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Erosion analysis of Kızılkeçili Creek Basin with GIS based on RUSLE (3d) method

Yıl 2006, Cilt 0, Sayı 47, 115 - 129, 15.10.2014

Öz

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Kaynakça

  • Arnoldous, H.M.j., 1977, Methodology used to determine the maximum potential average annual soil loss due to sheet and rill erosion in Morocco, FAO Soils Bulletin, 34, 39—51.
  • Arnoldous, H.M.J., 1980, An approximation of the rainfall factor in the USLE. In: De Boodt M., Gabriels, D. (Eds), Assessment of Erosion. Wiley, Chichester, England, pp. 127—132.
  • Balıkesir lli Arazi Varlığı, (1999), Köy Hizmetleri Genel Müdürlügü Yayınları, Il Rapor No: 10, Ankara.
  • Bayramin, l., Erpul, G., Erdoğan, HB, 2006, Use of CORINE methodology to assess soil erosion risk in the seminarid area of Beypazarı, Ankara, Türk] Agric For, 30, 81-100.
  • Bingöl, E., 1969, Kazdag masifinin merkezi ve güneydoğu kesiminin jeolojisi, M.T.A. Dergisi, 72, 110» 124.
  • Bingöl, E., 1971, Fiziksel (=Radyometrik= Radyojenik) yaş tayini metotlarını sınıflama denemesi ve Rb—Sr ve KnA metotlarının Kazdag’da bir uygulaması, Türkiye jeoloji Kurumu Bülteni, 14—1.
  • Cooley, K.R., 1980, Erosivity "R" for individual design storms. IN: CREAMS: A field-scale model for chemicals, runoff, and erosion from agricultural management systems, W.G. Knisel, ed., p. 386-397. USDA»SEA Conservation Research Report No. 26. USDA,Washington, DC.
  • Desmet, P._].j., Govers, G. (1996) A GIS procedure [or automatically calculating the USLE LS factor on topographically complex landscape units. journal ofsoii and water conservation, 51, 427-433.
  • Diyotato,N., 2004, Estimating RUSLE’s rainfall factor in the part of Italy with a Mediterranean rainfall regime, Hydrology and Earth System Sciences, 8-1, 103—107.
  • Dogan, 0. ve Küçükçakar, N., 1994, Erozyon Haritalamasında Bazı Metodolojiler, Köy Hizmetleri Ankara Araştırma Enstitüsü Yayınları, Ankara.
  • Ekinci,D., ve Ekinci, B., 2006, The Effect of Valley Networks on Erosion and a Sample for Usmg GIS Based Soil Erosion Risk Model, 18 th International Soil Meeting (ISM) on Soils Sustaining Life on Earth (Managing Soil and Technology); May 22—26, Proceedings, 465—472.
  • Foster, GR., D.K. Mc Cool, Renard, K.G., ve Moldenhauer, W. C., 1981., Conversion of the Universal Soil Loss Equation to SI Metric Units, _]. Soil and Water Cons. 36-6, 355-359.
  • Knijft, V. ].M., Jones, R._].A., ve Montanarella, L., 1999, Soil erosion assessment in Italy, European Soil Bureau.
  • Lorito, S., PavaneIIi, D., Bigi, A., Stanchi, S., Vianello, G., 2005, Introduction of GIS-based RUSLE model for land planning and environmental management in three different Italian ecosystems,
  • Lufafaa, A., Tenywaa, M.M., Isabiryeb, M., Majaliwaa, M.].G., ve Woomerc PL, 2003, Prediction of soil erosion in a Lake Victoria basin catchment using a GIS-based Universal Soil Loss model, Agricultural Systems, 76, 883—894.
  • Millward, A.A., Mersey, _].E., 1999 Adapting the RUSLE to model soil erosion potential in a mountainous tropical watershed. Carens, 38, 109—129.
  • Mitasova, H., J., Hofierka, M., Zlocha, 1verson,L.R., 1996, Modeling topographic potential for erosion and deposition using GlS. Int. journal of Geographical Information Science, 106, 629—641.
  • Mitasova, H., Mitas, L., Brown, W. M., johnstön, D., 1998, Multidimensional Soil Erosion/deposition Modeling and visualization using GIS. Final report for USA CERL. University of Illinois, Urba- na»Champaign, IL.
  • Moore, I., ve G. Burch. 1986a, Physical basis of the length-slope factor in the universal soil loss equation. Soil Science Society of Americajournal 50, 1294-1298.
