Yıl: 2012 Cilt: 21 Sayı: 84 Sayfa Aralığı: 18 - 29 Metin Dili: Türkçe İndeks Tarihi: 29-07-2022

Soil erosion risk assessment in the sincanlı subwatershed of the akarçay basin (Afyonkarahisar, Turkey) using the universal soil loss equation (USLE)

Öz:
Bu çalışma, Afyonkarahisar İlinde yer alan Akarçay Kapalı Havzasının bir alt bölümü olan Sincanlı Havzasında USLE (Evrensel Toprak Kaybı Eşitliği), CBS ve Uzaktan Algılama yöntemlerine dayanarak yapılan toprak erozyonu riski değerlendirmesi araştırmalarını kapsamaktadır. Toprak kaybını belirlemek için uygulanan USLE yönteminde yağışın erozyon oluşturma faktörü (R) yıllık yağış değerleri ile eski çalışmalara, toprağın erozyona duyarlılık faktörü olan (K) ise araziden alınan toprak örneklerinin laboratuvar analizlerine ve arazi gözlemlerine dayanmaktadır. Yöntemin diğer faktörleri olan topoğrafya faktörü (LS) sayısal haritalardan (DEM) elde edilen eğim ve eğim uzunluğu değerleri olup arazi kullanım ve bitki örtüsünü temsil eden (C) faktörü ise Landsat uydu görüntülerinden sağlanmıştır. USLE yönteminin uygulanmasıyla CBS ortamında bu katmanlardan elde edilen erozyon risk haritasına göre çalışma alanının %83 lük bir bölümünde çok hafif erozyonun, çoğu merkezi kesimde olan %2 lik bir alanda ise hafif erozyonun etkili olduğu görülmektedir. Havzanın çukur alanlarını ve az eğimli yamaçlarını kapsayan çok hafif ve hafif erozyonun görüldüğü alanlarda erozyon etkin değildir. Orta şiddetteki erozyon Sincanlı Havzasının %4 lük bir bölümünde etkisini gösterirken, %11 değerindeki şiddetli erozyon ise kireçtaşı, tüf-aglomera, andezit ve trakit gibi dayanımlı kayaçların yüzeylendiği güneybatı, güney, doğu ve kısmen kuzeydoğu kesimlerdeki dağlık alanlarda etkindir. Çalışma alanında çok şiddetli erozyon değerleri ise saptanamamıştır. Sonuç haritasından elde edilen değerler Akarçay Havzasının (Şuhut, İhsaniye gibi) alt havzaları yanı sıra Türkiyenin diğer havzaları ile karşılaştırılabilir niteliktedir. Bu bağlamda çalışma, erozyon risk değerlendirmelerinde CBS ve Uzaktan Algılama tekniklerinin önemini vurgulamaktadır. Havzada yapılan çalışmalar halen devam etmekte olup projenin bitiminde bölge ve ülke ölçeğinde karşılaştırmalar yapılabilecek ve varılan sonuçlar Sincanlı Havzasında yapılan/yapılacak erozyon önleme çalışmalarında yerel makamlara önemli bilimsel altyapı desteği sağlayacaktır
Anahtar Kelime:

Konular: Çevre Mühendisliği

Akarçay havzasının sincanlı bölümünde (Afyonkarahisar) USLE yöntemiyle erozyon risk değerlendirmesi

Öz:
This paper contains research in which the authors applied the Universal Soil Loss Equation (USLE), Geographical Information Systems (GIS), and remote sensing to the mapping of the soil erosion risk in the Sincanlı sub-watershed area of the Akarcay Basin, Afyonkarahisar, Turkey. The rainfall-runoff erosivity factor (R) was developed from annual precipitation data and previous studies, soil map and soil survey data was used to develop the soil erodibility factor (K), and a digital elevation model image was used to generate the topographic factor (LS). The cover-management factor (C) was developed based on vegetation, shade, and soil fraction images derived from spectral mixture analysis of a Landsat Thematic Mapper image. A soil erosion risk map with four classes (low, slight, moderate, and high) was produced based on the simplified USLE within the GIS environment. The low erosion category is very common (83%), while, to only a limited extent, the watershed falls within the slight erosion risk category (2%), mostly seen in the central section of the study area. The low and slight erosion risk areas are situated in the flat plain and low slope areas where there is no soil erosion by water. Moderate risk of erosion occurs in a small area (4%) of the watershed, but about 11% of the watershed is under high erosion risk, found mostly in the south-western, southern and eastern, and partly in the north-eastern sections of the watershed where there are mountains consisting of resistant rocks such as limestone, tuff-agglomerate, andesite, and trachyte. It is believed that the results of this study can be used to advise the local authorities/government in prioritizing the areas of immediate erosion mitigation. This research implies that GIS and remote sensing provide promising tools for evaluating and mapping soil erosion risks in the Sincanlı area
Anahtar Kelime:

Konular: Çevre Mühendisliği
Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık
  • Amore E, Modica C, Nearing MA, Santoro VC (2004) Scale effect in USLE and WEPP application for soil erosion computation from three Sicilian basins. Journal of Hydrology 293 (1–4):100–114.
