Regarding the importance of watersheds in arid and semi-arid regions, it is necessary to better protect water supplies such as dam reservoirs. The most efficient way of conserving water sources is to apply proper management to decrease erosion and sedimentation. The first step of this process is to be aware of sediment yield (Q s)/production and identify erosive zones in upper reach of reservoirs. The present study aims to evaluate Q s and production in Pacific Southwest Inter-Agency Committee (PSIAC) and modified PSIAC (MPSIAC) models by using satellite data, GIS analysis, and field observations. According to the results, the study area can be categorized into five erosive classes: very high, high, moderate, low and negligible. The east part of the watershed is slightly eroded due to its hard surface geology and relatively flat topography characteristics, while the northern and southern parts of the basin are highly eroded because of the high erodibility potential of soil and intensive cultivation of the area. A comparison of the output maps from PSIAC and MPSIAC models showed that the calculated Q s in most parts correspond well in both models and with field observations. The results of regression between main determining factors (surface geology, soil, topography and land cover) and Q s derived from each model indicated moderate to strong correlation coefficient (R 2 = 0.436−0.996 to 0.893–0.998) after PSIAC and MPSIAC models, respectively.
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Aide T M, Cavelier J (1994). Barriers to low land tropical forest restoration in the Sierra Nevada de Santa Marta. Columbia. Restor Ecol, 2(4): 219–229
Aide T M, Zimmerman J K, Herrera L, Rosario M, Seran M (1995). Forest recovery in abandoned tropical pastures in Puerto Rico. For Ecol Manage, 77(1–3): 77–86
Bazzoffi P (1985). Methods for net erosion measurement in watersheds as a tool for the validation of models in central Italy. In:Workshop on Soil Erosion and Hillslope Hydrology with Emphasis on Higher Magnitude Events, Leuven, Belgium
Clark K B (2001). An estimate of sediment yield for two small sub catchments in a geographic information system. Dissertation for the Doctoral Degree, University of New Mexico, Albuquerque, Mexico
de Koning G H J, Veldkamp A, Fresco L O (1998). Land use in Ecuador: a statistical analysis at different aggregation levels. Agric Ecosyst Environ, 70(2–3): 231–247
de Vente J, Poesen J (2005). Predicting soil erosion and Q s at the basin scale: scale issues and semi-quantitative models. Earth Sci Rev, 71(1–2): 95–125
Erskine W D, Mahmoudzadeh A, Myers C (2002). Land use effects on Q s and soil loss rates in small basins of Triassic sandstone near Sydney, Australia. Catena, 49(4): 271–287
Feyznia S (1995). Rocks strength against erosion factors in different climates of Iran. Journal of the Natural Resources of Iran, 47: 95–116 (in Persian)
Johnson C W, Gembhart K A (1982). Predicting sediment yields from sagebrush rangelands. In: Agricultural Research Service, ed. Estimating Soil Erosion and Sediment Yields on Ragelands. Agricultural Reviews and Manuals-W-26. Department of Agriculture, ARS, Tucson, USA, 145–156
Lageras P, Sandgren P (1994). The use of mineral analysis in identifying middle and late Holocene agriculture—a study of peat profiles in Smaland, Southern Sweden I. Arch Sci, 21(5): 687–697
Le Bissonais Y, Montier C, Jamagne M, Daroussin J, King D (2002). Mapping erosion risk for cultivated soil in France. Catena, 46(2–3): 207–220
Lin C Y, Lin W T, Chov W C (2002). Soil erosion prediction and sediment yield estimation: the Taiwan experience. Soil Tillage Res, 68: 143–152
Martinez-Casasnovas J A (2003). A spatial information technology approach for the mapping and quantification of gully erosion. Catena, 50(2–4): 293–308
Mati B M, Morgan R P C, Gichuki F N, Quinton J N, Brewer T R, Liniger H P (2000). Assessment of erosion hazard with the USLE and GIS: a case study of the upper Ewaso Ng’iro North Basin of Kenya. Int J Appl Earth Obs Geoinf, 2(2): 78–86
Meade R H, Yuzyk T R, Day T J (1990). Movement and storage of sediment in rivers of United States of America. In: The Geology of North America. Dordrecht: Kluwer Academic Publishers, 255–280
Milliman J D, Syvitski J P M (1992). Geomorphologie/teetonic control of sediment discharge to the ocean: the importance of small mountainous rivers. J Geod, 100: 525–544
Millward A A, Mersey J E (2001). Conservation strategies for effective land management of protected areas using an erosion prediction information system (EPIS). J Environ Manage, 61(4): 329–343
Passmore D G, Macklin M G (1994). Provenance of fine grained alluvium and late Holocene land-use change in the Tyne Basin, Northern England. Geomorphology, 9(2): 127–142
