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hydro-acoustic signal and tsunami wave generated by sea floor motion

This project focuses on modeling hydro-acoustic signals and tsunami waves generated by sea floor motion, aiming to establish an early warning system for tsunamis in the Gulf of Cadiz. The research includes the development of innovative tsunameter devices and detection algorithms for real-time monitoring. Various sea floor motions are used to simulate a wide range of tsunami scenarios. The system analyses pressure data and seismic events to detect anomalies indicative of tsunami waves. Data processing involves filtering, prediction algorithms, and spike removal to enhance the accuracy of tsunami detection.

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hydro-acoustic signal and tsunami wave generated by sea floor motion

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  1. hydro-acoustic signal and tsunami wave generated by sea floor motion Chierici, F., L. Pignagnoli, and D. Embriaco, (2009), Modelling of the hydro-acoustic signal and tsunami wave generated by sea floor motion including a porous seabed, J. Geophys.Res., doi:10.1029/2009JC005522, in press.

  2. NEAREST(coordinator: dr. Zitellini, ISMAR – CNR) Integrated observation from NEAR shore sourcES of Tsunamis: toward an early warning system EC Project (FP6, 2006-2009) http://nearest.bo.ismar.cnr.it ISMAR-CNR, Italy University of Lisbon, Portugal Consejo Superior de Investigaciones Cientificas, Spain Alfred Wegener Institut, Germany University of West Bretagne, France INGV, Italy Technische Fachhochschule-Berlin, Germany Istituto Andaluz de Geofisica, Spain Istituto de Meteorologia, Portugal Centre National pour la Recherche Scientif. etTechn., Morocco XISTOS Development S.A., France

  3. Main objectives • AREA of interest: Gulf of Cadiz (Atlantic Ocean), source of 1755 Tsunami which destroyed Lisbon and the coasts of South Portugal, Spain and Morocco. • Near field and near shore tsunami generation problem: the abyssal observatory GEOSTAR is located in an active seismic zone. • Tsunami warning system: real time pressure data analysis is performed on the seafloor and a two way communication link with the on-shore network was setup. • Quick response time: only few minutes for a generated tsunami to reach the nearest coast. Portugal Spain GEOSTAR

  4. Outline 1) A innovative Tsunameter have been developed in the Framework of NEAREST project (it will be installed on board SN1 abyssal station. A new software for the remote control of the tsunameter and of SN1 abyssal station has been designed and implemented). 2) A new model and relative results of tsunami generation in compressible water column overlying a porous sea bed (extended)

  5. A new tsunami detector prototype, able to operate in generation areas , has been developed and operated successfully for 1 year at 3200 m depth

  6. Tsunameter scheme (installed onboard Geostar)

  7. Tsunami Detection Procedure • Trigger on Pressure and Seismic events • Seismometer: trigger on strong seismic event (STA/LTA) • Pressure: for the detection of sea level anomalies (Tsunamis wave); TDA declares the event on processed sea level data testing them against a prescribed threshold

  8. A new real-time tsunami detection algorithm , based on localization concept (de-tide and filtering) has been developed and operated successfully from september 2007 to august 2008 in the Gulf of Cadiz

  9. Noisy data: d165_2001-ed.dat ~2m. 3.B Low Pass like Filtering ~2cm. 2.(A & B) Spikes Removing (zoom) 4.B difference between Newton Linear Predicted and Filtered Signal ~4cm. Pressure Sensor Accelerometer Correction for pressure sensor motion 3.A Band Pass like Filtering • 1.(A & B) Tides Removal Algorithm A (A & B) TSUNAMI DETECTED ! ~10cm. Algorithm B

  10. New real-time Tsunami Detection Algorithm (site adaptivity, high reliability and accuracy, low computational cost) Pressure data acquired every 15 s. (Paroscientific 8CB4000) Real time Algorithm Tide removal Spike removal Low pass + Prediction algorithm (Newton linear predictor) or Band Pass like filter All parameters can be reconfigured Tsunami 200cm 100 hours 2cm 2 hours Pressure Raw data Processeddata

  11. EXAMPLE OF GEOSTAR DATA FILE

  12. Example of pressure signal recorded during Aug 2007 – Aug 2008NEAREST mission (1cm H2O ~ 1mBar) 2 days 40 cm 3 m 2 cm 2 h 1 month

  13. A new tsunami generation model has been developed that use the water compressibility coupled with porous sediment

  14. MODEL FOR TUSNAMI GENERATION 1) 2-D model of tsunami generation in compressible water column overlying a porous sea bed 2) Results, in particular concerning the acoustic wave induced within the water column by the sea floor motion 3) Application to Real Case: Tokachi-Oki 2003 Event

  15. 1. MODEL 2-D Vertical X-Z frame of reference z x h WATER COLUMN hs POROUS SEDIMENT

  16. Assumptions 1) Small Amplitude waves: the wave amplitude x is negligible with respect to the wavelength. x/h << 1. Kinetic Energy << Potential Energy 2) No Sea Water Viscosity => (Potential Flow)

  17. in WATER COLUMN we use Navier-Stokes equations for a compressible fluid intoSEDIMENT we use Darcy equations for porous medium

  18. EQUATIONS OF MOTION: Sea Water Column: Mass Conservation Linearized Bernoulli equation c is the sound speed

  19. BOUNDARY CONDITIONS: Free Surface (z = 0): Linearised Bernoulli equation Kinematic condition

  20. BOUNDARY CONDITIONS: Sea Water – Sediment Bed interface (z = -h): Stress Continuity Vertical velocity continuity

  21. BOUNDARY CONDITIONS: SedimentBottom : Non-permeability condition η(t) is the sea floor displacement (η/ h << 1) We use and combine different kind of sea floor motions: duration, phase, amplitude and different motion are employed together in order to obtain a wide typology of sea floor motion.

