Research Article
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Year 2017, Volume: 23 Issue: 3, 285 - 297, 01.09.2017
https://doi.org/10.15832/ankutbd.447600

Abstract

References

  • Carver S J (1991). Integrating multi-criteria evaluation with geographical information systems. International Journal of Geographical Information Systems 5(3): 321-339
  • CORINE (1992). Commission of the European Communities. Soil Erosion Risk and Important Land Resources, Luxembourg
  • Dengiz O & Başkan O (2005). Ankara Güvenç Havzası temel toprak özellikleri ve sınıflandırılması. Selçuk Üniversitesi Ziraat Fakültesi Dergisi 19(37): 27-36
  • Dengiz O & Akgül S (2005). Soil erosion risk assessment of the Gölbaşı Environmental Protection Area and its vicinity using CORINE Model. Turkish Journal of Agriculture and Forestry 29(6): 439-448
  • Dengiz O & Sarıoğlu F E (2013). Parametric approach with linear combination technique in land evaluation studies. Tarım Bilimleri Dergisi-Journal of Agricultural Sciences 19(2): 101-112
  • Dengiz O, Yakupoğlu T & Baskan O (2009). Soil erosion assessment using geographical information system (GIS) and remote sensing (RS) study from AnkaraGuvenc Basin, Turkey. Journal of Environmental Biology 30(3): 339-344
  • DSİ (1969). Türkiye Hidroloji Haritası. Enerji ve Tabi Kaynaklar Bakanlığı DSİ. Yeraltı Suları Daire Başkanlığı, Ankara
  • Flanagan D C & Nearing M A (1995). USDA-Water erosion prediction project: hillslope and watershed model documentation. NSERL Report No. 10.West Lafayette Ind. USDA-ARS National Soil Erosion Research Laboratory
  • ICONA (1997). Guidelines for Mapping and Measurement of Rainfall Induced Erosion Processes in the Mediterranean Coastal Areas. Priority Action Program Regional Activity Centre.Split, Croatia
  • Kumar N V & Ganesh L S (1996). A simulation-based evaluation of the approximate and exact Eigenvector Methods employed in AHP. European Journal of Operational Research 95(3): 656-662
  • Lal R (2001). Soil degradation by erosion. Land Degradation & Development 12: 519-539
  • Malczewski J (1996). A GIS-based approach to multiple criteria group decision-making. Geographical Information Systems 10(8): 955-971
  • Manrique L A (1988). LEAM: Land Erodibility Assessment Methodology. Edit. & Pub. Shop, Honolulu, HI MGM (2013). Devlet Meteoroloji İşleri Genel Müdürlüğü Ankara İstasyonu 1970-2013 Dönemi Ortalama ve Ekstremler Klimatoloji Bülten, Ankara
  • Morgan R P C, Quinton J N & Rickson J R J (1992). Soil erosion prediction model for the Europian Community. GB-ISCO-WASWC MTA (1994). Maden Tetkik Arama Genel Müdürlüğü, Ankara
  • Patrono A (1998). Multi-Criteria Analysis and Geographic Information Systems: Analysis of Natural Areas and Ecological Distributions. Multicriteria Analysis for Land-Use Management, In: Euro Beinat and Peter Nijkamp, Kluwer Academic Publishers (Eds), Environment and Management, AA Dordrecht, The Netherlands, pp. 271-292
  • Renard K G, Foster G R, Weesies G A & Porter J P (1991). RUSLE, revised universal soil loss equation. Journal of Soil Water Conservation 46(1): 30-33 Saaty T L (1980). The Analytic Hierarchy Process. McGraw-Hill, New York
  • Sönmez K (1994). Toprak Koruma. Atatürk Üniversitesi Ziraat Fakültesi Yayınları No: 169, Erzurum
  • TÜGEM (2008). T. C. Tarım ve Köyişleri Bakanlığı, Tarımsal Üretim ve Geliştirme Genel Müdürlüğü, Toprak ve Arazi Sınıflaması Standartları Teknik Talimatı ve İlgili Mevzuat. Ankara, s. 184
  • Van Zuidam R A (1986). Aerial photo-interpretation in terrain analysis and geomorphologic mapping. Smits Publishers, The Netherlands, pp. 442
  • Williams J R, Jones C A & Dyke P T (1990). The EPIC model. United States Department of Agriculture (USDA) Technical Bulletin No: 1768
  • Wischmeier W H & Smith D D (1978). Predicting rainfall erosion losses: a guide to conservation planning. Agricultural Handbook No: 537. United States Department of Agricultural Science and Education Administration, Agricultural Research, Washington, DC. s. 58
  • Wu Q & Wang M (2007). A framework for risk assessment on soil erosion by water using an integrated and systematic approach. Journal of Hydrology 337(1-2): 11- 21
  • Zhang R, Liu X, Heathman G C, Yao X, Hu X & Zhang G (2013). Assessment of soil erosion sensitivity and analysis of sensitivity factors in the Tongbai-Dabie mountainous area of China. Catena 101: 92-98