  • Moore, I., ve G. Burch. 1986b. Modeling erosion and deposition: topographic effects. Transactions of ASAE 29-6, 1624—1640.
  • Moore, I.D., ve Wilson, J.P., 1992, Length-slope factors for the Revised Universal Soil Loss Equation: Simplified method of estimation. Journal of Soil and Water Conservation, 47, 423-428.
  • Moore, RR, 1979, “Rainfall Erosivity in East Africa: Kenya, Tanzania, Uganda", Geografiska Annaler. 61, 147-156.
  • Morgan, R.P.C., 1995, Soil Erosion and Conservation, Longman, Essex.
  • PAP/RAC, 1997, Guidelines for Mapping and Measurement of Rainfall-Induced Erosion Processes in the Mediterranean Coastal Areas. PAP-8fPP/GL.1. Split, Priority Actions Programme Regional Activity Centre (MAP/UNEP), with the cooperation of FAO. 1997. pp xii+70.
  • Renard, K.G., F05ter, GR., Weesies, G.A., Porter, J.P., 1991, Revised Universal Soil Loss Equation (RUSLE),Journal Soil Water Conserv. 46, 30 -33.
  • Renard, K.G., ve Ferreira, V.A., 1993, RUSLE model description and database sensitivity. J. Environ. Qual. 22-3,458-466.
  • Renard, K.G., G.R. Foster, D.C. Yoder, ve McCool, DK. 1994, RUSLE revisited: Status, questions, answers, and the future,]. Soil Water Conserv. 49-3, 213—220.
  • Renard, K..G., G.R., Foster, G.A., Weesies, D.K., McCool, ve D.C. Yoder, 1997, Predicting Soil Erosion by Water: A Guide to Conservation Planning with the Revised Universal Soil Loss Equation. U.S. Department of Agriculture, Agriculture Handbook 703, USA.
  • Rijks, D., Terres, J.M., Vossen, P., 1998, Agrometeorological Applications for Regional Crop Monitoring and Production Assessment, EUR, Office for Official Publications of the European Communities, Luxsembourg.
  • R00se, E.]., 1977., Application of the Universal Soil Loss Equation of Wischmeier and Smith in West Africa. In: Greenland, J., Lal, R. (Eds). Conservation and Soil Management in the Humid Tropics. Wiley, Chichester, England, 177—187.
  • Roose, E.J., Sarrailh, JM., 1989, Erodibility of some tropical soils—twenty years of records in some erosion plots under natural rainfall, Soils Fert. 25, 7—30.
  • Sivertun A., Prange, L., 2003, Non-point source critical area analysis in the Gisselo watershed using GIS, Environmental Modelling & Software, 18, 887-898.
  • William, W. D., David, S. Jones, ve Steven, D., Warren, 1999, The Soil Erosion Model Guide for Military Land Mangers: Analysis of Erosion Models for Natural and Cultural Resources Applications, Tri-Service CADD/GIS Technology Center, Natural and Cultural Resources Field Working Group, Technical Report ITL 99-XX.
  • Wischmeier, W.H., Smith, DD, 1978, Predicting Rainfall Erosion Losses: A guide to conservation planning, Agricultural Handbook, 537, US Department of Agriculture, Washington, DC, USA.
  • Wischmeier, WH., Johnson, C.B., ve Cross, B.V., 1971. A soil erodibility nomograph for farmland and construction sites,J. Soil and Water Conserv., 26, 189-193.
  • Wischmeier, W.H., Smith, D.D. ve R.E., Uhland, 1958, Evaluation of factors in the soil loss equation, Agric. Eng. 39,458- 474.
  • Wischmeier, W..H, Smith, D.D., 1958, Rainfall energy and its relation ship to soil 1055. Transactions of the American Geophysical Union, 39-2, 285—291.
  • Wischmeier, W.A., Smith, D.A., 1965. Predicting rainfall-erosion losses from cropland east of the Rocky Mountains: guide for selection practices for soil and water conservation. Agricultural Handbook 282, US Dept. of Agric. Sci and Edu. Admin., Agric. Res., USA.
  • Williams, R.G., Sheridan, J.M., 1991, Effect of rainfall measurement time and depth resolution on EI calculation, Transaction of the American Society of Agriculture Engineering ASAE 34- 2, 402—406.

