A new approach to estimate cover-management factor of RUSLE and validation of RUSLE model in the watershed of Kartalkaya Dam

Journal of Hydrology

Volumn 528, Issue , 2015, Pages 584-598

  Tanyaş, Hakan ^a,c   Kolat, Çağil ^b   Süzen, M Lütfi ^c  

^a UNIVERSITY OF TWENTE   (Netherlands)

^b Verisis Co RandD Branch   (Turkey)

^c MIDDLE EAST TECHNICAL UNIVERSITY   (Turkey)

Author keywords

Cover management factor; Erosion; GIS; Remote sensing; RUSLE; SEDD

Indexed keywords

BATHYMETRY; CATCHMENTS; EROSION; GEOGRAPHIC INFORMATION SYSTEMS; HYDROGRAPHIC SURVEYS; REMOTE SENSING; SEDIMENTS;

DEPOSITED SEDIMENTS; INFLUENTIAL FACTORS; LABORATORY STUDIES; MANAGEMENT FACTORS; REMOTE SENSING AND GIS; RUSLE; SEDD; SOIL EROSION MODELING;

RESERVOIRS (WATER);

BATHYMETRY; DATA SET; DRAINAGE BASIN; EXPERIMENTAL STUDY; GIS; MODEL VALIDATION; REMOTE SENSING; RESERVOIR; SEDIMENT TRANSPORT; SOIL EROSION; WATERSHED;

KARTALKAYA DAM; TURKEY;

EID: 84937022125     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2015.06.048     Document Type: Article

References (55)

