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Coğrafi Bilgi Sistemleri ve Uzaktan Algılama ile Yamaç Havzası’nın (Bingöl) Erozyon Duyarlılık Analizi

Erosion Sensitivity Analysis of Yamac Watershed Using Geographical Information System And Remote Sensing

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Abstract (2. Language): 
The study was conduct to generate erosion sensitivity analysis of Yamac Watershed located in the south of Bingol city, Turkey. Lithology of the watershed is formed by extrusive and alluvial rocks. Cutting faults in the south of the watershed has increased elevation difference which can reach up to 1000 m between south and north. Erosion severity of the watershed is very high due to its geomorphological, climatic and vegetative properties. The aim of this study was create erosion sensitivity in Yamac watershed using slope degree, vegetation cover, drainage density and soil brightness. According the sensitivity map created by statistical methods derived superpositioning factor maps, %47 of watershed area was categorized as high while %30 was medium. Especially slope degrees, drainage density and vegetation are the major inducements for the severe erosion in the watershed. The erosion become dangerous for cultivated areas in the south of the watershed. Thus, to reduce erosion micro watershed practices should be accelerated.
Abstract (Original Language): 
Bu çalışmada Bingöl’ün güneyinde yer alan Yamaç Havzası’nın erozyon duyarlılık analizinin yapılması amaçlanmıştır. Yamaç Havzası’nda litoloji volkanik ve alüvyal kayaçlardan oluşmaktadır. Havzanın güneyinden fayla kesilmesi yükselti farkını artırmıştır. Havzanın kuzeyi ile güneyi arasında yükselti farkı 1000 m’yi bulmaktadır. Yamaç Havzası’nda jeomorfolojik, iklim ve bitki örtüsü özellikleri nedeniyle erozyon şiddeti yüksektir. Bu çalışmada eğim, bitki örtüsü, drenaj yoğunluğu ve toprak parlaklığı kullanılarak Yamaç Havzası’nda erozyon duyarlılığının oluşturulması amaçlanmıştır. Erozyona neden olan faktör haritalarının çakıştırılmasına dayanan istatistiksel yöntem kullanılarak oluşturulan duyarlılık haritasına göre havzanın % 47’sinde erozyon duyarlılığı yüksek, % 30’unda erozyon duyarlılığı ortadır. Erozyon şiddeti üzerinde eğim, bitki örtüsü ve drenaj yoğunluğunun etkisi belirgin olarak ortaya çıkmıştır. Havzanın güneyindeki tarım alanlarını etkileyen erozyonu azaltmak amacıyla mikro havza çalışmalarının hızlandırılması gerekmektedir.
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REFERENCES

References: 

