پژوهش های جغرافیای طبیعی

پژوهش های جغرافیای طبیعی

ارزیابی ژئودایورسیتی منطقه اورامانات و تحلیل توزیع مکانی ژئوسایت‌های ژئوتوریستی، با استفاده از مدل GMI

نوع مقاله : مقاله کامل

نویسندگان
1 گروه ژئومورفولوژی، دانشکده برنامه‌ریزی و علوم محیطی، دانشگاه تبریز، تبریز، ایران.
2 عضو هیأت علمی/دانشگاه تبریز
10.22059/jphgr.2026.421506.1007956
چکیده
ژئودایورسیتی از ابعاد بنیادین تنوع سرزمینی است که با بازتاب تنوع عناصر زمین‌شناختی، لندفرم‌ها و فرایندهای ژئومورفولوژیکی، زمینه شناخت میراث زمینی را فراهم می‌کند. منطقه اورامانات در شمال‌غرب ایران، به‌دلیل تنوع عوارض زمین، ظرفیت قابل‌توجهی برای مطالعات ژئودایورسیتی و ژئوتوریسم دارد. پژوهش حاضر با هدف ارزیابی ژئودایورسیتی و بررسی انطباق آن با پراکنش ۳۱ ژئوسایت ژئوتوریستی انجام شد. بدین منظور، شاخص ژئومورفودایورسیتی (GMI) بر پایه پنج مؤلفه تنوع لندفرم، زمین‌شناسی، زبری ناهمواری، شیب و تراکم زهکشی محاسبه شد. داده‌ها شامل مدل رقومی ارتفاع ALOS-PALSAR با قدرت تفکیک 5/12 متر و نقشه‌های زمین‌شناسی ۱:۱۰۰۰۰۰ بود. پردازش‌ها در ArcGIS 10.5 و SAGA-GIS انجام و وزن مؤلفه‌ها با روش SWARA تعیین شد. نتایج نشان داد 84/43 درصد منطقه در طبقات بالا و بسیار بالای ژئودایورسیتی قرار دارد که عمدتاً شامل کمربندهای گسلی، محدوده کارستی شاهو و دره‌های سیروان و لیله است. همچنین، ۲۱ ژئوسایت (74/67 درصد) در این طبقات قرار گرفتند. تنوع لندفرم با وزن 2942/0 بیشترین سهم را داشت. دره انجیرک، رودخانه لیله، دزلی، چشمه بل و پالنگان از ژئوسایت‌های شاخص بودند. این نتایج، کاربرد GMI را به‌عنوان ابزاری مکمل برای ارزیابی ژئودایورسیتی و پشتیبانی از مطالعات میراث زمینی و برنامه‌ریزی ژئوتوریسم در اورامانات نشان می‌دهد.
کلیدواژه‌ها
موضوعات

عنوان مقاله English

Assessment of Geodiversity in the Uramanat Region and Analysis of Geotouristic Geosite Spatial Distribution Using the GMI Model

نویسندگان English

Fatemeh Rahmati 1
Davood mokhtari 2
Mohammad Hossein Rezaei Moghaddam 1
1 Department of Geomorphology, Faculty of Planning and Environmental Sciences, University of Tabriz, Tabriz, Iran.
2 University of Tabriz
چکیده English

