Document Type : Research Article
Authors
- S.H.R. Sadeghi 1
- M. Kalehhouei 2
- A. Noori 2
- N. Naderi Marangelu 2
- M. Havasi 2
- A. Payfeshoordeh 2
- M. Khairparast 2
- S. Mostafaei Younjali 2
- Z. Pirooznia 2
- M. Hamzeh Bibalani 2
1 Department of Watershed Management Engineering, Faculty of Natural Resources, Tarbiat Modares University, Noor 46417-76489, Iran
2 Department of Watershed Management Engineering, Faculty of Natural Resources, Tarbiat Modares University
Abstract
Introduction
Soil erosion is considered as one of the critical threats to the conservation of water and soil resources. However, until now, its various components, including its spatial changes, have yet to be given due attention. In order to implement soil erosion control and conservation programs in the watershed, it is essential to have basic information leading to know and accurately identify the factors affecting the degradation of soil and water resources. Meanwhile, the CORINE model has been considered as one of the practical models for estimating soil erosion and displaying the spatial distribution of soil erosion with easy and accessible inputs. The CORINE model developed based on the Universal Soil Loss Equation (USLE) was therefore employed in the present study in the GIS environment to determine the potential and actual erosion risks of the Brimvand Watershed in Kermanshah Province, Iran.
Materials and Methods
The main associated factors of soil erosion, viz. soil erodibility and erosivity, such as slope, vegetation, depth, texture, and percentage of gravel, were collected, compiled, and ultimately classified in the ArcGIS software. The Fournier index (FI) and FAO-UNEP drought index (DI) were used to prepare the input maps. The Fournier index reflects the performance of the soil erosive agent. In other words, it shows the role of rainfall on soil erosion. The FAO-UNEP drought index shows the simultaneous performance of evaporation and precipitation on soil erosion of a region. The potential soil erosion risk was obtained by combining slope, erodibility, and erosivity layers. In addition, the actual soil erosion risk map was determined by combining the vegetation map and potential soil erosion risk.
Results and Discussion
Based on the results of the vegetation distribution in the region, the use of rainfed and abandoned lands had the largest area in the watershed, with an occupation percentage of 65.48%. Furthermore, the rangeland and forest areas, with respective coverage of 29.65 and 4.87%, stood in the second and third priority from the viewpoint of the area. The region has varying slopes, but more importantly, it has a low slope. Soil texture, depth, and gravel content significantly affect the area's erosion. The soil depth in a large part of the watershed, especiallywith a slope of less than 4% is more than 65 cm where it is mainly covered by abandoned and rainfed lands. In the studied area, the depth of the soil decreases with height increase, which indicates that the high slopes of the area are dominantly outcrops. Most of the area has gravel contents between 10 and 40%. The erosion potential of the region is not that much high because of the desired features of the affecting factors. According to the potential soil erosion risk, it was determined that about 65.57, 23.62, and 10.81% of the area were classified as intermediate, low, and high erosion potential, respectively. Further, the actual soil erosion risk was categorized as low, intermediate, and high with respective areal coverage of 53.83, 15.53, and 30.64%. It is therefore implied that the amount of erosion and sediment transfer will increase if the land cover in the watershed is declined. This indicates that the erosion rate was highest in hilly areas due to lack of vegetation and soil with loamy texture. Accordingly, to curb soil erosion and prevent its associated adverse effects in the Brimvand watershed, it is strongly suggested to use lands based on their capability and potential, maintain the present cover status, and carry out management plans to restore vegetation.
Conclusion
Soil erosion remains one of the most critical challenges in watersheds, and its neglect can lead to various problems for the beneficiaries. In light of this, the present study aimed to address this issue by employing the CORINE model to assess potential and actual soil erosion in the Brimvand Watershed of Kermanshah Province, Iran. The research findings reveal the pivotal role of vegetation in mitigating soil erosion. Notably, areas with gentle slopes, which are inherently susceptible to erosion, benefit significantly from vegetation cover, leading to a noticeable reduction in erosion. However, the loss of this protective cover can trigger a rapid increase in soil erosion and subsequent loss of valuable soil resources. By shedding light on the spatial distribution of soil erosion, this study emphasizes the importance of preserving and promoting vegetation in the watershed to ensure its long-term sustainability and safeguard the well-being of those who depend on it. Therefore, land utilization should be planned based on capacity and potential of the land to curb erosion and avoid its detrimental impacts in the Brimvand Watershed. In addition, not only the current cover situation has to be maintained but also the vegetation conditions have to be improved through the implementation of managerial and reclamation plans leading to managing soil erosion.
Keywords
Main Subjects
- Aldabaa, A.A. (2020). Spatial soil erosion risk assessment using CORINE model: a case study in wadi el-Raml Watershed, north western coast, Plant Archives, 20(1), 705-714.
