Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/16379
Title: Application of dense offshore tsunami observations from Ocean Bottom Pressure Gauges (OBPGs) for tsunami research and early warnings
Authors: Heidarzadeh, M
Gusman, AR
Issue Date: 2018
Publisher: Springer Natural Hazards
Citation: Geological Disaster Monitoring Based on Sensor Networks, 2018, pp. 1 - 16 (16)
Abstract: We introduce a new data source of dense deep-ocean tsunami records 7 from Ocean Bottom Pressure Gauges (OBPGs) which are attached to Ocean Bottom 8 Seismometers (OBS) and apply them for far-field and near-field tsunami warnings. 9 Tsunami observations from OBPGs are new sources of deep-ocean tsunami 10 observations which, for the first time, provide dense tsunami data with spacing 11 intervals in the range of 10–50 km. Such dense data are of importance for tsunami 12 research and warnings and are capable of providing new insights into tsunami 13 characteristics. Here, we present a standard procedure for the processing of the 14 OBPG data and extraction of tsunami signals out of these high-frequency data. 15 Then, the procedure is applied to two tsunamis of 15 July 2009 Mw 7.8 Dusky 16 Sound (offshore New Zealand) and 28 October 2012 Mw 7.8 Haida Gwaii (offshore 17 Canada). We successfully extracted 30 and 57 OBPG data for the two aforesaid 18 tsunamis, respectively. Numerical modeling of tsunami was performed for both 19 tsunamis in order to compare the modeling results with observation and to use the 20 modeling results for the calibration of some of the OBPG data. We successfully 21 employed the OBPG data of the 2012 Haida Gwaii tsunami for tsunami forecast by 22 applying a data assimilation technique. Our results, including two case studies, 23 demonstrate the high potential of OBPG data for contribution to tsunami research 24 and warnings. The procedure developed in this study can be readily applied for the 2526 extraction of tsunami signals from OBPG data.
URI: http://bura.brunel.ac.uk/handle/2438/16379
DOI: http://dx.doi.org/10.1007/978-981-13-0992-2_2
ISSN: 2
2
http://dx.doi.org/10.1007/978-981-13-0992-2_2
Other Identifiers: 2
2
Appears in Collections:Dept of Mechanical Aerospace and Civil Engineering Research Papers

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