A landslide early warning system within an integral risk management strategy for the Combeima-Tolima Region, Colombia

Huggel, Christian; Ramı́rez, Juan M.; Calvache, Marta F.; González, Humberto; Gutiérrez, Claudio Avalos; Krebs, Robert Dixon

doi:10.5167/uzh-5448

2008

DOI: 10.5167/uzh-5448

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A landslide early warning system within an integral risk management strategy for the Combeima-Tolima Region, Colombia

Christian Huggel¹,

Juan M. Ramı́rez²,

Marta F. Calvache³

et al.

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2021

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Internet of Things Geosensor Network for Cost-Effective Landslide Early Warning Systems

Gamperl

Singer

Thuro

2021

Sensors

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Worldwide, cities with mountainous areas struggle with an increasing landslide risk as a consequence of global warming and population growth, especially in low-income informal settlements. Landslide Early Warning Systems (LEWS) are an effective measure to quickly reduce these risks until long-term risk mitigation measures can be realized. To date however, LEWS have only rarely been implemented in informal settlements due to their high costs and complex operation. Based on modern Internet of Things (IoT) technologies such as micro-electro-mechanical systems (MEMS) sensors and the LoRa (Long Range) communication protocol, the Inform@Risk research project is developing a cost-effective geosensor network specifically designed for use in a LEWS for informal settlements. It is currently being implemented in an informal settlement in the outskirts of Medellin, Colombia for the first time. The system, whose hardware and firmware is open source and can be replicated freely, consists of versatile LoRa sensor nodes which have a set of MEMS sensors (e.g., tilt sensor) on board and can be connected to various different sensors including a newly developed low cost subsurface sensor probe for the detection of ground movements and groundwater level measurements. Complemented with further innovative measurement systems such as the Continuous Shear Monitor (CSM) and a flexible data management and analysis system, the newly developed LEWS offers a good benefit-cost ratio and in the future can hopefully find application in other parts of the world.

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Internet of Things Geosensor Network for Cost-Effective Landslide Early Warning Systems

Gamperl

Singer

Thuro

2021

Sensors

View full text Add to dashboard Cite

show abstract

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A landslide early warning system within an integral risk management strategy for the Combeima-Tolima Region, Colombia

Cited by 1 publication

References 4 publications

Internet of Things Geosensor Network for Cost-Effective Landslide Early Warning Systems

Internet of Things Geosensor Network for Cost-Effective Landslide Early Warning Systems

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