- Akbari, M., Ownegh, M., Asgari, H., Sadoddin, A., & Khosravi, H. (2016). Soil errosion risk assessment using the CORINE model (Case study: Semi-arid region in Golestan province). Desert Ecosystem Engineering, 5(12), 63-78. (In Persian with English abstract)
- Akbari, M., Neamatollahi, E., Noughani, M.A., & Memarian, H. (2022). Spatial distribution of soil erosion risk and its economic impacts using an integrated CORINE-GIS approach. Environmental Earth Sciences, 81(10), 1-17. https://doi.org/10.1007/s12665-022-10405-w
- Amanpour, , Abiyat, M., Abiyat, M., & Abiyat, M. (2022). Investigation of the effect of land use change on soil erosion and sediment production in Ramhormoz basin using object-oriented classification and RUSLE model. Iranian Journal of Soil and Water Research, 52(3), 635-649. (In Persian with English abstract). https://doi.org/10.22059/ijswr.2021.316628.668863
- Arabkhedri, M., Shadfar, S., Ardakani, A.J., Bayat, R., Khajavi, E., & Mahdian, M.H. (2018). Improving water erosion estimates for Iran. Whatershed Management Research, 13(3), 13-27. (In Persian with English abstract)
- Asghari Saraskanrood, S., Khodabandelo, B., Naseri, A., & Moradi, A. (2019). Extracting land use map based on a comparison between Pixel-Based and object-oriented classification methods case study: Zanjan city. Sepehr, 28(110), 195-208. (In Persian with English abstract)
- Aydın, A., & Tecimen, H.B. (2010). Temporal soil erosion risk evaluation: a CORINE methodology application at Elmalı dam watershed, Istanbul. Environmental Earth Sciences, 61(7), 1457-1465.
- Ayubi, Sh., & Jalalian, A. (2010). Land evaluation, Isfahan University of Technology Publications, page 89. (In Persian with English abstract)
- Bashir, S., Baig, M.A., Ashraf, M., Anwar, M.M., Bhalli, M.N., & Munawar, S. (2013). Risk assessment of soil erosion in RAWAL Watershed using geoinformatics techniques, Science International (Lahore), 25(3), 583-588.
- Borrelli, P., Alewell, C., Alvarez, P., Anache, J.A.A., Baartman, J., Ballabio, C., Bezak, N., Biddoccu, M., Cerda, A., Chalise, D., Chen, S., Chen, W., MariaDe Girolamo, A., DestaGessesse, G., Deumlich, D., Diodato, N., Efthimiou, N., Erpul, G., Fiener, P., Freppaz, M., & Panagos, P. (2021). Soil erosion modelling: A global review and statistical analysis. Science of the Total Environment, 780, 146494.
- CORINE (1992). CORINE: soil erosion risk and important land resources in the Southeastern regions of the European community. EUR 13233, Luxembourg, Belgium, 32–48.
- Dengiz, O., & Akgül, S. (2005). Soil erosion risk assessment of the Gölbaşı environmental protection area and its vicinity using the CORINE model. Turkish Journal of Agriculture and Forestry, 29(6), 439-448.
- El-Nady, M.A., & Shoman, M.M. (2017). Assessment of soil erosion risk in the basin of Wadi Maged in northern west coast of Egypt using CORINE model and GIS techniques. Egypt. Journal of Soil Science, 57(1): 31–45.
- Entezari, M., & Gholam Heydari, H. (2014). Comparing the two models SLEMSA and Corine in the assessment of soil erosion. The Journal of Spatial Planning, 18(3), 1-20. (In Persian with English abstract)
- Ekhtesasi, MR., & Sepehr, A. (2012). Methods and models of desertification assessment and mapping, Yazd University Press, first edition, 290p. (In Persian with English abstract)
- Evrendilek, F., Berberoglu, S., Gulbeyaz, O., & Ertekin, C. (2007). Modeling potential distribution and carbon dynamics of natural terrestrial ecosystems: a case study of Turkey. Sensors, 7(10), 2273-2296.
- Esfandiari, M., Moeini, A., & Moqadasi, R. (2014). Effect of land use and vegetation on erosion forms and sediment production (Case Study: Watershed Vers Qazvin province). 11(42): 51-62. (In Persian with English abstract)
- Faleh Giri, M., Talebi, A., Dasturani, M., & Rangavar, A.S. (2011). Investigation of efficiency of rangeland hydrology and erosion model (RHEM) in water erosion (Case study: Sangane watershed-Iran). Journal of Watershed Management Research, 2(4), 29-43. (In Persian with English abstract)
- Jalili, KH., Sadeghi, S.H.R., & Nikkami D. (2006). Land use optimization of watershed for soil erosion minimization using linear programming (a case study of Brimvand Watershed, Kermanshah Province). Water and Soil Science (Journal of Science and Technology of Agriculture and Natural Resources), 10(4), 15-27. (In Persian with English abstract)
- Jordan, G., Van Rompaey, A., Szilassi, P., Csillag, G., Mannaerts, C., & Woldai, T. (2005). Historical land use changes and their impact on sediment fluxes in the Balaton basin (Hungary). Agriculture, Ecosystems & Environment, 108(2), 119-133.
