Modelling of Soil Erosion by Non Conventional Methods

Authors: Ganesh D. Kale, Sheela N. Vadsola

Abstract:

Soil erosion is the most serious problem faced at global and local level. So planning of soil conservation measures has become prominent agenda in the view of water basin managers. To plan for the soil conservation measures, the information on soil erosion is essential. Universal Soil Loss Equation (USLE), Revised Universal Soil Loss Equation 1 (RUSLE1or RUSLE) and Modified Universal Soil Loss Equation (MUSLE), RUSLE 1.06, RUSLE1.06c, RUSLE2 are most widely used conventional erosion estimation methods. The essential drawbacks of USLE, RUSLE1 equations are that they are based on average annual values of its parameters and so their applicability to small temporal scale is questionable. Also these equations do not estimate runoff generated soil erosion. So applicability of these equations to estimate runoff generated soil erosion is questionable. Data used in formation of USLE, RUSLE1 equations was plot data so its applicability at greater spatial scale needs some scale correction factors to be induced. On the other hand MUSLE is unsuitable for predicting sediment yield of small and large events. Although the new revised forms of USLE like RUSLE 1.06, RUSLE1.06c and RUSLE2 were land use independent and they have almost cleared all the drawbacks in earlier versions like USLE and RUSLE1, they are based on the regional data of specific area and their applicability to other areas having different climate, soil, land use is questionable. These conventional equations are applicable for sheet and rill erosion and unable to predict gully erosion and spatial pattern of rills. So the research was focused on development of nonconventional (other than conventional) methods of soil erosion estimation. When these non-conventional methods are combined with GIS and RS, gives spatial distribution of soil erosion. In the present paper the review of literature on non- conventional methods of soil erosion estimation supported by GIS and RS is presented.

Keywords: Conventional methods, GIS, non-conventionalmethods, remote sensing, soil erosion modeling

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1058737

References:

