Comparison of the K factor in different areas on the slope

Year 2021, Volume: 10 Issue: 1, 46 - 53, 30.04.2021

Saniye Demir , Yunus Akdoğan , İrfan Oguz , Rasim Koçyiğit

Abstract

Erosion is among the leading factors threatening our sources of soil and water. The use of soil susceptibility indices to determine erosion and risk situations is vital, especially in erosion studies. The susceptibility of soil to erosion is the resistance of soil against decomposition due to some external forces. Carried out around Tokat-Tekneli village, the research aims to determine the erodibility factor (K) of the soil by its physical and chemical qualities in different slope segments of a field which is applied wheat-fallowing planting watch and has a convex slope in the study area. With this aim, three-times repeated deteriorated surface soil samples of 0-20 cm depth were taken from the peak, shoulder, ridge, face, and inch (finger) regions of the slope area, and they were analysed in the laboratory. With the formulation of the K factor, the soil erodibility value of each soil sample was calculated. The erodibility value of the region is between 0.07 and 0.12 t ha-1 Mj mm-1, and it was determined that soils are classified in the soil class, which is sensitive to moderate erosion.

Keywords

USLE, Soil Erosion, K factor, Tekneli

References

• J L. Wang, J. Huang, Y. Du, Y. Hu, P. Han, Dynamic Assessment of Soil Erosion Risk Using Landsat TM, and HJ Satelite Data in Danjiangkou Area, China. Journal of Remote Sensing, 5(4), (2013) 3826–3848.
• I. A. Abdulfatai, I. A. Okunlola, W. G. Akande, L. O Momoh, K. O. Ibrahim, Review of Gully erosion in Nigeria: Causes, Impacts, and Possible Solutions, Journal of Geosciences and Geomatics, 2(3), (2014) 125–129.
• D. Pimentel, N. Kounang, Ecology of Soil Erosion in Ecosystems, Ecosystems, 1(5), (1998) 416–426.
• G. Gunawan, S. Dwita, S. Herr, W. Sulostiowemi, Soil Erosion Estimation based on GIS and Remote Sensing for Supporting Integrated Water Resources Conservation Management, International Journal of Technology, 2(1), (2013) 147–156.
• H. Cebel, S. Akgül, O. Doğan, F. Elbaşı, Erodibility “K” Factor of Great Soil Groups in Turkey, Soil-Water Journal, 2(1), (2013) 30–45.
• N. J. Quintan, V. G. P. Batista, L. N. Marx, Silva, J. Davies. Erosion Model Testing - Are Doing Enough? Global Symposıum on Soil Erosion Proceedings, 2019 pp. 180–184.
• N. K. Aslan, M. Tekiner, Assessment of Irrigation Practices of Farmers Receiving Water from Open-Canal and Piped Irrigation Networks, Turkish Journal of Agriculture-Food Science and Technology, 5(9), (2017) 1066–1070.
• S. Demir, İ. Oğuz, E. Özer, Estimation of Soil Losses in a Slope Area of Tokat Province through USLE and WEPP Model, Turkish Journal of Agriculture-Food Science and Technology, 6(12), (2018) 1838–1843.
• E. K. Kwaghe, A. M. Saddiq, R.I. Solomon, S.A. Musa, Integrated Nutrient Management on Soil Properties and Nutrient Uptake by Red Onion, Turkish Journal of Agriculture-Food Science and Technology, 5(5), (2017) 471–475.
• G. R. Foster, L. D. Meyer, A Closed-form Soil Erosion Equation for Upland Areas, Sedimentation: Symposium to Honor Professor H. A. Einstein, H. W. Shen, ed., Fort Collins, Colo., 12.1, (1972) 12.9.
• İ. Oğuz, A. Durak, The Sensitivity Assessment of the Basin Soils to Erosion and Some Properties of the Çekerek Basin Large Soil Groups and Water Erosion Relations, Reports on the findings of soil and water resource research, Ankara, 1998.
• V. Bagarello, C. Di Stefano, V. Ferro, G. Giordano, M. Iovino, V. Pampalone, Applied Engineering in Agriculture, 28, (2012) 199–206.
