آمار
| تعداد نشریات | 13 |
| تعداد شمارهها | 639 |
| تعداد مقالات | 6,656 |
| تعداد مشاهده مقاله | 9,110,127 |
| تعداد دریافت فایل اصل مقاله | 8,574,857 |
Water erosion prediction using Revised Universal Soil Loss Equation and GIS: A case study of Gorganrud Basin | ||
| Environmental Resources Research | ||
| مقاله 2، دوره 6، شماره 2، مهر 2018، صفحه 103-117 اصل مقاله (4 M) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22069/ijerr.2018.11377.1162 | ||
| نویسندگان | ||
| S. Abedian1؛ A. Salmanmahiny2 | ||
| 1University of Payam-e-noor, Kerman, Iran. | ||
| 2Gorgan University of Agricultural Science and Natural Resources, Gorgan, Iran. | ||
| چکیده | ||
| Soil erosion and sedimentation processes can be considered as serious eco-environmental problems. This study aimed to estimate the basin-wide erosion using the Revised Universal Soil Loss Equation (RUSLE). The soil erosion parameters included rainfall erosivity map generated from the rainfall data, soil erodibility extracted from the soil map, land cover and management map produced from supervised classification of Landsat ETM+ data, and a Digital Elevation Model (DEM) to generate the slope length and steepness factor (LS) maps. Support practice map was assumed as 1 as there were no significant conservation practices. Then, the six thematic layers were integrated based on RUSLE model in GIS environment, and the spatial distribution of soil loss in the Gorganrud Basin was achieved. The distribution of erosion risk was 42.5% for low, 30.33% for moderate, and 27.17% for severe classes. The highest amount of erosion occurred in the northwest to northeast and eastern regions with lithological units including loess, young terraces and alluvial deposits and agricultural use despite the fact that LS factors in these areas were less than 10. In the central and southern parts of the basin, in spite of the high values of LS factor (15–55), these areas depicted low to moderate erosion potential. This is supposed to be due to the dense forest coverage in the region that decreases the energy of rain droplets. The soil erosion risk map can be used for rapid assessment of the effects of environmental changes and watershed management interventions. | ||
| کلیدواژهها | ||
| Soil erosion؛ Erosion risk؛ watershed management؛ RUSLE | ||
| مراجع | ||
|
Angima, S.D., Stott, D.E., Oneill, M.K., Ong, C.K., and Weesies, G.A. 2003. Soil erosion prediction using RUSLE for central Kenyan highland conditions. Journal of Agriculture, Ecosystem & Environment, 97 (1), 295-308.
Arriaga, F., and Lowery, B. 2003. Erosion and productivity. Encyclopedia of water science. New York, Marcel Dekker, 1, 222-224.
Devatha, C.P., Deshpande, V., and Renukaprasad, M.S. 2015. Estimation of soil loss using USLE model for Kulhan Watershed, Chattisgarh. Journal of Aquatic Procedia, 4(2015), 1429-1436.
Dorren, L., Bazzoffi, P., Sánchez Díaz, J., Arnoldussen, A., Barberis, R., Berényi Üveges, J., and et al. 2004. Working Group on Soil Erosion Task Group III on Impacts of soil erosion. European commission directorate- general environment. Multi-stakeholder Working Group Reports Soil Thematic Strategy, p. 1-20.
Dumas, P., and Printemps, J. 2010. Assessment of soil erosion using USLE model and GIS for integrated watershed and coastal zone management in the South Pacific Islands. In Proceedings Interpraevent, International Symposium in Pacific Rim, Taipei, Taiwan. Pp. 856-866.
Farhan, Y., Zregat, D., and Farhan, E. 2013. Spatial estimation of soil erosion risk using RUSLE approach, RS and GIS techniques: A case study of Kufranja watershed, northern Jordan. Journal of Water Resource and Protection, 5 (12), 1247-1261. Galdavi, S., Mohammadzade, M., Salman Mahiny, A., Nejafi Nejad, A. 2013. Forest Change Modeling Using Logistic Regression in the period of 1988- 2007. Journal of Geographic space, 14(46), 51-70.
Ganasri, B.P., and Ramesh, H. 2016. Assessment of soil erosion by RUSLE model using remote sensing and GIS: A case study of Nethravathi Basin. Journal of Geoscience Frontiers, 7(6), 953-961.
Hyeon, S.K., and Pierre, Y.J. 2006. Soil erosion modeling using RUSLE and GIS on the IMHA watershed. Journal of Water Engineering Research, 7 (1), 29-41.
Jain, M.K., Mishra, S.K., and Shah, R.B. 2010. Estimation of sediment yield and areas vulnerable to soil erosion and deposition in a Himalayan watershed using GIS. Journal of Current Science, 98(2), 213-221.
Karaburun, A. 2010. Estimation of C Factor for Soil Erosion Modeling Using NDVI in Buyukcekmece Watershed. Ozean Journal of Applied Sciences, 3 (1), 77-85.
