پیش بینی اثرات اقدامات اصلاحی بر خصوصیات رواناب سطحی و میزان فرسایش خاک در آبخیز بنکوه حوضه رودخانه حبله رود

1.Ahiablame, L., Engel, B.A., and Chaubey,I. 2012. Representation and evaluation oflow impact development practices with LTHIA-LID: an example for site planning.Environ. Poll. 1: 2. 34-45.
2.Akbarifard, S., Qaderi, K., andAliannejad, M. 2017. Parameterestimation of the nonlinear Muskingumflood-routing model using water cyclealgorithm, J. Water. Manage. Res.8: 16. 33-43.
3.Arekhi, S., and Niazi, Y. 2010.Investigating application of GIS and RSto estimate soil erosion and sedimentyield using RUSLE (Case study: Upperpart of Ilam Dam Watershed, Iran), J.Water Soil Cons. 17: 2. 1-28. (In Persian)
4.Bagarello, V., Di Stefano, C., Ferro, V.,Giordano, M., and Pampalone, V. 2012.Estimating the USLE soil erodibilityfactor in Sicily, south Italy. Appl. Eng.Agric. 28: 2. 199-206.
5.Bahremand, A., Smedt, F., Corluy, J.,Liu, Y.B., Poorova, J., Velcicka, L., andKunikova, E. 2006. Application ofWetSpa model for assessing land useimpacts on floods in the MargecanyHornasd Watershed. Slovaia. J. WaterSci. Technol. 53: 10. 37-45.
6.Bai, M., Sadoddin, A., and SalmanMahini, A.R. 2014. Prediction of theeffects of implementing ecologicalmanagement scenarios on landscapestructure for Chehel - Chai Watershed in
Golestan province of Iran. J. Geograph.Space. 13: 44. 19-46. (In Persian)
7.Binh, Ph.D., Wu, Ch., and Hsieh, Sh.2010. Land use change effects ondischarge and sediment yield of Song Cau Catchment in northern Vietnam. J.Environ. Sci. Engin. 5: 1. 92-101.
8.Bonilla, C., José, A., Reyes, L., and Magri,A. 2010. Water erosion prediction usingthe revised universal soil loss equation(RUSLE) in a GIS framework, centralChile. J. Agric. Res. 70: 1. 159-169.
9.Fallah Suraki, M., Kavian, A., andOmidvar, E. 2015. Zoning of soil erosion hazard in the Haraz Watershed by using model RUSLE2. National Conference on Climate Change and Engineering
Sustainable Agriculture and Natural Resources, Tehran- September 17.
10.Farhan, Y., Dalal, Z., and Farhan, I.2013. Spatial estimation of soil erosion risk using RUSLE approach, RS and GIS techniques: A case study of the Kufranja Watershed, northern Jordan. J.
Water Resour. Prot. 5: 12. 1247-1261.
11.Ganasri, B., and Ramesh, H. 2015. Assessment of soil erosion by RUSLE model using remote sensing and GIS - A case study of Nethravathi Basin.Geoscience Frontiers. Pp: 1-9.
12.Habibi, H., Amir Safari, A., and Karam, A. 2016. Determining of the amount of sediment yield Marl lands in watershed inrainfall simulator scale. J. Water. Engin.Manage. 8: 3. 275-289. (In Persian)
13.Haregeweyn, N., Poesen, J., Verstraeten,G., Govers, G., de Vente, J., Nyssen, J.,Deckers, J., and Moeyersons, J. 2012.Assessing the performance of a spatiallydistributed soil erosion and sediment
delivery model (WATEM/SEDEM) inNorthern Ethiopia. Land Degrad. Dev.24: 2. 188-204.
14.Jafarian, Z., Beshtar, V., and Kavian, A.2017. Simulation effects of improvementand restoration operations of rangeland on soil loss using RUSLE model,Physical Geography research quarterly.
