CrossRef Open Access 2022 5 sitasi

A community-operated landslide early warning approach: Myanmar case study

Neil Dixon Alister Smith Matthew Pietz

Abstrak

AbstractA landslide early warning system based on monitoring acoustic emission (AE) generated by slope movements has been developed that can deliver alerts direct to a community at risk, with relevance to low- and middle-income countries. The Community Slope SAFE (Sensors for Acoustic Failure Early-warning) (CSS) approach uses steel waveguides driven into the slope to transmit detected high frequency noise (AE) to a sensor at the ground surface. CSS gives a measure of slope displacement rate. Continuously measured AE is compared to a pre-defined trigger level that is indicative of decreasing slope stability (i.e., landslide initiation), and a visual and audible alert automatically generated so that a community can follow a pre-defined course of action (e.g., evacuation). This paper describes the CSS approach and details a field trial of the system at two sites in Hakha, Chin Sate, Myanmar. The trial, which included training a group of youth Landslide Response Volunteers to install and operate the CSS system, increased landslide awareness and knowledge in the Hakha community, delivered the required real-time continuous operation, and demonstrated the practicality of using the CSS system for community landslide protection.

Penulis (3)

N

Neil Dixon

A

Alister Smith

M

Matthew Pietz

Format Sitasi

Dixon, N., Smith, A., Pietz, M. (2022). A community-operated landslide early warning approach: Myanmar case study. https://doi.org/10.1186/s40677-022-00220-7

Akses Cepat

Lihat di Sumber doi.org/10.1186/s40677-022-00220-7
Informasi Jurnal
Tahun Terbit
2022
Bahasa
en
Total Sitasi
Sumber Database
CrossRef
DOI
10.1186/s40677-022-00220-7
Akses
Open Access ✓