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| CERRI,RODRIGO I.; REIS,FÁBIO A.G.V.; GRAMANI,MARCELO F.; GIORDANO,LUCILIA C.; ZAINE,JOSÉ EDUARDO. |
| ABSTRACT This paper presents a new approach of landslides zonation hazard studies, based on an integrated study of structural data along with geomorphological and external factors, in a hilly regions of Brazil, covered by a tropical humid rain-forest, called Serra do Mar. The Serra do Mar consists of a hilly region along the east coast of Brazil, with high slopes and many geological structures in a gneiss - migmatitic terrain. In contrast to traditional approaches, this method proposes that structural data (foliation, fractures and bedding planes) and its relation with the slope geometry, is important to be consider in the landslide zonation hazard, along with declivity, relative relief, soil and rock properties, land use and vegetation cover and... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Caraguatatuba; Geological Structures; Landslides; Serra do Mar; Hazard Zonation. |
| Ano: 2017 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652017000602609 |
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| CORRÊA,CLAUDIA V.S.; REIS,FÁBIO A.G.V.; GIORDANO,LUCILIA C.; BRESSANE,ADRIANO; CHAVES,CAMILA J.; AMARAL,ANA MARIA C. DO; BRITO,HERMES D.; MEDEIROS,GERSON A. DE. |
| ABSTRACT The geo-environmental zoning represents an important strategy in the territorial management. However, it requires a logical and structured procedure. Therefore, an approach using physiographic compartmentalization is proposed and applied as case study in a region covered by the topographic maps of São José dos Campos and Jacareí, Brazil. This region has great geological and geomorphological peculiarities, beyond being a place with large human interventions because of its quickly economic growth. The methodology is based on photointerpretation techniques and remote sensing in GIS environment. As a result, seven geo-environmental zones were obtained from a weighted integration by multicriteria analysis of physiographic units with land-use classes.... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Remote sensing; Decision-support; Earth sciences; Land use. |
| Ano: 2017 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652017000401503 |
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