Rainfall induced landslide studies in Indian Himalayan region: a critical review

A Dikshit, R Sarkar, B Pradhan, S Segoni, AM Alamri - Applied Sciences, 2020 - mdpi.com
Landslides are one of the most devastating and recurring natural disasters and have
affected several mountainous regions across the globe. The Indian Himalayan region is no …

A bibliometric and content analysis of research trends on GIS-based landslide susceptibility from 2001 to 2020

J Huang, X Wu, S Ling, X Li, Y Wu, L Peng… - … Science and Pollution …, 2022 - Springer
To assess the status of hotspots and research trends on geographic information system
(GIS)–based landslide susceptibility (LS), we analysed 1142 articles from the Thomas …

Groundwater potential map** at Kurdistan region of Iran using analytic hierarchy process and GIS

O Rahmati, A Nazari Samani, M Mahdavi… - Arabian Journal of …, 2015 - Springer
Multi-criteria decision analysis (MCDA) as an advantageous tool has been applied by
various researchers to improve their management ability. Management of groundwater …

[HTML][HTML] Spatial prediction of landslide susceptibility in western Serbia using hybrid support vector regression (SVR) with GWO, BAT and COA algorithms

AL Balogun, F Rezaie, QB Pham, L Gigović… - Geoscience …, 2021 - Elsevier
In this study, we developed multiple hybrid machine-learning models to address parameter
optimization limitations and enhance the spatial prediction of landslide susceptibility models …

Application of fuzzy logic and analytical hierarchy process (AHP) to landslide susceptibility map** at Haraz watershed, Iran

HR Pourghasemi, B Pradhan, C Gokceoglu - Natural hazards, 2012 - Springer
The main goal of this study is to produce landslide susceptibility maps of a landslide-prone
area (Haraz) in Iran by using both fuzzy logic and analytical hierarchy process (AHP) …

Landslide susceptibility map** using certainty factor, index of entropy and logistic regression models in GIS and their comparison at Mugling–Narayanghat road …

KC Devkota, AD Regmi, HR Pourghasemi, K Yoshida… - Natural hazards, 2013 - Springer
Landslide susceptibility maps are vital for disaster management and for planning
development activities in the mountainous country like Nepal. In the present study, landslide …

An artificial neural network model for flood simulation using GIS: Johor River Basin, Malaysia

MB Kia, S Pirasteh, B Pradhan, AR Mahmud… - Environmental earth …, 2012 - Springer
Flooding is one of the most destructive natural hazards that cause damage to both life and
property every year, and therefore the development of flood model to determine inundation …

Application of frequency ratio, statistical index, and weights-of-evidence models and their comparison in landslide susceptibility map** in Central Nepal Himalaya

AD Regmi, KC Devkota, K Yoshida, B Pradhan… - Arabian Journal of …, 2014 - Springer
Abstract The Mugling–Narayanghat road section falls within the Lesser Himalaya and
Siwalik zones of Central Nepal Himalaya and is highly deformed by the presence of …

Landslide susceptibility map** using index of entropy and conditional probability models in GIS: Safarood Basin, Iran

HR Pourghasemi, M Mohammady, B Pradhan - Catena, 2012 - Elsevier
Landslide susceptibility map** is essential for land use planning and decision-making
especially in the mountainous areas. The main objective of this study is to produce landslide …

Landslide susceptibility assessment and factor effect analysis: backpropagation artificial neural networks and their comparison with frequency ratio and bivariate …

B Pradhan, S Lee - Environmental Modelling & Software, 2010 - Elsevier
Data collection for landslide susceptibility modeling is often an inhibitive activity. This is one
reason why for quite some time landslides have been described and modelled on the basis …