Akay AE ve Sessions J (2005). Applying the Decision
Support System, TRACER, to Forest Road Design.
Western Journal of Applied Forestry, 20 (3): 184-
191.
Akay AE, Erdas O, Reis M ve Yuksel A (2008).
Estimating sediment yield from a forest road
network by using a sediment prediction model and
GIS techniques. Building and Environment, 43 (5):
687-695.
Akgün A (2007). Ayvalık ve Yakın Çevresinin Erozyon
ve Heyelan Duyarlılığının Coğrafi Bilgi Sistemleri
Tabanlı İncelenmesi, Dokuz Eylül Üniversitesi Fen
Bilimleri Enstitüsü Yayınlanmamış Doktora Tezi,
İzmir.
Beskow S, Mello CR, Norton LD, Curi N, Viola MR ve
Avanzi JC (2009). Soil erosion prediction in the
Grande River Basin, Brazil using distributed
modeling. Catena 79 (1): 49–59.
Boardman J ve Poesen J (2006). Soil erosion in Europe:
major processes, causes and consequences. In: Soil
Erosion in Europe. Edited J . Boardman and J.
Poesen. Pub. by ohn Wiley & Sons, Ltd, Chichester,
UK.
Butt MJ, Mahmood R ve Waqas A (2011). Sediments
deposition due to soil erosion in the watershed
region of Mangla Dam. Environ. Monit. Assess.,
181: 419–429.
Conoscenti C, Di Maggio C ve Rotigliano E (2008). Soil
erosion susceptibility assessment and validation
using a geostatistical multivariate approach: a test in
Southern Sicily. Natural Hazards, 46 (3): 287–305.
CORINE (1992). Soil Erosion Risk and Important Land
Resources in the Southeastern Regions of the
European Community. EUR 13233, Luxembourg,
32-48.
Crist EP ve Kauth RJ (1986). The Tasseled Cap
Demystified. Photogrammetric Engineering &
Remote Sensing, 52(1): 81-86.
Cürebal İ ve Ekinci D (2006). Kızılkeçili Deresi
Havzası’nda CBS tabanlı RUSLE (3d) yöntemi ile
erozyon analizi. Türk Coğrafya Dergisi, 47: 115-131
ÇEDPGM (1996) Türkiye çevre atlası.
http://www.cedgm.gov.tr/dosya/cevreatlasi/toprakve
arazi. pdf (Erişim tarihi: 18.04.2015).
Desmet PJJ ve Govers G (1996). A GIS Procedure for
automatically calculating the USLE LS Factor on
Çok Düşük
1%
Düşük
10%
Orta
30%
Yüksek
47%
Çok Yüksek
12%
127
YÜKSEL ve AVCI/ JAFAG (2015) 32 (2), 116-128
topographically complex landscape units. Journal of
soil and water conservation, 51: 427-433.
Ekinci D (2005). CBS Tabanlı Uyarlanmış Rusle Yöntemi
İle Kozlu Deresi Havzası’nda Erozyon Analizi,
İstanbul Üniversitesi Edebiyat Fakültesi Coğrafya
Bölümü, Coğrafya Dergisi, 13: 109-119.
Eroğlu H, Çakır G, Sivrikaya F ve Akay AE (2009). Using
high resolution images and elevation data in
classifying erosion risks of bare soil areas in the
Hatila Valley Natural Protected Area, Turkey. Stoch.
Environ. Res. Risk Access, 24: 699–704.
Foster GR, McCool, DK, Renard KG ve Moldenhauer
WC, (1981). Conversion of the Universal Soil Loss
Equation to SL Units. Journal of Soil and water
conservation, 36(6): 355-359.
GDREC (2008). General Directorate of Reforestation and
Erosion Control. ttp://www.agm.gov.tr (Erişim
tarihi: 18.04.2015).
Günal H ve Erşahin S (2006). Toprak Özelliklerinin
Tahmininde Sayısallaştırılmış Renk Parametrelerinin
Kullanımı, Ankara Üniversitesi Ziraat Fakültesi
Tarım Bilimleri Dergisi, 12(1): 85-92.
Ikbal M F ve Khan AI (2014). Spatiotemporal Land Use
Land Cover change analysis and erosion risk
mapping of Azad Jammu and Kashmir, Pakistan,
The Egyptian Journal of Remote Sensing and Space
Sciences, 17: 209–229.
IIRS (INDIAN INSTITUTE of REMOTE SENSING)
(2005). RS and GIS Applications in Water
Resources, Lectures Notes, Dehradun, India.
Jinren RN ve Yingkui KL (2003). Approach to soil
erosion assessment in terms of land-use structure
changes. Journal of Soil and Water Conservation, 58
(3): 158-169.
Lal R. (1994). Soil Erosion Research Method; Second
Edition. Soil and Water Conservation Society:
Ankeny, IA, USA, 352.
Lee S (2004). Soil erosion assessment and its verification
using the universal soil loss equation and geographic
ınformation system: a case study at Boun. Korea.
Environmental Geology, 45(4): 457–465.
Moore ID ve Wilson JP (1992). Length-slope factors for
the Revised Universal Soil Loss Equation Simplified
method of estimation. Journal of Soil and water
conservation, 47: 423-428.
Nigel R ve Rughooputh S (2010). Soil erosion risk
mapping with new datasets: an improved
identification and prioritization of high erosion risk
areas. Catena, 82: 191–205.
Özdemir H (2007). Havran Çayı Havzasının (Balıkesir)
CBS ve Uzaktan Algılama Yöntemleriyle Taşkın ve
Heyelan Risk Analizi. İstanbul Üniversitesi Sosyal
Bilimler Enstitüsü Basılmamış Doktora Tezi,
İstanbul.
Rouse JW, Haas RH, Schell JA ve Deerıng DW (1973).
Monitoring vegetation systems in the great plains
with ERTS. Proceedings of the 3rd ERTS
Symposium NASA SP-351, 1: 48-62.
Sanchez-Maran˜on M, Soriano M, Melgosa M, Delgado G
ve Delgado R (2004). Quantifying the effects of
aggregation, particle size and components on the
colour of Mediterranean soils. European Journal of
Soil Science, 51: 551-565.
Selby MJ (1982). Rock mass strength and the form
inselberg in the Central Namib Desert. Earth Surface
Proccesses and Landforms, 7: 489–497.
Sümengen M (2011). 1/100000 Ölçekli Türkiye Jeoloji
Haritaları, Elazığ K44 Paftası, MTA Genel
Müdürlüğü Jeoloji Etütleri Dairesi, Ankara.
Tian YC, Zhou YM, Wu BF ve Zhou WF, (2008). Risk
assessment of water soil erosion in upper basin of
Miyun Reservoir, Beijing, China. Environ. Geol., 57
(4): 937–942.
Torrent J ve Barron V (1993). Laboratory measurement of
soil color: theory and practice. In: Soil Color. Edited
J.M Bigham and E.J. Ciolkosz. Pub. by Soil Science
Society of America, Madison, Wı, USA, 21-34.
Yıldırım Ü (2011). Assessment of Soil Erosion at the
Değirmen Creek Watershed Area, Afyonkarahisar,
Turkey, International Symposium on Environmental
Protection and Planning: Geographic Information
Systems (GIS) and Remote Sensing (RS)
Applications (ISEPP).
Yüksel A, Gündoğan R ve Akay AE (2008). Using the
Remote Sensing and GIS Technology for Erosion
Risk Mapping of Kartalkaya Dam Watershed in
Kahramanmaraş, Turkey. Sensors, 8: 4851-4865.
Zachar D (1982). Soil Erosion, Elsevier Scientifıc
Publishing Company, USA.
Zhou WF, Wu BF ve Li QZ (2005). Spatial and temporary
change analysis of soil erosion intensity in recent 20
years in the upper basin of Guanting reservoir (in
Chinese, with English abstract). Res. Soil Water
Conserv.ation, 12 (6): 183–186.

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