Landslide susceptibility mapping based on rainfall scenarios: a case study from Sao Paulo in Brazil

IF 0.9 Q4 GEOSCIENCES, MULTIDISCIPLINARY
Leila Maria Ramos, T. Bazzan, M. Motta, G. Bernardes, H. Giacheti
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引用次数: 0

Abstract

Mass movement susceptibility mapping from rainfall data and in situ site characterization constitute an important approach for preventing geological-geotechnical accidents on railroads and highways. A comprehensive site characterization program was conducted to identify slopes with mass movements along the 44 km of SP-171 road in the state of Sã o Paulo, Brazil. Ninety-two slopes with some degree of instability were found along this section of the road, including rupture scars, active erosive processes and the presence of unstable rock blocks. Two scenarios for mass movement susceptibility (100 mm and 500 mm of accumulated rainfall) were defined by overlaying thematic maps of relief, soil type, geology, accumulated rainfall and declivity using geographic information system-based techniques. The results for both scenarios identified the regions with high and medium susceptibility to mass movements; for the scenario of 100 mm of accumulated rainfall; we found that 27% and 73% of the land area of SP-171 is respectively highly and moderately susceptible to landslide events. For the scenario of 500 mm, we found 58% and 40% to be highly and moderately susceptible areas. This study also allowed us to identify the main geotechnical problems along the 44 km of this road, and thus can be used to guide actions and decisions to avoid or minimize such problems.
基于降雨情景的滑坡易感性制图:以巴西圣保罗为例
从降雨数据中绘制物体运动敏感性图和现场特征是预防铁路和公路地质-岩土事故的重要方法。在巴西Sã圣保罗州的44公里SP-171公路沿线进行了一项全面的场地表征计划,以确定有群众运动的斜坡。在这段道路沿线发现了92个不同程度不稳定的斜坡,包括破裂疤痕、活跃侵蚀过程和不稳定岩块的存在。利用基于地理信息系统的技术,通过叠加地形、土壤类型、地质、累积降雨量和坡度的专题地图,定义了两种物质运动敏感性情景(累积降雨量为100 mm和500 mm)。两种情景的结果都确定了对人群运动具有高度和中等敏感性的区域;对于累积雨量为100毫米的情况;结果表明,SP-171滑坡高度易感性和中度易感性分别占27%和73%。在500毫米的情况下,我们发现58%和40%是高度和中度易感区域。这项研究还使我们能够确定这条道路44公里沿线的主要岩土工程问题,从而可以用来指导行动和决策,以避免或尽量减少这些问题。
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来源期刊
AIMS Geosciences
AIMS Geosciences GEOSCIENCES, MULTIDISCIPLINARY-
自引率
7.70%
发文量
31
审稿时长
8 weeks
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