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Soil erosion and sediment mapping in Aidoghmoush watershed appling MPSIAC model and GIS and RS technologies | ||
| Environmental Resources Research | ||
| مقاله 4، دوره 5، شماره 1، فروردین 2017، صفحه 35-49 اصل مقاله (1.02 M) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22069/ijerr.2017.9991.1119 | ||
| نویسندگان | ||
| Rasoul Daneshfaraz1؛ Mehdi Rahmati* 2؛ Pourya Akbari Moghanjiq3 | ||
| 1Department of Civil Engineering, Faculty of Engineering and Technology, University of Maragheh, Maragheh, Iran | ||
| 2Department of Soil Science , faculty of Agriculture, Maragheh, Iran | ||
| 3Department of Civil Engineering, Faculty of Engineering and Technology, IAU of Maragheh, Maragheh, Iran | ||
| چکیده | ||
| Soil erosion is one of the important and worldwide environmental and economic issues. High amount of sediments accumulations behind the different structures such as dams requires several attempts to minimize their potential risks. Therefore, some quantified data will be needed in order to recognize those critical areas which requires urgent conservation. Since conventional procedures are time consuming and costly and usually provide some point-based data, there is a necessity for applying remote sensing (RS) and geographic information system (GIS) for quantifying soil erosion at large scales. In this regard, the current research was carried out in Aidoghmoush watershed to map soil erosion and sediment using MPSIAC model and RS and GIS technologies. Therefore, several information layers including geology, lithology, topography, soil, land cover, and land-use maps beside some data acquired from field assessments, prior investigations, and satellite images were applied in ArcGIS to map soil erosion in study area using MPSIAC model. The results showed that 251 million Kg soil per year is washed out form watershed by water erosion. In the other word, 475 tons soil per square kilometers per year got eroded. The results also revealed that slope and land covers were the most important controlling factors for sedimentation in the watershed. HU1 and HU4 hydrological units (sub-watersheds) showing the higher sediment per area were the most critical areas of the watershed. Contrary, HU3 had the lowest sediment per area. | ||
| کلیدواژهها | ||
| Remote sensing؛ GIS؛ Soil erosion؛ sediment؛ Aidoghmoush watershed | ||
| مراجع | ||
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Anonymous. 1996. Feasibility studies to identify Aidoghmoush watershed, Jahad Engineering Services Company. pp. 1-11. Bagherzadeh, M. 1993. A Study on the Efficiency of Erosion Potential and Sediment Yield Models Using Remote Sensing and Geographic Information Systems. Unpublished M.Sc. Thesis, Natural Resources College, University of Tarbiat Modares, Tehran, Iran (In Persian). Ghaderi, A., Najmaei, M., and Azizifar, V. 2010. Assessment and analysis of erosion and sediment Shahid Rajaei dam's watershed using remote sensing and GIS technologies and MPSIAC model. The first regional conference of Civil Engineering. Ghaemshahr, Iran. Ghanbarzadeh, L. 2012. Application of Geographic Information System (GIS) to assess the soil erosion- Case Study: Shahid YAGHOUBI Watershed The first national conference on the sustainable development of agriculture and a healthy environment. Hamedan, Iran. Hazarika, M.K., and Honda, K. 2001. Estimation of soil erosion using remote sensing and GIS: Its valuation and economic implications on agricultural production. Sustaining the global farm, pp. 1090-1093. Ilanloo, M. 2012. Estimation of soil erosion rates using MPSIAC models (Case study: Gamasiab basin). Inter. International Journal of Agriculture and Crop Sciences.4 (16), 1154-1158. Morgan, R.P.C. 2009. Soil erosion and conservation, John Wiley & Sons. PSIAC. 1968. Report of the water management subcommittee on factors affecting sediment yield in the pacific southwest area and selection and evaluation of measures for reduction of erosion and sediment yield. Roslinah, S., and Norizan, A. 1997. Soil erosion and hydrological study of the Bakun Dam Catchment Area, Sarawak using remote sensing and Geographic Information System (GIS). Proceedings of Asia Conference of Remote Sensing. Roustaei, S., Rasouli, A.A., and Ahmadzadeh, H. 2010. Modeling of the erosion and sedimentation of the Galeh Chai Ajabshir using satellite data and GIS. Geography and Development, 18, 159-178. Sadeghi, H. 1993. Comparison of some erosion potential and sediment yield assessment models in Ozon-Dareh subcatchment. Proceedings of the National Conference on Land Use Planning, Tehran, Iran. Shabanlou, S. 2010. Prediction of the erosion and sediment of the Golestan catchment Using MPSIAC model and GIS technology. The first Conference of Applied Research in Water Resources, pp. 405-420. Shirani, K., Hajihashemi, M.R., and Babolimovakher, H. 2012. Determination of the susceptibility of the geological formations in Maroon watershed to soil erosion using GIS. The first national conference on strategies to achieve sustainable agriculture. Ahvaz, Iran. Tangestani, M.H. 2006. Comparison of EPM and PSIAC models in GIS for erosion and sediment yield assessment in a semi-arid environment: Afzar Catchment, Fars Province, Iran. The Journal of Asian Earth Sciences. 27 (5), 585-597. Wischmeier, W.H., and Smith, D.D. 1978. Predicting rainfall erosion losses-A guide to conservation planning. Predicting rainfall erosion losses-A guide to conservation planning. Yazidhi, B. 2003. A comparative study of soil erosion modelling in Lom Kao-Phetchabun, Thailand.International institute for geo-information science and earth observation enschede, the Netherland. | ||
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