Kızılkeçili Deresi havzasında CBS tabanlı RUSLE (3d) yöntemiyle erozyon analizi

Yıl 2006, Cilt 0, Sayı 47, 115 - 129, 15.10.2014

Öz

Makale tam metni için pdf e tıklayınız.

Kaynakça

  • Arnoldous, H.M.j., 1977, Methodology used to determine the maximum potential average annual soil loss due to sheet and rill erosion in Morocco, FAO Soils Bulletin, 34, 39—51.
  • Arnoldous, H.M.J., 1980, An approximation of the rainfall factor in the USLE. In: De Boodt M., Gabriels, D. (Eds), Assessment of Erosion. Wiley, Chichester, England, pp. 127—132.
  • Balıkesir lli Arazi Varlığı, (1999), Köy Hizmetleri Genel Müdürlügü Yayınları, Il Rapor No: 10, Ankara.
  • Bayramin, l., Erpul, G., Erdoğan, HB, 2006, Use of CORINE methodology to assess soil erosion risk in the seminarid area of Beypazarı, Ankara, Türk] Agric For, 30, 81-100.
  • Bingöl, E., 1969, Kazdag masifinin merkezi ve güneydoğu kesiminin jeolojisi, M.T.A. Dergisi, 72, 110» 124.
  • Bingöl, E., 1971, Fiziksel (=Radyometrik= Radyojenik) yaş tayini metotlarını sınıflama denemesi ve Rb—Sr ve KnA metotlarının Kazdag’da bir uygulaması, Türkiye jeoloji Kurumu Bülteni, 14—1.
  • Cooley, K.R., 1980, Erosivity "R" for individual design storms. IN: CREAMS: A field-scale model for chemicals, runoff, and erosion from agricultural management systems, W.G. Knisel, ed., p. 386-397. USDA»SEA Conservation Research Report No. 26. USDA,Washington, DC.
  • Desmet, P._].j., Govers, G. (1996) A GIS procedure [or automatically calculating the USLE LS factor on topographically complex landscape units. journal ofsoii and water conservation, 51, 427-433.
  • Diyotato,N., 2004, Estimating RUSLE’s rainfall factor in the part of Italy with a Mediterranean rainfall regime, Hydrology and Earth System Sciences, 8-1, 103—107.
  • Dogan, 0. ve Küçükçakar, N., 1994, Erozyon Haritalamasında Bazı Metodolojiler, Köy Hizmetleri Ankara Araştırma Enstitüsü Yayınları, Ankara.
  • Ekinci,D., ve Ekinci, B., 2006, The Effect of Valley Networks on Erosion and a Sample for Usmg GIS Based Soil Erosion Risk Model, 18 th International Soil Meeting (ISM) on Soils Sustaining Life on Earth (Managing Soil and Technology); May 22—26, Proceedings, 465—472.
  • Foster, GR., D.K. Mc Cool, Renard, K.G., ve Moldenhauer, W. C., 1981., Conversion of the Universal Soil Loss Equation to SI Metric Units, _]. Soil and Water Cons. 36-6, 355-359.
  • Knijft, V. ].M., Jones, R._].A., ve Montanarella, L., 1999, Soil erosion assessment in Italy, European Soil Bureau.
  • Lorito, S., PavaneIIi, D., Bigi, A., Stanchi, S., Vianello, G., 2005, Introduction of GIS-based RUSLE model for land planning and environmental management in three different Italian ecosystems,
  • Lufafaa, A., Tenywaa, M.M., Isabiryeb, M., Majaliwaa, M.].G., ve Woomerc PL, 2003, Prediction of soil erosion in a Lake Victoria basin catchment using a GIS-based Universal Soil Loss model, Agricultural Systems, 76, 883—894.
  • Millward, A.A., Mersey, _].E., 1999 Adapting the RUSLE to model soil erosion potential in a mountainous tropical watershed. Carens, 38, 109—129.
  • Mitasova, H., J., Hofierka, M., Zlocha, 1verson,L.R., 1996, Modeling topographic potential for erosion and deposition using GlS. Int. journal of Geographical Information Science, 106, 629—641.
  • Mitasova, H., Mitas, L., Brown, W. M., johnstön, D., 1998, Multidimensional Soil Erosion/deposition Modeling and visualization using GIS. Final report for USA CERL. University of Illinois, Urba- na»Champaign, IL.
  • Moore, I., ve G. Burch. 1986a, Physical basis of the length-slope factor in the universal soil loss equation. Soil Science Society of Americajournal 50, 1294-1298.
  • Moore, I., ve G. Burch. 1986b. Modeling erosion and deposition: topographic effects. Transactions of ASAE 29-6, 1624—1640.
  • Moore, I.D., ve Wilson, J.P., 1992, Length-slope factors for the Revised Universal Soil Loss Equation: Simplified method of estimation. Journal of Soil and Water Conservation, 47, 423-428.
