Avaliação da suscetibilidade a deslizamentos em taludes de terraços agrícolas: modelos matemáticos de base física = Evaluation of landslides susceptibility in agricultural terraces: physicaly based mathematical models

Detalhes bibliográficos
Autor(a) principal: Bateira, Carlos
Data de Publicação: 2018
Outros Autores: Costa, António, Fernandes, Joana, Fonseca, Bruno
Tipo de documento: Livro
Idioma: por
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://hdl.handle.net/10216/116947
Resumo: The Douro Valley presents in the eastern region extensive areas of vineyards that belong to the oldest demarcated region dedicated to wine production (RDD). The instability modeling of the agricultural terraces base on the digital elevation models (DEM) and on the physical parameters that characterize the terrain, it is possible to model the spatial variation of the susceptibility to the occurrence of shallow landslides on terraced slopes, using the SHALSTAB (Shallow Landslide Stability Model). It is verified that the DEMs resolution is an essential element of the modeling process, only possible with the acquisition of images at a low altitude, capable to build DEMs of very high resolution. In the case of SHALSTAB it can be seen that the best results become from the combination of higher resolution DEMs for the modeling of the instability component and the lower resolution ones for modeling of the hydrological component. With the contingency tables validation it is possible to identify that the model that combine a DEM of 1m resolution for the contributory area and a DEM of 40cm for the instability modeling of the riser terraces has better performance, presenting a predictive capacity of 97% of the landslides. Among the models with the best predictive capacity, there is also a relation between the true positive index and the false negative index of 2.1. The use of higher resolutions (20cm and 40cm) revealed inefficiency in the prediction of most landslides due to the low efficiency to model the internal flow. This results from the absence of similarity between the internal flow and the topographic surface deeply modified with the construction of the agricultural terraces. This similarity exists between the general topographic configuration of the slope and the internal flow, before the organization in agricultural terraces. This justifies the better performance of the combination of the lower resolution DEMs for the hydrological component and higher resolution DEMs for the instability component.
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spelling Avaliação da suscetibilidade a deslizamentos em taludes de terraços agrícolas: modelos matemáticos de base física = Evaluation of landslides susceptibility in agricultural terraces: physicaly based mathematical modelsGeografiaGeographyThe Douro Valley presents in the eastern region extensive areas of vineyards that belong to the oldest demarcated region dedicated to wine production (RDD). The instability modeling of the agricultural terraces base on the digital elevation models (DEM) and on the physical parameters that characterize the terrain, it is possible to model the spatial variation of the susceptibility to the occurrence of shallow landslides on terraced slopes, using the SHALSTAB (Shallow Landslide Stability Model). It is verified that the DEMs resolution is an essential element of the modeling process, only possible with the acquisition of images at a low altitude, capable to build DEMs of very high resolution. In the case of SHALSTAB it can be seen that the best results become from the combination of higher resolution DEMs for the modeling of the instability component and the lower resolution ones for modeling of the hydrological component. With the contingency tables validation it is possible to identify that the model that combine a DEM of 1m resolution for the contributory area and a DEM of 40cm for the instability modeling of the riser terraces has better performance, presenting a predictive capacity of 97% of the landslides. Among the models with the best predictive capacity, there is also a relation between the true positive index and the false negative index of 2.1. The use of higher resolutions (20cm and 40cm) revealed inefficiency in the prediction of most landslides due to the low efficiency to model the internal flow. This results from the absence of similarity between the internal flow and the topographic surface deeply modified with the construction of the agricultural terraces. This similarity exists between the general topographic configuration of the slope and the internal flow, before the organization in agricultural terraces. This justifies the better performance of the combination of the lower resolution DEMs for the hydrological component and higher resolution DEMs for the instability component.20182018-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bookapplication/pdfhttps://hdl.handle.net/10216/116947porBateira, CarlosCosta, AntónioFernandes, JoanaFonseca, Brunoinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-29T15:47:55Zoai:repositorio-aberto.up.pt:10216/116947Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T00:32:27.549283Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Avaliação da suscetibilidade a deslizamentos em taludes de terraços agrícolas: modelos matemáticos de base física = Evaluation of landslides susceptibility in agricultural terraces: physicaly based mathematical models
