Central South University, China; State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, China.
Lei X; State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, China.
Liao W; State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, China. Electronic address: liaowh@iwhr.com.
Zuo X; State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, China.
Wang H; State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, China.

Sci Total Environ ; 904: 165834, 2023 Dec 15.

Article en En | MEDLINE | ID: mdl-37516183

Palabras clave

DEM; Data fusion; Hydrological model; LULC; Urban waterlogging

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Sci Total Environ Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Países Bajos

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