پهنه‏ بندی مناطق حساس به فرسایش خندقی با استفاده از منطق فازی‏ (حوزه آبخیز قلعه گرگ شوشتر)

در اثر فرسایش خاک، مهم‏ترین منبع تولید مایحتاج بشر از بین می‏رود. به‌همین سبب، لزوم انجام تحقیقات بنیادی و کاربردی در زمینه ارزیابی فرسایش خاک به روش‌های مختلف در راستای مدیریت جامع منابع طبیعی بیش از پیش مورد تاکید قرار گرفته است. هدف از این پژوهش کاربرد عمل‏گرهای منطق فازی در پهنه‏بندی فرسایش خندقی در حوزه آبخیز قلعه گرگ واقع در شهرستان شوشتر می‌باشد. در این پژوهش میزان شش متغیر تاثیرگذار در فرسایش خاک شامل: میانگین وزنی قطر خاکدانه، سدیم قابل جذب، شوری، شن‌ریز، سیلت و رس خاک مطابق روش‌های استاندارد آزمایشگاهی تعیین گردید. سپس کلاس‌بندی مجدد و استانداردسازی لایه‌ها به روش فازی انجام و لایه‌های فازی شده با استفاده از عمل‏گرهای جمع جبری فازی، ضرب جبری فازی و گامای فازی 0.2، 0.5، 0.8 و 0.9 با یکدیگر تلفیق و نتایج حاصله مورد ارزیابی قرار گرفت. در پایان جهت اعتبارسنجی نقشه‌های تهیه شده، از دو روش درصد تطابق نقشه مناطق دارای حساسیت خیلی زیاد و زیاد با نقشه خندق‌های منطقه و شاخص مجموع کیفیت (qs) استفاده شد. با توجه به نتایج به‌دست آمده و با در نظر گرفتن مساحت پهنه‌های مختلف و میزان درصد خندق‌های رخ داده در هریک از آنها، گامای فازی 0.9 با دارا بودن بیشترین میزان شاخص مجموع کیفیت (0.73) در بین عمل‏گرهای مختلف، همچنین 94.93 درصد تطابق نقشه خندق‌های منطقه با مناطق حساسیت خیلی زیاد و زیاد به‌عنوان بهترین روش جهت تهیه نقشه پهنه‌بندی مناطق حساس به فرسایش خندقی در منطقه مورد مطالعه انتخاب گردید.

Evaluation and Zonation of Sensitive Areas to Gully Erosion Using Fuzzy Logic (Case Study: Ghaleh Gorg Watershed- Shushtar)

Introduction: Soil erosion is the most widespread form of soil degradation jeopardizing food security worldwide. In Iran, gully erosion is important because about 90% of the country has arid and semiarid climates and rainfall is not adequately distributed. In such conditions, the absence or lack of vegetation cover with increasing runoff causes more than 2 billion tons of soil losses annually. Therefore, conducting basic and applied researches on soil erosion via different methods for comprehensive management of natural resources is emphasized. The prerequisite for all kinds of erosion, such as gully erosion, is the prediction of the risk of gully formation in different areas susceptible to erosion. Materials and Methods: The study area is located in Ghaleh Gorg watershed which subbasin of Shahid Modarres that large part of these farmlands has been destroyed by gully erosion. The purpose of this study was to apply fuzzy logic operators for gully erosion zoning. In this research, six effective parameters on soil erosion including mean weight diameter of aggregate, sodium adsorption ratio, salinity, percent of fine sand, silt and clay were determined according to standard laboratory methods. After reclassification, standardization of prepared layers was carried out by the Fuzzy method. Hence, Fuzzybased layers were integrated using operators of Fuzzy algebraic sum, Fuzzy algebraic production and Fuzzy gamma with 0.2, 0.5, 0.8, 0.9 values and the obtained results were evaluated. The validation of prepared maps was done based on two methods of map matching percentage of areas with very high and high sensitivity with gullies map of the study area and quality sum index (Qs). Results and Discussion: The Fuzzy results of raster layers showed the relative accumulation of silt, clay and fine sand grains in the middle to western parts of the region due to leaching and soil aggregation of Aghajari formation with a high slope of >20%. The deposition of this sediments was with 05% slope in the middle and western part of the basin. Results of layer integration indicated the fact that the fuzzy summation and multiplication method are not suitable approaches for final mapping because of their high increasing and decreasing effects, respectively. About Fuzzy Gamma operator 0.2, the results revealed that about 17.07% of the area was in the high and very highrisk zone and 67.07% of the area was in the low risk zone. In Fuzzy Gamma 0.5, about 31.16% of the area was in high risk and 55.38% in low risk zone. And only 60.38 percent of the gullies was in the highrisk area. Thus, these both operators 0.2 and 0.5 cannot be an acceptable method for preparing the final fuzzy map. The results of gamma operator 0.8 showed that about 43.21% of the area was in high and very high risk classes and 42.45% of the area was in low and very low risk classes. In the gamma operator 0.9, about 60.92% of the area was in high and very high risk zone and 17.1% of the area was in low and very lowrisk zone. Also, regarding the distribution range of gullies, 94.93% of gullies was in high and very high risk classes, which is more acceptable and better than gamma 0.8. According to the obtained results, Fuzzy gamma 0.9 with 94.93 matching percentage of areas containing very high and high sensitivity and maximum quality sum index (0.73) among different operators was selected as the best method for preparing Fuzzy map in the study area. Conclusion: According to the results of this study and its comparison with field observations, effective factors contributing to the initiation and development of gully erosion were sensitivity of the geological formations, soil texture type, salinity and alkalinity and nonimplementation of biological and biomechanical operations to the soil and vegetation cover restoration. Around 3855 hectares (60.38%) out of 6327.5 hectares of the total studied area were at high and very high erosion risk. Furthermore, 2056 hectares (94.93%) out of the 2166 hectares of the gullies area were at high and very high risk of erosion, denoting the high accuracy of the final map. Among the available methods, Fuzzy Gamma 0.9 with the highest overlap between the area of high and very highrisk classes of the gully map (94.93%), and the highest qualitative sum index (0.73), was selected as the best fuzzy method for zoning in the study area.