Local Volcano Infrasound Monitoring
Local Volcano Infrasound Monitoring
复制标题
当地火山次声监测
DOI:
--
复制
发表时间:
2018
期刊:
影响因子:
--
通讯作者:
Jeffrey B. Johnson
中科院分区:
文献类型:
--
作者:
Jeffrey B. Johnson
Infrasound monitoring is employed to enhance understanding of eruption dynamics and to track eruptive activity over time. Local infrasound, where sensors are positioned near to and/or on the flanks of volcanoes, implies that sound transmission from vent to receiver is approximately line-of-sight. Typical assumptions are that pressure decays as the inverse of distance and that attenuation and dispersion effects are minimal. Locally recorded signals thus represent relatively undistorted source time motions and can be used to effectively characterize volcanic activity. Local monitoring can entail a spectrum of installation topologies including single isolated sensors on a volcano, networks of sensors, a single array, or networks of sensor arrays. Stations may be installed as standalone or in telemetered configurations depending upon available resources and research objectives, which may range from simple explosion counting to degassing detection, mapping of vents, or identification of moving sources. Some of these objectives are only possible using arrays. Quantifying volcano infrasound, in terms of both spectral shape, power, and signal envelope, is relatively straightforward using data recorded at local distances. Despite inter-network variability, influenced by potential source directivity, propagation effects, and/or site response, the local infrasound records permit good estimation of total acoustic energy, identification of dominant spectral tones, and signal morphology. These parameters may be robustly compared at a volcano over time and/or compared to other volcanoes. Ultimately, infrasound analysis permits remote surveillance of activity occurring at the vent (or on the slopes) of a volcano that may otherwise be difficult to observe.
影响因子:
5.3
作者:
Dabrowa, A. L.;Green, D. N.;Phillips, J. C.
通讯作者:
Phillips, J. C.
DOI:
10.1016/j.jvolgeores.2014.10.001
发表时间:
2014-11
影响因子:
2.9
作者:
A. Dabrowa;D. N. Green;Jeffrey B. Johnson;J. Phillips;A. Rust
通讯作者:
A. Dabrowa;D. N. Green;Jeffrey B. Johnson;J. Phillips;A. Rust