UTILIZING RAPID WATER DISPLACEMENT DETECTION SYSTEMS AND SATELLITE IMAGERY DATA TO PREDICT TSUNAMIS

• US 20080021657A1
• Filed: 07/21/2006
• Published: 01/24/2008
• Est. Priority Date: 07/21/2006
• Status: Abandoned Application

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: KATZ, NEIL A., Barkal, Judy L.
• Application Number:
  US11/459,262
• Publication Number:
  US 20080021657A1
• Time in Patent Office: Days
• US Class Current: 702/14
• CPC Class Codes: G01V 1/008 Earthquake measurement or prediction event detection for microseismic events G01V1/288
• CPC Class Codes: G01V 1/01 Measuring or predicting earthquakes

Abstract

One aspect of the present invention can include a method for detecting tsunamis that can include a step of detecting a location of a rapid water displacement event occurring in an ocean, such as an underground Earthquake. Images can be captured proximate to the event utilizing a satellite. The captured images can be analyzed to detect and/or track a tsunami.

Claims

1. A method for detecting tsunamis comprising:

detecting a location of a rapid water displacement event occurring in an ocean;

capturing images proximate to the event utilizing a satellite; and

analyzing the captured images to detect a tsunami.

2. The method of claim 1, wherein the detecting step utilizes a seismometer.

3. The method of claim 1, wherein the rapid water displacement event is an underwater Earthquake, and wherein the detecting step utilizes ionosphere disturbances to detect the Earthquake.

4. The method of claim 3, wherein the detection of the ionosphere disturbances occurs before the Earthquake, said method further comprising:

positioning the satellite over a location of the Earthquake before the water displacement event occurs for purposes of capturing images of the event that are analyzed in the analyzing step.

5. The method of claim 1, further comprising:

combining results from the analyzing step with data from at least one tsunameter to increase at least one of a tsunami detection accuracy, a tsunami detection precision, and a warning time for the tsunami.

6. The method of claim 1, further comprising:

combining data from at least one additional source to increase tsunami detection accuracy, wherein said at least one additional source comprises at least one source consisting of eye-witness sighting reports, reports of animal behavioral changes, reports of plant behavioral changes, and reports of atmospheric changes.

7. The method of claim 1, wherein the analyzing step comprises:

ascertaining wave height, wave speed, wave period, and wave direction for the tsunami using the captured images.

8. The method of claim 7, further comprising:

predicting a location and a time that the tsunami will impact a fixed geographical location based on the wave height, wave speed, wave period, and wave direction.

9. The method of claim 8, said predicting step further comprising:

matching topological maps of coastal regions against computer processed tsunami data to predict the location and the time that the tsunami will impact the fixed geographical location.

10. The method of claim 7, further comprising:

continuously tracking movement of the tsunami using time spaced images from at least one satellite.

11. The method of claim 7, further comprising:

predicting tsunami behavior based upon the analyzed images; and

posting a tsunami threat warning based upon the predicted tsunami behavior.

12. The method of claim 7, further comprising:

repositioning at least one satellite for tsunami detection purposes based upon results of at least one of the detecting and analyzing steps.

13. The method of claim 7, wherein the analyzing step further comprises determining a period between consecutive crest passages for the tsunami by analyzing the captured images, wherein an existence of a tsunami is determined when the consecutive crest passages have a period of between ten to thirty minutes.

14. The method of claim 1, wherein the steps of claim 1 are performed by at least one of a service agent and a computing device manipulated by the service agent, the steps being performed in response to a service request.

15. A machine-readable storage having stored thereon, a computer program having a plurality of code sections, said code sections executable by a machine for causing the machine to perform the steps of:

detecting a location of a rapid water displacement event occurring in an ocean;

capturing images proximate to the event utilizing a satellite; and

analyzing the captured images to detect a tsunami.

16. A system for detecting tsunamis comprising:

a rapid water displacement detection system configured to detect an occurrence and a location of events that results in rapid water displacements occurring in an ocean;

a imaging satellite configured to capture images of areas indicated by the detection system responsive to a detected rapid water displacement event; and

an image analyzer configured to analyze the images captured by the imaging satellite, to ascertain wave height, wave speed, and wave direction for waves resulting from the detected rapid water displacement event and to determine an existence of a tsunami based upon the ascertained wave height, wave speed, wave period, and wave direction.

17. The system of claim 16, wherein the rapid water displacement detection system comprises:

a seismometer for detecting underwater Earthquakes.

18. The system of claim 16, wherein the rapid water displacement detection system is configured to detect disturbances in the ionosphere occurring above the ocean.

19. The system of claim 16, further comprising:

at least one tsunameter configured to gather wave data, which is combined with data obtained by the imaging satellite to detect tsunamis.

20. The system of claim 16, further comprising:

a tsunami threat warning system configured to communicate a tsunami warning based upon results of the image analyzer.