Pacific Southwest Inter-Agency Committee (1968). Factors Affecting Sediment Yield in the Pacific Southwest Area and Selection and Evaluation of Measures for Reduction of Erosion and Sediment Yield. Water Management Subcommittee on ASCE, Report No. HY12, 1998
Qiao Y L, Qiao Y (2002). Fast soil erosion investigation and dynamic analysis in the Loess Plateau of China by using information composite technique. Adv Space Res, 29(1): 85–88
Rafaelli S G, Montgomery D R, Greenberg H M (2001). A comparison of thematic mapping of erosional intensity to GIS-driven process models in an Andean drainage basin. J Hydrol, 244(1–2): 33–42
Raghunath J (2002). Potential erosion map for Bagmati basin using GRASS-GIS. In: Proceeding of the Open Source GIS-GRASS Users Conference, 11th–13th September, Trena, Italy
Refahi H, Nematti M (1995). Erodibility assessment of the Alamout sub catehment and its effect on the sediment yield. J Agric Sci Iran, 26: 48–56
Sahin S, Kurum E (2002). Erosion risk analysis by GIS in environmental impact assessments: a case study—Seyhan Köprü Dam construction. J Environ Manage, 66(3): 239–247
Shrimali S S, Aggarwal S P, Samra I S (2001). Prioritizing erosion-prone areas in hills using remote sensing and GIS–a case study of the Sukhna Lake catchment, Northern India. Int I Applied Earth Observ. Geoinform, 3(1): 54–60
Szilassi P, Jordan G, van Rompaey A, Csillag G (2006). Impacts of historical land use changes on erosion and agricultural soil properties in the Kali Basin at Lake Balaton, Hungary. Catena, 68: 96–108
Tangestani M H (2001). Integrating geographic information systems in erosion and sediment yield applications using the erosion potential method (EPM). In: Proceedings of the 015 Research UK, 9th Annual Conference, 18th–20th April, University of Glamorgan, Wales, UK, 621–623
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. J Asian Earth Sci, 27: 585–597
Thornton P K, Jones P O (1998). A conceptual approach to dynamic agricultural land use modeling. Agric Syst, 57(4): 505–521
Veldkamp A, Fresco L O (1996). CLUE: a conceptual model to study the conversion and its effects. Ecol Modell, 85(2–3): 253–270
Williams J R, Berndt H D (1972). Sediment yield computed with universal equation. J Hydraul Div ASCE, 98(HY2): 2087–2098
Wischmeier W H, Smith D D (1978). Predicting Rainfall Erosion Losses: A Guide to Conservation Planning. Agricultural Handbook, No. 537. Department of Agriculture, Washington DC, USA
Woida K, Moines D, Clark K B (2001). A GIS application of PSIAC for predicting sediment-yield rates. Seventh Federal Interagency Sedimentation Conference. USGS, Report No. 25-32
Mohammad Reza Mansouri Daneshvar obtained his B.S. and M.S. degree in Urban Planning and Geomorphology-Environmental Planning, respectively at Department of Urbanism and Department of Geography, respectively at Islamic Azad University, Mashhad Branch, Iran. He now is a Ph.D. candidate in Climatology-Environmental Planning at Department of Geography at University of Sistan and Baluchestan, Zahedan, Iran. His scientific experiences are including Urban and Regional Planning, Eco-tourism and Geo-tourism Planning, Land-use Evaluation and Geographical Information System, which are applied in many consultant engineering projects and plans. Likewise, his interested research subjects are including Environment and Geo-sciences, Climatic Changes, Geomorphologic Phenomena and Natural Hazards Assessment. He has a scientific weblog: www.mrmd.blogfa.com (in Persian).
Ali Bagherzadeh obtained his B.S. degree in Agricultural Engineering-Soil Science at the Faculty of Agriculture, University of Ahwaz, Iran. He received his M.S. and Ph.D. degrees in Agricultural Engineering-Plant Production and Forest Sciences-Ecological Soil Science at Department of Agriculture and Department of Soil Science and Forest Nutrition, respectively at Georg-August University of Göttingen, Germany. Furthermore, he passed the course of Sugar Technology at Technical University of Berlin, Germany. Now Dr. Ali Bagherzadeh is an Assistant professor and Head master of Department of Agriculture, Islamic Azad University, Mashhad Branch, Iran. His scientific experiences are including Ecological Soil Sciences, Land Suitability Evaluation and Land Use Planning as well as Geographical Information System. Likewise, his interested research subjects are including Natural Resources Assessment and Land Conservation.
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Daneshvar, M.R.M., Bagherzadeh, A. Evaluation of sediment yield in PSIAC and MPSIAC models by using GIS at Toroq Watershed, Northeast of Iran. Front. Earth Sci. 6, 83–94 (2012). https://doi.org/10.1007/s11707-011-0189-7