Shalstab mathematical model and WorldView-2 satellite images to identification of landslide-susceptible areas

Abstract

Natural hazards, occurring all over the world, may become a disaster when humans and nature interact. In Brazil, landslides triggered by heavy rainfall are the most common phenomenon that affects the population. Due to the economic and social losses and deaths, the identification and monitoring of risk areas are extremely important. Therefore, this study aims to identify the landslide-susceptible areas in Vila Albertina and Britador neighborhood, located in Campos do Jordão city in São Paulo state, Brazil. Using the Shalstab mathematical model, which analyzes the slope stability, and satellite images from World-View-2 sensor with data mining techniques, it was identified the most susceptible areas for this phenomenon and the main characteristics of human occupation that might induce landslides. To achieve this goal, three scenarios were simulated for each neighborhood, changing the values of the geotechnical parameters, used as input on Shalstab. The results of susceptibility areas were consistent with the reality observed in these neighborhoods and the landslide scars corroborate with the assumption that anthropic changes induce landslides. The satellite image allowed the identification of different types of human interaction and its changes in steep slope areas.

Rainfall-intensity effect on landslide hazard assessment due to climate change in north-western Colombian Andes

“…Soils with high permeabilities usually show a shallow surface due to a waterfront or a perched water table, while soils with low permeability generate deep landslides by increasing the groundwater table level [82]. In general, deep landslides respond to antecedent rainfall and not to intense rainfalls as a result of increased water table level that can occur weeks or months after the rainfall events [100]. Studies find that the difference in the number of preceding rain days depends on the depth of the failure surface, where landslides triggered by high daily precipitation are shallow with depths less than 2 m [101].…”

Future scenarios (2021-2050) of extreme precipitation events that trigger landslides – a case study of the Paraitinga River watershed, SP, Brazil

“…The results also point out that the current Civil Defense and CEMADEN alert systems would be suitable for alerting to the events that occurred in the early 2000s, but that the combination of previous precipitation and pipe leakage left the soil close to moisture saturation at the beginning of the rainy season, thus triggering landslides. König et al (2019) developed a study in the city of Campos do Jordão/SP analyzing the occurrence of landslides caused by anthropic modification of the relief, using the Shalstab mathematical model and WorldView-2 high resolution satellite scenes. The geotechnical parameters loaded into the Shalstab model identified the land stability classes along an urban slope in a promising way, similar to those in existing risk maps.…”

Human Body Movement Coupling Model in Physical Education Class in the Educational Mathematical Equation of Reasonable Exercise Course

“…From this model, the longitudinal structural force of the foot can be calculated [3]. For the soles of the same size, the lower the arch (flat feet), the greater the angle between α 1 and α 2 .…”