Geodiversity describes the variety of geological materials, landforms, and geomorphological processes that shape landscapes. It provides a foundation for understanding geoheritage and the physical settings of geotouristic features. Uramanat in northwestern Iran is characterised by interacting tectonic structures, karst development, fluvial incision, and evidence of past glacial processes. Although it is recognised as a UNESCO World Heritage Cultural Landscape, quantitative assessment of geodiversity across the region and its relationship with geotouristic geosites remains limited. This study assessed geomorphodiversity using the Geomorphodiversity Index (GMI) and examined its correspondence with 31 selected geotouristic geosites. The study covered approximately 4,099.29 km² in parts of Kurdistan and Kermanshah provinces. The elevation dataset was an ALOS-PALSAR digital elevation model with 12.5 m spatial resolution; geological information came from 1:100,000-scale maps covering the Paveh, Salas-e Babajani, Bayangan, Kamyaran, and Tij Tij sheets. Locations of 31 geotouristic geosites were compared with the GMI output. Spatial processing was conducted in ArcGIS 10.5, while SAGA-GIS and the Geomorphons algorithm supported an independent comparison of landform patterns. The assessment represents variation in the physical landscape; it does not directly measure the scientific, cultural, aesthetic, or educational value of individual geosites. Five components were used to calculate the GMI: landform diversity (Lcv), geological diversity (Geov), terrain-roughness diversity (Rgv), slope diversity (Spv), and drainage-density diversity (Ddv). The component layers were derived from terrain and geological data using focal analysis with a 71 × 71-pixel moving window and were normalised using min–max scaling. Relative weights were determined by the Step-Wise Weight Assessment Ratio Analysis (SWARA) method using judgments from 12 specialists with at least ten years of relevant experience. The weights were 0.2942 for Lcv, 0.2278 for Geov, 0.1866 for Rgv, 0.1599 for Spv, and 0.1315 for Ddv. Weighted components were combined to produce the GMI raster, which was classified into five Natural Breaks (Jenks) classes: very low (V1), low (V2), moderate (V3), high (V4), and very high (V5). GMI values were extracted at geosite locations to compare their distribution across the classes. Geodiversity is unevenly distributed across Uramanat. High and very-high GMI classes (V4–V5) cover 43.84% of the study area, approximately 1,796.01 km². They occur mainly along major structural and fault belts, around the Shahoo karst massif, and within the deeply incised Sirvan and Lileh valleys. These areas contain contrasting geological units and closely juxtaposed landforms, including dolines, uvalas, hogbacks, cuestas, river terraces, and alluvial fans. By contrast, parts of the south and southeast, particularly the Ravansar plain, have lower GMI values, consistent with more homogeneous terrain and geomorphological conditions. Landform diversity received the highest weight (0.2942), followed by geological diversity (0.2278), terrain-roughness diversity (0.1866), slope diversity (0.1599), and drainage-density diversity (0.1315). Landform diversity varied most where several geomorphological systems occurred close together. Geological diversity was relatively low across much of the region: 87.3% of the area fell within its lower classes, while higher values appeared locally near boundaries between lithological units. Terrain-roughness diversity was more pronounced in transition zones. The moderate slope-diversity class covered 39.3% of the area; higher values were associated mainly with mountains and deeply incised valleys. Karstic limestone areas generally had lower surface drainage density, consistent with infiltration through fractures, joints, and dissolution cavities. Of the 31 geosites, 10 were located in V5 and 11 in V4. Together, these 21 sites represent 67.74% of the total and fall within high and very-high GMI classes. This share exceeds the 43.84% of the study area occupied by these classes, indicating descriptive correspondence between many selected geosites and areas of relatively high geodiversity. The highest GMI values were recorded at Anjirk Valley (0.5288), Lileh River (0.5044), Dezli Village (0.4989), Bal Spring (0.4798), and Palangan Village (0.4753). Shahoo summit, despite its landscape prominence, had a GMI value of 0.2821 (V2). This illustrates that a prominent feature may lie within a neighbourhood with lower component diversity: GMI represents variation within the analysis window, not the overall importance of an individual landform. The correspondence is not proof of statistically significant spatial association because no independent significance test was performed. The study provides a quantitative overview of geomorphodiversity across Uramanat and clarifies how selected geotouristic geosites correspond with GMI classes. GMI can distinguish areas with different levels of physical-landscape diversity and complement field-based, site-specific geoheritage assessment. Interpretation depends on input data, analysis window, classification, and weighting. The index should therefore be used alongside evaluations of the scientific, cultural, aesthetic, historical, and educational attributes of individual geosites. These findings offer a basis for further geoheritage and geotourism research in Uramanat and a framework to test in other mountainous regions with comparable structural and geomorphological complexity.

کلیدواژه‌ها English

"Geodiversity"
"Geomorphodiversity"
"GMI Model"
"Geotourism"
"Uramanat"

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