Multi-dimensional assessment of flood susceptibility drivers in the urban watershed of Guwahati

Floods are a critical natural disaster causing widespread global devastation, exacerbated by the interaction of natural hydrological phenomena and human activities, particularly in rapidly urbanizing areas like Guwahati, India. The present study systematically examines the influence of sixteen envir...

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Vydáno v:	Acta geophysica Ročník 73; číslo 6; s. 5815 - 5837
Hlavní autoři:	Ahmed, Ishita Afreen, Talukdar, Swapan, Naikoo, Mohd Waseem, Shahfahad, Rahman, Atiqur
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Cham Springer International Publishing 01.12.2025 Springer Nature B.V
Témata:	Accuracy Agricultural land Algorithms Artificial intelligence Artificial neural networks Climate adaptation Deep learning Disaster management Drainage Earth and Environmental Science Earth Sciences Emergency preparedness Environmental risk Explainable artificial intelligence Feature selection Flood risk Flooding Floods Genetic algorithms Geophysics/Geodesy Geotechnical Engineering & Applied Earth Sciences Hydrology Infrastructure Land cover Land use Machine learning Natural disasters Neural networks Parameters Population density Proximity Rainfall Research Article - Hydrology and Hydraulics Resilience Sensitivity analysis Spatial analysis Statistical analysis Storm damage Structural Geology Support vector machines Urban areas Urban climates Urban planning Urban watersheds Watersheds Wetness index Zoning ordinances India Flood susceptibility modeling Machine learning algorithms Guwahati urban watershed Urban flood resilience Feature selection methods Human and natural impacts
ISSN:	1895-7455, 1895-6572, 1895-7455
On-line přístup:	Získat plný text
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