Soil Erosion Susceptibility Prediction Using GIS-Based Multicriteria Analysis and Worldview-3 Satellite Images
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| Titel: | Soil Erosion Susceptibility Prediction Using GIS-Based Multicriteria Analysis and Worldview-3 Satellite Images |
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| Autoren: | Marić, Ivan, Jurišić, Mladen, Šiljeg, Ante, Domazetović, Fran, Radočaj, Dorijan |
| Quelle: | Tehnički Glasnik, Vol 18, Iss 4, Pp 513-517 (2024) Tehnički glasnik Volume 18 Issue 4 |
| Verlagsinformationen: | University North, 2024. |
| Publikationsjahr: | 2024 |
| Schlagwörter: | GIS-based multicriteria analysis, Technology, GAMA method, soil erosion, analytic hierarchy process (AHP), digital elevation model |
| Beschreibung: | 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. |
| Publikationsart: | Article |
| Dateibeschreibung: | application/pdf |
| ISSN: | 1848-5588 1846-6168 |
| DOI: | 10.31803/tg-20230425115933 |
| Zugangs-URL: | https://doaj.org/article/9fc537c1bba441539e998a16512c4cda https://hrcak.srce.hr/clanak/464494 https://doi.org/10.31803/tg-20230425115933 https://hrcak.srce.hr/321390 https://doi.org/10.31803/tg-20230425115933 https://hrcak.srce.hr/file/464494 https://hrcak.srce.hr/321390 https://doi.org/10.31803/tg-20230425115933 |
| Dokumentencode: | edsair.doi.dedup.....1adb0c80445ae37c3fe99ac76d74e6b8 |
| Datenbank: | OpenAIRE |
Nájsť tento článok vo Web of Science | 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. |
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| ISSN: | 18485588 18466168 |
| DOI: | 10.31803/tg-20230425115933 |