Título: | MAPPING OF DEBRIS FLOW RISK AREAS BASED ON A GIS MODEL | ||||||||||||
Autor: |
PAULA MORAIS CANEDO DE MAGALHAES |
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Colaborador(es): |
ALBERTO DE SAMPAIO FERRAZ JARDIM SAYAO - Orientador |
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Catalogação: | 31/AGO/2021 | Língua(s): | PORTUGUESE - BRAZIL |
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Tipo: | TEXT | Subtipo: | THESIS | ||||||||||
Notas: |
[pt] Todos os dados constantes dos documentos são de inteira responsabilidade de seus autores. Os dados utilizados nas descrições dos documentos estão em conformidade com os sistemas da administração da PUC-Rio. [en] All data contained in the documents are the sole responsibility of the authors. The data used in the descriptions of the documents are in conformity with the systems of the administration of PUC-Rio. |
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Referência(s): |
[pt] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/ETDs/consultas/conteudo.php?strSecao=resultado&nrSeq=54449&idi=1 [en] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/ETDs/consultas/conteudo.php?strSecao=resultado&nrSeq=54449&idi=2 |
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DOI: | https://doi.org/10.17771/PUCRio.acad.54449 | ||||||||||||
Resumo: | |||||||||||||
The identification of areas prone to the occurrence of natural disasters is an
important information, especially in urban areas. Therefore, this study aimed to propose a methodology for debris flow risk assessment, considered as one of the natural disasters that most cause deaths and material losses. To this end, this study made the slope stability modeling directly in a GIS software, in which the Infinite Slope Model was used for the slope stability calculation, and the CN
Method, as the infiltration model. For the risk assessment, Risk is defined by the product of the probability of the occurrence of a debris flow event (Hazard), where the influence
of the environment s physical characteristics and its triggering process are evaluated; with
the severity of its consequences, measured in terms of the affected population (Exposure) and its weaknesses (Vulnerability). The results obtained were satisfactory, indicating that the methodology presented was adequate to achieve the proposed objectives, qualifying it as viable and promising
for future studies. Among its advantages: being easily replicated to other areas of study; have a simple sequence of calculations; have easily obtainable input data; and present low
computational cost.
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