Soil erosion risk assessment with ICONA model; case study: Beypazarı area
Yıl: 2003 Cilt: 27 Sayı: 2 Sayfa Aralığı: 105 - 116 Metin Dili: Türkçe İndeks Tarihi: 29-07-2022
Soil erosion risk assessment with ICONA model; case study: Beypazarı area
Öz: Bu araştırmada, coğrafi bilgi sistemleri (CBS) ve uzaktan algılama (UA) tekniklerinin ICONA modeli uygulanarak erozyon risk değerlendirmesi çalışmasında kullanılması test edilmiştir. Farklı arazi formları, arazi kullanım türleri ve arazi örtüsüne sahip olması nedeniyle bu çalışma Ankara-Beypazarı yöresinde gerçekleştirilmiştir. Bu model eğim, jeoloji, arazi kullanımı ve arazi örtüsü, bilgilerinin kullanıldığı yedi aşamayı içermektedir. Çalışmanın ilk iki aşamasında, sayısal yükselti modeli ve sayısal jeoloji verilerinden elde edilen eğim ve kayaçların aşınmaya karşı dirençlilik haritalarının çakıştırılması ile üçüncü aşama olan potansiyel erozyon durum haritası elde edilmiştir. Bu işlem sonucunda, çalışma alanının potansiyel erozyon durumları, % 8,0'u çok düşük, % 24,7'si düşük, % 23,6'sı orta, % 23,6'sı yüksek ve % 20, 1'i aşırı olarak bulunmuştur. Landsat uydu görüntüsünün sınıflandırılması ile elde edilen, arazi kullanımı (aşama 4) ve arazi örtüsü (aşama 5) haritaları, toprak koruma haritasını (aşama 6) elde etmek için birleştirilmiştir. Toprak koruma haritası çalışma alanının % 77,8'ünün çok düşük, ve düşük % 22,2'sinin ise orta, yüksek ve çok yüksek seviyelerde korumaya sahip olduğunu göstermiştir. Çalışmanın en son aşamasında, potansiyel erozyon durumu ve toprak koruma haritaları çakıştırılmış ve ICONA erozyon risk haritası oluşturulmuştur. Bu sonuçlara göre, çalışma alanının % 45,9'u, genellikle ormanlık alanları dışında bırakan tepelik ve dağlık alanlarda, yüksek ve çok yüksek, geri kalan alanlarda ise orta ve düşük seviyelerde erozyon riskine sahip olduğu belirlenmiştir. Bu çalışmada, toprak erozyon risk tahminlerinde, CBS ve UA tekniklerinin kullanılmasının önemli bir rolü olduğunu göstermiştir.
Anahtar Kelime: Konular:
ICONA modeli ile toprak erozyon risk değerlendirmesi:Pilot çalışma:Beypazarı
Öz: In this research, the applicability of geographic information system (GIS) and remote sensing (RS) techniques was tested to assess soil erosion risk with the ICQNA erosion model. This study was carried out in the Ankara-Beypazan area because of its variety of diverse landforms, land uses and land covers. The erosion risk assessment phase of this model consists of seven steps that mainly use slope, geology, land use and land cover information. A potential erosion risk map (step 3) was obtained from the slope (step 1) and lithofacies layers (step 2) generated using a digital elevation model (DEM) and digital geological maps. As a result of this process, the distribution of the erosion risk classes was 8.0% (very low), 24.7% (low), 23.6% (medium), 23.6% (high), and 20.1% (extreme). Land use (step 4) and land cover (step 5) layers derived from LandsatTM image data classification were combined to produce the soil protection map (step 6). The soil protection map showed that 77.8% of the area was classified as low and very low, and 22.2% of the area was classified as very high, high and moderate in terms of protection class. During the final predictive phase, soil erodibility and soil protection layers were combined to generate the ICONA soil erosion status map (step 7). The final map showed that 45.9% of the area had high and very high erosive status. These areas especially included hilly and mountainous areas, and excluded the forested parts. The rest of the study area had lower (very low, low and appreciable) erosion status. The present study shows that GIS and RS techniques have an important role to play in soil erosion risk studies.
