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Risk modeling of soil erosion under different land use and rainfall conditions in Soan river basin, sub-Himalayan region and mitigation options

  • Arshad AshrafEmail author
Original Article
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Abstract

Soil erosion is a serious environmental problem impacting soil and water resources of the Himalayan region. To sustain food and fibres requirements of ever increasing population, there is need to rehabilitate erosion affected areas. In the present study, risk of soil erosion was assessed in the Soan river basin of sub-Himalayan region of Pakistan using Revised Universal Soil Loss Equation coupled with geo-informatic techniques. The influential factors leading to higher erosion rates were studied under variable scenarios of environmental change. The study revealed an average soil loss of about 8.4 tons/ha/year in the study area. The intensity of erosion was predicted around 15 tons/ha/year in the open soil and 10.3 tons/ha/year in the agriculture land. The rate of erosion was found maximum over 5°–15° slope, i.e., about 19 tons/ha/year. At steeper slopes (i.e., > 15°), the lower values of erosion rates were observed likely because of presence of exposed rocks lacking extensive soil cover. High risk of erosion was predicted in scenarios of increase in rainfall and conversion of rangeland and scrub forest into agriculture land in the basin. The menace of soil erosion can be controlled through adopting integrated land use planning and soil conservation approach at micro to macro level in this part of the Himalayan region.

