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Watershed Evaluation Using Geospatial Techniques

  • Kondwani Godwin Munthali
  • Yuji Murayama
Chapter

Abstract

Soil erosion and the sedimentation of reservoirs are serious problems throughout the tropics, and result from severe and uncontrolled environmental degradation. As a result, declining watershed resources continue to put great pressure on the available agricultural land to support households as soil erosion increases, leading to considerable loss of soil fertility and in extreme cases to eventual desertification (Munthali et al. 2011). In the developing regions, cut-and-burn agricultural practices have been identified as the main driver of erosion, and they pose a great risk to the ecosystems to which such watersheds belong (Chimphamba et al. 2006). Physiologically, many tropical river regimes are unstable and pose a great danger to life and infrastructure as they continuously meander and change course (Munthali et al. 2011). Seasonally, it is estimated that tropical floods inundate significant proportions of fertile land (Norplan A.S. in Association with COWI et al. 2003; WWF (World Wide Fund) 2009).

Keywords

Soil Erosion Sediment Yield Drainage Density World Wide Fund Tropical Catchment 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. Ahmad R, Scatena FN, Gupta A (1993) Morphology and sedimentation in Caribbean montane streams: Examples from Jamaica and Puerto Rico. Sedimentary Geomorphology 85:157–169Google Scholar
  2. Beven KJ, Kirkby MJ (1979) A physically based, variable contributing area model of catchment hydrology. Hydrol Sci J 24:43–69CrossRefGoogle Scholar
  3. Bozali N, Yüksel A, Akay AE (2008) Determining the main factors effecting the sediment yield from Derindere watershed of Sir Dam in Kahramanmaras by using GIS techniques. Int J Nat Eng Sci 2:29–32Google Scholar
  4. Bruijneel LA (1990) Hydrology of moist tropical forests and effects of conversion: a state of knowledge review. International Association of Hydrological Sciences, Paris, p 224Google Scholar
  5. Chimphamba JB, Mwakalila S, Kanyanga J (2006) Assessment of Cut-and-Burn farming system on the management of Songwe River: a trans-boundary watershed between Tanzania, Zambia and Malawi. Presented at United Nations/Zambia/European Space Agency Regional Workshop on the Applications of Global Navigation Satellite System Technologies for Sub-Saharan Africa, Lusaka, Zambia. Retrieved on 1 June 2009, from http://www.unoosa.org/pdf/sap/2006/zambia/presentations/04-01-03.pdf
  6. Commission of the European Communities (2006). Proposal for a Directive of the European Parliament and of the Council Establishing a Framework for the Protection of Soil and Amending, Directive 2004/35/ECGoogle Scholar
  7. Darboux F, Gascuel-Odoux C, Davy P (2002) Effects of surface water storage by soil roughness on overland-flow generation. Earth Surf Process Landforms 27:223–233CrossRefGoogle Scholar
  8. de Roo APJ (1996) LISEM: a single-event physically based hydrological and soil erosion model for drainage basins. 1. Theory, input and output. Hydrol Process 10:1107CrossRefGoogle Scholar
  9. Dunne T (1979) Sediment yield and land use in tropical catchments. J Hydrol 42:281–300CrossRefGoogle Scholar
  10. Dunne T (1988) Geomorphologic contributions to flood control planning. In: Baker VR, Kochel RC, Patton PC (eds) Flood geomorphology. Wiley, New York, pp 421–438Google Scholar
  11. Elwell HA (1981) A soil loss estimation technique for southern Africa SLEMSA. In: Morgan (ed) Soil conservation problems and prospects. Wiley, Chichester, pp 281–292Google Scholar
  12. Fried JS, Brown DG, Zweifler MO, Gold MA (2000) Mapping contributing areas of stormwater discharge to streams using terrain analysis. In: Wilson JP, Gallant JC (eds) Terrain analysis, principles and applications, 1st edn. Wiley, New York, pp 183–203Google Scholar
  13. Friedkin JF (1945) A laboratory study of the meandering of alluvial rivers. US Waterways Experimental Station, VicksburgGoogle Scholar
  14. Gobin A, Jones RJA, Kirkby MJ, Campling P, Govers G, Kosmas C (2004) Indicators for pan-European assessment and monitoring of soil erosion by water. Environ Sci Pol 7:25–38CrossRefGoogle Scholar
  15. Haboudane D, Bonn F, Royer A, Sommer S, Mehl W (2002) Land degradation and erosion risk mapping by fusion of spectrally based information and digital geomorphometric attributes. Int J Rem Sens 23:3795–3820CrossRefGoogle Scholar
  16. Haregeweyn N, Poesen J, Nyssen J, De Wit J, Haile M, Govers G, Deckers S (2006) Reservoirs in Tigray (Northern Ethiopia): characteristics and sediment deposition problems. Land Degrad Dev 17:211–230CrossRefGoogle Scholar
  17. King D, Jones RJA, Thomasson AJ (eds) (1995) European land information systems for agro-environmental monitoring. Office for Official Publications of the European Communities, Luxembourg, EUR 16232 ENGoogle Scholar
  18. Kirkby MJ, Irvine BJ, Jones RJA, Govers G (2008) The PESERA coarse scale erosion model for Europe. I. Model rationale and implementation. Eur J Soil Sci 59:1293–1306CrossRefGoogle Scholar