1. Arnoldus, H.M.J., 1977. Methodology used to determine the maximum potential average annual soil loss due to sheet and rill erosion in Morocco. In: Assessing Soil Degradation. FAO Soils Bulletin 34, Rome.
2. Barford C.C., Wofsy S.C., Goulden M.L., Munger J.W., Pyle E.H., Urbanski S.P. Factors controlling long- and short-term sequestration of atmospheric CO2 in a mid-latitude forest. Science 2001, 294:688-1691.
3. Beven K.J., Kirkby M.J. A physically based variable contributing-area model of catchment hydrology. Hydrol. Sci. Bull. 1979, 24(1):43-69.
4. Cinnirella S., Iovino F., Porto P., Ferro V. Anti-erosive effectiveness of Eucalyptus coppices through the cover management factor estimate. Hydrol. Process. 1998, 12(4):635-649.
5. Deore, S.J., 2005. Prioritization of micro-watersheds of upper Bhama Basin on the basis of soil erosion risk using remote sensing and GIS technology. Ph.D. Thesis, Department of Geography, University of Pune.
6. Desmet P.J.J., Govers G. A GIS procedure for automatically calculating the USLE-LS factor on topographically complex landscape units. J. Soil Water Conserv. 1996, 51(5):427-433.
7. Dissmeyer G.E., Foster G.R. Estimating the cover-management factor (C) in the universal soil loss equation for forest conditions. J. Soil Water Conserv. 1981, 36:235-240.
8. DMI, 2013. DMI, (10.12.13). http://www.dmi.gov.tr/.
9. Doğan O., Küçükçakar N., Cebel H., Akgüll S. Türkiye büyük topraklari K faktörleri. Köy Hizmetleri Genel Müdürlüğü 2000, Ankara araştirma enstitüsü yayinlari, Ankara, p. 170.
10. DSI, 2012. DSI, (5.11.13). http://www.dsi.gov.tr/.
11. Erencin, Z., 2000. C-Factor Mapping Using Remote Sensing and GIS-A Case Study of LOM Sak/Lom Kao, Thailand: [Dissertation]. ITC, Holland.
12. Ferro V. Further remarks on a distributed approach to sediment delivery. Hydrol. Sci. J. 1997, 42(5):633-648.
13. Ferro V., Minacapilli M. Sediment delivery processes at basin scale. Hydrol. Sci. J. 1995, 40(6):703-717.
14. Ferro V., Porto P. Sediment delivery distributed (SEDD) model. J. Hydrol. Eng. 2000, 5(4). 411-122.
15. Ferro, V., Stefano, C.D., Minacapilli, M., 2003. Calibrating the SEDD model for Sicilian ungauged basins. In: Proceedings of Symposium HS01 Held During IUGG2003 at Sapporo, July 2003. IAHS Publ. No. 279. pp. 151-161.
16. Foster, G.R., 1982. Modeling the erosion process, ch. 8. In: Haan, C.T., Johnson, H.D., Brakensiek, D.L., (Eds.), Hydrologic Modeling of Small Watersheds. ASAE Monogr. No. 5, Am. SOC. Agric. Eng., St. Joseph, Michigan.
17. Gabriels, D., Vermeulen, A., Verbist, K., Van Meirvenne, M., 2003. Assessment of rain erosivity and precipitation concentration in Europe. In: Gabriels D., Cornelis W., (Eds.), Proceedings of the International Symposium, 25 Years of Assessment of Erosion, 22-26 September 2003, Ghent, Belgium, pp. 87-92.
18. Gutman G., Ignatov A. The derivation of the green vegetation fraction from NOAA/AVHRR data for use in numerical weather prediction models. Int. J. Remote Sens. 1998, 19(8):1533-1543.
19. Haan C.T., Barfield B.J., Hayes J.C. Design Hydrology and Sedimentology for Small Catchments 1994, Academic Press, San Diego, California.
20. Jain M.K., Kothyari U.C. Estimation of soil erosion and sediment yield using GIS. Hydrol. Sci. J. 2000, 45:771-786.
21. Karpilo, R.D., Toy, T.J., 2004. Rusle C-Factors for Sklope Protection Applications. National Meeting of the American Society of Mining and Reclamation and The 25th West Virginia Surface Mine Drainage Task Force.
22. Kaya, P., 2008. Türkiye'de Uzun Dönem Verileri Kullanilarak Ulusal Ölçekte RUSLE-R Faktörünün Belirlenmesi. Published MSc. Thesis. Ankara Üniversitesi Fen Bilimleri Enstitüsü.
23. Laflen J.M., Foster G.R., Onstad C.A. Simulation of individual-storm soil loss for modeling the impact of soil erosion on crop productivity. Soil Erosion and Conservation 1985, 285-295. Soil Conserv. SOC. Am., Ankeny, Iowa. S.A. El-Swaify, W.C. Moldenhauer, A. Lo (Eds.).
24. Lal R. Soils and the global carbon budget. Environ. Int. 2003, 29:437-450.
25. Loch R., Rosewell C. Laboratory methods for measurement of soil erodibilities (K factors) for the universal soil loss equation. Aust. J. Soil Res. 1992, 30:233-248.
26. Loureiro N.S., Coutinho M.A. A new procedure to estimate the RUSLE El30 index, based on monthly rainfall data and applied to the Algarve region, Portugal. J. Hydrol. 2001, 250:12-18.
27. McCool D.K., Foster G.R., Mutchler C.K., Meyer L.D. Revised slope length factor for the universal soil loss equation. Trans. ASAE 1989, 32(5):1571-1576.