- Giordano, A. (2009). The CORINE project on soil erosion risk and land quality. Land Use, Land Cover and Soil Sciences, 3, 144.
- Gurebiyaw, K., Addis, H.K., & Teklay, A. (2018). Assessment of spatial soil erosion susceptibility based on the CORINE model in the Gumara-Maksegnit Watershed, Ethiopia. Journal of Natural Resources and Development, 8, 38-45.
- Heydari, M., Zahmatkesh Maromi, H., & Karam, A. (2022). Soil erosion hazard Zonation using SLEMSA model in the Ziarat catchment. Researches in Earth Sciences, 12(4), 50-67. (In Persian with English abstract)
- Kalehhouei, M., Zabihi Seilabi, M., Sadeghi, P.S., Khaledi Darvishan, A., spalovich, V., & Sadeghi, S.H.R. (2019). Application of the IntEro model for soil erosion estimation in the Shazand Watershed, Markazi Province, Iran. The 15th National Watershed Science and Engineering Conference, Sari, Iran. (In Persian with English abstract)
- Karimi, Z., Sadoddin, A., & Sheikh, V. (2022). Effects of watershed management practices on the quadric services of Chehel-Chai Watershed, Golestan Province. Water and Soil Management and Modelling, 2(4), 18-36. (In Persian with English abstract)
- Kiani Harchegani, M., Saeidi, P., & Sadeghi H.R. (2018). Analysis of Rating Loops of interrill erosion on Consecutive Storms under Laboratory Conditions. Iranian Journal of Soil and Water Research, 49(2), 293-302. (In Persian with English abstract)
- Khallouf, A., Talukdar, S., Harsányi, E., Abdo, H.G., & Mohammed, S. (2021). Risk assessment of soil erosion by using CORINE model in the western part of Syrian Arab Republic. Agriculture and Food Security, 10(1), 1-15.
- Kucsicsa, G., Popovici, E.A., Bălteanu, D., Grigorescu, I., Dumitraşcu, M., & Mitrică, B. (2019). Future land use/cover changes in Romania: regional simulations based on CLUE-S model and CORINE land cover database. Landscape and Ecological Engineering, 15(1), 75-90. https://doi.org/10.18509/GBP.2020.93
- La Licata, M., Bosino, A., Bettoni, M., & Maerker, M. (2023). Assessing landscape features and geomorphic processes influencing sediment dynamics in a geomorphologically highly active Mediterranean agroecosystem: The upper Val d'Arda case study (Northern Apennines, Italy). Geomorphology, 433, 108724.
- Mingarro, M., & Lobo, J.M. (2023). European national Parks protect their surroundings but not everywhere: A study using land use/land cover dynamics derived from CORINE Land Cover data. Land Use Policy, 124, 106434. https://doi.org/10.1016/j.landusepol.2022.106434
- Mohammadi, Sh., Karimzadeh, H.R., & Habashi, Kh. (2016). Assessment of soil erosion risk using CORINE model, case study: Manderjan area, west of Isfahan. The 1st international Conference on Geographical Information System, Silk Road, Isfahan. (In Persian with English abstract)
- Mohammadi, S., Karimzadeh, H., Habashi, K. (2018). Assessment soil erosion and deposition in the Menderjan watershed using USPED and RUSLE models in the environment of geographical information system (GIS). Desert Ecosystem Engineering, 6(17), 43-56. (In Persian with English abstract)
- Mohammadi, S., Balouei, F., Haji, K., Khaledi Darvishan, A., & Karydas, C.G. (2021). Country-scale spatio-temporal monitoring of soil erosion in Iran using the G2 model. International Journal of Digital Earth, 14(8), 1019-1039.
