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Rainfall induced landslide studies in Indian Himalayan region: a critical review
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 …
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 …
(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
Multi-criteria decision analysis (MCDA) as an advantageous tool has been applied by
various researchers to improve their management ability. Management of groundwater …
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
In this study, we developed multiple hybrid machine-learning models to address parameter
optimization limitations and enhance the spatial prediction of landslide susceptibility models …
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
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) …
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 …
Landslide susceptibility maps are vital for disaster management and for planning
development activities in the mountainous country like Nepal. In the present study, landslide …
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
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 …
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
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 …
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
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 …
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 …
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 …
reason why for quite some time landslides have been described and modelled on the basis …