jzs-10849

Assessment of soil erosion risk in Chamchamal catchment using RUSLE integrated into GIS Techniques

Tariq Hama Karim1; Kamal Sharif Qadir2 & Danya Omer Mohammed2

1 College of Agricultural Engineering Sciences, Salahaddin University. Erbil-Iraq

2 College of Agricultural Engineering Sciences, Sulaimani University. Bakrajo Street. Sulaimani-Iraq                                                   

*Corresponding author E-mail: kamal.qadir@univsul.edu.iq

DOI Link:https://doi.org/10.17656/jzs.10849

Abstract

In Iraqi Kurdistan Region, as in most Mediterranean countries, assessment of soil erosion risks is a challenging task mainly due to the non-availability or insufficiency of relevant data. In the current study, the soil erosion risks have been estimated by integrating the spatial data on potential erosion rates and soil loss tolerance limits for conservation planning at the sub-catchment level in Chamchamal district, Sulaimani, Iraqi Kurdistan Region. To achieve the above objectives, the study catchment was delineated with the support of GIS after obtaining the Dem of Chamchamal district. The remote sensing (RS) and a geographic information system (GIS) were used to estimate the spatial distribution of soil erosion across the Chamchamal district, to identify the risk of soil erosion, and to develop a conservation priority map. People can reach a common goal: to gain actionable intelligence from all types of data. Additionally, the study catchment was subdivided into 12 subcatchments using the same tool. The estimated annual soil loss for different subcatchments is characterized by a wide range of variations. It ranges from a minimum of 7.08 t ha-1 yr-1 at subcatchment 1 to as high as 252.31 t ha-1 yr-1 at sub-catchment 3. With a few exceptions, the soil tolerance limit at the investigated grid points was estimated at10 t ha-1 yr-1. The results also revealed that around 12% of the whole catchment has a negligible risk of soil erosion above the tolerance limits, and does not call for immediate soil conservation measures. The remaining area (454.96 km2) requires conservation planning with different prioritizations. Subcatchments 2, 3, 7, and 10 were identified as the worst affected districts in terms of soil erosion and therefore require immediate attention of natural resources. The weighted soil erosion risk index (WSERI) categorized sub-catchments 2, 3, 7, and 10 as being of topmost priority as it is the most severely affected areas. The recommended measures to conserve soil and water encompassed three broad categories, namely, vegetative, soil, and mechanical measures. Within the same sub-catchment, one or a combination of several measures can be implemented based on the nature and intensity of the problem.

Key Words: Annual soil loss, RUSLE-variables, soil loss tolerance, WSER index, soil erosion RS, GIS 

References

[1] Pieri, L., Bttelli, M., WU, Q.J., Flangang, D.C. Using the Water Erosion Prediction Project(WEPP) model to simulate field-observed runoff and erosion in Apennines mountain range,  Italy. J. Hydrol. Vol.(336).No. 1-2.PP. 84-97.(2007).

[2] Reusing, M., Schneider, T., Ammer, U. Modeling Soil Loss rates In the Ethiopian highlands by integration of high resolution MOMS-02/D2-Streao-data in a GIS. Int. Journal of Remote Sensing. Vol.(21).No. 9.(2000).

[3] Shiferaw, A. Estimating soil loss rates for soil conservation planning in the Borenaworeda of south Wollo highlands, Ethiopia. J Sustain Dev Afr. Vol. (13). No.3. pp. 87–106.(2011).

[4] Zhang, H., Zhang, J., Zhang, S., Yu, C., Sun R ., Wang, D;  Zhu, C. and Zhang Ji.Identification of Priority Areas  for Soil and Water Conservation Planning Based on Multi-Criteria Decision Analysis Using Choquet Integral. Int J  Environ Res Public Health. (2020).

[5] Mandal, D. and Sharda,V.N. Assessment of permissible soil loss in India employing a quantitativebio- physical model. Current Science, Vol.(100).No. 3.pp. 383-390.(2011).

[6] Mandal, D., Dadhwal, K. S., Khola, O. P. S., Dhayni, B. L. Adjusted T-values for conservation planning in Northwest Himalayas of India. J. Soil Water Conserv. Vol. (61)No.6.  pp. 391-397. (2006).

[7] Klute, A. Water retention: Laboratory methods. In A, Klute (ed.) Methods of soil analysis. Soil analysis, Agron.9, part 2nd ed. ASA and SSSA, Maddison WI. pp.635-662. (1986).

[8] Blake, G.R.A. and Hartage K.H. Bulk density. In method of soil Analysis, part 1: Physicaland mineralogical methods.2nd. Edited by A. Klute. pp.363-375. (1986).

