Hydroacoustic noise precursors of the 1990 eruption of Kelut Volcano, Indonesia

Vandemeulebrouck, Jean; Sabroux, J. C.; Halbwachs, Michel; Surono,; Poussielgue, N.; Grangeon, Jacques; Tabbagh, Jeanne

doi:10.1016/s0377-0273(99)00176-6

Cited by 38 publications

(35 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Although every heating phase was accompanied by tremor emission [ Dibble , 1974; Sherburn et al , 1999], volcano‐tectonic earthquakes were not usually observed. The heating phases are thus not the result of hydrofracturing at depth, as observed in Poas [ Rowe et al , 1992] and in Kelut crater lakes [ Lesage and Surono , 1995; Vandemeulebrouck et al , 2000] but appear to be a change of flow regime in an open hydrothermal system. Tremor observed on Ruapehu generally had one or two sharp frequency peaks, and a normal dominant frequency between 1.8 and 2.3 Hz with very little second harmonic energy [ Hurst and Sherburn , 1993].…”

Section: Application To the Ruapehu Crater Lake New Zealandmentioning

confidence: 95%

Analogue modeling of instabilities in crater lake hydrothermal systems

et al. 2005

View full text Add to dashboard Cite

[1] We carried out analogue experiments on two-phase boiling systems, using a porous vertical cylinder, saturated with water. The base of the cylinder was heated, and the top was cooled, as in a natural hydrothermal system. Previous work had shown that once the two-phase zone reached a certain level, thermal instabilities would develop. We made measurements of the acoustic energy related to boiling, and we found that high levels of acoustic noise were associated with the part of the cycle in which there was upward water movement. We repeated our experiments with a cooling water tank at the top of the system, representing a crater lake. This showed that periodic thermal instabilities still developed in this situation. We then compared our analogue measurements to two natural systems known to exhibit periodic behavior. There is good agreement between the thermal and acoustic cycling seen in our model and the observations made at Inferno Crater Lake in the Waimangu Geothermal area, New Zealand, whose level cycles by nearly 10 m, with a typical period of 38 days. Particularly notable is how in both systems high levels of acoustic noise are associated with rising water level. The much larger Ruapehu Crater Lake, also in New Zealand, cycled with a period of several months to a year for over a decade prior to the 1995 eruption. Strong acoustic and seismic energy usually occurred just before the lake temperature started to rise. This suggests a slightly different model, in which the increasing two-phase flow zone triggers more general convection once it reaches the base of the lake.

show abstract

Section: Application To the Ruapehu Crater Lake New Zealandmentioning

confidence: 95%

Analogue modeling of instabilities in crater lake hydrothermal systems

et al. 2005

View full text Add to dashboard Cite

show abstract

“…Assuming that the resonator at the source can be represented by a fluid-filled crack (Chouet, 1986(Chouet, , 1992, the low value of the quality factor suggests that the fluid may be bubbly water (Kumagai and Chouet, 2000), which is consistent with the presence of a large hydrothermal system, including a lake, in the crater (Lesage and Surono, 1995;Vandemeulebrouck et al, 2000).…”

Section: Examplesmentioning

confidence: 79%

Automatic estimation of optimal autoregressive filters for the analysis of volcanic seismic activity

Lesage

2008

Nat. Hazards Earth Syst. Sci.

View full text Add to dashboard Cite

Abstract. Long-period (LP) events observed on volcanoes provide important information for volcano monitoring and for studying the physical processes in magmatic and hydrothermal systems. Of all the methods used to analyse this kind of seismicity, autoregressive (AR) modelling is particularly valuable, as it produces precise estimations of the frequencies and quality factors of the spectral peaks that are generated by resonance effects at seismic sources and, via deconvolution of the observed record, it allows the excitation function of the resonator to be determined. However, with AR modelling methods it is difficult to determine the order of the AR filter that will yield the best model of the signal. This note presents an algorithm to overcome this problem, together with some examples of applications. The approach described uses the kurtosis (fourth order cumulant) of the deconvolved signal to provide an objective criterion for selecting the filter order. This approach allows the partial automation of the AR analysis and thus provides interesting possibilities for improving volcano monitoring methods.

show abstract

“…The summit lava domes were all extruded around this 1-km-wide crater whose rim reaches an elevation of 1200 m (Pratomo, 1992). A lake has occupied the crater (volume of water about 20-40 millions of m 3 ) and has often significantly influenced the eruptive styles (Lesage and Surono, 1995;Bourdier et al, 1997a,b;Thouret et al, 1998;Vandemeulebrouck et al, 2000).…”

Section: Kelut Volcano Geology and Historical Eruptionsmentioning

confidence: 99%