AVALIAÇÃO DA INFLUÊNCIA DA RESOLUÇÃO DO MODELO DIGITAL DE TERRENO NA MODELAGEM NUMÉRICA DE ESCORREGAMENTOS E FLUXO DE DETRITOS.

Evaluation of the influence of digital terrain model resolution on the numerical modeling of shallow landslides and debris flow.

Authors

  • Alessandro Gustavo Franck Instituto de Pesquisas Hidráulicas, Universidade Federal do Rio Grande do Sul
  • Joana Souza de Gusmão Instituto de Geociências, Universidade Federal do Rio de Janeiro
  • Masato Kobiyama Instituto de Pesquisas Hidráulicas, Universidade Federal do Rio Grande do Sul

DOI:

https://doi.org/10.21170/geonorte.2021.V.12.N.40.01.23

Keywords:

Kanako-2D, SHALSTAB, movimentos de massa

Abstract

Landslides and debris flows in Brazil are natural phenomena triggered by extreme rainfall events. Over the last decades, a large number of events of various magnitudes have been recorded in different regions of Brazil. As an important preventive measure, maps of areas susceptible to mass movement are frequently elaborated. Computational models have been widely used, and are developed from Digital Terrain Models (DTM). Therefore, the objective of the present work was to evaluate the influence of the DTM resolution on the performance of the SHALSTAB and Kanako-2D models by applying them to a neighborhood in the municipality of Igrejinha/RS. A 2.5 m DTM was used, which was later resampled for resolutions of 5 m, 10 m, 25 m and 50 m. The results demonstrated a strong influence of the resolution, mainly in small scale of analysis and for the resolutions of 25 m and 50 m. They also showed that for such a mapping, the minimum resolution of a DTM must be 10 m.

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Published

2022-01-28 — Updated on 2022-03-03

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How to Cite

Franck, A. G., Gusmão, J. S. de ., & Kobiyama, M. (2022). AVALIAÇÃO DA INFLUÊNCIA DA RESOLUÇÃO DO MODELO DIGITAL DE TERRENO NA MODELAGEM NUMÉRICA DE ESCORREGAMENTOS E FLUXO DE DETRITOS.: Evaluation of the influence of digital terrain model resolution on the numerical modeling of shallow landslides and debris flow. REVISTA GEONORTE, 12(40), 1–23. https://doi.org/10.21170/geonorte.2021.V.12.N.40.01.23 (Original work published January 28, 2022)

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