[9] Kessler, J. and Oosterbaan, R.J. Determining hydraulic conductivity of soils. In:“Drainage Principles and Applications”, Part III, Publication 16, Internat. Inst. For Land Reclamation & Improvement,(ILRI) Wageningen, The Netherlands.(1974).

[10] Allison , L.E. Organic carbon. In C. A. Black et al. (ed.) Methods of Soil analysis, part2.Agronomy. Vol. (9).pp.1367-1378. Am. Soc. of Agron. Madison, Wis. (1965).

[11] Conklin, Alfred R and Vitha, Mark F. Introduction to Soil Chemistry: Analysis and Instrumentation.  2nd Edition.John Wiley & Sons, Incorporated. pp: 105-106. (2013).

[12] Wischmeier, W.H. and Smith, D.D. Predicting rainfall erosionlosses :A guide to conservation planning. Agriculture handbook No. 537, USDA, Washington D.C. pp. 58. (1978)

[13] Hussein, M.H and Karim,T. H. Deriving the cropping-management factor for majorl and uses in northern Iraq. Journal of Agricultural Sciences (Zanco), Vol. (6). No.1. pp. 73-86. (1988).

[14] Singh, G., Babu, R., Narain, P., Bhushan, L.S., Abrol, I.P. Soil erosion rates in India. J. Soil & Water Conservation.Vol. (47).No. 1. pp.97-99. (1992).

[15] Eltaif, N., Gharaibeh, M., Al-Zaitawi, F., Alhamad, M. Approximation of rainfallerosivity factors in

        North Jordan.Pedosphere.Vol. (20). pp.711–717. (2010).

[16] Arnoldus H.M.J. Methodology used to determine the maximum potential average annual soil loss due to sheet and rill erosion in Morocco. FAO Soils Bull.Vol. (34).pp. 39-51. (1977).

[17] Nikolov, S. P. Rainfall erosion in northern Iraq. An aid to soil conservation. Ministry of Agriculture and Agrarian Reform. Baghdad, Iraq. (1983).

[18] Arnoldus H.M.J. An approximation of the rainfall factor in the Universal Soil Loss Equation. In: De Boodt M, Gabriel s D (eds) Assessment of erosion .Wiley, Chichester. pp. 127-132.(1980).

[19] Ferrari R., Pasqui M., Bottai L., Esposito S. & Di Giuseppe E. Assessment of soil erosionestimate based on a high temporal resolution rainfall dataset. In: Proc. 7thEuropean Conference on Applications of Meteorology (ECAM), Utrecht, Netherlands. pp. 12-16 September(2005).

[20] Hussein, K.S. Conservation planning for Bastora catchment based on detection of erosion risk prone areas. A thesis submitted to the college of Agriculture, University of Salahaddinas a partial fulfillment of the requirement of the degree of Master in Soil andWater Science (SoilConservation). (2016).

[21] Assaf, S.M. Design of terrace spacing in Shaqlawa district. A thesis submitted to thecollege of Agriculture, University of Salahaddin as a partial fulfillment of the requirements forth degree of Master in soil conservation. (2015).

[22] McCool, D.K.L., Brown, L.C., Foster, G.R., Mutchler, C.K., Meyer, L.D. Revised slope steepness factor for the universal soil loss equation. Transactions of the American Society of Agricultural Engineers., Vol. (30).pp.1387-1396. (1987).

[23] Williams, J.R. and Berndt, H.D. Sediment yield computed with Universal Soil Loss Equation. Journal of Hydraulic Division, ASCE, V.98, HY12, p.2087-2098.(1972).

[24]Lal, R. Long- term and maize monoculture effects on a tropical Alfisols in Western Nigeria: I. Crop yield and soil physical properties. Soil and Tillage Research, No.42.pp.145-160. (1997).

[25] Belayneh, M., Yirgu, T. & Tsegaye, D. Potential soil erosion estimation and area prioritization for  better conservation planning in Gumara watershed using RUSLE and GIS techniques’. Environmental Systems Research (2019).

[26] Sharda, V.N., Mandal, D., Ojasvi, P.R.Identification of soil erosion risk areas for conservation  planning in different states of India. Journal of Environmental Biology, Vol. (34). pp. 219–226. (2013).

[27] Biswas, H., Raizada, A., Mandal, D., Kumar, S., Srinivas, S., Mishra, P. K. Identification of areas vulnerable to soil erosion risk in India using GIS methods. Solid Earth.Vol. (6).pp.1247–1257. (2015).

[28] Van der knijff, J.M., Jones, R.J.A., Montanarella, L. Soil erosion risk assessment in Europe. EUR 19044  EN. Office for official publications of the European Communities, Luxembourg. pp.34. (2000).

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