Çok Kriterli Değerlendirme ile Ankara Güvenç Havzası’nda Erozyon Risk Tahminlenmesi

Year 2017, Volume: 23 Issue: 3, 285 - 297, 01.09.2017
https://doi.org/10.15832/ankutbd.447600

Abstract

The aim of this study is to determine erosion risk classes and to generate their map in Ankara Güvenç Basin using geographic information system (GIS), remote sensing (RS) and statistical approaches with method of multi-criteria decision-making. Basin covers about 17.3 km². In order to determine erosion risk classes, seven criteria (texture, soil depth, precipitation, land use, elevation, slope and vegetation) that influence the occurrence of soil erosion, and sub-criteria of that seven criteria were taken into consideration. 1:25000 scale digital soil map and topographic map were used. In addition to that, Landsat 7 satellite images were used to generate the land use and vegetation cover map. Analytical hierarchy process (AHP) technique was used to determine the priorities of the each criteria while, the Z-score statistical analysis technique was used to determine the priorities of the sub-criteria. Finally, linear combination technique was used to determine classes of erosion risk. According to the obtained results, 45.9% of the basin area was identified as under high erosion risk.

References

  • Carver S J (1991). Integrating multi-criteria evaluation with geographical information systems. International Journal of Geographical Information Systems 5(3): 321-339
  • CORINE (1992). Commission of the European Communities. Soil Erosion Risk and Important Land Resources, Luxembourg
  • Dengiz O & Başkan O (2005). Ankara Güvenç Havzası temel toprak özellikleri ve sınıflandırılması. Selçuk Üniversitesi Ziraat Fakültesi Dergisi 19(37): 27-36
  • Dengiz O & Akgül S (2005). Soil erosion risk assessment of the Gölbaşı Environmental Protection Area and its vicinity using CORINE Model. Turkish Journal of Agriculture and Forestry 29(6): 439-448
  • Dengiz O & Sarıoğlu F E (2013). Parametric approach with linear combination technique in land evaluation studies. Tarım Bilimleri Dergisi-Journal of Agricultural Sciences 19(2): 101-112
  • Dengiz O, Yakupoğlu T & Baskan O (2009). Soil erosion assessment using geographical information system (GIS) and remote sensing (RS) study from AnkaraGuvenc Basin, Turkey. Journal of Environmental Biology 30(3): 339-344
  • DSİ (1969). Türkiye Hidroloji Haritası. Enerji ve Tabi Kaynaklar Bakanlığı DSİ. Yeraltı Suları Daire Başkanlığı, Ankara
  • Flanagan D C & Nearing M A (1995). USDA-Water erosion prediction project: hillslope and watershed model documentation. NSERL Report No. 10.West Lafayette Ind. USDA-ARS National Soil Erosion Research Laboratory
  • ICONA (1997). Guidelines for Mapping and Measurement of Rainfall Induced Erosion Processes in the Mediterranean Coastal Areas. Priority Action Program Regional Activity Centre.Split, Croatia
  • Kumar N V & Ganesh L S (1996). A simulation-based evaluation of the approximate and exact Eigenvector Methods employed in AHP. European Journal of Operational Research 95(3): 656-662
