Assessment of Soil Erosion and its Relationship with Geomorphic and Vegetation Indices in the Kozeh topraghi Watershed, Ardabil Province

Document Type : Research Paper

Authors

1 Professor of Physical Geography (Geomorphology), University Of Mohaghegh Ardabili, Ardabil, Iran

2 Ph. D Student of Physical Geography (Geomorphology), University Of Mohaghegh Ardabili, Ardabil, Iran

3 M. Sc.in Physical Geography (Geomorphology), University of Mohaghegh Ardabili, Ardabil, Iran

Abstract

Soil erosion is one of the environmental problems that is a threat to natural resources, agriculture and environment, and in this regard, time and place information of soil erosion plays an effective role in management measures, erosion control and watershed management. Therefore, the aim of this research is to investigate the amount of soil erosion in Kozehh Topraghi watershed with the model (RUSLE) and its relationship with vegetation indicators. To achieve the goal of the research, the RUSLE experimental model, which includes R, K, LS, C and P factors, has been used. For this purpose, using the rain gauge data obtained from the Meteorological Organization, the soil texture layer 1:250000 of Iran, the digital model of 30 meters height of Aster and also the satellite image of Landsat 8 OLI have been prepared in the environment of the geographic information system (GIS) and after overlapping layers, the amount of annual soil erosion at the basin level was estimated. In the next step, the geomorphic and vegetation indices that are effective in the occurrence of soil erosion include topographic moisture index (TWI), waterway power index (SPI), domain curvature index (Curvatore), section curvature index (Profil Curvatore), surface curvature index (Plan) Curvatore) and Normal Vegetation Index (NDVI) were created in ArcMap environment and zoning maps were prepared. In line with this, GIS 10.8, ENVI 5.6, Excel, Word software were used to prepare maps as well as analysis. The results of this study showed that the amount of soil erosion for the whole basin was estimated between 0 and 26.63 tons per hectare per year. In another study, the relationship between geomorphic indices and vegetation cover with annual soil erosion rate was conducted, and the results showed that surface curvature indices and normal vegetation cover are the most influential with correlation coefficients of 0.39 and 0.26, respectively, compared to other indices. Also, Curvatore has the least effect with a value of 0.021. Therefore, it is concluded that based on the results obtained from the analysis of parameters related to erosion in the RUSLE model, as well as the indicators used in relation to soil erosion, finally, the surface curvature index and the vegetation index as an influencing factor compared to other parameters have the highest performance in the estimation of watershed soil erosion. The results of this research confirm the possibility of combining effective geomorphic and vegetation indicators on erosion, as well as the possibility of using other effective indicators and RS and GIS capabilities to quantitatively estimate soil erosion values.
 A

