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 …

Landslide susceptibility mapping 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 …

Application of frequency ratio, statistical index, and weights-of-evidence models and their comparison in landslide susceptibility mapping 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 …

Multi-hazard probability assessment and mapping in Iran

HR Pourghasemi, A Gayen, M Panahi, F Rezaie… - Science of the total …, 2019 - Elsevier
Several areas of Iran are prone to numerous natural hazards. An effective multi-hazard risk
reduction requires analysis of the individual hazards and their interplay. This research …

Landslide susceptibility mapping at Golestan Province, Iran: a comparison between frequency ratio, Dempster–Shafer, and weights-of-evidence models

M Mohammady, HR Pourghasemi… - Journal of Asian Earth …, 2012 - Elsevier
The purpose of the present study is to investigate the landslide susceptibility mapping using
three statistical models such as frequency ratio, Dempster–Shafer, and weights-of-evidence …

Landslide susceptibility mapping at Vaz Watershed (Iran) using an artificial neural network model: a comparison between multilayer perceptron (MLP) and radial basic …

M Zare, HR Pourghasemi, M Vafakhah… - Arabian Journal of …, 2013 - Springer
Landslide susceptibility and hazard assessments are the most important steps in landslide
risk mapping. The main objective of this study was to investigate and compare the results of …

Application of a neuro-fuzzy model to landslide-susceptibility mapping for shallow landslides in a tropical hilly area

HJ Oh, B Pradhan - Computers & geosciences, 2011 - Elsevier
This paper presents landslide-susceptibility mapping using an adaptive neuro-fuzzy
inference system (ANFIS) using a geographic information system (GIS) environment. In the …

Landslide susceptibility mapping at Hoa Binh province (Vietnam) using an adaptive neuro-fuzzy inference system and GIS

DT Bui, B Pradhan, O Lofman, I Revhaug… - Computers & …, 2012 - Elsevier
The objective of this study is to investigate a potential application of the Adaptive Neuro-
Fuzzy Inference System (ANFIS) and the Geographic Information System (GIS) as a …

Spatial prediction of landslide hazards in Hoa Binh province (Vietnam): a comparative assessment of the efficacy of evidential belief functions and fuzzy logic models

DT Bui, B Pradhan, O Lofman, I Revhaug, OB Dick - Catena, 2012 - Elsevier
The main objective of this study is to evaluate and compare the results of evidential belief
functions and fuzzy logic models for spatial prediction of landslide hazards in the Hoa Binh …

[HTML][HTML] Is multi-hazard mapping effective in assessing natural hazards and integrated watershed management?

HR Pourghasemi, A Gayen, M Edalat, M Zarafshar… - Geoscience …, 2020 - Elsevier
Natural hazards are often studied in isolation. However, there is a great need to examine
hazards holistically to better manage the complex of threats found in any region. Many …