برآورد فرسایش خاک با استفاده از مدل‌های MPSIAC و RUSLE و روش تحلیل منطقه‌ای در حوزه آبخیز سد چشمه عاشق، نیریز، استان

نویسندگان
1 اداره کل منابع طبیعی و آبخیزداری استان فارس
2 استادیار بخش تحقیقات حفاظت خاک و آبخیزداری، مرکز تحقیقات، آموزش کشاورزی و منابع طبیعی استان فارس.
3 دانش‌آموخته کارشناس ارشد خاک‌شناسی، مهندسین مشاور پورآب.
چکیده
سدهای ذخیره­ای آب به‌عنوان سازه‌­های راهبردی هر کشور به شمار می­آیند. یکی از مسائلی که همواره در خصوص این‌گونه سدها مطرح است، موضوع فرسایش خاک در حوزه آبخیز آن­‌ها و انتقال رسوب ایجادشده به مخزن سدها می­باشد. سد چشمه عاشق نی­ریز در استان فارس، یکی از این سدهاست. به­منظور سیاست‌گذاری و برنامه‌­ریزی در راستای حفاظت خاک در حوزه آبخیز این سد و جلوگیری از تولید و انتقال رسوب به مخزن آن، مطالعات فرسایش و رسوب و برآورد آن‌­ها به‌منظور طراحی و اجرای اقدامات حفاظتی مناسب برای اولین بار در این حوزه آبخیز با مدل­‌های RUSLE و MPSIAC و هم‌چنین روش تحلیل منطقه‌­ای انجام گردید. نتایج این پژوهش نشان داد، بر اساس مدل­‌های MPSIAC  و  RUSLE میزان رسوب ویژه به ترتیب 1/58 و 3/17 تن در هکتار در سال برآورد شده است. با توجه به اینکه نتیجه به‌دست‌آمده از روش تحلیل منطقه‌­ای بر مبنای ایستگاه گوزون میزان رسوب ویژه 3/5 تن در هکتار در سال برآورد گردیده ­است، می‌­توان نتیجه گرفت برآورد به‌دست‌آمده از مدل RUSLE به میزان محاسبه‌شده از روش تحلیل منطقه­‌ای نزدیک­تر است. ازاین‌رو، می­توان گفت برای برآورد میزان رسوب و اقدامات حفاظت خاک آتی در حوزه آبخیز سد چشمه عاشق، نتایج به‌دست‌آمده از مدل RUSLE نسبت به مدل MPSIAC از کارآمدی بیش‌تری برخوردار است.
کلیدواژه‌ها

عنوان مقاله English

Estimation of Soil Erosion Using MPSIAC, RUSLE Models and Regional Analysis Method in the Watershed of Cheshme Ashegh Dam, Neyriz, Fars Province

نویسندگان English

hassan moghim 1
S.M. Soleimanpour 2
M. Mohseni 3
1 General office of natural resources and watershed management of Fars province
چکیده English

Water storage dams are considered as strategic constructions of every country. The issue of soil erosion in the watershed of the mentioned dams and the transfer of produced sediment to the reservoir of the dams is one of the issues that is always raised regarding these types of dams. Cheshme Ashegh dam in Fars province is one of the mentioned dams. In the present study, erosion and sediment studies and estimation has been carried out for the first time in this watershed by RUSLE and MPSIAC models as well as the regional analysis method for the aim of design and implementation of suitable conservation measures as well as making policy and plan for soil conservation in the watershed of the dam and preventing the production and transfer of sediment to its reservoir. The results of this research showed that, based on the MPSIAC and RUSLE models, the amount of special sediment is estimated by 1.58 and 3.17 ton/ha/y, respectively. Considering that the result obtained from the regional analysis method based on Gozoon station, the amount of special sediment is estimated by 3.5 ton/ha/y, it can be said that the result of the estimation obtained from the RUSLE model is closer to the amount calculated from the regional analysis method. Therefore, it can be said that the results obtained from the RUSLE model are more efficient than the MPSIAC model for estimating the amount of sediment and future soil conservation measures in the Cheshme Ashagh Dam watershed.