title Avaliação da suscetibilidade a deslizamentos em taludes de terraços agrícolas: modelos matemáticos de base física = Evaluation of landslides susceptibility in agricultural terraces: physicaly based mathematical models
spellingShingle Avaliação da suscetibilidade a deslizamentos em taludes de terraços agrícolas: modelos matemáticos de base física = Evaluation of landslides susceptibility in agricultural terraces: physicaly based mathematical models
Bateira, Carlos
Geografia
Geography
title_short Avaliação da suscetibilidade a deslizamentos em taludes de terraços agrícolas: modelos matemáticos de base física = Evaluation of landslides susceptibility in agricultural terraces: physicaly based mathematical models
title_full Avaliação da suscetibilidade a deslizamentos em taludes de terraços agrícolas: modelos matemáticos de base física = Evaluation of landslides susceptibility in agricultural terraces: physicaly based mathematical models
title_fullStr Avaliação da suscetibilidade a deslizamentos em taludes de terraços agrícolas: modelos matemáticos de base física = Evaluation of landslides susceptibility in agricultural terraces: physicaly based mathematical models
title_full_unstemmed Avaliação da suscetibilidade a deslizamentos em taludes de terraços agrícolas: modelos matemáticos de base física = Evaluation of landslides susceptibility in agricultural terraces: physicaly based mathematical models
title_sort Avaliação da suscetibilidade a deslizamentos em taludes de terraços agrícolas: modelos matemáticos de base física = Evaluation of landslides susceptibility in agricultural terraces: physicaly based mathematical models
author Bateira, Carlos
author_facet Bateira, Carlos
Costa, António
Fernandes, Joana
Fonseca, Bruno
author_role author
author2 Costa, António
Fernandes, Joana
Fonseca, Bruno
author2_role author
author
author
dc.contributor.author.fl_str_mv Bateira, Carlos
Costa, António
Fernandes, Joana
Fonseca, Bruno
dc.subject.por.fl_str_mv Geografia
Geography
topic Geografia
Geography
description The Douro Valley presents in the eastern region extensive areas of vineyards that belong to the oldest demarcated region dedicated to wine production (RDD). The instability modeling of the agricultural terraces base on the digital elevation models (DEM) and on the physical parameters that characterize the terrain, it is possible to model the spatial variation of the susceptibility to the occurrence of shallow landslides on terraced slopes, using the SHALSTAB (Shallow Landslide Stability Model). It is verified that the DEMs resolution is an essential element of the modeling process, only possible with the acquisition of images at a low altitude, capable to build DEMs of very high resolution. In the case of SHALSTAB it can be seen that the best results become from the combination of higher resolution DEMs for the modeling of the instability component and the lower resolution ones for modeling of the hydrological component. With the contingency tables validation it is possible to identify that the model that combine a DEM of 1m resolution for the contributory area and a DEM of 40cm for the instability modeling of the riser terraces has better performance, presenting a predictive capacity of 97% of the landslides. Among the models with the best predictive capacity, there is also a relation between the true positive index and the false negative index of 2.1. The use of higher resolutions (20cm and 40cm) revealed inefficiency in the prediction of most landslides due to the low efficiency to model the internal flow. This results from the absence of similarity between the internal flow and the topographic surface deeply modified with the construction of the agricultural terraces. This similarity exists between the general topographic configuration of the slope and the internal flow, before the organization in agricultural terraces. This justifies the better performance of the combination of the lower resolution DEMs for the hydrological component and higher resolution DEMs for the instability component.
publishDate 2018
dc.date.none.fl_str_mv 2018
2018-01-01T00:00:00Z
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instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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