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Multi-Source Data Fusion and Hydrodynamics for Urban Waterlogging Risk Identification
The complex formation mechanism and numerous influencing factors of urban waterlogging disasters make the identification of their risk an essential matter. This paper proposes a framework for identifying urban waterlogging risk that combines multi-source data fusion with hydrodynamics (MDF-H). The f...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9915001/ https://www.ncbi.nlm.nih.gov/pubmed/36767894 http://dx.doi.org/10.3390/ijerph20032528 |