Using an infrasonic method to monitor the destruction of glaciers in Arctic conditions

Асминг, В. Э.; Baranov, Sergey; Vinogradov, A. N.; Vinogradov, Yu. A.; Fedorov, A. V.

doi:10.1134/s1063771016040035

Cited by 12 publications

(5 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Murayama et al [14] monitored ice shocks through an infrasound array deployed in the bay of eastern Antarctica and found that ice shocks produce special infrasound signals, and ice avalanches are one of the causes of ice shocks and special infrasound. Asming et al [15] also carried out infrasound monitoring of glaciers in the Arctic and Svalbard, which once again proved that infrasound can be used to monitor glacier damage. Mayer et al [16] also monitor ice avalanche activity through different infrasound detection systems installed in the Swiss Alps.…”

Section: Introductionmentioning

confidence: 93%

Research on the Response Characteristics and Identification of Infrasound Signals in the Jialongcuo Ice Avalanche, Tibet

Zhang,

Chen,

et al. 2023

Remote Sensing

View full text Add to dashboard Cite

Due to the inability of remote sensing satellites to monitor avalanches in real time, this study focuses on the glaciers in the rear edge of Jialongcuo, Tibet, and uses infrasound sensors to conduct real-time monitoring of ice avalanches. The following conclusions are drawn: (1) In terms of waveform, compared to background noise, ice avalanche events have a slight left deviation and a slightly steep shape; compared to wind, rain, and floods events, ice avalanche events have less obvious kurtosis and skewness. (2) In terms of frequency distribution, the infrasound frequency generated by ice avalanche events is mainly distributed in the range of 1.5 Hz to 9.5 Hz; compared to other events, ice avalanche events differ some in frequency characteristics. (3) The model based on information entropy and marginal spectral frequency distribution characteristics of infrasound have higher accuracy in signal classification and recognition, as they can better represent the differences between infrasound signals of different events than other features. (4) Compared with the K-nearest neighbor algorithm and classification tree algorithm, the support vector machine and BP (Back Propagation) neural network algorithm are more suitable for identifying infrasound signals in the Jialongcuo ice avalanche. The research results can provide theoretical support for the application of infrasound-based ice avalanche monitoring technology.

show abstract

Section: Introductionmentioning

confidence: 93%

Research on the Response Characteristics and Identification of Infrasound Signals in the Jialongcuo Ice Avalanche, Tibet

Zhang,

Chen,

et al. 2023

Remote Sensing

View full text Add to dashboard Cite

show abstract

“…Infrasound also presents opportunities for monitoring environmental phenomena related to climate change. Glacier destruction, for example, has been shown to produce infrasonic emissions (Asming et al 2016). It is also plausible that atmospheric infrasound can be used to monitor largescale cracking events and collisions in ice floes, as is done with underwater sound (Farmer and Xie 1989).…”

Section: Wide-angle Parabolic Equationmentioning

confidence: 99%

Infrasound propagation in the Arctic

Wilson¹,

Ostashev²,

Shaw³

et al. 2021

View full text Add to dashboard Cite

This report summarizes results of the basic research project “Infrasound Propagation in the Arctic.” The scientific objective of this project was to provide a baseline understanding of the characteristic horizontal propagation distances, frequency dependencies, and conditions leading to enhanced propagation of infrasound in the Arctic region. The approach emphasized theory and numerical modeling as an initial step toward improving understanding of the basic phenomenology, and thus lay the foundation for productive experiments in the future. The modeling approach combined mesoscale numerical weather forecasts from the Polar Weather Research and Forecasting model with advanced acoustic propagation calculations. The project produced significant advances with regard to parabolic equation modeling of sound propagation in a windy atmosphere. For the polar low, interesting interactions with the stratosphere were found, which could possibly be used to provide early warning of strong stratospheric warming events (i.e., the polar vortex). The katabatic wind resulted in a very strong low-level duct, which, when combined with a highly reflective icy ground surface, leads to efficient long-distance propagation. This information is useful in devising strategies for positioning sensors to monitor environmental phenomena and human activities.

show abstract

“…The use of active sources, moreover, invariably faces geo-environmental concerns regarding protected marine fauna [7]. The development of offshore fields, in addition to the direct threat to the environment, does not exclude the possibility of provoking natural and man-made disasters [8,9]. The latter can be caused by various endogenous processes, including those associated with the natural evolution of gas hydrate accumulations [10].…”

Section: Introductionmentioning

confidence: 99%

Arctic-Type Seismoacoustic Waveguide: Theoretical Foundations and Experimental Results

Sobisevich,

Presnov,

Shurup

2024

JMSE

View full text Add to dashboard Cite

The results of theoretical analysis and practical implementation of seismoacoustic methods developed for monitoring ice-covered regions in the Arctic are presented and discussed. Special attention is paid to passive seismoacoustic tomography as a unique method of studying the deep structure of the lithosphere and hydrosphere without the use of powerful sources. One of the distinctive features of the considered approach is the use of receivers located on the ice surface to recover characteristics of Arctic-type seismoacoustic waveguide “lithosphere-hydrosphere-ice cover”. In passive monitoring, special attention is paid to reducing the noise signal accumulation time required to obtain seismoacoustic wave propagation times, as well as expanding the analyzed frequency bandwidth. The presented results can be used to develop technologies for seasonal and long-term monitoring of the currently observed variability of large areas of the Arctic region due to climatic changes.

show abstract

Using an infrasonic method to monitor the destruction of glaciers in Arctic conditions

Cited by 12 publications

References 17 publications

Research on the Response Characteristics and Identification of Infrasound Signals in the Jialongcuo Ice Avalanche, Tibet

Research on the Response Characteristics and Identification of Infrasound Signals in the Jialongcuo Ice Avalanche, Tibet

Infrasound propagation in the Arctic

Arctic-Type Seismoacoustic Waveguide: Theoretical Foundations and Experimental Results

Contact Info

Product

Resources

About