Keywords

Soil erosion Risk management Land degradation Soan river Himalayan region 

Notes

References

  1. Abuzar MK, Shakir U, Ashraf A, Mukhtar R et al (2018) GIS based risk modeling of soil erosion under different scenarios of land use change in Simly watershed of Pakistan. J Him Earth Sci 51(2A):132–143Google Scholar
  2. Ahmad F (2013) Land degradation pattern using geo-information technology for Kot Addu, Punjab Province. Pakistan. Glob J Hum Soc Sci 13(1):1–6Google Scholar
  3. Alam S, Fatima A, Butt MS (2007) Sustainable development in pakistan in the context of energy consumption demand and environmental degradation. J Asian Econ 18:825–837CrossRefGoogle Scholar
  4. Almeida-Guerra P, Napolitano R and Feoli E (2012) Importance on soil erosion prevention for environmental risk alert by the application of remote sensing and GIS techniques. A case study in Santos (Brazil). http://www.academia.edu/1586230/. Accessed 14 Aug 2018
  5. Ananda J, Herath G (2003) Soil erosion in developing countries: a socio-economic appraisal. J Environ Manage 68:343–353CrossRefGoogle Scholar
  6. Angima AD, Stott DE, O’Nell MK, Ong CK, Weesies GA (2003) Soil erosion prediction using RUSLE for Central Kenyan Highland Conditions. Agr Ecosyst Environ 97:295–308CrossRefGoogle Scholar
  7. Arnoldous HML (1980) An approximation of rainfall factor in the universal soil loss equation. In: De Boodt M, Gabriels D (eds) Assessment of erosion. Wiley, Chichester, pp 127–132Google Scholar
  8. Ashiagbor G, Forkuo E, Laari P, Aabeyir R (2013) Modeling soil erosion using RUSLE and GIS tools. Int J Remote Sens Geosci 2:7–17Google Scholar
  9. Ashraf A, Ahmad MM, Ahmad Z (2016) River basin management in the Himalayan Environment. A case of Soan River Basin, Pakistan. LAP LAMBERT Academic Publishing at http://dnb.d-nb.de. Accessed 25 Oct 2017
  10. Ashraf A, Abuzar MK, Ahmad B, Ahmad MM, Hussain Q (2017) Modeling risk of soil erosion in high and medium rainfall zones of Pothwar Region, Pakistan. Proc Pak Acad Sci 54(2):67–77Google Scholar
  11. Auerswald K (1987) Bestimmung der Bodengründigkeit aus dem Klassenbeschrieb der Reichsbodenschätzung zum Festlegen von tolerierbaren Bodenabträgen (T-Wert). [Estimating soil depth and soil loss tolerance for the classification units of the German soil productivity maps]. J Agron Crop Sci 158:132–139CrossRefGoogle Scholar
  12. Chris SR, Jon H (2002) Soil erosion assessment tools from point to regional scales-the role of geomorphologists in land management. Geomorphology 47:189–209CrossRefGoogle Scholar
  13. David PF, David RM (2003) Modelling large-scale fluvial erosion in geographic information systems. Geomorphology 53:147–164CrossRefGoogle Scholar
  14. Erencin Z (2000) C-factor mapping using remote sensing and GIS. A case Study of Lom Sak/Lom Kao, Thailand. Geographisches Institut der Justus-Liebig-Universität Giessen and Intern Inst. for Aerospace Survey and Earth Sci. (ITC), Enschede, The NetherlandsGoogle Scholar
  15. Habib-ur-Rehman S, Hamayun K, Saleem K, Nazir A, Bhatti WM (2003) Incidence and gross pathology of Salmonellosis in chicken in Hyderabad. Jour Assoc Vet Adv 2:581–584Google Scholar
  16. Ighodaro ID, Lategan FS, Yusuf SFG (2013) The impact of soil erosion on agricultural potential and performance of Sheshegu community farmers in the Eastern Cape of South Africa. J Agric Sci 5:140–147Google Scholar
  17. Iqbal MN, Oweis TY, Ashraf M, Hussain B, Majid A (2012) Impact of land-use practices on sediment yield in the Dhrabi watershed of Pakistan. J Environ Sci Eng A 1:406–420Google Scholar
  18. Jain SK, Kumar S, Varghese J (2001) Estimation of soil erosion for a Himalayan watershed using GIS technique. Water Resour Manage 15:41–54CrossRefGoogle Scholar
  19. Jie C, Jing-zhang C, Man-zhi T, Zi-tong G (2002) Soil degradation: a global problem endangering sustainable development. J Geogr Sci 12:243–252CrossRefGoogle Scholar
  20. Jiu J, Wu H, Li S (2019) The implication of land-use/land-cover change for the declining soil erosion risk in the three Gorges reservoir region, China. Int J Environ Res Public Health 16(10):1856.  https://doi.org/10.3390/ijerph16101856 CrossRefGoogle Scholar
  21. Koirala P, Thakuri S, Joshi S, Chauhan R (2019) Estimation of soil erosion in Nepal using a RUSLE modeling and geospatial tool. Geosciences 9(4):147.  https://doi.org/10.3390/geosciences9040147 CrossRefGoogle Scholar
  22. Kouli M, Soupios P, Vallianatos F (2009) Soil erosion prediction using the Revised Universal Soil Loss Equation (RUSLE) in a GIS framework, Chania, Northwestern Crete, Greece. Environ Geol 57:483–497CrossRefGoogle Scholar
  23. Merritt WS, Letcher RA, Jakeman AJ (2003) A review of erosion and sediment transport models. Environ Model Softw 18:761–799.  https://doi.org/10.1016/s1364-8152(03)00078-1 CrossRefGoogle Scholar
  24. Moore ID, Turner AK, Wilson JP, Jenson SK, Band LE (1993) GIS and land-surface-subsurface process modeling. In: Goodchild MF (ed) Environmental modeling with GIS. Oxford University Press, U.K., pp 196–230Google Scholar
  25. Nasir A, Uchida K, Ashraf M (2006) Estimation of soil erosion by using RUSLE and GIS for small mountainous watersheds in Pakistan. Pak J Water Resour 10(1):11–21Google Scholar
  26. Oweis T, Ashraf M (eds) (2012) Assessment and options for improved productivity and sustainability of natural resources in Dhrabi watershed Pakistan. ICARDA, AleppoGoogle Scholar
  27. Parveen R, Kumar U (2012) Integrated approach of universal soil loss equation (USLE) and geographical information system (GIS) for soil loss risk assessment in upper south Koel Basin, Jharkhand. J Geogr Inf Syst 4:588–596Google Scholar
  28. Pimentel D, Harvey C, Resosudarmo P, Sinclair K, Kurz D, McNair M et al (1995) Environmental and economic costs of soil erosion and conservation benefits. Science 267:1117–1123CrossRefGoogle Scholar
  29. Rafiq M, Ahmad M, Iqbal N, Tariq JA, Akram W, Shafiq M (2011) Assessment of soil losses from managed and unmanaged sites in a subcatchment of Rawal dam, Pakistan using fallout radionuclides, in impact of soil conservation measures on erosion control and soil quality, IAEA-TECDOC-1665, ViennaGoogle Scholar
  30. Renard KG, Foster GR, Weesies GA, McCool DK, Yoder DC (1997) Predicting soil erosion by water: a guide to conservation planning with the revised universal soil loss equation (RUSLE). Agriculture Handbook, vol. 703US Department of Agriculture, Washington, DC, pp 1–251Google Scholar
  31. Russell SH, William WD (2001) Landscape erosion and evolution modelling. Kluwer Academic/Plenum, New YorkGoogle Scholar
  32. Serpa D, Nunes JP, Santos J et al (2015) Impacts of climate and land use changes on the hydrological and erosion processes of two contrasting Mediterranean catchments. Sci Total Environ 538:64–77CrossRefGoogle Scholar
  33. Wischmeier WH, Smith DD (1978) Predicting rainfall erosion losses—a guide to conservation. Agricultural Handbook no. 537, United States Department of Agriculture, Washington, DC, p 58Google Scholar
  34. Yesuph AY, Dagnew AB (2019) Soil erosion mapping and severity analysis based on RUSLE model and local perception in the Beshillo Catchment of the Blue Nile Basin, Ethiopia. Environ Syst Res 8:17.  https://doi.org/10.1186/s40068-019-0145-1 CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Climate, Energy and Water Research InstituteNational Agricultural Research CenterIslamabadPakistan

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