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Different Approaches to Estimation of Drainage Density and Their Effect on the Erosion Potential Method

University of Rijeka, Faculty of Civil Engineering, Radmile Matejčić 3, 51 000 Rijeka, Croatia
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Water 2019, 11(3), 593; https://doi.org/10.3390/w11030593
Received: 28 January 2019 / Revised: 15 March 2019 / Accepted: 18 March 2019 / Published: 21 March 2019
(This article belongs to the Special Issue Insights on the Water–Energy–Food Nexus)
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Abstract

This paper analyses the possibilities of improving the precision of, and obtaining better, drainage density (Dd) input data for the Erosion Potential Method (EPM). This method is used for erosion assessments in karst areas that are characterised by torrential watercourses. The analysis is conducted in the Dubračina catchment in Croatia. Four different methodologies are used to derive a Dd map. The approaches use different assumptions and allow different spatial variability. The first two are commonly applied in the EPM. The Dd in the first case scenario corresponds to very low Dd and is homogenous throughout the entire catchment. In the second case, Dd is calculated on the sub-catchment level and varies from very low to medium. The third and fourth case scenarios provide the most spatially variant maps. The output of the third case is the actual Dd based on a topographic map, and the fourth potential Dd is based on a river network map derived from a Lidar digital elevation model. The third and fourth case scenarios provide better spatial variability for the Dd parameter, and both case scenarios are considered appropriate input data for the EPM and an improvement of the accuracy and precision of the EPM. View Full-Text
Keywords: Erosion Potential Method; drainage density; spatial variance; soil erosion; digital elevation model; river network Erosion Potential Method; drainage density; spatial variance; soil erosion; digital elevation model; river network
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Dragičević, N.; Karleuša, B.; Ožanić, N. Different Approaches to Estimation of Drainage Density and Their Effect on the Erosion Potential Method. Water 2019, 11, 593.

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