49: 1. 55-69. (In Persian)
15.Kamaludin, K., Lihan, T., Ali Rahman,Z., Mustapha, M., Idris, W., and Rahim,S. 2013. Integration of remote sensing,RUSLE and GIS to model potential soilloss and sediment yield (SY). Hydrol.
Earth System Sci. 10: 4567-4596.
16.Karimi Sangchini, E., Ownegh, M.,Sadoddin, A., Tahmasebi Pur, N., andRezaee, H. 2017. A system dynamicsmodel to predict the effects ofvegetation-based management scenarioson structural landscape ecology inHablehrud River Basin, WatershedEngineering and Management. 9: 1. 58-70.
(In Persian)
17.Keshtkar, A.R., Salajegheh, A.,Sadoddin, A., and Allan, M.G. 2013.Application of Bayesian networks forsustainability assessment in catchmentmodeling and management, case
study: the Hablehrood river catchment.Ecological Modeling. 268: 48-54.
18.Lamba, J., Thompson, A., Karthikeyan,K.G., Panuska, J., and Good, L.2016. Effect of best managementpractice implementation on sedimentand phosphorus load reductions at
subwatershed and watershed scale usingSWAT model, Inter. J. Sed. Res.31: 386-394.
19.Li, N., Xu, Y., and Guo, H.C. 2007.Analysis of Long-Term Impact ofurbanization on surface runoff inXitiaoxi river basin. EnvironmentalInformatics Archives. 5: 346-353.
20.Lim, K.J., Choi, J., Kim, K., Sagong,M., and Engel, B.A. 2003. Development of sediment assessment tool for effective erosion control (SATEEC) in smallscale watershed. Transactions of the
Korean Society of Agricultural Engineers.45: 5. 85-96.
21.Liu, Y., Ahiablame, L., Bralts, V., and Engel, B. 2015. Enhancing a rainfallrunoff model to assess the impacts of BMPs and LID practices on storm runoff, J. Environ. Manage. 147: 12-23.
22.Liu, Y., Bralts, V.F., and Engel, B.A. 2015. Evaluating the effectiveness of management practices on hydrology and water quality at watershed scale with a rainfall-runoff model. Science of the
Total Environment. 511: 298-308.
23.Moghaddam, M.R. 2011. Range and range management, Tehran University Press, 470p. (In Persian)
24.Mohammadi, M., Fallah, M., Kavian, K., Gholami, L., and Omidvar, E. 2017.The application of RUSLE Model inspatial distribution determination of soilloss Hazard. J. Ecohydrol. 3: 4. 645-658.
(In Persian)
25.Moore, I.D., and Wilson, J.P. 1992.Length slope factor for the RevisedUniversal Soil Loss equation: simplifiedmethod of solution. J. Soil Wat. Corner.47: 5. 423-428.
26.Mtibaa, S., Hotta, N., and Irie, M.2018. Analysis of the efficacy and costeffectiveness of best managementpractices for controlling sediment yield:A case study of the Joumine watershed,
Tunisia, Science of the Total Environment.617: 1-16.
27.Mwangi, J.K., Shisanya, C.A.,Gathenya, J.M., Namirembe, S., andMoriasi, S. 2015. A modeling approachto evaluate the impact of conservationpractices on water and sediment yield in
Sasumua Watershed, Kenya. Soil andWater Conservation. 70: 2. 75-90.
28.Nkwunonwo, U.C., Whitworth, M., andBaily, B. 2015. A Review and criticalanalysis of the efforts towards urbanflood reduction in the lagos region ofNigeria, Nat., Hazards Earth Syst., Sci.
Discuss. Pp: 3897-3923.
29.Noori, Z., Salajegheh, A., Malekian,A., and Moghadamnia, A. 2018.Investigating the effects of bestmanagement practices on the reductionof point and non-point source pollutionof water using SWAT model (CaseStudy: Seimareh River). Iran. J. SoilWater Res. 48: 5. 995-1006. (In Persian)
30.Pandey, A., Chowdary, V., and Mal, B.2007. Identification of critical erosionprone areas in the small agriculturalwatershed using USLE, GIS and remotesensing. Water Resources Management.