• K. G. Renard, G. R. Foster, G. A. Weesies, D. K. McCool, D. C. Yoder, Guide. Conserv. Plan. RUSLE. (1997).
• L. M. Risse, M. A. Nearing, A. D. Nicks, J. M. Laflen, Soil Science Society America Journal. 3, (1993) 825–833.
• J. Padhye, V. Firoiu, and D. Towsley. A Stochastic Model of TCP Reno Congestion Avoidance and Control. CMPSCI Technical Report 99-02, University of Massachusetts, MA, 1999.
• M. J. Hann, R. P. C. Morgan, Earth. Earth Surface Processes and Landforms, 5, (2006) 589–597.
• W. H. Wischmeier, D. D. Smith, Predicting rainfall erosion losses, A guide to conservation planning: United States Department of Agriculture Agricultural Handbook, 537. U.S. Government Printing Office, Washington D.C., USA. 1978.
• V. G. Jetten, D. F. Mortlock, Modelling soil erosion in Europe, (2006) 695–716.
• G. Wang, G. Gertner, X. Liu, A. Anderson, Uncertainty Assessment of Soil Erodibility Factor for Revised Universal Soil Loss Equation, Catena. 46, (2001) 1–14.
• R. P. C. Morgan, M.A. Nearing, Handbook of Erosion Modelling, Wiley Online, (2011) 17–19.
• C. Colombo, G. Palumbo, P. P. C. Ancelli, A. D. Angelis, C. M. Rosskopt, Relationships between soil properties, erodibility and hillslope features in Central Apennines, Southern Italy, A paper presented at the 19th World Congress of Soil Science, Soil Solutions for a changing World 1-6, Brisbane, Australia, 2010.
• P. A. Idah, H. I. Mustapha, J. J. Musa, J. Dike, Determination of Erodibility Indices of Soils in Owerri West Local Government Area of Imo State, Nigeria. AU J. T. 12(2), (2008) 130–133.
• T. Manyiwa, O. Dikinya, Using Universal Soil Loss Equation and Soil Erodibility Factor to Assess Soil Erosion in Tshesebe Village, North East Botswana, African Journal of Agricultural Research, 8, (2013) 4170–4178.
• İ. Oğuz, H. Cebel, E. Ayday, M. Demiryürek, Turkey Universal Soil Loss Equation Equality Guide T.C. Ministry of Agriculture and Rural Affairs General Directorate of Agricultural Research, Publication No: TAGEM–BB–TOPRAKSU 2006/01 Institute Publication No: 225, Technical Publication No: 41, 2003.
• A. Tüzüner, Handbook for Soil and Water Analysis Laboratories. Publications of the General Directorate of Rural Services, Ankara, 1990.
• U. S. Salinity Laboratory, Diagnosis and Improvement. of saline and alkali soils. USD An Agriculture Handbook. No: 60, 1954.
• A. Walkley, I. A. Black, An examination of Degtjareff method for determining soil organic matter and a proposed modification of the chromic acid titration method, Soil Science. 37, (1934) 29–37.
• A. Klute, C. Dirksen, Hydraulic conductivity and diffusivity, pp. 687-732, in A. Klute, ed., Methods of Soil Analysis, Part I, 2nd ed. American Society of Agronomy, Madison, WI. 1986.
• B. Wang, F. Zheng, Y. Guan, İmproved USLE-K factor prediction: A case study on water erosion areas in China, International Soil and Water Conservation Research, (2016) 168–176.
• B. Yu, Adjustment of CLIGEN Parameters to Generate Precipitation Change Scenarios in Southeastern Australia, Catena, 61(2), (2005) 196–209.
• O. O. Okorafor, C. O. Akinbile, A. J. Adeyemo, Determination of soils erodibility factor (K) for selected sites in Imo State, Nigeria. Resources and Environment, 8(1), (2018) 6–13.
• R. Imani, H. Ghasemieh, M. Mirzavand, Determining and mapping soil erodibility factor (Case study: Yamchi watershed in Northwest of Iran), Open Journal of Soil Science, 4, (2014) 168–173.
• A. R. Vaezi, S. H. R. Sadeghi, H. A. Bahrami, M. H. Mahdian, Modeling the USLE K-factor for Calcareous Soils in Northwestern Iran, Geomorphology 97, (2008) 414–423.