  19. Le Bissonnais Y, Cerdan O, Lecomte V, Benkhadra H, Souchere V, Martin P (2005) Variability of soil surface characteristics influencing runoff and inter-rill erosion. Catena 62:111–124CrossRefGoogle Scholar
  20. Magrath WB, Doolette JB (1990). Strategic issues in watershed development. In: Doolette JB, Magrath WB (eds) Watershed development in Asia: strategies and technologies. Technical Paper Number 127. World Bank, Washington, pp 1–25Google Scholar
  21. Mahmood K (1987) Reservoir sedimentation: impact, extent, mitigation. Technical Paper Number 71. World Bank, Washington, p 118Google Scholar
  22. Morgan RPC, Quinton JN, Rickson RJ (1994) Modelling methodology for soil-erosion assessment and soil conservation design – the Eurosem approach. Outlook Agr 23:5–9Google Scholar
  23. Mulder T, Syvitski JPM (1996) Climatic and morphologic relationships of rivers. Implications of sea level fluctuations on river loads. J Geol 104:509–523CrossRefGoogle Scholar
  24. Munthali KG, Irvine BJ, Murayama Y (2011) Reservoir sedimentation and flood control: using a geographical information system to estimate sediment yield of the Songwe River Watershed in Malawi. Sustainability 3(1):254–269CrossRefGoogle Scholar
  25. Nagle GN, Fahey TJ, Lassoie JP (1999) Management of sedimentation in tropical watersheds. Environ Manage 23:441–452CrossRefGoogle Scholar
  26. Nearing MA, Foster GR, Lane LJ, Finkner SC (1989) A process-based soil-erosion model for USDA-water erosion prediction project technology. Trans Am Soc Agric Eng 32:1587–1593Google Scholar
  27. Norplan A.S. in Association with COWI, DHI Water & Environment, WandPES (2003). NORPLAN: a Joint Project between the Government of the Republic of Malawi and the Government of the United Republic of Tanzania. Final Feasibility Study Report; Preliminary Environmental Impact Assessment Main Report, vol 4AGoogle Scholar
  28. Pandey A, Chowdary VM, Mal BC, Billib M (2008) Runoff and sediment yield modeling from a small agricultural watershed in India using the WEPP model. J Hydrol 348:305–319CrossRefGoogle Scholar
  29. Pearce AJ (1986) Erosion and sedimentation. Prepared for the workshop on ecological principals for watershed management, 9–11 April 1986, East-West Center, Honolulu, p 18Google Scholar
  30. Pilotti M, Bacchi B (1997) Distributed evaluation of the contribution of soil erosion to the sediment yield from a watershed. Earth Surf Process Landforms 22:1239–1251CrossRefGoogle Scholar
  31. Renard KG, Foster GR, Weesies GA, Porter JP (1991) RUSLE. Revised universal soil loss equation. J Soil Water Conserv 46:30–33Google Scholar
  32. Rober SI (1973) Sedimentation. In: Design of Small Dams, United States Department of the Interior Bureau of Reclamation. Water Resource Technical Publication, Oxford and IBH, New DelhiGoogle Scholar
  33. Roose E (1996) Land husbandry – components and strategy. Ecuador: 70 FAO Soils Bulletin. Retrieved on 19 September 2011, from http://www.fao.org/docrep/T1765E/T1765E00.htm
  34. Schumm SA (2009) Streamflow and sediment yield; Chicago, IL, USA: Encyclopedia Britannica. Retrieved on 20 July 2009, from http://www.britannica.com/EBchecked/topic/504801/river/29099/Factors-that-influence-sediment-yield
  35. Smith RE, Goodrich DC, Quinton JN (1995) Dynamic, distributed simulation of watershed erosion – the Kineros2 and Eurosem models. J Soil Water Conserv 50:517–520Google Scholar
  36. Tamene L, Park SJ, Dikau R, Vlek PLG (2006) Reservoir siltation in the semi-arid highlands of Northern Ethiopia: sediment yield-catchment area relationship and a semi-quantitative approach for predicting sediment yield. Earth Surf Process Landforms 31:1364–1383CrossRefGoogle Scholar
  37. U.S. Department of Agriculture-Soil Conservation Service (1994) Summary Report: 1992 National Resources Inventory. Statistical Laboratory, Iowa State University, AmesGoogle Scholar
  38. Wellmeyer JL, Slattery MC, Phillips JD (2005) Quantifying downstream impacts of impoundment on flow regime and channel platform, lower Trinity River, Texas. Geomorphology 69:1–13CrossRefGoogle Scholar
  39. WWF (World Wide Fund) (2009) Flood preparedness study for the Lower Songwe Basin, Main Report, vol IGoogle Scholar
  40. Williams JR (1982) The physical components of the EPIC model. In: El-Swaïfy, Moldenhauer & Co (eds) Soil erosion and conservation. ISCO 3. SWC. Sol of America, Ankeny pp 273–284Google Scholar
  41. Wischmeier WH, Smith DD (1958) Rainfall energy and its relationship to soil loss. Trans Am Geophys Union 39:285–291Google Scholar
  42. Wischmeier H, Smith DD (1978) Predicting rainfall erosion losses – a guide for conservation planning. Agriculture Handbook 537. U.S. Department of Agriculture, WashingtonGoogle Scholar

Copyright information

© Springer Japan 2012

Authors and Affiliations

  1. 1.Division of Spatial Information Science, Graduate School of Life and Environmental SciencesUniversity of TsukubaTsukubaJapan

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