Evaluation of erosion and sediment uncertainty estimation using semi-quantitative models (A Case Study in watershed of second urban phase, Mashhad, Khorasan Province)

  • سال انتشار: 1397
  • محل انتشار: کنگره ملی سالانه ایده های نوین پژوهشی در علوم مهندسی و تکنولوژی، برق و کامپیوتر
  • کد COI اختصاصی: SETCO01_156
  • زبان مقاله: انگلیسی
  • تعداد مشاهده: 568
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نویسندگان

Maryam Pourkarimi.D

Department of Soil Science, Agriculture and Natural Resource College, Science and Research Branch, Islamic Azad University, Tehran, Iran

Shahla Mahmoudi

Department of Soil Science, Tehran University, Tehran, Iran

Mohamad Hasan Masihabadi

Research Assistant, Soil and water Research Institute of Tehran

Ebrahim Pazira

Department of Soil Science, Agriculture and Natural Resource College, Science and Research Branch, Islamic Azad University, Tehran, Iran

چکیده

Since soil erosion can be studied qualitatively and quantitatively, various practical methods have been developed, but most of them are not accurate in the information processing, regarding soil erosion. There are some models that purport to have such an approach, at least to an extent. Often, these models are a combination of descriptive and quantitative procedures to characterize a drainage basin and result in a quantitative or sometimes qualitative estimate of sediment yield in a basin. Therefore, these models can be classified in general as semi-quantitative (EPM (Gavrilovic method) and MPSIAC). The study area of Mashhad-Chenaran site, measuring 223989.7 acres, is the largest and the most important sub basin of Kashafroud. The sediment amount in sediment measuring stations showed 2.74 t/ha per year, however by using MPSIAC model the result changed to 1.56 t/ha per year and using EPM model showed 5.73 t/ha per year. EPM and MPSIAC both have been created in the countries with different climate and geology attributes. Hence, coefficients and effective factors in erosion does not correspond to conditions in Iran completely.

کلیدواژه ها

Gavrilovic method (EPM), MPSIAC, quantitatively, watershed

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