کلیدواژه‌ها English

Erosion model
Model efficiency
Sediment delivery ratio
Sediment yield
Universal soil loss equation
  1. Allafta, H., and Opp, CH. 2022. Soil erosion assessment using the RUSLE model, remote sensing and GIS in the Shatt Al- Arab basin (Iraq-Iran). Journal of Applied Sciences, (27):15-27.
  2. Arekhi, S., Barani, H., and Emadodin, S. 2022. Zoning Erosion Hazard and Sediment Estimation in Cham Gardalan basin (Ilam province) using the Revised Universal Soil Erosion Equation (RUSLE). Journal of Natural Environmental Hazards. 11 (34): 15-29 (In Persian).
  3. Arekhi, S., and Barani, H. 2022. Comparison of EPM and RUSLE models in estimating erosion and sediment production using GIS (Case study: Chamgardalan basin of Ilam province). Journal of Natural Environmental Hazards, (38): 22-33. (In Persian)
  4. Asadi, H., Honarmand, M., Vazifedoust, M., and Mousavi, A. 2017. Assessment of changes in soil erosion risk using RUSLE in Navrood watershed, Iran. Journal of Agr. Sciences Technology, (19):14-22. (In Persian)
  5. Efthimiou, N., Lykoudi, E., and Karavitis, C. 2014. Soil erosion assessment using the RUSLE model and GIS. Journal of European water, (47):15-26.
  6. Ganasri, B.P., and Ramesh, H. 2016. Assessment of soil erosion by RUSLE model using remote sensing and GIS- a case study of Nethravathi basin. Journal of Geoscience frontiers, (7):8-20.
  7. Harmon, R.S., and Doe, W.W. 2001. Landscape erosion and evolution modeling: Spring Science and Business Media. 1- 540.
  8. Jonson, C.W., and Gebhardt, K.A. 1982. Predicting sediment yields from rangelands. In proceedings of work shape on estimating erosion and sediment yield on rangelands, Tucson, Arizona, March 1981 US department of Agriculture, Agriculture Reviews and Manuals, Western Series. 26(1):2-15.
  9. Korala, P., Thakuri, S., Joshi, S., and Chauhan, R. 2019. Estimation of soil erosion in Nepal using a RUSLE modeling and geospatial tool. Journal of Geosciences, (9):15-25.
  10. Le Roux, J.J., Morgenthal, T.L., Malherbe, J., Pretorius, D.J., and Sumner, P.D. 2008. Water erosion prediction at a national scale for South Africa. Water SA. 34(3):10-25.
  11. Mezbani, M., Rezaei Moghadam, M.H., and Hejazi, A. 2021. Assessment of soil erosion risk in land uses using Revised Universal Soil Loss Equation (Case Study: Sikan Basin). Journal of geography and environmental hazards, 10(1): 41-63. (In Persian)
  12. Mohammadi, S., Karimzadeh, H., Alizadeh, M. 2018. Spatial estimation of soil erosion in Iran using RUSLE model. Journal of Ecohydrology. 5(2):18-30.
  13. Motamedirad, M.,  Zangane Asadi, M.A.,  Ajam, H. 2021. Investigating the rate of soil erosion and sediment production using the RUSLE model and the modified method PSIAC (case study: kal basin of Ismail, Shahrood city, Semnan province). Quantitative Geomorphological Research Journal. (In Persian)
  14. Motiei langroudi, Sh. 2017. Economic geography of Iran. Jahad publicztyons. 4th edition, 384 p. (In Persian)
  15. Noor, H., Arabkhedri, M. 2023. Prediction of soil erosion and sediment delivery ratio using RUSLE at Sanganeh soil conservation research station. Journal of Water and Soil Management and Modeling, (In Persian), 3(1):11-24.
  16. Refahi, H. 2015. Water erosion and its control. University of Tehran press.7th edition.674 P. (In Persian).
  17. Renard, K.G., Foster, G.R., Weesies, G.A., and Porter, J.P. 1991. RUSLE: Revised universal soil loss equation. Journal of soil and Water Conservation, 46(1): 3-25.
  18. Sadeghi, H. 1993. Comparison of some erosion Potential and sediment yield assessment models in Ozon-Dareh sub catchment. In proceedings of the National Conference on Land Use Planning, Tehran. Iran.41-75.
  19. Sidi Almouctar, M.A., Wu, Y., Zhao, F., and Dossou, J.F. 2021. Soil erosion assessment using the RUSLE model and geospatial techniques (Remote sensing and GIS) in South – Central Niger (Maradi Region). Journal of Water, (13):15-28.
  20. Teng H, Rossel, RA, Shi Z, Behrens T,Chappell A, and Bui E. 2016. Assimilating satellite imagery and visible-near infrared spectroscopy to model and map soil loss by water erosion in Australia. Environmental Modelling & Software.77 (1):156-167.
  21. Teimouri, F., and Bazrafshan, O. 2017. Comparison of the efficiency the RUSLE and EPM model in estimating soil erosion and sediment yield according to the sediment rating curve (case study: Jask – Gabrik watershed). Journal of New finding in applied geology. 12(23):13-24 (In Persian).
  22. Van Remortal, R.D., Maichle, R.W., and Hickey, R.J. 2004. Computing the LS factor for the Revised Universal Soil Loss Equation through array-based slope processing of digital elevation data using C++ executable. Com putters and Geosciences. 30(1):11-23.
  23. Zabihi Silabi, M., and Khaledi Darvishan, A. 2021. Qualitative evolution of IntErO, EPM, MPSIAC and RUSLE models in order to select the optimal models for different conditions for description of detailed executive watershed management services. Journal of Extension and Development of Watershed Management, 9(32):17-28. (In Persian)