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Avalia??o da suscetibilidade a escorregamento na Serra do Mar pela aplica??o da compartimenta??o fisiográfica

机译:通过应用地理舱在塞拉中滑倒的易感感

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The study area is in Caraguatatuba and S?o Sebasti?o municipalities, in the north coast of the state of S?o Paulo, Brazil.?The area presents high potential for landslides occurrence because it is in the domain of Serra do Mar, with steep relief?associated with the high rainfall index of the region. Thus, analyzes aimed at the recognition and greater understanding of?conditioning factors and natural phenomenon, such as landslides, are of great importance in avoiding damages and risks?from the prediction of such phenomenon. The aim of this research is to assess the susceptibility to landslides through the?application of physiographic compartmentalization of the coast and mountain region of Caraguatatuba and S?o Sebasti?o?municipalities, in the State of S?o Paulo, Brazil. For this, photoanalysis techniques and photointerpretation of aerial images?were used, which allowed the division of the area into smaller units, according to similar physiographic characteristics,?which favored the choice of factors conditioning the occurrence of landslides. In addition, landslide scars maps were?also used in two different periods (1976 and 2011). The association of the landslides scars map with the physiographic compartmentalization analysis was fundamental for the elaboration of this research, since it validated the information acquired by the compartmentalization and determined the weights of the conditioning factors in the susceptibility map. The results showed that, among sixteen units, the physiographic units with high susceptibility — IV, V, VI, VIII, IX and XII — exhibited a predominantly high slope ( 30o), a large local amplitude (over 300 m) and gneisses and migmatites rocks.
机译:研究区位于CaraguataTuba和S?O Sebasti?O CiniCipilities,在S的北海岸的S?O Paulo,Brazil。该地区呈现出高潜力的山体滑坡发生,因为它位于Serra的领域,陡峭的浮雕?与该地区的高降雨指数相关联。因此,针对旨在认识和更高了解的分析以及山体滑坡等调节因素和自然现象,在避免损害和风险方面具有重要意义?从预测这种现象。本研究的目的是通过克拉加图巴岛海岸和山区的地理舱和山区的应用来评估山脉的易感性吗?o sebasti?o?o?o?在S?o Paulo,巴西的状态。为此,使用空中图像的光分析技术和光临界审商?被使用,这使得该地区的分裂成较小的单元,根据类似的地理特征,这有利于选择山体滑坡发生的因素。此外,滑坡疤痕地图?也用于两个不同的时期(1976年和2011年)。 Landslides疤痕图与地理分区分析分析的关联是对本研究制定的基础,因为它验证了独舍化所获得的信息,并确定了易感性图中的调节因素的重量。结果表明,在十六个单位中,具有高易感性 - IV,V,VI,VIII,IX和XII的地理学单元 - 展示了主要的高斜率(> 300),局部振幅(超过300米)和根茎migmatites岩石。

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