  22. Basic Sea Floor Motions (each motion can be either negative or positive polarized and due to linearity they can be composed with different periods, amplitudes and phases): Time Space Permanent Displacement + Positive Elastic Motion (no permanent displacement) + Elastic Oscillation (no permanent displacement)

  23. The sea floor elastic motion can be obtained combining permanent displacement with time-shift operator + The pressure field at fixed depth can be easily related to the free surface solution (transfer function) + The solution, corresponding to the elastic motion can be easily related to the one obtained for the permanent displacement. Hence it is sufficient to solve the problem for the free surface and permanent displacement only

  24. Semi-Analytical Solution by transforming x spatial variable with Fourier and t time variable with Laplace

  25. where with k wave number and ω angular velocity A(ω, k), B(ω, k), C(ω, k) and D(ω, k) are the functions obtained imposing the boundary conditions. For example B is given by the following espression and

  26. Model of Sea Floor Permanent Displacement Fourier (x => K) + Laplace (t => ω) τ: time duration of the sea floor motion η0: amplitude of the sea floor motion a: half-length of the source area

  27. Transfer function (in the Fourier – Laplace space): Pressure at depth z Free Surface (z = 0)

  28. 2. RESULTS • The solved model allows us to study: • Thepressure and velocity fields (in the water column and in the porous sediment) • The free surface signal(from the velocity vertical component at the air-water interface) • at different distances from the source.

  29. In this model, the sea floor motion causes a modulated hydro acoustic wave

  30. Free surface plot at 100km (a), 200km(b), 300km (c) and 1000km (d) distance from the source. η0 = 1m. a = 60 km. τ= 25 sec. h = 3 km. hs = 1.5 km. n = 0.3 kp = 10-6 cm2

  31. Hydro-acoustic signal with its modulation

  32. We found that this wave, travelling much faster than tsunami wave, can propagate far outside the source area and carries information about source main parameters as velocity, amplitude and extension of the source area

  33. Free surface plot at 300 km. from the source for different source length: 30km (a), 60km(b), 90km (c) η0 = 1m. τ= 25 sec. h = 1.5 km. hs = 0.75 km. n = 0.3 kp = 10-6 cm2

  34. Free surface plot at 300 km. from the source for different source velocity: 1 m/s (a), 0.2 m/s (b), 0.1 m/s (c) η0 = 1m. h = 1.5 km. hs = 0.75 km. n = 0.3 kp = 10-6 cm2

  35. “INTERFERING” CASE: Free surface plot for different source time duration: 4 s (a), 8 s (b), 12 s (c) , 16 s (d) τ= n (4h/c) n = 1,2,… η0 = 1m. h = 1.5 km. hs = 0.75 km. n = 0.3 kp = 10-6 cm2

  36. INTERFERING CASE: Comparison ofModulation Pulse Slope

  37. Within the frame of a compressible model the energy transmitted to the water layer by bottom motion is: In a 2-D Model we can rewrite: The mean slope is effectively an indicator of the energy released by the bottom motion into the water layer

  38. In other word this modulated acoustic signal can be regarded as tsunami precursor and it could be used in new tsunami early warning systems!

  39. Non seismictsunamigenicsubmarine landslide could also produce hydro acoustic waves

  40. CONSIDERATIONS 1) The source information carried by the acoustic wave is present in the very first pulses. 2) In this sense the modulated acoustic waves act like a Tsunami precursor !!! and could be used for Tsunami Early Warning purpose 3) The porous sediment acts as low pass filter 4) Darcy equation does not consider compressibility in the sediment

  41. Two layer model To consider the effect of sediment compressibility the porous sediment is treated as fluid-like, homogeneous and isotropic medium. The sediment effective viscosity, take into accountinter-granular friction within the sediment itself.(Buckingham 1998)

  42. Motion Equations: Sea Water Column: Sediment (Viscousfluid): With the same boundary conditions

  43. 2003 Tokachi-Oki event

  44. Nosov 2007 3-D rigid bottom model MISMATCH between measurement and model results !

  45. Two layer model vs Darcy sediment Model

  46. CONCLUSIONS 1) Main effects of the porous layer: a) low-pass filtering of the signals and b) attenuation of the signal: 2) The compressible porous sediment changes the power spectrum distribution of the hydro-acoustic wave. 3) The acoustic signal generated by the sea-floor motion, reaches the observation points much earlier than the possible tsunami wave.

  47. CONCLUSIONS 4) The acoustic signal carries information as to sea floor motion 5) These information can be extracted from the signal just from the very first pulses arrival. 6) Interference does not erase the source motion information contained in the acoustic signal 7) The acoustic signal shows a low attenuation in amplitude also at long distance from the source.

  48. If detected these hydro-acoustic waves can lead to the design of a new tsunami early warning system based on tsunami precursors

  49. OνDE hydro-acoustic antennas equipped with suitable low frequency hydrophones might be a good candidate for the detector and for the basic element of a possible hydro-acoustic tsunami early warning system

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