  • Lal R (2001). Soil degradation by erosion. Land Degradation & Development 12: 519-539
  • Malczewski J (1996). A GIS-based approach to multiple criteria group decision-making. Geographical Information Systems 10(8): 955-971
  • Manrique L A (1988). LEAM: Land Erodibility Assessment Methodology. Edit. & Pub. Shop, Honolulu, HI MGM (2013). Devlet Meteoroloji İşleri Genel Müdürlüğü Ankara İstasyonu 1970-2013 Dönemi Ortalama ve Ekstremler Klimatoloji Bülten, Ankara
  • Morgan R P C, Quinton J N & Rickson J R J (1992). Soil erosion prediction model for the Europian Community. GB-ISCO-WASWC MTA (1994). Maden Tetkik Arama Genel Müdürlüğü, Ankara
  • Patrono A (1998). Multi-Criteria Analysis and Geographic Information Systems: Analysis of Natural Areas and Ecological Distributions. Multicriteria Analysis for Land-Use Management, In: Euro Beinat and Peter Nijkamp, Kluwer Academic Publishers (Eds), Environment and Management, AA Dordrecht, The Netherlands, pp. 271-292
  • Renard K G, Foster G R, Weesies G A & Porter J P (1991). RUSLE, revised universal soil loss equation. Journal of Soil Water Conservation 46(1): 30-33 Saaty T L (1980). The Analytic Hierarchy Process. McGraw-Hill, New York
  • Sönmez K (1994). Toprak Koruma. Atatürk Üniversitesi Ziraat Fakültesi Yayınları No: 169, Erzurum
  • TÜGEM (2008). T. C. Tarım ve Köyişleri Bakanlığı, Tarımsal Üretim ve Geliştirme Genel Müdürlüğü, Toprak ve Arazi Sınıflaması Standartları Teknik Talimatı ve İlgili Mevzuat. Ankara, s. 184
  • Van Zuidam R A (1986). Aerial photo-interpretation in terrain analysis and geomorphologic mapping. Smits Publishers, The Netherlands, pp. 442
  • Williams J R, Jones C A & Dyke P T (1990). The EPIC model. United States Department of Agriculture (USDA) Technical Bulletin No: 1768
  • Wischmeier W H & Smith D D (1978). Predicting rainfall erosion losses: a guide to conservation planning. Agricultural Handbook No: 537. United States Department of Agricultural Science and Education Administration, Agricultural Research, Washington, DC. s. 58
  • Wu Q & Wang M (2007). A framework for risk assessment on soil erosion by water using an integrated and systematic approach. Journal of Hydrology 337(1-2): 11- 21
  • Zhang R, Liu X, Heathman G C, Yao X, Hu X & Zhang G (2013). Assessment of soil erosion sensitivity and analysis of sensitivity factors in the Tongbai-Dabie mountainous area of China. Catena 101: 92-98
There are 23 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Makaleler
Authors

İnci Demirağ Turan This is me

Orhan Dengiz

Publication Date September 1, 2017
Submission Date June 18, 2014
Acceptance Date December 3, 2015
Published in Issue Year 2017 Volume: 23 Issue: 3

Cite

APA Demirağ Turan, İ., & Dengiz, O. (2017). Çok Kriterli Değerlendirme ile Ankara Güvenç Havzası’nda Erozyon Risk Tahminlenmesi. Journal of Agricultural Sciences, 23(3), 285-297. https://doi.org/10.15832/ankutbd.447600

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