28. Merritt W.S., Letcher R.A., Jakeman A.J. A review of erosion and sediment transport models. Environ. Modell. Software 2003, 18:761-799.
29. Moore I.D., Wilson J.P. Length-slope factors for the revised universal soil loss equation: simplified method of estimation. J. Soil Water Conserv. 1992, 47(5):423-428.
30. Morgan R.P.C. Soil erosion and conservation 1990, Longman, Harlow. D.A. Davidson (Ed.).
31. Oldeman L.R. The global extent of soil degradation. Soil Resilience and Sustainable Land Use 1994, 99-118. CAB Int., Wallingford. D.J. Greenland, I. Szabolcs (Eds.).
32. Pilotti M., Bacchi B. Distributed evaluation of the contribution of soil erosion to the sediment yield from a watershed. Earth Surf. Processes Landforms 1997, 22(12):1239-1251.
33. Pimental D., Harey C., Rososudarmo P., Sinclair K., Kurz D., Mcnair M., Christ S., Shpritz L., Fitton L., Saffouri R., Blair R. Environmental and economic costs of soil erosion and conservation benefits. Science 1995, 267:1117-1123.
34. Ponce V.M. Engineering Hydrology: Principles and Practices 1989, vol. 640. Prentice Hall, Englewood Cliffs, NJ.
35. Porto P., Walling D.E., Callegari G. Using 137Cs measurements to establish catchment sediment budgets and explore scale effects. Hydrol. Processes 2011, 25:886-900.
36. Renard K.G., Ferreira V.A. RUSLE model description and database sensitivity. J. Environ. Qual. 1993, 22:458-466.
37. Renard K.G., Freimund J.R. Using monthly precipitation data to estimate the R factor in the revised USLE. J. Hydrol. 1994, 157:287-306.
38. Renard K.G., Foster G.R., Weesies G.A., Porter J.P. RUSLE: revised universal soil loss equation. J. Soil Water Conserv. 1991, 46. 30-3.
39. Renard, K.G., Foster, G.R., Weesies, G.A., McCool, D.K., Yoder, D.C., Coordinators. 1996. USDA-ARS Agriculture Handbook No. 703: Predicting soil erosion by water - a guide to conservation planning with the revised universal soil loss equation (RUSLE).
40. Renard, K.G., Foster, G.A., Weesies, D.A., McCool, D.K., Yoder, D.C., 1997. Predicting Soil Erosion by Water: A Guide to Conservation Planning with the Revised Universal Soil Loss Equation (RUSLE). Agriculture Handbook No. 703, USDA, Washington, DC.
41. Rikimaru A., Roy P.S., Miyatake S. Tropical forest cover density mapping. Tropical Ecol. 2002, 43(1):39-47.
42. Riley S.J., Gloria S.D., Elliot R. A terrain ruggedness that quantifies topographic heterogeneity. Int. J. Sci. 1999, 5(1-4):23-27.
43. Roehl J.E. Sediment source areas, and delivery ratios influencing morphological factors. IAHS Publ. 1962, 59:202-213.
44. Di Stefano C., Ferro V., Minacapilli M. Testing the SEDD Model in Sicilian Basins, vol. 292 2005, IAHS-AISH Publication, 152-16.1.
45. Streck E.V., Cogo N.P. Reconsolidation of the soil surface after tillage discontinuity, with and without cultivation, related to erosion and its prediction with RUSLE Braz. J. Soil Sci. 2003, 27:141-151.
46. Toy T.J., Foster G.R., Renard K.G. RUSLE for mining, construction and reclamation lands. J. Soil Water Conserv. 1999, 54(2):462-467.
47. UNEP, 1986. Sands of change: why land becomes desert and what can be done about it. UNEP Brief #2, United Nations Environment Programme, Nairobi, Kenya.
48. Van der Knijff, J.M., Jones, R.J.A., Montanarella, L., 2000. Soil erosion Risk Assessment in Europe. European Soil Bureau, Space Applications Institute. European Commission. European Communities.
49. Weltz, M.A., Renard, K.G., Simanton, J.R., 1987. Revised universal, soil loss equation for western rangelands. In: US/Mexico Symposium on Strategies for Classification and Management of Native Vegetation for Food Production in Arid Zones. U.S. Forest Serv. Gen. Tech. Rep. RM-150. pp. 104-111.
50. Williams, J.R., 1975. Sediment Yield Prediction with Universal Equation Using Runoff Energy Factor. USDA, ARS-S-40. pp. 244-252.
51. Williams J.R., Berndt H.D. Sediment yield computed with universal equation. J. Hydraul. Div. 1972, 98(12):2087-2098.
52. Wischmeier, W.H., Smith, D.D., 1965. Predicting rainfall-erosion losses from cropland east of the Rocky Mountains: Guide for selection of practices for soil and water conservation. USDA Agricultural Handbook, p. 282.
53. Wischmeier, W.H., Smith, D.D., 1978. Predicting Soil Erosion Losses: A Guide to Conservation Planning. USDA Agricultural Handbook, p. 537.
54. Yang M., Li X., Hu Y., He X. Assessing effects of landscape pattern on sediment yield using sediment delivery distributed model and a landscape indicator. Ecol. Indicators 2012, 22:38-52.
55. Zhang W.B., Fu J.S. Rainfall erosivity estimation under different rainfall amount. Resour. Sci. 2003, 25(1):35-41.