Abstract
South of the Zagros belt, the entire land of Southern Iran faces problems arising out of various types of land degradation of which water erosion forms a major type. A new model has been developed for assessing the risk of water erosion. Taking into consideration nine indicators of water erosion the model identifies areas with ‘Potential Risk’ (risky zones) and areas of ‘Actual Risk’ as well as projects the probability of the worse degradation in future. The Qareh Aghaj subbasin (1,265,000 ha), which covers the upper reaches of Mond River, has been chosen for a test risk assessment of this kind. The preparation of risk maps based on the GIS analysis of these indicators will be helpful for prioritizing the areas to initiate remedial measures. The different kinds of data for indicators of water erosion were gathered from the records and published reports of the governmental offices of Iran. By fixing the thresholds of severity classes of the nine indicators a hazard map for each indicator was first prepared in GIS. The risk classes were defined on the basis of risk scores arrived at by assigning the appropriate attributes to the indicators and the risk map was prepared by overlaying nine hazard maps in the GIS. Areas under potential risk have been found to be widespread (63%) in the basin and when classified into subclasses with different probability levels the model projects a statistical picture of the risk of land degradation.
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References
Ahmadi H (1995) Applied geomorphology. Tehran University Publication, Iran, p 613
Ahmadi H, Abbas Abadi MR, Onagh M, Ekhtessasi MR (2001) Quantitative assessment of desertification in Aghqalla and Gomishan plain for creation of a regional model. Iran J Nat Resour 54:3–22
Berg N, Roby K, McGurk B (1995) Cumulative watershed effects: applicability of available methodologies to the Sierra Nevada: 1. Pacific Southwest Research Station, Albany, CA 2. Plumas National Forest, Quincy, CA
Bridges EM, Hannam ID, Oldeman LR, Penning de Vries FWT, Scherr SJ, Sombatpanit S (2001) Response to land degradation. Science publishers Inc, p 510
Costic LA (1996) Indexing current watershed conditions using remote sensing and GIS. Sierra Nevada Ecosystem Project: Final report to Congress. University of California, Centers for Water and Wildland Resources
Delbaere B (2003) Environmental risk assessment for European agriculture: interim report. European Center for Nature Conservation, Tilburg
EEA (1999) Environment in the european union at the turn of the century. Environmental assessment report 2
FAO (1994) Land degradation in South Asia: its severity causes and effects upon the people. FAO, UNDP and UNEP report, Rome
FAO/UNEP (1984) Provisional methodology for assessment and mapping of desertification. Food and Agriculture Organization of the United Nations, Rome, p 84
Feiznia S, Gooya AN, Ahmadi H, Azarnivand H (2001) Investigation on desertification factors in Hossein-Abad Mish Mast plain and a proposal for a regional model. J Biaban 6(2):1–14
Filho C, Cochrane TA, Norton LD, Caviglione JH, Johansson LP (2001) Land degradation assessment: tools and techniques for measuring sediment load. 3rd International conference on land degradation and meeting of the IUSS submission C–soil and water conservation, September 17–21, 2001, Rio de Janeiro, Brazil
Flanagan DC, Nearing MA (1995) USDA-Water erosion prediction project: Hillslope and watershed model documentation. NSERL Report No. 10.West Lafayette Ind. USDA-ARS National Soil Erosion Research Laboratory
Ghadiri H (1987) Soil conservation. Ahvaz university publication, Iran
Gobin A, Govers G (2003) Pan-European Soil Erosion Risk Assessment. Third Annual Report. European commission funded fifth framework project - contract QLK5-CT-1999-01323. Available at: http://www.pesera.JRC.it
Heilig GK (1999) China food. Can China Feed Itself? IIASA, Laxenburg
Lal R (1998) Soil erosion at multiple scales: principles and methods for assessing causes and impacts. CAB International Publishing, Wallingford
Morgan RPC, Quinton JN, Rickson JRJ (1992) Soil erosion prediction model for the Europian Community. GB-ISCO-WASWC
Musgrave GV (1947) The quantative evaluation of factors in water erosion, a first approximation. J Soil Water Conserv 2(3):133–138
Norton LD, Filho CC, Cocherane TA, Caviglion JH, Fontes HM, Johnsson LP, Marenda LD (2001) Monitoring the sediment loading of Itaipo lake and modeling of sheet and rill erosion hazards in watershed of Parana River: an outline of project. 10th international ISCO conference, May 1999
Renard KG, Foster GR, Weesies GA, Porter JP (1991) Revised Universal Soil Loss Equation (RUSLE). J Soil Water Conserv 41(1):30–33
Research Institute of Planning and Agricultural Economics (2000) Complete studies for rehabilitation and development of agriculture and natural resource in the fars province: erosion and soil conservation report. Ministry of jahad and agriculture, Iran
Research Institute of Soil and Water (1994) Evaluation studies on the resources and capability of lands in the Fasa and Jahrom area. Research Institute of Soil and Water, Ministry of Agriculture, Iran
Rosewell CJ (1993) Soil loss, a program to assist in the selection of management practices to reduce erosion. Technical handbook, 2nd ed. Soil Conservation Service
Smith DD (1941) Interprtation of soil conservation data for field use. Agricultural Engineering 22:173–175
Tripathi RP, Singh HP (1993) Soil erosion and conservation. New Age International (P) Ltd., New Delhi, p 305
Van Der Knijff JM, Jones RJA, Montanarella L (2000) Soil Erosion risk assessment in Europe, EUR 19044 EN, 34pp
Williams JR, Jones CA, Dyke PT (1990) The EPIC model. United states department of agriculture (USDA) technical bulletin no. 1768
Wischemeier WH (1974) New developments in estimating water erosion. Proceedings of the 29th annual meeting. Soil Conserv Soc Amer 179–186
Wischemeier WH, Johnson CB, Cross BV (1971) A soil erodibility nomograph for farmland and construction sites. J Soil Water Conserv 26:189–193
Wischemeier WH, Smith DD (1978) Predicting rainfall erosion losses. USDA, Agricultural handbook no. 537, Washington DC, USA
Zingg AW (1940) Degree and length of land slope as it affects soil loss in runoff. Agric Eng 21(2):59–64
Acknowledgments
The authors are thankful to the Government Offices of Iran, for providing the data, maps and reports for this risk assessment work. The grant of scholarship to M. Masoudi by the Iranian Ministry of Science and Technology facilitated this work, in the Department of Environmental Sciences, University of Pune, India.
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Masoudi, M., Patwardhan, A.M. & Gore, S.D. Risk assessment of water erosion for the Qareh Aghaj subbasin, southern Iran. Stoch Environ Res Ris Assess 21, 15–24 (2006). https://doi.org/10.1007/s00477-006-0040-y
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DOI: https://doi.org/10.1007/s00477-006-0040-y