Landslide Hazard Mapping in Goijabel of Ahar Using GIS
This article aims to evaluate sensitivity of Goijabel basin lands in landsliding based on GIS and AHP. The main reason for selection of this basin for research is to observe the current landsliding in the region by the author and environmental preservation attitude of the authors. This basin is one...
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| Format: | Article |
| Language: | fas |
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University of Tabriz
2015-01-01
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| Series: | نشریه جغرافیا و برنامهریزی |
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| Online Access: | https://geoplanning.tabrizu.ac.ir/article_3127_0f5684b217e7cc694490c026e22abed6.pdf |
| Summary: | This article aims to evaluate sensitivity of Goijabel basin lands in landsliding based on GIS and AHP. The main reason for selection of this basin for research is to observe the current landsliding in the region by the author and environmental preservation attitude of the authors. This basin is one of the sub-basins of Aharchi in area of 7406 Hectares with geographical statues of 46,47,21/26 to 46,56,53/64 east longitude and 38,21, 42/13 to 38,27,39/04 north latitude. The criteria selected for analysis of landsliding sensitivity in the study basin involve nine parameters (slope, aspect, height, lithology, fault, road, landuse, precipitation and main water ways) extracted from basic maps, field studies and spot satellite images and their primary valuation was conducted by using GIS techniques in five layers relative to the effect of each measure on incidence of landsliding. Then pair comparison of the layers was carried out by using Mariyoni attached program (AHP extension) and final map of the land sensitivity in landsliding was extracted. The results of landsliding sensitivity analysis in Goijabel basin showed that the most effective factor in land sliding is lithology with weight of 0.3113 according to the highest weight and then the height with minimum weight of 0.0178 is the criterion with lowest effect in landsliding. Also the analysis of landsliding danger in the study basin shows that endangered lands with high sliding capability involve 1222 ha which cover %16.5 of the total regions. |
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| ISSN: | 2008-8078 2717-3534 |