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Hari Prasad Pandey
Ministry of Forests and Environment
Corresponding Author
ORCiD: https://orcid.org/0000-0002-9448-7395
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This work is licensed under a CC BY 4.0 License. Read Full License
An application of GIS for landslide hazard assessment using multivariate statistical analysis, mapping, and the evaluation of the hazard maps is crucial for disaster risk reduction. Landslides are the rapid downward movement of a mass of rock, earth or artificial fill to the slope. The study was conducted the Khara of Triveni Rural Municipality of Rukum West district of Karnali Province of where the pressure of rural road constructions seems relatively higher. Primary data were collected and used to construct the landslide distribution map and hazard assessments those were obtained from the direct ground-truthing and mapping using GIS. To determine the factors and classes influencing land sliding, the layers of topographic factors derived from a digital elevation model (DEM), geology, and land use/land covers were analyzed. The results are presented in landslide distribution mapping and hazard analyses. From the landslide inventory of more than 200 landslides that were occurred since 2015, the landslide distribution maps, landslide-size distribution maps and hazard level of sliding graphics were presented. Hazard map of the study area shows 4.34% area lies in the high hazard level, 53.64% on moderate hazard level and 42.02% in low hazard level in the study area. The results would give insights to the landslide distribution in the area that could support rural municipality for shaping disaster risk reduction policies and strategies. The result could be reference for landslide distribution mapping and hazard zonation.
Keywords
Digital Source, Distribution Map, Ground-truthing, Landslide Distribution, Hazard Mapping, Nepal
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A new preprint design is coming!
We have improved readability, clarity, accessibility, and opportunities for engagement.
This is a preprint, a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Research
Hari Prasad Pandey
Ministry of Forests and Environment
Corresponding Author
ORCiD: https://orcid.org/0000-0002-9448-7395
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
History
CURRENT STATUS: Posted
Version 1
Posted 26 Oct, 2020
No community comments so far
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
License:
This work is licensed under a CC BY 4.0 License. Read Full License
An application of GIS for landslide hazard assessment using multivariate statistical analysis, mapping, and the evaluation of the hazard maps is crucial for disaster risk reduction. Landslides are the rapid downward movement of a mass of rock, earth or artificial fill to the slope. The study was conducted the Khara of Triveni Rural Municipality of Rukum West district of Karnali Province of where the pressure of rural road constructions seems relatively higher. Primary data were collected and used to construct the landslide distribution map and hazard assessments those were obtained from the direct ground-truthing and mapping using GIS. To determine the factors and classes influencing land sliding, the layers of topographic factors derived from a digital elevation model (DEM), geology, and land use/land covers were analyzed. The results are presented in landslide distribution mapping and hazard analyses. From the landslide inventory of more than 200 landslides that were occurred since 2015, the landslide distribution maps, landslide-size distribution maps and hazard level of sliding graphics were presented. Hazard map of the study area shows 4.34% area lies in the high hazard level, 53.64% on moderate hazard level and 42.02% in low hazard level in the study area. The results would give insights to the landslide distribution in the area that could support rural municipality for shaping disaster risk reduction policies and strategies. The result could be reference for landslide distribution mapping and hazard zonation.
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