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Registro Completo |
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Biblioteca(s): |
Embrapa Pantanal. |
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Data corrente: |
25/11/2005 |
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Data da última atualização: |
17/07/2018 |
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Autoria: |
PEROTTO-BALDIVIESO, H. L. |
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Afiliação: |
Texas A&M University. |
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Título: |
Landslide hazard zonation in namasigue and el triunfo, southern Honduras. |
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Ano de publicação: |
2000 |
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Fonte/Imprenta: |
2000. |
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Páginas: |
130 p. |
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Descrição Física: |
il |
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Idioma: |
Português |
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Notas: |
Thesis Master of science. Submitted to the Office of graduated Studies of Texas A&M University. |
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Conteúdo: |
Hurricane Mitch was considered one of the strongest hurricanes of the century. While pasing through Honduras and Nicaragua, it weakened and generated intense rain that triggered widespread landslides and flooding. The objective of this thesis was to test two models to determine the feasibility of creating landslide hazard maps. Data were used to determine how landslide occurrence was affected by the variables in the model. Four easily observable variables were used for both models: slope, aspect, stream proximity and land cover type. A heuristic adaptation approach and a logistic regression approache were developed based on the data from Namasigue watershed. Once landslide hazard maps wee developed and tested for accuracy using the Namasigue data, they were applied to El Triunfo. The degree of slope influences the occurrence of landslides. Land cover seems to have and influence on landslide activity. Forest and shrub fallow appear to decrease the probability of land being affected by landslides. The landslide hazard map suggests that forests and shrub fallows might also offer a protective cover and, thus reduce landslide activity. The percentage of land affected by landslides increases at a second degree polynomial rate as slope increases in bare soil, crops and grass fallow cover types. Therefore, vegetation removal seems to increase landslide activity. The heuriistic adaptation approach seems to be a consistent method to assess landslide activity since the validation process showed similar resuts in terms of hazard category distribution. The logistic regression approach results did not show consistency in terms of the distribution o landlides by hazard category. Further research and adjustments need to be performed to assess transportability of the logistic regression approach. MenosHurricane Mitch was considered one of the strongest hurricanes of the century. While pasing through Honduras and Nicaragua, it weakened and generated intense rain that triggered widespread landslides and flooding. The objective of this thesis was to test two models to determine the feasibility of creating landslide hazard maps. Data were used to determine how landslide occurrence was affected by the variables in the model. Four easily observable variables were used for both models: slope, aspect, stream proximity and land cover type. A heuristic adaptation approach and a logistic regression approache were developed based on the data from Namasigue watershed. Once landslide hazard maps wee developed and tested for accuracy using the Namasigue data, they were applied to El Triunfo. The degree of slope influences the occurrence of landslides. Land cover seems to have and influence on landslide activity. Forest and shrub fallow appear to decrease the probability of land being affected by landslides. The landslide hazard map suggests that forests and shrub fallows might also offer a protective cover and, thus reduce landslide activity. The percentage of land affected by landslides increases at a second degree polynomial rate as slope increases in bare soil, crops and grass fallow cover types. Therefore, vegetation removal seems to increase landslide activity. The heuriistic adaptation approach seems to be a consistent method to assess landslide activity since the validation proc... Mostrar Tudo |
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Palavras-Chave: |
Hazard; Landslide; Maps; Zonation. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02344nam a2200181 a 4500
001 1811766
005 2018-07-17
008 2000 bl uuuu m 00u1 u #d
100 1 $aPEROTTO-BALDIVIESO, H. L.
245 $aLandslide hazard zonation in namasigue and el triunfo, southern Honduras.
260 $a2000.$c2000
300 $a130 p.$cil
500 $aThesis Master of science. Submitted to the Office of graduated Studies of Texas A&M University.
520 $aHurricane Mitch was considered one of the strongest hurricanes of the century. While pasing through Honduras and Nicaragua, it weakened and generated intense rain that triggered widespread landslides and flooding. The objective of this thesis was to test two models to determine the feasibility of creating landslide hazard maps. Data were used to determine how landslide occurrence was affected by the variables in the model. Four easily observable variables were used for both models: slope, aspect, stream proximity and land cover type. A heuristic adaptation approach and a logistic regression approache were developed based on the data from Namasigue watershed. Once landslide hazard maps wee developed and tested for accuracy using the Namasigue data, they were applied to El Triunfo. The degree of slope influences the occurrence of landslides. Land cover seems to have and influence on landslide activity. Forest and shrub fallow appear to decrease the probability of land being affected by landslides. The landslide hazard map suggests that forests and shrub fallows might also offer a protective cover and, thus reduce landslide activity. The percentage of land affected by landslides increases at a second degree polynomial rate as slope increases in bare soil, crops and grass fallow cover types. Therefore, vegetation removal seems to increase landslide activity. The heuriistic adaptation approach seems to be a consistent method to assess landslide activity since the validation process showed similar resuts in terms of hazard category distribution. The logistic regression approach results did not show consistency in terms of the distribution o landlides by hazard category. Further research and adjustments need to be performed to assess transportability of the logistic regression approach.
653 $aHazard
653 $aLandslide
653 $aMaps
653 $aZonation
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Registro original: |
Embrapa Pantanal (CPAP) |
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| Registros recuperados : 6 | |
| 5. |  | SANTOS, S. A.; LIMA, H. P. de; OLIVEIRA, L. O. F. de; TOMAS, W. M.; ABREU, U. G. P. de; MASSRUHA, S. M. F. S.; PEROTTO-BALDIVIESO, H. L. Integrating remote sensing, geographic information system and fuzzy logic: an index to evaluate the natural potential for livestock ranching in the Pantanal. In: SIMPÓSIO DE GEOTECNOLOGIAS NO PANTANAL, 4., 2012, Bonito, MS. Anais... Brasília: Embrapa, 2012. p.202-209. CD-ROM.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Pantanal. |
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| 6. | | SANTOS, S. A.; LIMA, H. P. de; OLIVEIRA, L. O. F. de; TOMÁS, W. M.; ABREU, U. G. P. de; MASSRUHÁ, S. M. F. S.; PEROTTO-BALDIVIESO, H. L. Integrating remote sensing, geographic information system and fuzzy logic: an index to evaluate the natural potential for livestock ranching in the Pantanal. In: SIMPÓSIO DE GEOTECNOLOGIAS NO PANTANAL, 4., 2012, Bonito, MS. Anais... Brasília, DF: Embrapa, 2012. p. 202-209. 1 CD-ROM. Geopantanal 2012.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Agricultura Digital. |
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| Registros recuperados : 6 | |
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| Nenhum registro encontrado para a expressão de busca informada. |
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