Kheyrodin, H. 2016. Modeling soil erosion in Iran. Innovate International Journal of Medical & Pharmaceutical Sciences, 1(1), 12-16
Kouli, M., Soupios, P., and Vallianatos, F. 2009. Soil erosion prediction using the revised universal soil loss equation (RUSLE) in a GIS framework, Chania, Northwestern Crete, Greece. Journal of Environmental Geology, 57(3), 483-497.
Li, Z.G., and Luo, Z.D. 2006. On method for evaluating soil erosion severity in country scale-index of soil erosion severity and its application. Journal of Bull Soil Water Conservation, 26, 41-51.
Liu, B.Y., Nearing, M.A., Shi, P.J., and Jia, Z.W. 2000. Slope length effects on soil loss for steep slopes. Journal of Soil Science Society of America, 64(5), 1759–1763.
Mhangara, P., Kakembo, V., and Lim, K. 2012. Soil Erosion Risk Assessment of the Keiskamma Catchment, South Africa Using GIS and Remote Sensing. Environmental Earth Science, 65(7), 2087-2102.
Myneni, R.B., Keeling, C.D., Tucker, C.J., Asrar, G., and Nemani, R.R. 1997. Increased plant growth in the northern high latitudes from 1981 to 1991. Journal of Nature, 386(6626), 698–702.
Panda, S.S., Ames, D.P., and Panigrahi, S. 2010. Application of vegetation indices for agricultural crop yield prediction using neural network techniques. Journal of Remote Sens, 2(3), 673–696.
Panagos, P., Borrelli, P., Poesen, J., Ballabio, C., Lugato, E., Meusburger, K., Montanarella, L. and Alewell, C. 2015. The new assessment of soil loss by water erosion in Europe. Environmental Science & Policy, 54, 438-447.
Pathaka, P., Sahrawat, K.L., Rego, T.J., and Wani, S.P. 2005. Measurable biophysical indicators for impact assessment: changes in soil quality. Natural resource management in agriculture: Methods for assessing economic and environmental impacts, 53-74.
Ranzi, R., Le, T.H., and Rulli, M.C. 2012. A RUSLE approach to model suspended sediment load in the Lo river (Vietnam): Effects of reservoirs and land use changes. Journal of Hydrology, 422–423, 17–29.
Renard, K.G., Foster, G.R., Weesies, G.A., McCool, D.K., and Yoder, D.C. 1997. Prediction soil erosion by water: a guide to conservation planning with the Revised Universal Soil Loss Equation. Agricultural handbook No. 703. US Government Printing Office. Washington, DC.
Renard, K.G., and Freimund, J.R. 1994. Using monthly precipitation data to estimate the R factor in the revised USLE. Journal of Hydrology, 157(1-4), 287-306.
Ritter, W.F., and Shirmohammadi, A. 2000. Agricultural nonpoint source pollution: watershed management and hydrology: CRC Press.
Rojas González, A.M. 2008. Soil erosion calculation using RS and GIS in Río Grande De Are-cibo watershed, Puerto Rico. Proceedings ASPRS 2008 Annual Conference Bridging the Horizons: New frontiers in geospatial collaboration, Portland, Oregon. April 28th–May 2nd.
Safamanesh, R., Sulaiman, W.N.A., and Ramli, M.F. 2006. Erosion risk assessment using an empirical model of pacific south west inter agency committee method for Zargeh watershed, Iran. Journal of Spatial Hydrology, 6(2), 105-120.
Saha, S.K. 2003. Water and wind induced soil erosion assessment and monitoring using remote sensing and GIS. In: Satellite Remote Sensing and GIS Applications in Agricultural Meteorology. Proceedings of the training workshop, 7-11 July, 2003, Dehra Dun, India, 315-330.Shit, P.K., Nandi, A.S., and Bhunia, G.S. 2015. Soil erosion risk mapping using RUSLE model on Jhargram sub-division at West Bengal in India. Modeling Earth Systems and Environment, 1(3), 28-40.
The management and planning organization, 2007. Office of Maps and Spatial Information in Golestan Province. Iran.
UNDP. 1999. Human Development Report of Islamic Republic of Iran. Chapter 8, p.109-121.
Van der Knijff, J.M., Jones, R., and Montanarella, L. 2000. Soil erosion risk assessment in Europe. EUR 19044 EN. Office for official publication of the European Soil Bureau, 38pp.
Wischmeier, W.H., and Smith, D.D. 1978. Prediction rainfall erosion losses: a guide to conservation planning. Agriculture handbook No. 537. US Department of Agriculture Science and Education Administration, Washington, DC, USA, 163 pp.
Zuazo, V.H.D., and Pleguezuelo, C.R.R. 2008. Soil-erosion and runoff prevention by plant covers. A review. Agronomy for sustainable development, 28(1), 65-86. | ||
|
آمار تعداد مشاهده مقاله: 507 تعداد دریافت فایل اصل مقاله: 659 |
||
سامانه مدیریت نشریات علمی. طراحی و پیاده سازی از سیناوب