ارزیابی و پیش‌بینی خطر فرسایش خاک در حوضه سراسکندچای با استفاده از مدل USLE و GIS

ـ گزارش مطالعات خاکشناسی تفصیلی دقیق باغات پایاب سد سهند هشترود (1384)، شرکت سهامی آب منطقه­ای آذربایجان­شرقی و اردبیل.

- مطالعات خاکشناسی نیمه­تفصیلی دقیق اراضی پایاب سد خرمدرق (1384)، شرکت سهامی آب منطقه­ای آذربایجان شرقی و اردبیل.

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-Amorea, E., Modicaa, C., Nearingb, M., Santoroa, V. (2004), “Scale effect in USLE and WEPP application for soil erosion computation from three Sicilian basins”, Journal of Hydrology, 293: 100–114.

-Auerswald, K., Fiener, P., Dikau, R. (2009), “Rates of sheet and rill erosion in Germany-A meta-analysis’, Geomorphology, 111:182–193.

-Beskow, S., Mello, C., Norton, L., Curi, M., Viola, M., Avanzi, J. (2009), “Soil erosion prediction in the Grande River Basin, Brazil using distributed modeling”, Catena, 79:49–59.

-Chi, Z., Yao, Z., Shen, S., Hiroyuki, N., Haruyoshi, I., Peng, C., Jun, F. (2008), “Development of GIS-based FUSLE model in a Chinese fir forest sub-catchment with a focus on the litter in the DabieMountains”, China, Forest Ecology and Management, 255: 2782–2789.

-Cohena, M., Shepherdb, M., Walsh, M., (2005), “Empirical reformulation of the universal soil loss equation for erosion risk assessment in a tropical watershed”, Geoderma, 124:235–252.

-Dumas, P., Printemps, J., Mangeas, M., Luneau, G. (2010), “Developing erosion models for integrated coastal zone management: A case study of The New Caledonia west coast”, Marine Pollution Bulletin, 61:519–529

-Fu, G., Chen, S., McCool, D. (2006), “Modeling the impacts of no-till practice on soil erosion and sediment yield with RUSLE, SEDD, and ArcView GIS”, Soil & Tillage Research, 85:38–49.

-Kinnell, P. (2000), “AGNPS-UM: applying the USLE-M within the agricultural non point source pollution model”, Environmental Modelling & Software, 15: 331–341.

-Lin, C., Lin, W., Chou, W. (2002),” Soil erosion prediction and sediment yield estimation:the Taiwan experience”, Soil & Tillage Research, 68:143–152.

-Lin, W., Tsai, J., Lin, G., Huang, P. (2008), “Assessing reforestation placement and benefit for erosion control: A case study on the Chi-Jia-Wan Stream”, Taiwan, Ecological Modeling, 2 1 1: 444–452.

-Lufafaa, A., Tenywaa, M., Isabiryeb, M., Majaliwaa, M., Woomer, P. (2003), “Prediction of soil erosion in a Lake Victoria basin catchment using a GIS-based UniversalSoil Loss model”, Agricultural Systems, 76: 883–894.

-Mannaerts, C., Gabriels, D. (2000), “A probabilistic approach for predicting rainfall soil erosion losses in semiarid areas”, Catena, 40:403–420.

-Marques, M., Bienes, R., Jiménez, L., Rodríguez, R. (2007), “Effect of vegetal cover on runoff and soil erosion under light intensity events”, Rainfall simulation over USLE plots, Science of the Total Environment, 378: 161–165.

-Pelacani, S., Märke, M., Rodolfi, G. (2008), “Simulation of soil erosion and deposition in a changing land use: A modelling approach to implement the support practice factor”, Geomorphology, 99: 329–340

-Ranieria, S., Liera, Q., Sparoveka, G., Flanagan, D. (2002), “Erosion database interface (EDI): a computer program for georeferenced application of erosion prediction models”, Computers & Geosciences, 28:  661–668.

-Shamshad, A., Azhari, M., Isa, M., Hussin, W., Parida, B. (2008), “Development of an appropriate procedure for estimation of RUSLE EI30 index and preparation of erosivity maps for Pulau Penang in Peninsular Malaysia, Catena”, 72:423-432.

-Terranova, O., Antronico, L., Coscarelli, L., Iaquinta, P. (2009), “Soil erosion risk scenarios in the Mediterranean environment using RUSLE and GIS: An application model for Calabria (southern Italy)”, Geomorphology, 112: 228–245

-Vaezi, A., Sadeghi, SH., Bahrami, H., Mahdian, M. (2008), “Modeling the USLE K-factor for calcareous soils in northwestern Iran”, Geomorphology, 97: 414–423

-Zhou., W. & Bingfang, W. (2008), “Assessment of soil erosion and sediment delivery ratio using remote sensing and GIS: a case study of upstream ChaobaiheRiver catchment, north China”, International Journal of Sediment Research, 23: 167-173.