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داوران فعال 1400

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پهنه بندی مکانی فرسایش خاک با مدل RUSLE; مطالعه موردی زیرحوضه کویته (پاکستان)

نوع مقاله : پژوهشی

نویسندگان

1 استاد گروه سنجش از دور دانشکده برنامه ریزی وعلوم محیطی دانشگاه تبریز

2 دانشجوی دکتری، دانشکده برنامه ریزی وعلوم محیطی، دانشگاه تبریز

چکیده

حوضه فرعی کویته بخشی از حوضه رودخانه پیشین است که در منطقه جنوب غربی پاکستان واقع شده است. این مطالعه با هدف تعیین توزیع مکانی فرسایش سالانه خاک با استفاده از مدل معادله جهانی تلفات خاک (RUSLE) انجام شد. برای انجام این کار، تکنیک‌های داده کاوی متعدد، همراه با الگوریتم‌های یادگیری ماشین، برای تولید لایه‌های موضوعی (K، R، LS، C، و P) که به‌عنوان پارامترهای ورودی برای مدل RUSLE عمل می‌کردند، استفاده شد. بر اساس مدل حاصل، فرسایش خاک در منطقه مورد مطالعه از 00/0 تا 866 تن در هکتار در سال متغیر بود. مقادیر برآورد شده برای فرسایش بارندگی-رواناب (R)، خاک. فرسایش پذیری (K)، توپوگرافی (LS) و مدیریت پوشش (C)، عوامل از 147 تا 191 (MJ.mm.ha-1.h-1year-1)، 0.0229 تا 0.0259 (t.ha.MJ-1mm) متغیر بودند. ⁻1)، 0.002 تا 360.77 و 0.001 تا 1 به ترتیب. آمارها نشان داد که 58 درصد از اراضی منطقه مورد مطالعه درجه بسیار پایینی از فرسایش خاک را با نرخ فرسایش کمتر از 13.58 تن در هکتار در سال تجربه می‌کنند. حدود 24 درصد از منطقه مورد مطالعه با فرسایش کم مواجه است که نرخ فرسایش بین 13.58-44.16 تن در هکتار در سال است. 13 درصد از منطقه با شدت فرسایش متوسط ​​خاک، با نرخ فرسایش 44.16-81.53.14 تن در هکتار در سال مشخص شده است.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

Soil erosion spatial mapping with RUSLE model; A case study of Quetta Sub-basin (Pakistan)

نویسندگان [English]

  • maryam bayatikhatibi 1
  • imad ali 2

1 Professor, Department of Remote Sensing and GIS, University of Tabriz, Iran

2 Ph.D Student, Department of Remote Sensing and GIS, University of Tabriz, Iran

چکیده [English]

The Quetta sub-basin is a part of the Pishin River basin, situated in the southwestern region of Pakistan. This study aimed to determine the spatial distribution of annual soil erosion through the utilization of the Revised Universal Soil Loss Equation (RUSLE) model. To accomplish this, numerous data mining techniques were employed, along with machine learning algorithms, to produce thematic layers (K, R, LS, C, and P) that served as input parameters for the RUSLE model. According to the resultant model, soil erosion in the study area ranged from 0.00 to 866 tons per hectare per year. The estimated values for rainfall-runoff erosivity (R), soil. erodibility (K), topography (LS), and cover management (C), factors ranged from 147 to 191 (MJ.mm.ha⁻¹.h⁻¹year⁻¹), 0.0229 to 0.0259 (t.ha.MJ⁻¹mm⁻¹), 0.002 to 360.77, and 0.001 to 1, respectively. The statistics revealed that 58% of the land in the study area experiences a very low degree of soil erosion, at an erosion rate less than 13.58 t/ha/year. About 24% of the study area faces low erosion, with an erosion rate spanning from 13.58-44.16 t/ha/year. 13% of the area is demarcated as moderate soil erosion severity, at an erosion rate ranging from 44.16-81.53.14 t/ha/year. On the other hand, 5% of the study area experienced high to very high soil erosion, with an erosion rate of 81.53-866.34 t/ha/year.

کلیدواژه‌ها [English]

  • Soil erosion
  • RUSLE model
  • GIS
  • Geospatial data
  • Quetta sub-basin
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هیدروژئومورفولوژی
دوره 11، شماره 41 - شماره پیاپی 41
دی 1403
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  • تاریخ دریافت: 02 تیر 1403
  • تاریخ بازنگری: 20 تیر 1403
  • تاریخ پذیرش: 23 تیر 1403
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