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Journal of Environmental Biology

pISSN: 0254-8704 ; eISSN: 2394-0379 ; CODEN: JEBIDP

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    Abstract - Issue May 2009, 30 (3)                                     Back


Interactions between marine facultative epiphyte Chlamydomonas sp

Soil erosion assessment using geographical information system (GIS) and remote sensing (RS) study from Ankara-Guvenc Basin, Turkey

Orhan Dengiz*1, Tugrul Yakupoglu1 and Oguz Baskan2

1Department of Soil Science, Faculty of Agriculture, Ondokuz Mayis University - 55139, Samsun-Turkey

2Soil and Water Resources, Ankara Research Institute, Ankara -06172, Turkey

(Received: September 05, 2007; Revised received: January 02, 2008; Accepted: February 12, 2008)

Abstract: The objective of this research was to assess vulnerable soil erosion risk with qualitative approach using GIS in Ankara-Guvenc Basin. The study area is located about 44 km north of Ankara and covers 17.5 km2. The selected theme layers of this model include topographic factor, soil factors (depth, texture, impermeable horizon) and land use. Slope layer and land use-land cover data were prepared by using DEM and Landsat-TM satellite image. According to land use classification, the most common land use type and land cover are rangeland (50.5%) then, rainfed (36.4%), week forest land (3.2%), irrigated land (0.7%) and other various lands (rock out crop and lake) (9.2%). Each land characteristic is also considered as a thematic layer in geographical information systems (GIS) process. After combination of the layers, soil erosion risk map was produced. The results showed that 44.4% of the study area is at  high soil erosion risk, whereas 42% of the study area is insignificantly and slightly susceptible to erosion risk. In addition, it was found that only 12.6% of the total area is moderately susceptible to erosion risk. Furthermore, conservation land management measures were also suggested for moderate, high and very high erosion risk areas in Ankara-Guvenc Basin.  

Key words: Erosion risk assessment, Land degradation, Geographical information systems (GIS), Remote sensing (RS)

PDF of full length paper is available with author (* odengiz@omu.edu.tr)

 

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