DBPapers
DOI: 10.5593/SGEM2015/B32/S13.023

GIS APPLICATION IN SEDIMENT DELIVERY ESTIMATION: COMPARISON OF TWO MODEL APPROACHES

E. Kondrlova, J. Antal
Thursday 24 September 2015 by Libadmin2015

References: 15th International Multidisciplinary Scientific GeoConference SGEM 2015, www.sgem.org, SGEM2015 Conference Proceedings, ISBN 978-619-7105-37-7 / ISSN 1314-2704, June 18-24, 2015, Book3 Vol. 2, 169-176 pp

ABSTRACT
Soil erosion is recognized as one of the most common physical soil degradation process in Slovakia. It seriously affects the soil properties and soil functions. To assess or estimate the intensity of this process, various soil erosion measurements techniques are used worldwide. However, these measurements are time consuming, related to specific sites and environmental conditions. To estimate the soil erosion risk, GIS approach can be taken into consideration. With fast IT development, GIS tools can perform very complicated mathematical calculations in very short time. Nowadays, there are various models available and it is up to user, the quality of input data and the specific goal to express which one to choose. The main aim of this paper was to compare two model approaches to estimate the sediment delivery intensity on agricultural land in the Širočina River subcatchment (western Slovakia). The first method included calculation of mean long-term soil loss using universal soil loss equation (USLE) in ArcGIS 10.0 software (© ESRI). Estimated values were subsequently reduced by the sediment delivery ratio, since not all eroded soil particles are transported from land up to water recipient. Secondly, erosion-sedimentation model WaTEM/SEDEM (KU Leuven), which works with IDRISI32 (©Clark Labs) file format was used. The model comparison includes demand on model required/optional inputs, model outputs and advantages/ disadvantages of each model approach. The paper can assist the potential users by decision making of choosing the most suitable model to meet their requirements.

Keywords: GIS, USLE, WaTEM/SEDEM, sediment delivery ratio, model comparison

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