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جغرافیا و برنامه ریزی، جلد ۲۰، شماره ۵۷، صفحات ۲۹۵-۳۱۰
عنوان فارسی Abstract
چکیده فارسی مقاله Geo-tourism is a combination of geography and tourism. In this sense, geo-tourism encompasses biodiversity, cultural diversity, beautification, community-based tourism, and even local food movement, and homogeny and similarity are considered its enemies. Geo-tourism is a form of tourism which is defined to ensure the establishment and improvement of geographical features such as the environment, culture, landmarks and legacies and well-being of residents. With this approach, Deira catchment area in Gilangharb Township located in 215 km of Kermanshah, was chosen because of its natural resources for Geo-tourism assessment and was analyzed according to obtained data from library and literature studies and field studies using Pereira. Although the region attracts hordes of tourism annually, yet its economic position in tourism industry is not founded. In this research we try to assess Geo-tourism capabilities related to available landforms in the region in addition to identify geomorphological shapes and forms in the region and explore its features. The results of this study showed that the geomorphic location of Galin has high capability in the field of tourism attraction with 345/5 geomorphology value and managerial value of 5 in Deira catchment area. The geomorphological shapes and forms of the region have high capability in the field of tourism due to high ability in the field of geosciences education, and feature and attributes such as beauty, ease of access, and natural and cultural attractions.
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عنوان انگلیسی Geo-tourism, The catchment area of Deira, Pereira method, Geomorphological shapes and forms.Abstract
چکیده انگلیسی مقاله Earthquake is a serious threat for society development and its vulnerability is influenced by environmental variables. The damages of earthquakes are reduced by recognizing these variables and area zoning. The aim of this paper is the zoning of earthquake vulnerability of Sanadaj city based on effective variables. For this purpose, the final map of region's natural vulnerability zoning and skeletal indices and other effective social indices have been used. The variables were changed to layers of GIS and then, overlapping were performed using AHP and TOPSIS models. Finally, the vulnerability was classified in five groups from very low to very high. By comparing the results of these two models, it was revealed that these models had a similar vulnerability but they had a difference in which based on AHP model, the regions with  very high vulnerability have little fragmentation in contrast with TOPSIS model. Therefore, according to AHP the most fragmentation was occurred in regions with low vulnerability. While, based on TOPSIS, the regions with average vulnerability have the most extension. According to Both models the most vulnerable areas were in the north of Sanandaj city.
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نشانی اینترنتی http://geoplanning.tabrizu.ac.ir/article_5500_d864a02dc98e841d4d8cde1f510c536a.pdf
فایل مقاله اشکال در دسترسی به فایل - ./files/site1/rds_journals/760/article-760-452922.pdf
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