19 Result(s)
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Ananta Man Singh Pradhan
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Article
Utilizing artificial intelligence techniques for soil depth prediction and its influences in landslide hazard modeling
Soil depth plays a pivotal role in determining hillslope stability, understanding hydrogeology, promoting optimal vegetation growth, and comprehensively elucidating soil erosion dynamics. In this study, two ro...
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Article
Can a Spatially Distributed Hydrological Model Effectively Analyze Hydrological Processes in the Nepal Himalaya River Basin?
In regions characterized by snow and glaciers, the selection of appropriate methodologies and the use of suitable hydrological models are imperative due to heightened vulnerability to the impacts of global cli...
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Article
Lithological terrain-based rainfall thresholds for possible initiation of shallow landslides in South Korea
Landslides are frequently occurring natural disasters in South Korea, mostly during the rainy season (June to September) due to typhoons and extreme rainfall. Rainfall must be analyzed for its role as a primar...
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Article
Bone-Implant Osseointegration Monitoring Using Electro-mechanical Impedance Technique and Convolutional Neural Network: A Numerical Study
Accurate quantification of the jawbone-implant interface plays a pivotal role in assessing the mechanical stability of dental implant structures. This study proposes a methodology integrating the electro-mecha...
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Article
Assessment of spring water quality of Khandbari Municipality in Sankhuwasabha District, Eastern Nepal
The study was carried out in the Khandbari Municipality, Sankhuwasabha District, Eastern Nepal to document the spring location and assess the water quality of the spring water for drinking and irrigation purpo...
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Article
Development and Evaluation of Relative Relief Based Soil Thickness Model: A Comparative Study in Hilly Terrain, South Korea
Soil thickness is a major parameter to better understand slope stability, surface erosion, groundwater storage, and vegetation growth. In this study, the main focus is the development and application of a rela...
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Article
An artificial intelligence-based approach to predicting seismic hillslope stability under extreme rainfall events in the vicinity of Wolsong nuclear power plant, South Korea
Rainfall and earthquakes are two significant triggering factors of mass movement. Since the Gyeongju earthquake on 12 September 2016, which took place near the Wolsong nuclear power plant, many concerns have b...
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Article
Application of deep neural network to capture groundwater potential zone in mountainous terrain, Nepal Himalaya
This study aims to capture groundwater potential zones integrating deep neural network and groundwater influencing factors. The present work was carried out for Gopi khola watershed, mountainous terrain in Nep...
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Article
Map** the susceptibility of rainfall and earthquake triggered landslides along China–Nepal highways
The 2015 Gorkha earthquake (Mw = 7.8) caused significant earthquake triggered landslides (ETL) in a landscape that is heavily intervened by rainfall triggered landslides (RTL). China’s Belt and Road Initiative...
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Article
Semi-quantitative method to identify the vulnerable areas in terms of building aggregation for probable landslide runout at the regional scale: a case study from Soacha Province, Colombia
Landslide susceptibility and vulnerability maps are key components for urban planning and risk management. The main objective of this research was spatial vulnerability map** in the probable landslide runout...
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Article
A shallow slide prediction model combining rainfall threshold warnings and shallow slide susceptibility in Busan, Korea
Rainfall-induced shallow landslides are common in many mountainous countries. Highly concentrated precipitation triggers landslides and debris flows in worldwide. Every year, several shallow slides and debris ...
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Article
An ensemble landslide hazard model incorporating rainfall threshold for Mt. Umyeon, South Korea
In this study, a new ensemble method was developed to assess landslide hazard models in Mt. Umyeon, South Korea, using the results of a physically based model as a conditioning factor (CF). Hydrological condit...
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Article
Spatial data analysis and application of evidential belief functions to shallow landslide susceptibility map** at Mt. Umyeon, Seoul, Korea
Predictive map** of landslide occurrence at the regional scale was performed at Mt. Umyeon, in the southern part of Seoul, Korea, using an evidential belief function (EBF) model. To generate the landslide su...
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Chapter and Conference Paper
Hybrid Landslide Warning Model for Rainfall Triggered Shallow Landslides in Korean Mountain
This study uses a physically based approach to evaluate the factor of safety (FS) of the hillslope for different hydrological conditions and to prepare warning map of prob...
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Article
Application and comparison of shallow landslide susceptibility models in weathered granite soil under extreme rainfall events
Landslide susceptibility maps are important for risk management and land-use planning in mountainous countries such as Korea. Many of the slopes of the mountainous areas of Korea are composed of residual soils...
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Article
Relative effect method of landslide susceptibility zonation in weathered granite soil: a case study in Deokjeok-ri Creek, South Korea
The objective of this study was to produce and evaluate a landslide susceptibility map for weathered granite soils in Deokjeok-ri Creek, South Korea. The relative effect (RE) method was used to determine the r...
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Chapter and Conference Paper
Predictive Capability of Deterministic and Statistical Models in Weathered Granite Soil Watershed
Every year, the Republic of Korea experiences numerous landslides, resulting in property damage and casualties, especially in weathered granite soil slopes.
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Article
The relationship between geology and rock weathering on the rock instability along Mugling–Narayanghat road corridor, Central Nepal Himalaya
The present study was conducted along the Mugling–Narayanghat road section and its surrounding region that is most affected by landslide and related mass-movement phenomena. The main rock types in the study ar...
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Chapter
A Case Study on Landslide Hazard Map** in Changunarayan VDC, Nepal
An application of GIS for landslide hazard assessment using multivariate statistical analysis, map**, and the evaluation of the hazard maps is presented. The study area is the Changunarayan VDC (8.19 km2) locat...