Anahtar Kelime: Konular:
Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık
- Ahlcrona, E. 1988. The impact of climate on land transformation in central Sudan. Unpublished Ph.D. thesis. Lund University, Lund, Sweden. In: Quaritative representation of land-surface morphology from digital elevation models (editors: Garry, P. K. & Harrison, A.R., 1990). Proceedings of 4th International conference on spatial data handling, July 23-27, Zurich, Switzerland, pp: 273-282.
- AVHHRtNDVI (URL:http://edcdaac.usgs.gov/lKM/comp10d.html) Last update 2.10.2002.
- Bayramin, I., 1998. Integrating Digital Terrain and Satellite Image Data with Soils Data for Small Scale Mapping of Soils. Ph.D. Thesis. Purdue University, 121 pages.
- Berney, 0., F. Gallart, J.C. Griesbach, L.R. Serrano, J.D.R. Sinago and A. Giordano. 1997. Guidelines for Mapping and Measurement of Rainfall-Induced Erosion Processes in the Mediterranean Coastal Areas. Priority Actions Programme, Regional Activity Centre, Split, Croatia.
- Bojie, Fu, W. Xilin and H. Gulinck, 1995. Soil erosion types in the loess hill and gully area of China. Journal of Environmental Science, 7: 266-272.
- ICONA, 1991. Plan Nacional de Restauracion hidrologico-forestal para el Control de la Erosion. Ministrio de Agricultura, Pescay Alimentacion, Madrid.
- ICONA, 1997. Guidelines for Mapping and Measurement of Rainfall-Induced Erosion Proceses in the Mediterranean Coastal Areas. Priority Action. Programme Regional Activity Centre. Split, Croatia.
- Jong, S.M., M.L. Paracchini, F. Bertolo, S. Folving, J. Megier, & A.PJ. de Roo, 1999. Regional assessment of soil erosion using the distributed model SEMMED and remotely sensed data. Catena. Special issue: Soil erosion modeling at the catchment scale, 37: 291-308.
- Meyer, L.D. 1980. Soil Conservation Problems and Prospects. Ed. R.C.P. Morgan. International Conference on Soil Conservation, the Natural College of Agricultural Engineering, Silsoe, Bedford, UK.
- Ministry of Agriculture, Forestry and Villages, 1987. General Management Planning of Turkey (Soil Conservation Main Plan), Ministry of Agriculture, Forestry and Villages. General Directorate of Rural Services, pp: 105. Ankara.
- Millward, A.A. and J.E. Mersey. 1999. Adapting the RUSLE to model soil erosion potential in a mountainous tropical watershed. Catena, 38: 109-129.
- Morgan, R.P.C. 1978. Assessment of Erosion. In: Assessment of Erosion in USA and Europe, (eds M. De Boodt and D. Gabriels), Faculty of Agricultural Science, State University Ghent, Belgium.
- Olsson, L. 1985. An integrating study of desertification: application of remote sensing, GIS, and spatial models in semi-arid Sudan. Ph.D. Thesis, Lund University, Lund, Sweden.
- Özel, M.E., O. Doğan, N. Küçükçakar and H. Yıldırım. 1999. Dalaman Havzası Erozyon Haritalama Pilot Projesi, TEMA. İstanbul.
- Reusing, M., T. Schneider and U. Ammer. 2000. Modelling soil loss rates in the Ethiopian Highlands by integration of high resolution M0MS-02/D2-stereo-data in a GIS. Journal of Remote Sensing, 21: 1885-1896.RIVM, 2000. Technical Report on Soil Degradation. RIVM. report 481505018. Bilthoven.
- Rode, M. and H.G. Frede. 1997. Modification of AGNPS for agricultural land and climate conditions in central Germany. Journal of Environmental Quality, 26: 165-172.
- Soil Erosion Models (http://soilerosion.net/doc/models_menu.html) Last update 12.03.2003.
