The preparation of landslide map by Landslide Numerical Risk Factor (LNRF) model and Geographic Information System (GIS)
One of the risks to threaten mountainous areas is that hillslope instability caused damage to lands. One of the most dangerous instabilities is mass movement and much movement occurs due to slip. The aim of this study is zonation of landslide hazards in a basin of the Ardebil province, the eastern s...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2014-12-01
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| Series: | Egyptian Journal of Remote Sensing and Space Sciences |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1110982314000209 |
| _version_ | 1818310389719367680 |
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| author | Ali Mohammadi Torkashvand Akram Irani Jaliledin Sorur |
| author_facet | Ali Mohammadi Torkashvand Akram Irani Jaliledin Sorur |
| author_sort | Ali Mohammadi Torkashvand |
| collection | DOAJ |
| description | One of the risks to threaten mountainous areas is that hillslope instability caused damage to lands. One of the most dangerous instabilities is mass movement and much movement occurs due to slip. The aim of this study is zonation of landslide hazards in a basin of the Ardebil province, the eastern slopes of Sabalan, Iran. Geological and geomorphologic conditions, climate and type of land use have caused susceptibility of this watershed to landslides. Firstly, maps of the main factors affecting landslide occurrence including slope, distance from faults, lithology, elevation and precipitation were prepared and digitized. Then, by using interpretation of aerial photos and satellite images and field views, the ground truth map of landslides was prepared. Each basic layer (factor) and landslide map were integrated to compute the numeric value of each factor with the help of a Landslide Numerical Risk Factor (LNRF) model and landslide occurrence percent obtained in different units from each of the maps. Finally, with overlapping different data layers, a landslide hazard zonation map was prepared. Results showed that 67.85% of the basin has high instability, 7.76% moderate instability and 24.39% low instability. |
| first_indexed | 2024-12-13T07:45:17Z |
| format | Article |
| id | doaj.art-5d95f4ab7fe44101bd92a9ef948b3ba8 |
| institution | Directory Open Access Journal |
| issn | 1110-9823 |
| language | English |
| last_indexed | 2024-12-13T07:45:17Z |
| publishDate | 2014-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Egyptian Journal of Remote Sensing and Space Sciences |
| spelling | doaj.art-5d95f4ab7fe44101bd92a9ef948b3ba82022-12-21T23:54:51ZengElsevierEgyptian Journal of Remote Sensing and Space Sciences1110-98232014-12-0117215917010.1016/j.ejrs.2014.08.001The preparation of landslide map by Landslide Numerical Risk Factor (LNRF) model and Geographic Information System (GIS)Ali Mohammadi Torkashvand0Akram Irani1Jaliledin Sorur2Department of Soil Science, Rasht Branch, Islamic Azad University, Rasht, IranRasht Branch, Islamic Azad University, Rasht, IranDepartment of Geography, Rasht Branch, Islamic Azad University, Rasht, IranOne of the risks to threaten mountainous areas is that hillslope instability caused damage to lands. One of the most dangerous instabilities is mass movement and much movement occurs due to slip. The aim of this study is zonation of landslide hazards in a basin of the Ardebil province, the eastern slopes of Sabalan, Iran. Geological and geomorphologic conditions, climate and type of land use have caused susceptibility of this watershed to landslides. Firstly, maps of the main factors affecting landslide occurrence including slope, distance from faults, lithology, elevation and precipitation were prepared and digitized. Then, by using interpretation of aerial photos and satellite images and field views, the ground truth map of landslides was prepared. Each basic layer (factor) and landslide map were integrated to compute the numeric value of each factor with the help of a Landslide Numerical Risk Factor (LNRF) model and landslide occurrence percent obtained in different units from each of the maps. Finally, with overlapping different data layers, a landslide hazard zonation map was prepared. Results showed that 67.85% of the basin has high instability, 7.76% moderate instability and 24.39% low instability.http://www.sciencedirect.com/science/article/pii/S1110982314000209GISMass movementsSabalanWatershed |
| spellingShingle | Ali Mohammadi Torkashvand Akram Irani Jaliledin Sorur The preparation of landslide map by Landslide Numerical Risk Factor (LNRF) model and Geographic Information System (GIS) Egyptian Journal of Remote Sensing and Space Sciences GIS Mass movements Sabalan Watershed |
| title | The preparation of landslide map by Landslide Numerical Risk Factor (LNRF) model and Geographic Information System (GIS) |
| title_full | The preparation of landslide map by Landslide Numerical Risk Factor (LNRF) model and Geographic Information System (GIS) |
| title_fullStr | The preparation of landslide map by Landslide Numerical Risk Factor (LNRF) model and Geographic Information System (GIS) |
| title_full_unstemmed | The preparation of landslide map by Landslide Numerical Risk Factor (LNRF) model and Geographic Information System (GIS) |
| title_short | The preparation of landslide map by Landslide Numerical Risk Factor (LNRF) model and Geographic Information System (GIS) |
| title_sort | preparation of landslide map by landslide numerical risk factor lnrf model and geographic information system gis |
| topic | GIS Mass movements Sabalan Watershed |
| url | http://www.sciencedirect.com/science/article/pii/S1110982314000209 |
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