Evaluation of filtering methods for use on high-frequency measurements of landslide displacements

Displacement monitoring is a critical control for risks associated with potentially sudden slope failures. Instrument measurements are, however, obscured by the presence of scatter. Data filtering methods aim to reduce the scatter and therefore enhance the performance of early warning systems (EWSs)...

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Bibliographic Details
Published in:Natural hazards and earth system sciences 2022-02, Vol.22 (2), p.411-430
Main Authors: Sharifi, Sohrab, Hendry, Michael T, Macciotta, Renato, Evans, Trevor
Format: Article
Language:English
Subjects:
Adequacy
Algorithms
Analysis
Control equipment
Displacement
Early warning systems
Filtration
Frequency measurement
Global navigation satellite system
Lag time
Landslides
Landslides & mudslides
Measurement
Measuring instruments
Methods
Mitigation
Monitoring
Monitoring systems
Navigation
Navigation satellites
Navigation systems
Navigational satellites
Normal distribution
Performance evaluation
Remote sensing
Scattering
Standard deviation
System effectiveness
Trends
Warning systems
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Summary:Displacement monitoring is a critical control for risks associated with potentially sudden slope failures. Instrument measurements are, however, obscured by the presence of scatter. Data filtering methods aim to reduce the scatter and therefore enhance the performance of early warning systems (EWSs). The effectiveness of EWSs depends on the lag time between the onset of acceleration and its detection by the monitoring system such that a timely warning is issued for the implementation of consequence mitigation strategies. This paper evaluates the performance of three filtering methods (simple moving average, Gaussian-weighted moving average, and Savitzky–Golay) and considers their comparative advantages and disadvantages. The evaluation utilized six levels of randomly generated scatter on synthetic data, as well as high-frequency global navigation satellite system (GNSS) displacement measurements at the Ten-mile landslide in British Columbia, Canada. The simple moving average method exhibited significant disadvantages compared to the Gaussian-weighted moving average and Savitzky–Golay approaches. This paper presents a framework to evaluate the adequacy of different algorithms for minimizing monitoring data scatter.
ISSN:1684-9981
1561-8633
1684-9981
DOI:10.5194/nhess-22-411-2022