[1] O. F. Amiri, and T. Tabatabaie, "EPM approach for erosion modeling by using RS and GIS," in 2009 Proc. 7th FIG Regional Conference Spatial Data Serving People, Land Governance and The Environment- Building the Capacity, Hanoi, Vietnam, pp. 1-10.
[2] L. T. ANH, "Regional scale soil erosion modeling for observation planning using RS & GIS techniques-a case study in the centre of Himalayan region," in 2009 Proc. 7th FIG Regional Conference,Hanoi, Vietnam, pp. 1-15.
[3] D. Anrong, Z. Sicong, H. Xindong, T. Lihua, and X. Haibo, "Case study of soil erosion supported by GIS & RS," in 2003 Proceedings of Geoscience and Remote Sensing Symposium,IGARSS-03, France, pp. 2857-2859.
[4] P. Behera, K. H. V. Durga Rao, and K. K. Das, "Soil erosion modeling using MMF model-a remote sensing and GIS perspective," J. Indian Society of Remote Sensing, vol. 33, no. 1, pp. 165-176, 2005.
[5] H. Belaid, and M. A. Karteris, "Use of GIS to predict potential erosion areas in a typical mediterranean watershed," in Proc. CIHEAM - Options Mediterraneennes Conference, pp.109-115. http://ressources.ciheam.org/om/pdf/c09/96605584.pdf
[6] C. Evangelou, "Using geographic information system (GIS) technology to assess soil erosion risks in Europe," Environmental Connection, vol. 2, no. 2, pp. 24-26.
[7] S. L. Curzio, and P. Magliulo, "Soil erosion assessment using geomorphological remote sensing techniques: an example from Southern Italy," Earth Surface Processes and Landforms, vol. 35, no. 3, pp. 262-271, December 2009.
[8] O. Degniz, P. Yukupoglu, and O. Baskan, "Soil erosion assessment using geographical information system (GIS) and remote sensing (RS) study from Ankara-Guvenc basin, Turkey," J. Environmental Biology, Vol. 30, No. 3, May, pp. 339-44.
[9] F. Dondofema, A. Murwira, and A. Mhizha, "Identifying gullies and determining their relationships with environmental factors using GIS in the Zhulubemeso-catchment," in 2008 9th WaterNet/WARFSA/GWP SA Programme, Water and Sustainable Development for Improved Livelihoods, Johannesburg, South Africa, pp. 1- 8.http://www.waternetonline.ihe.nl/challengeprogram/P48%20Dondof ma%20Gullies.pdf
[10] G. R. Foster, T. E. Toy, and K. G. Renard, "Comparison of the USLE, RUSLE1.06c and RUSLE2 for application to highly disturbed lands," in 2003 Proceedings of First Interagency Conference on Research in The Watersheds, Benson, Arizona, pp. 154 160.http://www.tucson.ars.ag.gov/icrw/proceedings/foster.pdf
[11] N. Hassen, "The assessment of erosion vulnerability using GIS and remote sensing application," Master of Science Thesis Submitted in the Addis Ababa University, June 2009.
[12] J. Huang, and W. Xu, "Quantitative assessment of regional soil erosion in Chengdu plain of Sichuan province, R.S & GIS," in 2007 Geoscience and Remote Sensing Symposium, IGARSS 2007, IEEE International, pp. 3131-3134.
[13] A. S. Jasrotia, S. D. Dhiman, and S. P. Aggarwal, "Rainfall runoff and soil erosion modeling using RS & GIS technique-a case study of Tons watershed," J. Indian Society of Remote Sensing, vol. 30, no. 3, pp. 1- 14, August 2002.
[14] S. K. Jain, and M. K. Goel, "Assessing the vulnerability to soil erosion of the Ukai dam catchments using remote sensing and GIS,"Hydrological Sciences J., vol. 47, no. 1, pp. 31-40, December 2009.
[15] A. NG. S. Kim, "Application of geographic information system (GIS) in soil erosion prediction: a case study of the SG. Hijau watershed, Fraser's hill, Pahang," Doctoral Thesis Submitted in the Faculty of Forestry, University Putra Malaysia, Selangor, Malaysia, May 2003.
[16] U. C. Kothyari, and S. K. Jain, "Sediment yield estimation using GIS," Hydrological Sciences J., vol. 42, no. 6, pp. 833-843, December 1997.
[17] M. Kokh-Shrestha, "Soil erosion modeling using remote sensing and GIS: a case study of Jhikhu Khola watershed, Nepal," in 2002 Proc. ACRS2002, Kathmandu, Nepal. http://www.a-a-rs. org/acrs/proceeding/ACRS2002/Papers/SAG02-7.pdf
[18] R. L. Lanuzaa, E. P. Paningbatan Jr., "Validation and sensitivity analysis of catchment runoff and erosion simulation technology (CREST): a GIS-assisted soil erosion model at watershed level," in 2010 Proc. International Congress on Environmental Modeling and Software Modeling for Environment-s Sake, Ottawa, Canada. http://www.iemss.org/iemss2010/index.php?n=Main.Proceedings.
