A GIS-Based Artificial Neural Network Model for Flood Susceptibility Assessment

This article presents a geographic information system (GIS)-based artificial neural network (GANN) model for flood susceptibility assessment of Keelung City, Taiwan. Various factors, including elevation, slope angle, slope aspect, flow accumulation, flow direction, topographic wetness index (TWI), d...

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Detalles Bibliográficos
Autores principales: Khoirunisa, Nanda, Ku, Cheng-Yu, Liu, Chih-Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7908221/
https://www.ncbi.nlm.nih.gov/pubmed/33530348
http://dx.doi.org/10.3390/ijerph18031072

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7908221/
https://www.ncbi.nlm.nih.gov/pubmed/33530348
http://dx.doi.org/10.3390/ijerph18031072

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