  • Anonymous (1991) Status of Desertification and Implementation of the UN Plan of Action to Combat Desertification. United Nations Environment Programme (UNEP), Nairobi.
  • Anonymous (1996) Cell based modeling with GRID. Environmental Systems Research Institute Inc., Redlands, CA.
  • Anonymous (1998) ERDAS Imagine 8.3.1. ERDAS, Atlantaa. Bartolini D, Borselli L, Calzolari C, De Alba S, Guermandi M, Laruccia N, Torri
  • D, Ungaro F (2003) Soil erosion processes assessment in hilly and mountainous areas of Regione Emilia–Romagna. In: Angelelli A, Barchiesi P, Fomi S (eds.) Proceedings of the 4th European Congress on Regional Geoscientific Cartography and Information Systems, June 17th–20th 2003, Bologna, Vol. I, 122–123.
  • Bayramin I, Başaran M, Erpul G, Canga RM (2008) Assessing the effect of land use changes on soil sensitivity to soil erosion in a highland ecosystem of semi-arid Turkey. Environmental Monitoring and Assessment 140: 249-265.
  • Beskow S, Mello CR, Norton LD, Curi N, Viola MR, Avanzi JC (2009) Soil erosion prediction in the Grande River Basin, Brasil using distributed modeling. Catena 79 (1): 49–59.
  • Boggs G, Devonport C, Evans K, Puig P (2001) GIS–based rapid assessment of erosion risk in a small catchment in the wet/dry Tropics of Australia. Land Degradation and Development 12: 417–434.
  • Brown LR (1984) Conserving soils. In: Brown LR (ed.) State of the World, Norton, New York, 53–75.
  • Cox C, Madramootoo C (1998) Application of geographic information systems in watershed management planning in St. Lucia. Computers and Electronics in Agriculture 20: 229–250.
  • Deumlich D, Thiere J, Frielinghaus M, Voelker L (2000) MMK characterisation and classification of site conditions in the new federal states of Germany. European Soil Bureau, Institute for Soil Landscape Research, Centre for Agricultural and Land Use Research, Report No: 4, Müncheberg.
  • Diodato N (2005) Geostatistical Uncertainty Modeling for the Environmental Hazard Assessment during Single Erosive Rainstorm Events. Environmental Monitoring and Assessment 105: 25-42.
  • D’Odorico P, Yoo J, Over TM (2001) An Assessment of ENSO-Induced Patterns of Rainfall Erosivity in the Southwestern United States. Journal of Climate 14: 4230–4242.
  • Doğan O, Cebel H, Küçükçakır N, Akgül S (2000) Türkiye Büyük Toprak Gruplarının Erozyona Duyarlılık “K” Faktörleri. Köy Hizmetleri Genel Müdürlüğü, Araştırma Planlama Koordinasyon Dairesi Başkanlığı, Toprak ve Su Kaynakları Araştırmaları Şube Müdürlüğü Yayın No: 111, Rehber No.17, Ankara.
  • Erdoğan EH, Erpul G, Bayramin İ (2007) Use of USLE/GIS methodology for predicting soil loss in a semiarid agricultural watershed. Environmental Monitoring and Assessment 131: 153–161.
  • Fernandez C, Wu JQ, McCool DK, Stöckle CO (2003) Estimating water erosion and sediment yield with GIS, RUSLE and SEDD. Journal of Soil and Water Conservation 58: 128–136.
  • Fıstıkoğlu O, Harmancıoğlu NB (2002) Integration of GIS and USLE in assessment of soil erosion. Water Resources Management 16: 447–467.
  • Foster GR (2004) User’s reference guide: Revised Universal Soil Loss Equation (RUSLE2). United States Department of Agriculture, Washington.
  • Foster GR, Wischmeier WH (1974) Evaluating irregular slopes for soil loss prediction. Transactions of the American Society of Agricultural Engineers 17: 305–309.