21: 4. 742-746.
31.Perry, P., and Nawaz, R. 2008. Aninvestigation into the extent and impactsof hard surfacing of domestic gardens inan area of Leeds, United kingdom.Landscape and Urban Planning. 86: 1-13.
32.Renard, K.G., and Freimund, J.R. 1994.Using monthly precipitation data toestimate the R factor in the revisedUSLE. J. Hydrol. 157: 287-306.
33.Sadeghi, S.H.R., and Saeidi, P. 2010.Reliability of sediment rating curves fora deciduous forest watershed in Iran. J.Hydrol. Sci. 55: 5. 821-831.
34.Sadeghi, S.H.R., Moatamednia, M., andBehzadfar, M. 2011. Spatial andtemporal variations in the RainfallErosivity Factor for Iran. J. Agr. Sci.Tech. 13: 451-464.
35.Sadoddin, A., Letcher, R.A., Jakeman,A.J., Croke, B.W., and Newham, L.T. H.2011. A Bayesian model decisionsupport system for salinity management.First International Conference of
Sustainable Watershed Management(SuWaMa), Istanbul, Turkey.
36.Sadoddin, A., Shahabi, M., and Bai, M.2017. Integrated watershed assessmentand management Principles andapproaches for modeling and decisionmaking. Gorgan University ofAgricultural Sciences and NaturalResources Publishing. 170p. (In Persian)
37.Sekara, W.G., Gupta, N.A., Valeo, C.,Hasbani, J.G., Qiao, Y., Delaney, P. andMarceau, D.J. 2012. Assessing theimpact of future land-use changes onhydrological processes in the ElbowRiver watershed in southern Alberta,Canada. J. Hydrol. 4: 41. 220-232.
38.SheshukovKyle, A., Douglas-Mankin, K.,Sinnathamby, S., and Daggupati, P. 2016.Pasture BMP effectiveness using anHRU-based subarea approach in SWAT,J. Environ. Manage. 166: 276-284.
39.Solaimani, K., Modallaldoust, S., andLotfi, S. 2009. Investigation of land usechanges on soil erosion process usinggeographical information system. Inter.J. Environ. Sci. Technol. 6: 3. 415-424.
40.Tang, Z., Engel, B.A., Pijanowski, B.C.,and Lim, K.J. 2005. Forecasting landuse change and its environmental impactat a watershed scale. Environmentalimpact at a watershed scale. J. Environ.
Manage. 76: 45-35.
41.Teh, S.H. 2011. Soil erosion modelingusing RUSLE and GIS on CAMERONHIGHLANDS,MALAYSIA forhydropower development, A 30 ECTScredit units Master´s thesis, Pp: 1-71.
42.Turner, B.L., Moss, R.H., and SKole,D.L. 1993. Relating land use and globalLand-cover change: A proposal for anIGBP- HDP core project global changereport, Stokholm, Sweden. Pp: 221-223.
43.Van der Knijff, J.M., Jones, R.J.A., andMontanarella, L. 2000. Soil erosion riskassessment in Europe, EUR19044 EN.Office for Official Publications of theEuropean Communities, Luxembourg,
34p.
44.Vipul Shinde, K., Tiwari, S., andManjushree, S. 2010. Prioritization ofmicro watersheds on the basis of soilerosion hazard using remote sensing andgeographic information system. J. Water
Resour. Environ. Engin. 2: 3. 130-136.
45.Wang, G., Gertner, G., Fang, S., andAnderson, A.B. 2003. Mapping multiplevariables for predicting soil loss bygeostatistical methods with TM imagesand a slope map. Photogrammetric
Engineering and Remote Sensing.69: 8. 889-898.
46.Yang, L., Ma, K., Guo, Q., and Bai, X.2008. Evaluating long-term hydrologicalimpacts of regional urbanisation inHanyang, China, using a GIS model andremote sensing. J. Sust. Dev. World
Ecol. 15: 350-356.