DENGİZ, Orhan Ondokuz Mayıs Üniversitesi - Ziraat Fakültesi - Toprak Bilimi ve Bitki Besleme Bölümü, Turkey , İMAMOĞLU, Ali Ondokuz Mayıs Üniversitesi - Ziraat Fakültesi - Toprak Bilimi ve Bitki Besleme Bölümü, Turkey , SAYGIN, Fikret Ondokuz Mayıs Üniversitesi - Ziraat Fakültesi - Toprak Bilimi ve Bitki Besleme Bölümü, Turkey , GÖL, Ceyhun Karatekin Üniversitesi - Orman Fakültesi, Turkey , EDİŞ, Semih Karatekin Üniversitesi - Orman Fakültesi, Turkey , DOĞAN, Ahmet Orman ve Su İşleri Bakanlığı - Çölleşme ve Erozyonla Mücadele Genel Müdürlüğü, Turkey

SOIL EROSION RISK ASSESSMENT USING ICONA MODELLING FOR INEBOLU WATERSHED

33886

Soil erosion is one of the most important environmental problems in most area of World. The aim of this research performed in İnebolu Watershed located in Kastamonu province is to create map of the distribution soil erosion risk classes using ICONA model. The soil erosion risk assessment stages of this model occurred seven steps. Main parameters of these steps are slope, geology, land use, 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 and soil maps. As a result of this process, the distribution of the potential erosion risk classes was 2.2% (low), 4.4% (moderate), 20.1% (medium), 34.1% (high) and 39.2% (extreme). Land use (step 4) and land cover (step 5) layers derived from Spot 2013 image data classification were combined to produce the soil protection map (step 6). Soil erodibility and soil protection layers were combined to form the ICONA soil erosion status map in the final step (step 7). This final map showed that 52.9% of the study area had high and very high for erosion sensitivity. On the other hand, 34.3% of the study area has lower (settlement, very low, low and appreciable) erosion condition. Only 12.5 of the total area has moderate erosion risk class. This study also showed that GIS and RS techniques play an important role in determine of soil erosion risk studies.

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ICONA , soil erosion , GIS and RS , Inebolu Watershed

Anadolu Journal Of Agricultural Sciences

142