International Journal of Environmental Research، جلد ۷، شماره ۲، صفحات ۳۱۹-۳۳۶

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عنوان انگلیسی Landslide Susceptibility Mapping for the Urmia Lake basin, Iran: A multi- Criteria Evaluation Approach using GIS
چکیده انگلیسی مقاله Although typically small in terms of their spatial footprint, landslide hazards are relativelyfrequent in Northern Iran. We assess landslide susceptibility for the nearly 20.000 km2 large study area of the Urmia lake basin which is dominated by agricultural land use but includes the major settlements areas of the East Azerbaijan province, Iran. Landslide factors are established in form of GIS dataset layers includingtopography, geology, climatology and land use. After pre-processing all data layers are standardized based on a fuzzy logic model. An Analytical Hierarchical Process (AHP) delivers the weights for the GIS-analysis.Datasets are combined by GIS spatial analysis techniques and a landslide susceptibility map of the study area is created. An existing inventory of known landslides within the case study area was compared with theresulting susceptibility map. We found that high susceptible zones cover about 4.47% (944 km2) of the totalarea whereby geological outcrops of sedimentary and volcanic formations such as volcanic ash contribute most to the landslide susceptibility. Due to the dynamic growth of settlements especially in the vicinity of the city of Tabriz landslide hazards may cause even more damage in the future.The resulting information of thisresearch is useful for a) a better understanding of existing landslides and their origins in North-Western Iran, b) supporting emergency decisions and c) prioritization of efforts for the reduction and mitigation of future landslide hazards.
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نویسندگان مقاله b فیضی زاده |
1department of physical geography centre for remote sensing and gis, university of tabriz, iran, department of geography amp;amp; geology centre for geoinformatics , university of salzburg, 5020, austria
سازمان اصلی تایید شده: دانشگاه تبریز (Tabriz university)

t blaschke |
department of geography amp;amp; geology centre for geoinformatics , university of salzburg, 5020, austria

h نظم فر |
department of geography and urban planning, university of mohaghegh ardabili, ardabil, iran

محمدحسین رضایی مقدم | m h rezaei moghaddam
department of physical geography centre for remote sensing and gis, university of tabriz, iran
سازمان اصلی تایید شده: دانشگاه تبریز (Tabriz university)


نشانی اینترنتی http://ijer.ut.ac.ir/article_610_132090fb41f337a8d74341fddf677acb.pdf
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زبان مقاله منتشر شده en
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