- Mokhtari, D., Ebrahimy, H., & Salmani, S. (2019). Land subsidence susceptibility modeling using random forest approach (Case study: Tasuj plane catchment). Journal of RS and GIS for Natural Resources, 10(3), 93-105. (In Persian with English abstract)
- Motalebnejad, A., Jamali, A.K., Hasanzadeh, M., & Dashtakian, K. (2016).WSM Model Optimization in Soil Erosion and Sediment Estimating, by Coefficient Modifying and using Rainfall Simulator in Nir Watershed-Yazd Province. Journal of Watershed Management Research, 6(12), 82-89. (In Persian with English abstract)
- Najafi, S., Sadeghi, S.H.R, & Heckmann, T. (2021). Analysis of sediment accessibility and availability concepts based on sediment connectivity throughout a watershed. Land Degradation & Development, 32(10), 3023-3044. https://doi.org/10.1002/ldr.3964
- Nikkami, D. (2002). Optimizing the management of soil erosion in Damavand watershed. Pajouhesh-VA-Sazandegi, 54, 82-89. (In Persian with English abstract)
- Quinton, J. N., Govers, G., Van Oost, K., & Bardgett, R.D. (2010). The impact of agricultural soil erosion on biogeochemical cycling. Nature Geoscience, 3, 311–314.
- Rahmani, A., Haqizadeh, A., Tahmasabpour, N., & Zainivand, H. (2017). Introduction of USPED and G2 erosion models with the ability to estimate the amount of soil erosion in different time frames for watershed management. The 13th National Watershed Science and Engineering Conference and the 3rd National Conference on Protection of Natural Resources and Environment with the focus on watershed management and protection of natural resources and environment, Ardabil. (In Persian with English abstract)
- Rahmati, S., Javadi Tabalvandani, M.R., Rangavar, A.S., & Faramarz, Z. (2014). Evaluating of efficiency and accuracy of USLE, AOF, MUSLE-S and MUSLE-E models on estimating of event-based erosion amount (Case study: Sanganeh Soil Conservation Research Institute of Mashhad). Journal of Water and Soil Conservation, 21(4), 215-229. (In Persian with English abstract)
- Sadeghi, S.H.R. (2007). Analysis of the relationship between erosion and soil hydrophobicity. Proceedings of the 10th Iranian Congress of Soil Sciences, Tehran University of Agriculture and Natural Resources, Karaj, 26-27 (In Persian with English abstract)
- Sadeghi, S.H.R., Mizuyama, T., Miyata, S., Gomi, T., Kosugi, K., Fukushima, T., Mizugaki, S., & Onda, Y. (2008). Determinant factors of sediment graphs and rating loops in a reforested watershed. Journal of Hydrology, 356(3-4), 271-282.
- Sadeghi, S.H.R. (2010). Study and measurement of water erosion. Publications of Tarbiat Modares University. 200 p. (In Persian with English abstract)
- Sadeghi, S.H.R., Jalili, Kh., & Nikkami. D. (2009). Land use optimization in watershed scale. Land Use Policy, 26, 186-193.
- Sadeghi, S.H.R, Kalehhouie, M., Dadizade, Y., Kamari yekdangi, F., Zuoravand, G., Radkiyanpour, M., Saroune, F., Mostafaie Younjali, S., & Piri, S. (2021). Assessing soil erosion risk using application and field evaluation of the ICONA model in the Costal Sourak watershed in Hormozgan province, Iran. Degradation and Rehabilitation of Natural Land, 2(4), 1-12. (In Persian with English abstract)
- Sadegh Kamali, K., Moini, A., & Ahmadi, H. (2017). Investigating the effectiveness of the semi-quantitative CORINE model in predicting soil erosion (case study: Parwan watershed). The 13th National Watershed Science and Engineering Conference and the 3rd National Conference on Protection of Natural Resources and Environment, Focusing on Watershed Management and Protection of Natural Resources and Environment, Ardabil. (In Persian with English abstract)
- Sepehr, A., & Honarmandnejad S. (2012). Actual soil erosion risk mapping using modified CORINE method (Case study: Jahrom basin). Geography and Environmental Hazards, 1(3), 57-72. (In Persian with English abstract)
- Taripanah, F., Ranjbar, Fordoei A., Vali, A., & Mokarram M. (2020). Soil Erosion Risk Assessment Using CORINE Model in Kharestan Watershed, Fars Province. Desert Ecosystem Engineering, 9(29), 59-74. (In Persian with English abstract). https://doi.org/10.22052/deej.2020.9.29.41
- Telles, T.S., Guimarães, M.D.F., & Dechen, S.C.F. (2011). The costs of soil erosion. Revista Brasileira de Ciência do Solo, 35, 287-298. https://doi.org/10.1590/S0100-06832011000200001
- World Bank. (2005). Islamic Republic of Iran cost assessment of environmental degradation. Report No. 32043–IR. Rural Development, Water and Environment Department, Middle East and North Africa Region.
- Yousif, I., Tealab, E., Hady, A., & Aldabaa, A. (2020). Spatial soil erosion risk assessment using CORINE model: a case study in Wadi El-Raml Watershed, North Western Coast. Egypt Plant Arch, 20(1), 705-714.
- Zakiri Nejad, R., & Falah, S. (2022). 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), 20-38. Dor: 1001.1.22517812.1402.13.1.4.6
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