Eurasian Journal of Soil Science

Volume 1, Issue 1, Jun 2012, Pages 28 - 33

Stable URL: http://ejss.fess.org/10.18393/ejss.2012.1.028-033
Copyright © 2012 The authors and Federation of Eurasian Soil Science Societies



Comparison of empirical models to estimate soil erosion and sediment yield in micro catchments

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Article first published online: 17 Jun 2012 | How to cite | Additional Information (Show All)

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Eisazadeh,L., Sokouti,R., Homaee,M., Pazira,E., 2012. Comparison of empirical models to estimate soil erosion and sediment yield in micro catchments. Eurasian J Soil Sci 1(1):28 - 33.
Eisazadeh,L.,Sokouti,R.Homaee,M.,& Pazira,E. Comparison of empirical models to estimate soil erosion and sediment yield in micro catchments Eurasian Journal of Soil Science, DOI : 10.18393/ejss.2012.1.028-033
Eisazadeh,L.,Sokouti,R.Homaee,M., and ,Pazira,E."Comparison of empirical models to estimate soil erosion and sediment yield in micro catchments" Eurasian Journal of Soil Science, DOI : 10.18393/ejss.2012.1.028-033
Eisazadeh,L.,Sokouti,R.Homaee,M., and ,Pazira,E. "Comparison of empirical models to estimate soil erosion and sediment yield in micro catchments" Eurasian Journal of Soil Science, DOI : 10.18393/ejss.2012.1.028-033
L,Eisazadeh.R,Sokouti.M,Homaee.E,Pazira "Comparison of empirical models to estimate soil erosion and sediment yield in micro catchments" Eurasian J. Soil Sci, vol., no., pp., DOI : 10.18393/ejss.2012.1.028-033
Eisazadeh,Lida ;Sokouti,Reza ;Homaee,Mehdi ;Pazira,Ebrahim Comparison of empirical models to estimate soil erosion and sediment yield in micro catchments. Eurasian Journal of Soil Science,. DOI : 10.18393/ejss.2012.1.028-033

How to cite

Eisazadeh, L., Sokouti, R., Homaee, M., Pazira, E., 2012. Comparison of empirical models to estimate soil erosion and sediment yield in micro catchments. Eurasian J. Soil Sci. 1(1): 28 - 33.

Author information

Lida Eisazadeh , Department of Soil Science, Science and Research Branch, Islamic Azad University, Tehran, Iran Tehran, Iran
Reza Sokouti , Research Center of Agriculture and Natural Resources of West Azerbaijan, Urmia, Iran
Mehdi Homaee , Department of Soil Science, Tarbiat Modares University, Tehran, Iran
Ebrahim Pazira , Department of Soil Science, Science and Research Branch, Islamic Azad University, Tehran, Iran

Publication information

Issue published online: 25 Jun 2012
Article first published online : 17 Jun 2012
Manuscript Accepted : 15 Jun 2012
Manuscript Received: 15 Sep 2011

Abstract

Assessment of sediment yield in soil conservation and watershed Project and implementation plan for water and soil resources management is so important. Regarding to somewhere that doesn’t have enough information and statistical data such as upper river branches, Empirical models should be used to estimate erosion and sediment yield. However the efficiency and usage of these models before calibration isn’t clear. In this research, the measurement of erosion and sediment yield of 10 basins upstream of reservoirshas been estimated by RUSLE and MPSIAC empirical models.In order to compare means between measured and estimated datat-test method was applied.Theresults indicated no significant differences between means of measured and estimated sediment yield in MPSAIC model in 5% level. In contrast, T-test showed contrary results in RUSLE model. Then the applicability and priority of two models were examined by statistical methodssuch as MAE and MBE methods. By regarding to accuracy and precision, MPSIAC model placed in first priorityto estimate soil erosion and sediment yield and has minimum value of MAE=0.79 and MBE = -0.59.

Keywords

Erosion-Sediment models, MPSIAC, RUSLE, Micro Catchments

Corresponding author

References

Daroussin, J., King D., 2001. Mapping erosion risk for cultivated soil in France, Catena 46, 207-220.

Jhonson, C. W., Gembhart, A.C., 1982. Predicting sediment yield from Sagerbrush range lands. USDA SEAARM Western Series 26, 145-156.

Lufafa, A., Tenywa, M.M., Isabirye, M., Majaliwa, M.J.G., Woomer., P.L., 2003. Prediction of soil erosion in alake victoria basin catchment using a GIS- based universal soil loss model. Agricultural Systems 76, 883-894.

Nearing, M. A., Govers, G., Norton., L.D., 1999. Variability in soil erosion data from replicated plots. Soil Science Society America Journal 63, 1829-1835.

Rahmani, M., Hadian Amri, M,E., Mollaaghajanzadeh., S., 2004. Application satellite data and GIS to estimate soil erosion and sediment yield in MPSIAC model (case study: Shrafkhane watershed, Shabestar). Collection of erosion and sediment papers, 2004.

