Big data managing in a landslide early warning system: experience from a ground-based interferometric radar application

Abstract

Abstract. A big challenge in terms or landslide risk mitigation is represented by increasing the resiliency of society exposed to the risk. Among the possible strategies with which to reach this goal, there is the implementation of early warning systems. This paper describes a procedure to improve early warning activities in areas affected by high landslide risk, such as those classified as critical infrastructures for their central role in society.This research is part of the project "LEWIS (Landslides Early Warning Integrated System): An Integrated System for Landslide Monitoring, Early Warning and Risk Mitigation along Lifelines".LEWIS is composed of a susceptibility assessment methodology providing information for single points and areal monitoring systems, a data transmission network and a data collecting and processing center (DCPC), where readings from all monitoring systems and mathematical models converge and which sets the basis for warning and intervention activities.The aim of this paper is to show how logistic issues linked to advanced monitoring techniques, such as big data transfer and storing, can be dealt with compatibly with an early warning system. Therefore, we focus on the interaction between an areal monitoring tool (a ground-based interferometric radar) and the DCPC. By converting complex data into ASCII strings and through appropriate data cropping and average, and by implementing an algorithm for line-of-sight correction, we managed to reduce the data daily output without compromising the capability for performing.

Spatiotemporal Evolution of a Landslide: A Transition to Explosive Percolation

“…At this juncture, it is instructive to consider an additional kinematic feature state space, a 1-dimensional velocity state space (VSS), that can be easily derived from the given displacement data. A motivation for this is that velocity is considered widely in forecasting the time of failure in landslide monitoring [ 18 ]. Note that in the B1–B2 samples, the constant time intervals means that the velocities and displacements of the grains are proportional.…”

“…This region intermittently developed large movements, but the instability was somehow arrested and movement slowed down the day before the collapse of the west wall. In this context, this region is sometimes referred to as a false alarm in the sense that it did not eventuate into a collapse [ 18 ]. The same phenomenon is observed in laboratory tests on real sand samples: competing localized failure patterns sporadically form (e.g., transient microbands and shear bands) just before failure but these later disappear to give way to the “winning” so-called persistent pattern of shear band(s) in the failure regime [ 1 , 2 , 9 , 28 , 31 , 32 ].…”

“…Filling this knowledge gap is crucial for developing effective diagnostic and forecasting tools for structural health monitoring (SHM) [ 4 , 8 , 10 ] and geohazard early warning systems (EWS) [ 12 , 13 , 16 , 17 ]. This research need has arguably become one of the most pressing issues in an era where remote sensing and imaging technologies are generating big data on motion and associated deformation continuously in real-time [ 10 , 18 ].…”

Big Data for Natural Disasters in an Urban Railroad Neighborhood: A Systematic Review

“…Regarding landslides, the survey by [26] showed how the logistic problems linked to advanced techniques of monitoring, such as the transfer and storage of BD, can be treated in a way that is compatible with an alert system from precocious landslides. The study focused on the interaction between an area monitoring tool (an interferometric radar on soil) and a data collecting and processing center (DCPC).…”

An Empirical Approach for Modeling Hysteresis Behavior of Pyroclastic Soils

“…Soil failures, in fact, could be caused not only by the groundwater table rising, but also by the loss in unsaturated shear strength due to the dissipation of matric suction in the unsaturated zones. Many physical-based shallow landslide models using the complete Richards equation and the extended Mohr-Coulomb failure criterion [9] valid for describing the shear strength of unsaturated soil were developed [10][11][12][13][14].…”