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Orientador(es)
Resumo(s)
The evaluation of rainfall-induced soil erosion risk is fundamental for territorial planning and takes into account parameters such as rainfall erosivity, soil erodibility and the topographic factor. The Triangular Irregular Network (TIN) is the most frequently used interpolator in the production of digital elevation models (DEM) but is considered unsuitable by several authors for the calculation of soil erosion. Therefore, the DEM created for the city of Torres Novas, Portugal, using interpolation methods such as Inverse Distance Weighting, Ordinary Kriging, and Empirical Bayesian Kriging (EBK) were evaluated to determine which one was the most accurate. The best interpolator was EBK, from which a rainfall-induced soil erosion map was created. A map was also produced from TIN and both were compared with historical cartography. The EBK method was found to be the most effective interpolator for rainfall-induced soil erosion as well. Therefore, the authors recommend its use in future studies in the municipality of Torres Novas.
Descrição
Pecegueiro, I. V., Painho, M., & Costa, A. C. (2025). Comparison of interpolation methods in the production of rainfall-induced soil erosion maps in the urban area of Torres Novas, Portugal. In A. Degbelo, S. Coetzee, C. Keßler, M. Sester, S. Timpf, & L. Bernard (Eds.), Proceedings of the 28th AGILE Conference on Geographic Information Science, 10–13 June 2025 (Vol. 6). Article 42 (AGILE: GIScience Series (AGILE GISS); Vol. 6). Copernicus Publications. https://doi.org/10.5194/agile-giss-6-42-2025 --- The authors acknowledge the support by national funds through FCT (Fundação para a Ciência e a Tecnologia), under the project - UIDB/04152/2020 (DOI: 10.54499/UIDB/04152/2020) - Centro de Investigação em Gestão de Informação (MagIC)/NOVA IMS)
Palavras-chave
rainfall-induced soil erosion topographic factor triangulated irregular network kriging SDG 13 - Climate Action SDG 15 - Life on Land
Contexto Educativo
Citação
Editora
Copernicus Publications