Keywords


Abedini, M., Abolfathi, D., Raisi, M (2022). The Ranking of Razan Basin Erosion by Using the Fuzzy Logic, EPM and BLM Model in GIS Environment. Geography and Development, 20(68), 62-86.
Abedini, M., Bahramnia Gojabeiglo, F., Mostafazadeh, R., Pasban, A (2023). Investigating the Effect of Land Use Change on Soil Erosion and Sediment Yield in Razeychay Watershed During Past 20 Years. Journal of Geography, Urban and Regional Studies, 12(45), 114-133.
Abedini, M., Javadi, S., Mostafazadeh, R., & Pasban, A (2022). Relationship of Vegetation and Geomorphic Indices with Erosion and Sediment Rates in Koozeh Topraghi Watershed. Hydrogeomorphology, 9(32), 128-105.
Ahmadi, H. 1388 Applied geomorphology (water erosion), 6th edition, Tehran University Press. 507. [In Persian].
Ammar, A.K., Alaa, m., Fadhil, K., Alzahrani, H., Hamad, S (2023). Predicting Soil Erosion Rate at Transboundary Sub-Watersheds in Ali Al-Gharbi, Southern Iraq, Using RUSLE-Based GIS Model, Sustainability, Vol 15, 1776.
Arnoldus, H.M.J (1980). approximation of the rainfall factor in the Universal Soil Loss Equation M, De Boodt, D. Gabriels (Eds.), Assessment of Erosion, Wiley, Chichester, 127-132.
Aslam, B., Maqsoom, A., Alaloul, W., Musarat, M. A., Jabbar, T., Zafar, A (2010). Soil erosion susceptibility mapping using a GIS-based multi-criteria decision approach: Case of district Chitral, Pakistan, Ain Shams Engineering Journal, Vol 12, No 2, 1637-1649.
Babolimoakher, H., Taghian, A., Shirani, K (2019). Assessment of Landslide Susceptibility Zoning Map Using Confidence Factor-Logistic Regression Hybrid Method By Means of Geomorphometric Indices, Quantitative Geomorphological Research, 7(3): 91-116.
Brini, I., Dimitrios, D., Kalaitzidis, Ch (2021). Linking Soil Erosion Modeling to Landscape Patterns and Geomorphometry: An Application in Crete, Greece, Appl. Sci, Vol 11, No 5684, 1-38.
Chi, W., Wang, Y., Lou, Y., Na, Y., Luo, Q (2022). Effect of Land Use/Cover Change on Soil Wind Erosion in the Yellow River Basin since the 1990s, Sustainability, Vol 14, No 19, 1-16. 
Choudhury, M.K., Nayak, T (2003). Estimation of soil erosion in Sagar Lake catchment of Central India Proc, International Conference on Water and Environment, 387-392.
Dabral, p.p., Baithuri, N., Pandey, A (2008). Soil erosion assessment in a hilly catchment of North Eastern India using USLE, GIS and remote sensing, Water Resources Management, Vol 22, No 12, 1783-1798.
Elsayed, A., Mostafa, A., Farag, O., Ahmad, B., Dmitry, E., Mohamad, S (2023). Integration of RUSLE Model, Remote Sensing and GIS Techniques for Assessing Soil Erosion Hazards in Arid Zones, Agriculture, Vol 13, No 35, 1-19.
Esfandiari Darabad, F., Mostafazadeh, R., Pasban, A. H., Nezafat Takleh, B (2022). Integrating terrain and vegetation indices to estimate and identify the soil erosion risk Amoughin watershed, Ardabil, Journal of Spatial Analysis Environmental Hazards, 9(1): 77-96.
Ghorbani, A., Hezbavi, Z., Mostafazadeh, R., & Alaei, N (2021). Analysis the Relationship between Landscape Metrics and Soil Erosion of Koozeh Topraghi Watershed, Ardabil Province. Journal of Geography and Environmental Hazards, 9(4), 65-91.
Imajjane, L., Belfoul, M., Elkadiri, R., Stokes, M (2020). Soil erosion assessment in a semi arid environment: a case study from the Argana Corridor, Morocco, Environmental Earth’s sciences, Vol 79, 409.
Kelarestaghi, A.A, Ahmadi, H., Jafari, M., & Ghodsi, J (2009). Probabilistic Probabilistic Prediction of land use change from frost to   dry farming using Bayesian Theorem Modeling in Farm Rimdrainge Basin. Pajohesh-Va-Sazandegi, 21(IN NATURAL RESOURCES (SPECIAL ISSUE)), 52-62.
Maleki, S., Khormali, F., & Karimi, A. R (2014). Mapping Soil Organic Matter Using Topographic Attributes and Geostatistic Approaches in Toshan Area, Golestan Province, Iran. Iranian Journal of Soil Research, 28(2), 459-468.
Moore, I.D ., Grayson, R.B (1991). Digital terrain Modeling: A review of hydrological, Geomorphological and Biological application, Hydrol. Vol 5, 3-30.
Motamedirad, M., Zangane Asadi, M. A., Ajam, H (2023). 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, 11(4), 147-165.
Noraei Sefat E, Bakhtyari Kia M, Akbarian M. Investigation of Soil Loss Changes with an Emphasis on Runoff Erosion in the Kol River Catchment. E.E.R. 2023; 13 (1) :70-95.
Olorunfemi, I.E., Komolafe, A.A., Fasinmirin, J.T., Olufayo, A.A. Akande, S.O (2020). A GIS-based assessment of the potential soil erosion and flood hazard zones in Ekiti State, Southwestern Nigeria using integrated RUSLE and HAND models CATENA, Land, Vol 194, 104725.
Pandey, A., Chowdary, V.M., Mal, B.C (2007). Identification of critical erosion prone areas in the small agricultural watershed using USLE, GIS and remote sensing, Water Resources Management, Vol 21, No 4, 729-746.
Qin, Ch. Z., Zhu, A. X., Pei, T., Li, B. L., Scholten, T., Behrens, T., Zhou, CH. H (2009). An approach to computing topographic wetness index based on maximum downslope gradient, Precision Agriculture, Vol 12, No 1, 32-43.
Rejith, R.G., Anirudhan, s (2019). Delineation of Groundwater Potential Zones in hard rock Terrain Using Integrated Remote Sensing GIS and MCDM Techniques A Case Study From Vamanapuram River Basin, Kerala, India, Gis and Geostatistical Techniques for Groundwater science, 349-364.
Renard, K.G. Freidmund, J.R (1994). Using monthly precipitation data to estimate the R-factorin the RUSLE, Journal of Hydrology, Vol 157, 287-306.
Sharma, A (2010). Integrating Terrain and Vegetation Indices for Identifying Potential soil Erosion Risk Area, Geo-Spatial Information Science, Vol 13, No 13, 201-209.
Shin, G.J (1999). The analysis of soil erosion analysis in watershed using GIS. Ph.D. thesis, Department of Civil Engineering, Gang-won National University, 47.
Ugese, A., Ajiboye, J., Ibrahim, E., Gajere, E., Shaba, A (2022). Soil Loss Estimation Using Remote Sensing and RUSLE Model in Koromi-Federe Catchment Area of Jos-East LGA, Plateau State, Nigeria, Geomatics, Vol 2, 499-517.
Vijith, H., Seling, L.W., Dodge-Wan, D (2018). Estimation of soil loss and identification of erosion risk zones in a forested region in Sarawak, Malaysia, Northern Borneo, Environment, Development and Sustainability, Vol 20, No 3, 1365-1384.
Wang, S., Wente, G.Z., Gertner, A (2020). Improvement in mapping vegetation cover factor for the universal soil loss equation by geostatistical methods with Landsat Thematic Mapper images Int. J.Remote Sens,Vol 23, No 18,3649-3667.
Waseem, M., Iqbal, F., Humayun, M., Latif, M., Javed, T., Leta, M (2023). Spatial Assessment of Soil Erosion Risk Using RUSLE Embedded in GIS Environment: A Case Study of Jhelum River Watershed, Applied sciences, No 13: 1-16.
Whittington, D (2022). Improving the Performance of Contingent Valuation Studies in Developing Countries, Environ. Resour. Econ, No 22, 323-367.
Wischmeier, W.H., and Smith, D.D (1978). Predicting rainfall erosion, losses: a guide to conservation planning, United States Department of Agriculture Handbook, Washington DC, Vol 537, 13-27.
Zakeri, R., & Falah, S (2023). Evaluation of Water Erosion Hazard Map Using the Combination of the RUSLE Model and Gully Erosion Density Map in Alamarvdasht Watershed of Fars Province, Iran. Quantitative Geomorphological Research, 11(4), 189-209.
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), 401-415.