  • Moore, RR, 1979, “Rainfall Erosivity in East Africa: Kenya, Tanzania, Uganda", Geografiska Annaler. 61, 147-156.
  • Morgan, R.P.C., 1995, Soil Erosion and Conservation, Longman, Essex.
  • PAP/RAC, 1997, Guidelines for Mapping and Measurement of Rainfall-Induced Erosion Processes in the Mediterranean Coastal Areas. PAP-8fPP/GL.1. Split, Priority Actions Programme Regional Activity Centre (MAP/UNEP), with the cooperation of FAO. 1997. pp xii+70.
  • Renard, K.G., F05ter, GR., Weesies, G.A., Porter, J.P., 1991, Revised Universal Soil Loss Equation (RUSLE),Journal Soil Water Conserv. 46, 30 -33.
  • Renard, K.G., ve Ferreira, V.A., 1993, RUSLE model description and database sensitivity. J. Environ. Qual. 22-3,458-466.
  • Renard, K.G., G.R. Foster, D.C. Yoder, ve McCool, DK. 1994, RUSLE revisited: Status, questions, answers, and the future,]. Soil Water Conserv. 49-3, 213—220.
  • Renard, K..G., G.R., Foster, G.A., Weesies, D.K., McCool, ve D.C. Yoder, 1997, Predicting Soil Erosion by Water: A Guide to Conservation Planning with the Revised Universal Soil Loss Equation. U.S. Department of Agriculture, Agriculture Handbook 703, USA.
  • Rijks, D., Terres, J.M., Vossen, P., 1998, Agrometeorological Applications for Regional Crop Monitoring and Production Assessment, EUR, Office for Official Publications of the European Communities, Luxsembourg.
  • R00se, E.]., 1977., Application of the Universal Soil Loss Equation of Wischmeier and Smith in West Africa. In: Greenland, J., Lal, R. (Eds). Conservation and Soil Management in the Humid Tropics. Wiley, Chichester, England, 177—187.
  • Roose, E.J., Sarrailh, JM., 1989, Erodibility of some tropical soils—twenty years of records in some erosion plots under natural rainfall, Soils Fert. 25, 7—30.
  • Sivertun A., Prange, L., 2003, Non-point source critical area analysis in the Gisselo watershed using GIS, Environmental Modelling & Software, 18, 887-898.
  • William, W. D., David, S. Jones, ve Steven, D., Warren, 1999, The Soil Erosion Model Guide for Military Land Mangers: Analysis of Erosion Models for Natural and Cultural Resources Applications, Tri-Service CADD/GIS Technology Center, Natural and Cultural Resources Field Working Group, Technical Report ITL 99-XX.
  • Wischmeier, W.H., Smith, DD, 1978, Predicting Rainfall Erosion Losses: A guide to conservation planning, Agricultural Handbook, 537, US Department of Agriculture, Washington, DC, USA.
  • Wischmeier, WH., Johnson, C.B., ve Cross, B.V., 1971. A soil erodibility nomograph for farmland and construction sites,J. Soil and Water Conserv., 26, 189-193.
  • Wischmeier, W.H., Smith, D.D. ve R.E., Uhland, 1958, Evaluation of factors in the soil loss equation, Agric. Eng. 39,458- 474.
  • Wischmeier, W..H, Smith, D.D., 1958, Rainfall energy and its relation ship to soil 1055. Transactions of the American Geophysical Union, 39-2, 285—291.
  • Wischmeier, W.A., Smith, D.A., 1965. Predicting rainfall-erosion losses from cropland east of the Rocky Mountains: guide for selection practices for soil and water conservation. Agricultural Handbook 282, US Dept. of Agric. Sci and Edu. Admin., Agric. Res., USA.
  • Williams, R.G., Sheridan, J.M., 1991, Effect of rainfall measurement time and depth resolution on EI calculation, Transaction of the American Society of Agriculture Engineering ASAE 34- 2, 402—406.

Ayrıntılar

Birincil Dil Türkçe
Bölüm Araştırma Makalesi
Yazarlar

İsa Cürebal>


Deniz Ekinci Bu kişi benim

Yayımlanma Tarihi 15 Ekim 2014
Yayınlandığı Sayı Yıl 2006, Cilt 0, Sayı 47

Kaynak Göster

APA Cürebal, İ. & Ekinci, D. (2014). Kızılkeçili Deresi havzasında CBS tabanlı RUSLE (3d) yöntemiyle erozyon analizi . Türk Coğrafya Dergisi , 0 (47) , 115-129 . Retrieved from https://dergipark.org.tr/tr/pub/tcd/issue/21234/227854