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Use of sensor nodes for soil variables monitoring and landslides early detection

Grant number: 18/15869-6
Support type:Scholarships in Brazil - Master
Effective date (Start): November 01, 2018
Effective date (End): September 30, 2020
Field of knowledge:Physical Sciences and Mathematics - Geosciences - Geology
Principal researcher:Ana Elisa Silva de Abreu
Grantee:Malena D'Elia Otero
Home Institution: Instituto de Geociências (IG). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
Associated research grant:17/50343-2 - Institutional development plan in the area of digital transformation: advanced manufacturing and smart and sustainable cities (PDIp), AP.PDIP
Associated scholarship(s):19/16458-2 - Using particle image velocimetry to monitor soil behavior during landslides in flume experiments, BE.EP.MS

Abstract

Landslide disasters have become increasingly frequent due to the urban spread of cities in areas prone to the occurrence of this type of geological hazard. Early Warning Systems (EWS) are a non-structural measure for disaster prevention: their main objective is to alert the population with enough time to take actions to prevent losses and damages. The use of sensor nodes, through the implementation of Wireless Sensor Networks (WSN), for monitoring of environmental disasters is gradually increasing and showing promising results. The main advantages of using sensor nodes are: real-time monitoring, high resolution, low cost and high data processing and storage capacities. The use of these sensors can provide information about the potential triggers of landslides, such as soil saturation and humidity, and signs that precede and characterize the movement (displacement and acceleration). This research intends to test in laboratory conditions the capacity of low cost sensors - accelerometers and humidity sensors FDR - to identify signals that may foresee the occurrence of landslides. Therefore, an experimental box adapted for sliding simulation will be used. It will be filled with a soil in which the sensors will be embedded. Tests will be conducted in different conditions of soil stiffness and humidity, to study the soil behavior in each condition and the response obtained with the sensors in each case. The results of the research will contribute to increase the knowledge of the use of such sensors for monitoring slopes and verify their applicability on defining alert levels and thresholds in areas of geological risk due to landslides. (AU)

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Academic Publications
(References retrieved automatically from State of São Paulo Research Institutions)
OTERO, Malena D'Elia. Use of inertial sensors for monitoring prone to landslides soil slopes. 2020. 104 f. Master's Dissertation - Universidade Estadual de Campinas (UNICAMP). Instituto de Geociências.

Please report errors in scientific publications list by writing to: cdi@fapesp.br.