A novel approach to flood risk assessment: Synergizing with geospatial based MCDM-AHP model, multicollinearity, and sensitivity analysis in the Lower Brahmaputra Floodplain, Assam

Author:

Dutta Pranab,Deka Sujit

Funder

Gauhati University

Publisher

Elsevier BV

Reference119 articles.

1. Flood susceptibility mapping and assessment using a novel deep learning model combining multilayer perceptron and autoencoder neural networks;Ahmadlou;J. Flood Risk Manag.,2021

2. Flood susceptibility modeling in the urban watershed of Guwahati using improved metaheuristic-based ensemble machine learning algorithms;Ahmed;Geocarto Int.,2022

3. GIS-based comparative assessment of flood susceptibility mapping using hybrid multi-criteria decision-making approach, naïve Bayes tree, bivariate statistics and logistic regression: a case of Topľa basin, Slovakia;Ali;Ecol. Indicat.,2020

4. Morphometric analysis to infer hydrological behaviour of lidder watershed, Western Himalaya, India;Altaf;Geogr. J.,2013

5. Flash flooding hazard assessment, modeling, and management in the coastal zone of Ras Ghareb City, Gulf of Suez, Egypt;Arnous,2022

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