- SPOT-NDVI (http://cat.vgt.vito.be) and (http://www.spotimage.fr/ home/appli/apvege/welcome.htm). Last accessed 24.03.2003.
- Szabp,:.J., L. Pasztor, Z. Suba and G. Varallyay, 1998. Integration of remote sensing and GIS techniques in Iand degradation mapping. Proceedings of the 16th International Congress of Soil Science, Montpellier, France, 20-26 August, pp.- 63-75.
- Thornthwaite, C.W. 1948. An approach to a rational classification of climate. Geographical Review 38: 55-94.
- Tucker, C. J., J.R. Townshend and T.E. Goff. 1985. African land-cover -classification using satellite data. Science, 227(4685): 369-375.
| APA | BAYRAMİN İ, dengiz o, BAŞKAN o, Parlak M (2003). Soil erosion risk assessment with ICONA model; case study: Beypazarı area. , 105 - 116. |
| Chicago | BAYRAMİN İlhami,dengiz orhan,BAŞKAN oguz,Parlak Mehmet Soil erosion risk assessment with ICONA model; case study: Beypazarı area. (2003): 105 - 116. |
| MLA | BAYRAMİN İlhami,dengiz orhan,BAŞKAN oguz,Parlak Mehmet Soil erosion risk assessment with ICONA model; case study: Beypazarı area. , 2003, ss.105 - 116. |
| AMA | BAYRAMİN İ,dengiz o,BAŞKAN o,Parlak M Soil erosion risk assessment with ICONA model; case study: Beypazarı area. . 2003; 105 - 116. |
| Vancouver | BAYRAMİN İ,dengiz o,BAŞKAN o,Parlak M Soil erosion risk assessment with ICONA model; case study: Beypazarı area. . 2003; 105 - 116. |
| IEEE | BAYRAMİN İ,dengiz o,BAŞKAN o,Parlak M "Soil erosion risk assessment with ICONA model; case study: Beypazarı area." , ss.105 - 116, 2003. |
| ISNAD | BAYRAMİN, İlhami vd. "Soil erosion risk assessment with ICONA model; case study: Beypazarı area". (2003), 105-116. |
| APA | BAYRAMİN İ, dengiz o, BAŞKAN o, Parlak M (2003). Soil erosion risk assessment with ICONA model; case study: Beypazarı area. Turkish Journal of Agriculture and Forestry, 27(2), 105 - 116. |
| Chicago | BAYRAMİN İlhami,dengiz orhan,BAŞKAN oguz,Parlak Mehmet Soil erosion risk assessment with ICONA model; case study: Beypazarı area. Turkish Journal of Agriculture and Forestry 27, no.2 (2003): 105 - 116. |
| MLA | BAYRAMİN İlhami,dengiz orhan,BAŞKAN oguz,Parlak Mehmet Soil erosion risk assessment with ICONA model; case study: Beypazarı area. Turkish Journal of Agriculture and Forestry, vol.27, no.2, 2003, ss.105 - 116. |
| AMA | BAYRAMİN İ,dengiz o,BAŞKAN o,Parlak M Soil erosion risk assessment with ICONA model; case study: Beypazarı area. Turkish Journal of Agriculture and Forestry. 2003; 27(2): 105 - 116. |
| Vancouver | BAYRAMİN İ,dengiz o,BAŞKAN o,Parlak M Soil erosion risk assessment with ICONA model; case study: Beypazarı area. Turkish Journal of Agriculture and Forestry. 2003; 27(2): 105 - 116. |
| IEEE | BAYRAMİN İ,dengiz o,BAŞKAN o,Parlak M "Soil erosion risk assessment with ICONA model; case study: Beypazarı area." Turkish Journal of Agriculture and Forestry, 27, ss.105 - 116, 2003. |
| ISNAD | BAYRAMİN, İlhami vd. "Soil erosion risk assessment with ICONA model; case study: Beypazarı area". Turkish Journal of Agriculture and Forestry 27/2 (2003), 105-116. |
