A comparative assessment of flood susceptibility modelling of GIS-based TOPSIS, VIKOR, and EDAS techniques in the Sub-Himalayan foothills region of Eastern India
Abstract In the Sub-Himalayan foothills region of eastern India, floods are considered the
most powerful annually occurring natural disaster, which cause severe losses to the socio …
most powerful annually occurring natural disaster, which cause severe losses to the socio …
GIS-based data-driven bivariate statistical models for landslide susceptibility prediction in Upper Tista Basin, India
Predicting landslides is becoming a crucial global challenge for sustainable development in
mountainous areas. This research compares the landslide susceptibility maps (LSMs) …
mountainous areas. This research compares the landslide susceptibility maps (LSMs) …
GIS-based flood risk assessment using multi-criteria decision analysis of Shebelle River Basin in southern Somalia
SA Osman, J Das - SN Applied Sciences, 2023 - Springer
Floods are the most common and expensive natural calamity, affecting every country.
Flooding in the Shebelle River Basin (SRB) in southern Somalia has posed a significant …
Flooding in the Shebelle River Basin (SRB) in southern Somalia has posed a significant …
A novel approach to flood risk assessment: Synergizing with geospatial based MCDM-AHP model, multicollinearity, and sensitivity analysis in the Lower Brahmaputra …
Floods persist as a recurring and daunting peril in the Brahmaputra plain of Assam.
Notwithstanding advancement, Bongaigaon is a highly flood-afflicted district in the lower part …
Notwithstanding advancement, Bongaigaon is a highly flood-afflicted district in the lower part …
Flood susceptibility assessment of the Agartala Urban Watershed, India, using machine learning algorithm
Frequent floods are a severe threat to the well-being of people the world over. This is
particularly severe in developing countries like India where tropical monsoon climate …
particularly severe in developing countries like India where tropical monsoon climate …
Exploring a GIS-based analytic hierarchy process for spatial flood risk assessment in Egypt: a case study of the Damietta branch
Floods are the most common and costly disasters worldwide, while spatial flood risk
assessment is still challenging due to fewer observations and method limitations. In this …
assessment is still challenging due to fewer observations and method limitations. In this …
Evaluation of bivariate statistical and hybrid models for the preparation of flood hazard susceptibility maps in the Brahmani River Basin, India
AK Anand, SP Pradhan - Environmental Earth Sciences, 2023 - Springer
Floods are one of the natural disasters that occur most frequently in the Brahmani River of
Eastern India. Frequent floods in the area, results from anthropogenic activities, climate …
Eastern India. Frequent floods in the area, results from anthropogenic activities, climate …
Characterizing recurrent flood hazards in the Himalayan foothill region through data-driven modelling
Floods are frequently occurring hazards in the Himalayan foothills that primarily affect the
physical environment and socio-economic profile of the local people. To this end, we used …
physical environment and socio-economic profile of the local people. To this end, we used …
Evaluating flood susceptibility in the brahmaputra river basin: an insight into Asia's Eastern Himalayan floodplains using machine learning and multi-criteria decision …
J Debnath, D Sahariah, M Mazumdar, D Lahon… - Earth Systems and …, 2023 - Springer
Floods represent a significant threat to human life, property, and agriculture, especially in
low-lying floodplains. This study assesses flood susceptibility in the Brahmaputra River …
low-lying floodplains. This study assesses flood susceptibility in the Brahmaputra River …
[HTML][HTML] Application of index of entropy and Geospatial techniques for landslide prediction in Lunglei district, Mizoram, India
The present study focuses on developing a landslide susceptibility zonation (LSZ) using GIS-
based bivariate statistical model in the Lunglei district of Mizoram. Initially, 17 factors were …
based bivariate statistical model in the Lunglei district of Mizoram. Initially, 17 factors were …