  • Fu BJ, Zhao WW, Chen LD, Zhang QJ, Lu YH, Gulinck H, Poesen J (2005) Assessment of Soil Erosion at Large Watershed Scale Using RUSLE and GIS: a Case Study in the Loess Plateau of China. Land Degradation and Development 16: 73-85.
  • İrvem A, Topaloğlu F, Uygur V (2007) Estimating spatial distribution of soil loss over Seyhan River Basin in Turkey. Journal of Hydrology 336: 30–37.
  • Kaya P (2008) Determination of rainfall energy and intensity for water erosion studies using long-term meteorological data at national scale in Turkey. MSc. Thesis,Ankara University, Graduate School of Natural and Applied Science, Ankara.
  • Lal R (1994) Soil erosion by wind and water: problems and prospects. In: Lal R (ed.) Soil Erosion Research Methods (Second edition). Soil and Water Conservation Society, St. Lucie Press, Delray Beach, 181-208.
  • Le Bissonnais Y, Montier C, Jamagne M, Daroussin J and King D (2002) Mapping erosion risk for cultivated soil in France. Catena 46: 207–220.
  • Lee S (2003) Soil erosion assessment and its verification using the universal soil loss equation and geographic information system: a case study at Boun, Korea. Environmental Geology 45: 457–465.
  • Lufafa A, Tenywa MM, Isabirye M, Majaliwa MJG, Woomer PL (2003) Prediction of Soil Erosion in a Lake Victoria Basin Catchment Using a GIS-Based Universal Soil Loss Model. Agricultural Systems 79: 883-894.
  • Mati BM, Morgan RPC, Gichuki FN, Quinton JN, Brewer TR, Liniger HP (2000) Assessment of erosion hazard with the USLE and GIS: A case study of the Upper Ewaso Ng’iro North basin of Kenya. International Journal of Applied Earth Observation and Geoinformation 2: 1–9.
  • Mitra B, Scott HD, Dixon JC, McKimmey JM (1998) Applications of fuzzy logic to the prediction of soil erosion in a large watershed. Geoderma 86: 183–209.
  • Moore I, Burch G (1986) Physical basis of the length-slope factor in the universal soil loss equation. Soil Science Society of America Journal 50: 1294–1298.
  • Morgan RPC (1986) Soil Erosion and Conservation. Longman Group, Essex.
  • Novotny V, Olem H (1994) Water Quality Presentation: Identification, and Management of Diffuse Pollution. Van Nostrand Reinhold, New York.
  • Onori F, Bonis PD, Grauso S (2006) Soil erosion prediction at the basin scale using the revised universal soil loss equation (RUSLE) in a catchment of Sicily (Southern Italy). Environmental Geology 50: 1129-1140.
  • Özcan AU, Erpul G, Başaran M, Erdoğan HE (2008) Use of USLE/GIS technology integrated with geostatistics to assess soil erosion risk in different land uses of İndağı Mountain Pass–Çankırı, Turkey. Environmental Geology 53: 1731–1741.
  • Pandey A, Chowdary VM, Mal BC (2007) Identification of critical erosion prone areas in the small agricultural watershed using USLE, GIS and remote sensing. Water Resource Management 21: 729–746.
  • Renard KG, Foster GR, Weesies GA, McCool DK, Yoder DC (1997) Predicting soil erosion by water: A guide to conservation planning with the Revised Universal Soil Loss Equation (RUSLE). United States Department of Agriculture Handbook No:703, Washington.
  • Shi ZH, Cai CF, Ding SW, Wang TW, Chow TL (2003) Soil Conservation Planning at the Small Watershed Level Using RUSLE with GIS: a Case Study in the Three Gorge Area of China. Catena 55: 33-48.
  • Svorin J (2003) A test three soil erosion models incorporated into a geographical information system. Hydrological Processes 17: 967–977.
  • Tagil S (2007) Land Degradation Risk Assessment for Tuzla Creek Basin (Biga Peninsula) Using a GISBased RUSLE Model. Ekoloji 17 (65): 11-20.
  • Torri D, Poesen J, Borselli L (1997) Predictability and uncertainty of the soil erodibility factor using a global dataset. Catena 31: 1–22.
  • Torri D, Poesen J, Borselli L (1998) Erratum to predictability and uncertainty of the soil erodibility factor using a global dataset. Catena 32: 307–308.
  • Torri D, Poesen J, Borselli L (2002) Corrigendum to ''Predictability and uncertainty of the soil erodibility
  • factor using a global dataset'' [Catena 31 (1997) 1-22] and to ''Erratum to Predictability and uncertainty of the soil erodibility factor using a global dataset'' [Catena 32 (1998) 307-308]. Catena 46: 309–310.
