We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
A Study of the Algorithms for the Detection of Tsunami Using an Ocean Bottom Pressure Recorder.
- Authors
Ramadass, Gidugu Ananada; Vedachalam, Narayanaswamy; Sudhakar, Tata; Ramesh, Raju; Jyothi, Vandavasi Bala Naga; Prashanth, Naranamangalam Balaji; Atmanand, Malayath Aravindakshan
- Abstract
The National Institute of Ocean Technology (NIOT), an autonomous organiza-tion under the Ministry of Earth Sciences, government of India, is engaged in de-veloping and installing systems for tsunami detection and reporting. This involves high-precision bottom pressure recorders (BPRs) installed on the ocean floor, which can detect water level changes in the order of a few centimeters. Data are logged and recorded subsea by instruments located close to the BPRs. The detec-tion of abnormal changes in the water level is required for detecting a tsunami event. This paper describes algorithms incorporated in most BPRs for detecting a tsunami by predictive methods such as Newton's Extrapolation and Kaiman predictor tech-niques. The most widely used tsunami detection algorithm is based on Newton's extrapolation. The tsunami detection technique based on the Kaiman prediction al-gorithm developed by NIOT can be an alternative for the existing technique. This paper describes both the algorithms and analyzes their effectiveness during tsu-nami event detection using MATLAB software. It is found that the Kaiman algorithm has a better detection performance over the Newton extrapolation technique for tsu-nami wave amplitudes up to 300 mm. The Newton extrapolation technique has a better detection performance for tsunami wave duration of less than 10 min. For tsunami wave durations greater than 10 min, the Kaiman algorithm has a better detection performance. As the wave durations of most of the recorded tsunamis are greater than 10 min, the Kaiman algorithm could be a viable substitute for tsunami detection.
- Subjects
TSUNAMIS; ALGORITHMS; OCEAN bottom; PRESSURE; MATLAB (Computer software)
- Publication
Marine Technology Society Journal, 2014, Vol 48, Issue 1, p76
- ISSN
0025-3324
- Publication type
Article
- DOI
10.4031/MTSJ.48.1.6