Technical Journal, Vol. 18 No. 4, 2024.
Original scientific paper
https://doi.org/10.31803/tg-20230425115933
Soil Erosion Susceptibility Prediction Using GIS-Based Multicriteria Analysis and Worldview-3 Satellite Images
Ante Šiljeg
orcid.org/0000-0001-6332-174X
; University of Zadar, Department of Geography, Trg kneza Višeslava 9, 23000 Zadar, Croatia
Mladen Jurišić
; Faculty of Agrobiotechnical Sciences Osijek, Vladimira Preloga 1, 31000 Osijek, Croatia
Ivan Marić
orcid.org/0000-0002-9723-6778
; University of Zadar, Department of Geography, Trg kneza Višeslava 9, 23000 Zadar, Croatia
Fran Domazetović
; University of Zadar, Department of Geography, Trg kneza Višeslava 9, 23000 Zadar, Croatia
Dorijan Radočaj
; Faculty of Agrobiotechnical Sciences Osijek, Vladimira Preloga 1, 31000 Osijek, Croatia
*
* Corresponding author.
Abstract
Soil erosion has been identified as a major threat to existing soil deposits, which negatively affects ecosystem sustainability, agricultural production and clean water supply. This study covered the eastern part of Kaštela Bay with the aim of developing a model of susceptibility to soil erosion by applying the GIS-based multicriteria analysis, based on nine determinant criteria categorized by the Jenks method in five classes. The largest representation of soil erosion susceptibility was detected on the slopes of the Kozjak and Mosor massifs. According to the calculated weighting coefficients using the analytic hierarchy process (AHP), the slope was the most impactful criterion with 29.9 % importance. It was followed by hydrological criteria of topographic wetness index, standardized precipitation index and LS-factor, with 13.1 % importance each. After the development of the model, zones of very high and high susceptibility to soil erosion were delineated, with a combined coverage of 33.34 % of the study area. These areas were identified as a potential threat from the future occurrence of negative effects of soil erosion, which should be addressed in the future by land policy managers and government managers.
Keywords
analytic hierarchy process (AHP); digital elevation model; GAMA method; GIS-based multicriteria analysis; soil erosion
Hrčak ID:
321390
URI
Publication date:
5.12.2024.
Visits: 238 *