Rastgoo Ghahreman, S., Senayeenejad, H., Daavari, K., Khodashenas, S. 2006. Estimating soil erosion and sediment yield in Tang Konasht watershed with MPSIAC , EPM and GIS. Agriculture and Natural Resources Journal 91-104

Renard, K.G., Foster, G.R., Weesies, G.A., McCool, D.K., Yoder, D.C., 1997. Predicting soil erosion by water: a guide to conservation planning with the Revised Universal Soil Loss Equation (RUSLE), USDA-ARS, Agricultural Handbook No. 703.

Renschler, C.S., Harbor, J., 2002. Soil erosion assessment tools from point to regional scales-the role of geomorphologists in land management research and implementation. Geomorphology 47, 189–209.

Sadeghi, H., 1993. Comparison of some erosion potential and sediment yield assessment models in Ozon-Dareh sub-catchment. Proceedings of the National Conference on Land Use Planning, Tehran, Iran 1993.

Stocking, M., Murnaghan, N., 2001. Handbook for the Field Assessment of Land Degradation. London: Earthscan Publication, UK.

Wischmeier, W.H., Smith, D.D., 1965. Predicting rainfall-erosion losses from cropland east of the Rocky Mountains: guide for selection of practices for soil and water conservation, USDA Agricultural Handbook, No. 282.

Wischmeier W.H., Smith D., 1978. Predicting rainfall erosion losses: a guide to conservation planning. USDA Agriculture Handbook No. 537.

Abstract

Assessment of sediment yield in soil conservation and watershed Project and implementation plan for water and soil resources management is so important. Regarding to somewhere that doesn’t have enough information and statistical data such as upper river branches, Empirical models should be used to estimate erosion and sediment yield. However the efficiency and usage of these models before calibration isn’t clear. In this research, the measurement of erosion and sediment yield of 10 basins upstream of reservoirshas been estimated by RUSLE and MPSIAC empirical models.In order to compare means between measured and estimated datat-test method was applied.Theresults indicated no significant differences between means of measured and estimated sediment yield in MPSAIC model in 5% level. In contrast, T-test showed contrary results in RUSLE model. Then the applicability and priority of two models were examined by statistical methodssuch as MAE and MBE methods. By regarding to accuracy and precision, MPSIAC model placed in first priorityto estimate soil erosion and sediment yield and has minimum value of MAE=0.79 and MBE = -0.59.

Keywords: Erosion-Sediment models, MPSIAC, RUSLE, Micro Catchments

References

Daroussin, J., King D., 2001. Mapping erosion risk for cultivated soil in France, Catena 46, 207-220.

Jhonson, C. W., Gembhart, A.C., 1982. Predicting sediment yield from Sagerbrush range lands. USDA SEAARM Western Series 26, 145-156.

Lufafa, A., Tenywa, M.M., Isabirye, M., Majaliwa, M.J.G., Woomer., P.L., 2003. Prediction of soil erosion in alake victoria basin catchment using a GIS- based universal soil loss model. Agricultural Systems 76, 883-894.

Nearing, M. A., Govers, G., Norton., L.D., 1999. Variability in soil erosion data from replicated plots. Soil Science Society America Journal 63, 1829-1835.

Rahmani, M., Hadian Amri, M,E., Mollaaghajanzadeh., S., 2004. Application satellite data and GIS to estimate soil erosion and sediment yield in MPSIAC model (case study: Shrafkhane watershed, Shabestar). Collection of erosion and sediment papers, 2004.

Rastgoo Ghahreman, S., Senayeenejad, H., Daavari, K., Khodashenas, S. 2006. Estimating soil erosion and sediment yield in Tang Konasht watershed with MPSIAC , EPM and GIS. Agriculture and Natural Resources Journal 91-104

Renard, K.G., Foster, G.R., Weesies, G.A., McCool, D.K., Yoder, D.C., 1997. Predicting soil erosion by water: a guide to conservation planning with the Revised Universal Soil Loss Equation (RUSLE), USDA-ARS, Agricultural Handbook No. 703.

Renschler, C.S., Harbor, J., 2002. Soil erosion assessment tools from point to regional scales-the role of geomorphologists in land management research and implementation. Geomorphology 47, 189–209.

Sadeghi, H., 1993. Comparison of some erosion potential and sediment yield assessment models in Ozon-Dareh sub-catchment. Proceedings of the National Conference on Land Use Planning, Tehran, Iran 1993.

Stocking, M., Murnaghan, N., 2001. Handbook for the Field Assessment of Land Degradation. London: Earthscan Publication, UK.

Wischmeier, W.H., Smith, D.D., 1965. Predicting rainfall-erosion losses from cropland east of the Rocky Mountains: guide for selection of practices for soil and water conservation, USDA Agricultural Handbook, No. 282.

Wischmeier W.H., Smith D., 1978. Predicting rainfall erosion losses: a guide to conservation planning. USDA Agriculture Handbook No. 537.



Eurasian Journal of Soil Science