Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 494832
Title Comparative analysis of soil erosion sensitivity using various quantizations within GIS environment : an application on Sperchios river basin in Central Greece
Author(s) Paparrizos, Spyridon; Maris, Fotios; Kitikidou, Kyriaki; Anastasiou, Theofilos; Potouridis, Simeon
Source International Journal of River Basin Management 13 (2015)4. - ISSN 1571-5124 - p. 475 - 486.
Department(s) Alterra - Climate change and adaptive land and water management
Publication type Refereed Article in a scientific journal
Publication year 2015
Keyword(s) contours - Erosion - Gavrilovič - GIS - Greece - quantization - RUSLE

Soil erosion is a prominent cause of land degradation and desertification in Mediterranean countries. The detrimental effects of soil erosion are exemplified in climate (in particular climate change), topography, human activities and natural disasters. Modelling of erosion and deposition in complex terrains within a geographic information system (GIS) requires reliable estimation of topographic factors, as well as the formulation of erosion models adequate for digital representation of spatially distributed parameters. In the current paper, two different approaches for the estimation of erosion in the Sperchios river basin are described and evaluated using GIS – the Revised Universal Soil Loss Equation and the Gavrilovič method. Implementing the ArcGIS 10.2.1 programme, the necessary input data for these approaches were estimated using four different quantizations that were created using topographic maps, courtesy of the Greek Geographical Army Service. The results indicated that even though a high-resolution quantization is always preferred for more reliable results, when there is a lack of available data, coarser quantizations can also be used to extract similar estimations.

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