Efficiency Evaluation of RUSLE and ‌ICONA models in erosion zoning of Baladeh watershed, Mazandaran province

Document Type : Original Article

Authors

1 Associate Professor of Geomorphology, University of Mazandaran, Babolsar, Iran

2 M.A. of Hydrogeomorphology, University of Mazandaran, Babolsar, Iran

Abstract

Evaluation and zoning of soil erosion using models that are more accurate, helps to implement conservation ­­activities and control soil erosion within the watershed and reduce the amount of sediment outside it.­ The aim of this study was to zoning the soil erosion intensity of Baladeh watershed using ­­RUSLE and ICONA models and toa investigate their accuracy with observations and terrestrial reality values. RUSLE model factors including rainfall erosion (R), soil erodibility (K), topography (LS), vegetation (C) and conservation operations (P) were calculated from rainfall data, soil map, digital elevation model and remote sensing techniques, respectively. In ICONA model, soil erodibility map was obtained by combining two layers of slope and rock surfaces. Then, in order to prepare soil conservation layer, vegetation index and land use layers of the area were overlapped and by combining erosion and soil conservation layers, erosion zoning map was prepared with this model. The accuracy of these models was evaluated using statistical indices and BLM method, all of which were obtained during field observations. For this purpose, a map with 2500 points was prepared as regular networking for sampling the maps obtained from the models and accordingly, RMSE statistics (root mean squares error), MAE (mean absolute error), MSE (mean squares error) and NSEC (Nash-Sutcliffe Model Efficiency Coefficient) were calculated. The results of the mentioned statistical indices and the errors of the models shows that the mentioned models are not sufficient in baladeh watershed, but the efficiency and degree of adaptation of the erosion classes of ICONA model with BLM output as reference map is higher, because the amount of RMSE, MAE and MSE is lower and NSEC is closer to number one.

