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Application of Early Warning System for Monitoring Landslide Vulnerability of Slope
https://orcid.org/http://orcid.org/0000-0002-0700-0092
https://orcid.org/http://orcid.org/0000-0003-0357-2306
There are many methods to mitigate rainfall-triggered landslide hazards. Among the available methods, the Landslide Early Warning System (LEWS) is one of the soft-type methods. A low-cost LEWS based on the Internet of Things (IoT) was developed and tested on laboratory model tests. To verify its effectiveness the LEWS is deployed in the field. The moisture and acceleration sensors were used to collect the raw data on moisture content and tilt angle. Both types of sensors were embedded in the monitoring holes within the slope at different depths. A rain gauge was also installed to support the rainfall data obtained from the Japan Meteorological Agency (JMA). The result shows that the deployed system is able to effectively measure the moisture contents and soil deflection angles.
Application of Early Warning System for Monitoring Landslide Vulnerability of Slope
https://orcid.org/http://orcid.org/0000-0002-0700-0092
https://orcid.org/http://orcid.org/0000-0003-0357-2306
There are many methods to mitigate rainfall-triggered landslide hazards. Among the available methods, the Landslide Early Warning System (LEWS) is one of the soft-type methods. A low-cost LEWS based on the Internet of Things (IoT) was developed and tested on laboratory model tests. To verify its effectiveness the LEWS is deployed in the field. The moisture and acceleration sensors were used to collect the raw data on moisture content and tilt angle. Both types of sensors were embedded in the monitoring holes within the slope at different depths. A rain gauge was also installed to support the rainfall data obtained from the Japan Meteorological Agency (JMA). The result shows that the deployed system is able to effectively measure the moisture contents and soil deflection angles.
Application of Early Warning System for Monitoring Landslide Vulnerability of Slope
https://orcid.org/http://orcid.org/0000-0002-0700-0092
https://orcid.org/http://orcid.org/0000-0003-0357-2306
There are many methods to mitigate rainfall-triggered landslide hazards. Among the available methods, the Landslide Early Warning System (LEWS) is one of the soft-type methods. A low-cost LEWS based on the Internet of Things (IoT) was developed and tested on laboratory model tests. To verify its effectiveness the LEWS is deployed in the field. The moisture and acceleration sensors were used to collect the raw data on moisture content and tilt angle. Both types of sensors were embedded in the monitoring holes within the slope at different depths. A rain gauge was also installed to support the rainfall data obtained from the Japan Meteorological Agency (JMA). The result shows that the deployed system is able to effectively measure the moisture contents and soil deflection angles.
Application of Early Warning System for Monitoring Landslide Vulnerability of Slope
Lecture Notes in Civil Engineering
Ha-Minh, Cuong (editor) / Pham, Cao Hung (editor) / Vu, Hanh T. H. (editor) / Huynh, Dat Vu Khoa (editor) / Hidayat, Muhammad N. (author) / Hazarika, Hemanta (author) / Murai, Masanori (author) / Kanaya, Haruichi (author)
International Conference series on Geotechnics, Civil Engineering and Structures ; 2024 ; Ho Chi Minh City, Vietnam
2024-06-01
9 pages
Article/Chapter (Book)
Electronic Resource
English
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