[19] C. Lloyd, and D. Favis-Mortlock, "Modeling erosion on conditionallysimulated DEMs of bare soil surfaces," in 2003 Proc. 7th International Conference on GeoComputation, University of Southampton, United Kingdom.http://www.geocomputation.org/2003/Abstracts/Lloyd_Abs.p df
[20] T. A. Mahammadi, and V. Shadparvar, "Investigation of the possibility to prepare supervised classification map of gully erosion," Life Science J., vol. 8, no. 1, pp. 383-386, 2011.
[21] I. Milevski,"Estimation of soil erosion risk in the upper part of Bregalnica watershed-republic of Macedonia based on digital elevation model and satellite imagery," in 2008 5th International Conference on Geographic Information Systems, Fatih University, Istanbul, Turkey, pp. 351-358.
[22] T. A. Mohammadi, and D. Nikkami, "Methodologies of preparing erosion features map by using RS and GIS," International J. Sediment Research, vol. 23, no. 2, pp. 130-137, June 2008.
[23] T. A. Mohammadi, and N. Haghighat, "Investigation of some methodologies in providing erosion maps of surface, rill and gully and erosion features," J. World Academy of Science, Engineering and Technology, vol. 68, pp. 1206-1209, 2011.
[24] G. Nabi, "Regional scale sediment yield modeling using GIS and remote sensing," Doctoral Thesis submitted in Centre of Excellence in Water Resources Engineering, University of Engineering and Technology, Lahore, Pakistan, 2004.
[25] A. Pandey, V. M. Chowdary, and B. C. Mal, "Sediment yield modeling of an agricultural watershed using MUSLE, remote sensing and GIS,"Paddy and Water Environment, Elsevier, vol. 7, no. 2, pp. 105- 113,February 2009.
[26] R. Paul, H. Eswaran, and F. Beinroth, "Global dimensions of vulnerability to wind and water erosion," in 1999 Proc. Sustaining Global Farm, 10th International Soil Conservation Organization Meeting, Purdue University, USA, pp. 838-846.
[27] D. D. Phai, D. Orange, J. B. Migraine, D. T. Tran, and C. V. Nguyen, "Applying GIS-assisted modeling to predict soil erosion for a Small agricultural watershed within sloping lands in Northern Vietnam," in 1999Proc. Sustainable Sloping Lands and Watershed Management Conference, Northern Vietnam, pp. 212-228. http://www.nafri.org.la/document/SSLWM/ch2_09_phai.pdf
[28] K. G. Renard, G. R. Foster, G. A. Weesies, D. K. McCool, D. C. Yoder, and Co-ordinators, "Predicting soil erosion by water: a guide to conservation planning with the revised universal soil loss equation (RUSLE)," U. S. Department of Agriculture, Agriculture Handbook No. 703, 1997.
[29] K. D. Sharma, "A distributed spatial sediment delivery model for the arid regions," Hydrology J., vol. 29, no.1 & 2, pp. 1-17, March - June 2006.
[30] B. Tabassum, "Role of RS and GIS in agriculture: a case study of Dikrong river basin," J. Geo-Informatics, Institute of Earth Sciences, CCS University, Meerut, India, pp. 1-13, 1999.
[31] T. J. Toy, and G. R. Foster, "Use of the revised universal soil loss equation (RUSLE) version 1.06 on mined lands, construction sites, and reclaimed lands," U. S. Department of Interior, Office of Surface Mining, Reclamation, and Regulation, U. S. A., 1998
[32] U.S. Department of Agriculture, Agricultural Research Service,National Sediment Laboratory (USDA-ARS-NSL), "RUSLE1.06c and RUSLE2," U.S.A., 2003. http://www.sedlab.olemiss.edu/rusle.
[33] S. Y. Wang, Z. X. Zhang, and X. Zhao, "Remote sensing study on soil erosion backed by GIS-take the soil erosion in Hubei province for example," in 2001 Proc. Info-tech and Info-net Conference, Beijing, China, pp. 159-164. http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=00982738
[34] Z. Wan, and C. Sangchyoswat, "Soil erosion risk assessment using GIS and farmer-s perception: a case study in dry zone area of central region of Myanmar," pp. 395-405, 2001. http://www.mcc.cmu.ac.th/Seminar/pdf/1534.pdf
[35] L. Weihua, W. Yonggang, M. Dianhui, and Y. Yan, "Regional assessment of soil erosion based on Naive Bayes," in 2007 Proc. Of International Conference on Computational Intelligence and Security, Harbin, China, pp. 6-9.
[36] W. H. Wischmeir, and D. Smith, "Predicting rainfall erosion losses- a guide to conservation planning," U. S. Department of Agriculture, Agriculture Handbook No. 537, 1978.
[37] S. T. Yang, and Q. Zhu, "Intelligent interpreting soil erosion based on geographic knowledge," in 2003 Proc. Geoscience and Remote Sensing Symposium, France, pp. 2468-2470.
[38] http://en.wikipedia.org/wiki/Erosion