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Main Subjects

References

References (in Persian)
Arekhi, S., Niazi, Y., (2010); Investigating application of GIS and RS to estimate Soil Erosion and Sediment Yield Using RUSLE (Case study: Upper part of Ilam Dam Watershed, Iran). Journal of Water and Soil Conservation, 17(2), pp 1-27.
https://www.sid.ir/fa/journal/ViewPaper.aspx?id=150565 [In Persian]
Ahmadabadi, A., Sedighifar, Z., (2017); Estimation of erosion and sediment production using global    modified soil erosion equation (RUSLE) in Hablehroud basin. Physical Geography Quarterly, 10(37), pp 83-103.
http://jopg.iaularestan.ac.ir/article_538238.html?lang=fa [In Persian]
Babaei, M., Hosseini, S., Nazari Samani, A., Almodaresi, S., (2016); Assessment of soil erosion using RUSLE 3D, case study: Kan ‎Watershed. Watershed Engineering and Management, 8(2), pp 165-181.
https://jwem.areeo.ac.ir/article_106454.html?lang=fa [In Persian]
Bayat, R., Arabkhedri, M., Behnam, N., Gerami, Z., (2020); Performance evaluation of EPM and MPSIAC Models for determination of Erosion Status of Shahriari Watershed. Jsaeh, 7 (3), pp 1-16.
https://jsaeh.khu.ac.ir/article-1-3067-fa.html [In Persian]
Entezari, M., Khodadadi, F., (2017); Taleghanrood Watershed Soil Erosion Risk Assessment Model ICONA. Journal of Natural Environmental Hazards, 6(13), pp 31-48. https://jneh.usb.ac.ir/article_3142.html [In Persian]
Esmaeili Gholzom, H., Ahmadi, H., Moeini, A., Motamed Vaziri, B., (2021); Assessment of soil erosion risk in Kesilian watershed with ICONA model and by using GIS&RS techniques. Researches in Earth Sciences, 42.
https://esrj.sbu.ac.ir/?_action=xml&article=100753 [In Persian]
Esmali, A., kavian, A., jafarian, Z., Kavianpoor, A., (2015); Effect of vegetation covers on decreasing runoff and soil loss using rainfall simulation in Nesho rangeland, Mazandaran province. Geography and Environmental Planning, 26(2), pp 179-190.
https://gep.ui.ac.ir/article_18734.html?lang=fa [In Persian]
Erfanian, M., Ghaharahmani Saatloo, P., Saadat, H., (2015); Assessment of Soil Erosion Risk using a Fuzzy Model in Gharnaveh Watershed, Golestan. Journal of Water and Soil Conservation, 21(6), pp 135-154.
https://jwsc.gau.ac.ir/article_2284.html [In Persian]
Erfanian, M., Ghaharahmani, P., Saadat, H., (2014); Preparation of soil erosion potential hazard map using fuzzy logic in Golestan Garnaveh watershed, Iran-Watershed Management. Science & Engineering, 7 (23), pp 43-52.
https://jwmsei.ir/article-1-280-fa.html [In Persian]
Faridi, P., Rezaee, P., Kazemi, M., (2013); Application of GIS in Modeling Rainfall Erosivity Factor (Case Study: Gabric Watershed- Hormozgan Province East South).  Environmental Erosion Research Journal, 3 (2), pp 39-51.
https://jwmsei.ir/article-1-280-fa.html [In Persian]
Kargar, M., Javadi, M. R., Hashemi, S. A. A., Maryam, M. E., (2016); Efficiency of USLE and some it's Variations for Storm-Wise Sediment Yield in Semi-arid Ranges) Case Study: Margsar Anistitiue of Semnan. Journal of Watershed Management Research, 7 (13), pp 271-263. http://jwmr.sanru.ac.ir/article-1-677-fa.html [In Persian]
Mohammadi, M., Fallah, M., Kavian, A., Gholami, L., Omidvar, E., (2016); The Application of RUSLE Model in Spatial Distribution Determination of Soil loss Hazard. Iranian journal of Ecohydrology, 3(4), pp 645-658.  https://ije.ut.ac.ir/article_60368.html [In Persian]
Mohammadi, S., Karimzadeh, H., Alizadeh, M., (2018); Spatial estimation of soil erosion in Iran using RUSLE model. Iranian journal of Ecohydrology, 5(2), pp 551-569. https://ije.ut.ac.ir/article_65857.html?lang=fa [In Persian]
Nohegar, A., Kazemi, M. (2014). Evaluation of Water Erosion with ICONA Model. Geographical Researches, 28 (4), pp 1-14. http://georesearch.ir/article-1-428-fa.html [In Persian]
Rahimi, KH., Mezbani, M., (2013); Evaluation of Sivand Basin Erosion by RUSLE Model During 1998 to 2009. Environmental Erosion Researches, 3 (1), pp 1-18. http://magazine.hormozgan.ac.ir/article-1-129-fa.html [In Persian]
Rokhbin, M., Nohegar, A., Kamali, A., Habibollahian, M., (2014); Evaluating the Amount of Erosion and Sediment in Lavarefin Watershed (Hormozgan Province) By Using Remote sensing (RS), Geographic Information System (GIS), and Empirical Model (RUSLE). GeoRes, 29 (3), pp 89-104. http://georesearch.ir/article-1-348-fa.html [In Persian]
Sepehr, A., Honarmandnejad, S., (2012); Actual Soil Erosion Risk Mapping Using Modified CORINE Method (Case Study: Jahrom Basin). Journal of Geography and Environmental Hazards, 1 (3), pp 57-72.
https://geoeh.um.ac.ir/index.php/article_25831.html [In Persian]
Zandi, J., Habibnejad Roshan, M., Solaimani, K., (2013); Soil erosion risk assessment and its relationship with some environmental parameters (Case study: Vazroud watershed, Mazandaran). Journal of Range and Watershed Managment, 66(3), pp 401-415. https://jrwm.ut.ac.ir/article_36516.html [In Persian]
 