  • Toy TJ, Foster GR (1998) Guidelines for the Use of the Revised Universal Soil Loss Equation on Mined Lands, Construction Sites, and Reclaimed Lands. Office of Surface Mining, Reclamation, and Enforcement, Denver.
  • Tunc E, Schroder D (2010) Determination of the Soil Erosion level in Agricultural lands in the wester part of Ankara by USLE. Ekoloji 19 (75): 58-63.
  • Turnage KM, Lee SY, Foss JE, Kim KH, Larsen IL (1997) Comparison of soil and deposition rates using radiocesium, RUSLE, and buried soils in dolines in East Tennessee. Environmental Geology 29 (1–2): 1–10.
  • Van der Knijff JM, Jones RJA, Montanarella L (2000) Soil erosion risk assessment in Europe. European Commission Directorate General Joint Research Center, Space Applications Institute, Publication No: EUR 19044 EN, Brussels.
APA ERKAL T, YILDIRIM Ü (2012). Soil erosion risk assessment in the sincanlı subwatershed of the akarçay basin (Afyonkarahisar, Turkey) using the universal soil loss equation (USLE). , 18 - 29.
Chicago ERKAL TEVFİK,YILDIRIM Ünal Soil erosion risk assessment in the sincanlı subwatershed of the akarçay basin (Afyonkarahisar, Turkey) using the universal soil loss equation (USLE). (2012): 18 - 29.
MLA ERKAL TEVFİK,YILDIRIM Ünal Soil erosion risk assessment in the sincanlı subwatershed of the akarçay basin (Afyonkarahisar, Turkey) using the universal soil loss equation (USLE). , 2012, ss.18 - 29.
AMA ERKAL T,YILDIRIM Ü Soil erosion risk assessment in the sincanlı subwatershed of the akarçay basin (Afyonkarahisar, Turkey) using the universal soil loss equation (USLE). . 2012; 18 - 29.
Vancouver ERKAL T,YILDIRIM Ü Soil erosion risk assessment in the sincanlı subwatershed of the akarçay basin (Afyonkarahisar, Turkey) using the universal soil loss equation (USLE). . 2012; 18 - 29.
IEEE ERKAL T,YILDIRIM Ü "Soil erosion risk assessment in the sincanlı subwatershed of the akarçay basin (Afyonkarahisar, Turkey) using the universal soil loss equation (USLE)." , ss.18 - 29, 2012.
ISNAD ERKAL, TEVFİK - YILDIRIM, Ünal. "Soil erosion risk assessment in the sincanlı subwatershed of the akarçay basin (Afyonkarahisar, Turkey) using the universal soil loss equation (USLE)". (2012), 18-29.
APA ERKAL T, YILDIRIM Ü (2012). Soil erosion risk assessment in the sincanlı subwatershed of the akarçay basin (Afyonkarahisar, Turkey) using the universal soil loss equation (USLE). Ekoloji, 21(84), 18 - 29.
Chicago ERKAL TEVFİK,YILDIRIM Ünal Soil erosion risk assessment in the sincanlı subwatershed of the akarçay basin (Afyonkarahisar, Turkey) using the universal soil loss equation (USLE). Ekoloji 21, no.84 (2012): 18 - 29.
MLA ERKAL TEVFİK,YILDIRIM Ünal Soil erosion risk assessment in the sincanlı subwatershed of the akarçay basin (Afyonkarahisar, Turkey) using the universal soil loss equation (USLE). Ekoloji, vol.21, no.84, 2012, ss.18 - 29.
AMA ERKAL T,YILDIRIM Ü Soil erosion risk assessment in the sincanlı subwatershed of the akarçay basin (Afyonkarahisar, Turkey) using the universal soil loss equation (USLE). Ekoloji. 2012; 21(84): 18 - 29.
Vancouver ERKAL T,YILDIRIM Ü Soil erosion risk assessment in the sincanlı subwatershed of the akarçay basin (Afyonkarahisar, Turkey) using the universal soil loss equation (USLE). Ekoloji. 2012; 21(84): 18 - 29.
IEEE ERKAL T,YILDIRIM Ü "Soil erosion risk assessment in the sincanlı subwatershed of the akarçay basin (Afyonkarahisar, Turkey) using the universal soil loss equation (USLE)." Ekoloji, 21, ss.18 - 29, 2012.
ISNAD ERKAL, TEVFİK - YILDIRIM, Ünal. "Soil erosion risk assessment in the sincanlı subwatershed of the akarçay basin (Afyonkarahisar, Turkey) using the universal soil loss equation (USLE)". Ekoloji 21/84 (2012), 18-29.