References (in English)
Bagio, B., Bertol, I., Wolschick, N.H., Schneiders, D., Santos, M.A.d.N.d., (2017); Water Erosion in Different Slope Lengths on Bare Soil. Revista Brasileira de Ciência do Solo, 41p.  https://doi.org/10.1590/18069657rbcs20160132 
Bayramin, I., Dengiz, O., Baskan, O and Parlak, M., (2003); Soil Erosion Risk Assessment with ICONA Model, Case Study: Beypazari Area. Turkish Journal of Agriculture and Forestry For 27, pp 105-116.
 https://journals.tubitak.gov.tr/agriculture/abstract.htm?id=6170
Farhan, Y., Nawaiseh, S., (2015); Spatial assessment of soil erosion risk using RUSLE and GIS techniques.  Environmental Earth Sciences. 74(6), pp 4649-4669. https://link.springer.com/article/10.1007/s12665-015-4430-7
Ganasri, B.P., Ramesh, H., (2016); Assessment of soil erosion by RUSLE model using remote sensing and GIS - A case study of Nethravathi Basin. Geoscience Frontiers, 7(6), pp 953-961.
 https://www.sciencedirect.com/science/article/pii/S1674987115001255
Guo, Y., Xion, Y., (2017); Comparison of the implementation of three common types of coupled CFD-DEM model for simulating soil surface erosion. International Journal of Multiphase Flow, 91, 89-100.
https://doi.org/10.1016/j.ijmultiphaseflow.2017.01.006
Jahun, B, G. Ibrahim, R. Dlamini, N, S. Musa, S.M., (2015); Review of Soil Erosion Assessment using RUSLE Model and GIS. Journal of Biology, Agriculture and Healthcare, 5(9), pp 36-47.
https://www.iiste.org/Journals/index.php/JBAH/article/view/22312
Kavuc Kalashami, H., Kheirkhah Zarkesh, M., Almodaresi, S. A., (2014); Water erosion risk assessment using models ICONA and techniques RS & GIS (case study catchment basin Babavly of Siahkal). International Journal of Forest, Soil and Erosion, 4(3), pp 69-81.  https://www.ijfse.com/index.php/8-archive/32-volume-4-number-3-august-2014
Kouhpeima, A., Hashemi, S. A. A., Feiznia, S., (2011); A study on the efficiency of Erosion Potential Model (EPM) using reservoir sediments. Elixir Pollution, 38, pp 4135-4139. DOI: 10.14256/JCE.1602.2016
Moore, I. D., Wilson J. P., (1992); Length-slope factors for Revised Universal Soil Loss Equation. Simplified method of estimation. Journal of soil and water conservation, 47(5), pp 423- 428.
https://www.researchgate.net/publication/279600630
Pongsai, S., Schmidt, D.V. Rajendra, P. Shestha, R. Clemente S., Eiumnoh, A., (2010); Calibration and Validation of the Modified Universal Soil Loss Equation for Estimating Sediment Yield on Sloping Plots: A Case Study in Khun Satan Cachment of northern Thailand. Canadian Journal of Soil Sciences, 90(4), pp 585- 596.
https://www.researchgate.net/publication/258705248
Reis, m., Dutal, H., Bolat, N., Savac, G., (2017); Soil Erosion Risk Assessment Using GIS and ICONA: A Case Study in Kahramanmaras, Turkey. Journal of Agricultural Faculty of Gaziosmanpasa University. 34(1), pp 64-75.
 https://www.cabdirect.org/cabdirect/abstract/20183174459
Thapa, P., (2020); Spatial estimation of soil erosion using RUSLE modeling: a case study of Dolakha district, Nepal. Environmental Systems Research, 9(15), pp 1-10.
https://environmentalsystemsresearch.springeropen.com/articles/10.1186/s40068-020-00177-2
Wischmeier, W. H., Smith, D. D., (1978); Predicting rainfall erosion. losses: a guide to conservation planning. US Department of Agriculture, Washington, DC, Agriculture Handbook, 67p.
Journal of Natural Environmental Hazards
Volume 11, Issue 34 - Serial Number 4
December 2022
Pages 159-178

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History

  • Receive Date: 17 September 2021
  • Revise Date: 18 March 2022
  • Accept Date: 16 April 2022

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