New Approach for Tsunami Detection Based on RTK-GNSS Using Network of Ships

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New Approach for Tsunami Detection Based on RTK-GNSS Using Network of Ships Tokyo University of Marine Science and Technology Ryuta Nakaosone Nobuaki Kubo

Background After the Indian Ocean Tsunami on 2004, there has been an increase in demand for Tsunami detection. Since we can t avoid an earthquake or Tsunami, early detection is critical for disaster prevention. To detect the Tsunami before it reaches the coast, Japan is using a GPS buoy system from 2008. The buoy sys successfully detected the Tsunami which occurred after the M9.0 earthquake in 2011. The system uses RTK-GNSS for position measurements and because of baseline restriction, deploying it 20km off the coast is the current limit. 2

Outlines GPS Buoy Tsunami PPP Proposed method Test results Summary 3

GPS buoy Offshore wave-meter using RTK-GPS, daily offshore observations as well as Tsunami detection in case of emergency Buoy: length 16m diameter 3.5m 50t with solar panels and transmitters Moving from RTK-GPS to PPP-AR GPS antenna 15 deployed and working x x x x x radio antennas x x x x x 4

GPS buoy Real-time RTK position (1Hz) On Mar 11 th 2011,Tohoku earthquake, it successfully detected Tsunami waves, 10mins before striking the coast GPS buoy outline GPS sats Base St. buoy Meteorological Agency etc. Control center Via network Realtime Data obs Data analysis Depth 1km Up to 20km GPS buoy 5

Wave Height (m) Tsunami detection (2011) Tohoku earthquake Epicenter 130km east of Sendai South Iwate buoy 10km offshore Depth 200m Unstable data due to earthquake 14:46 Earthquake 14:53 First detected Tsunami motion 15:12 Tip of Tsunami wave 6

Baseline restrictions Normal RTK-GNSS algorithm uses double-differential data made from two observation data, and makes up an observation equation to compute. Problem: some error terms have spatial correlation, which decrease as the baseline grows longer, thus the accuracy degrade. 0.2 Baseline 4.5km 0.2 Baseline 19.6km 0.15 0.15 0.1 0.1 0.05 0.05 0 80000 100000 120000 140000 160000 180000-0.05-0.1-0.15 0 80000 100000 120000 140000 160000 180000-0.05-0.1-0.15-0.2 7-0.2 Based on GSI reference raw data

PPP PPP is very powerful method Real-Time PPP Sub decimeter horizontal accuracy No exact base station needed Needs precise ephemeris and accurate clock prediction PPP-AR About 5cm horizontal accuracy Needs base station, but baseline can grow to 1,000km 8 Long time to fix but it might be OK for Tsunami detection use. Very desirable technique in the future.

Communication Network Current system uses buoys $3million per buoy Proposed method PPP certainly has the potential but cost of communication is high Use ships as basis VHF for communication 9

Ships and AIS AIS(Automatic Identification System) Ships equipped with AIS have GNSS receivers. A system that broadcast ship info automatic via VHF transmitter Used for SAR Can be displayed on ECDIS Tokyo bay Uses two VHF channels Data rate 9.6Kbps Horizontal range 70-80km 10

Proposed Method RTK using dynamic base-station Real-time Data analysis Base st Obs data Rov 2 Rov 1 Using RTK positioning from the base station to rov1, and then position rov2 in respect of rov1, we can achieve accuracy of few cm further offshore. 11 The question is are there ships in suitable distance?

Num of ships Examination of ships loaded with AIS Survey area (likely area for Tsunami) South of Nagoya North part of Nankai trough 50*50km 30 25 20 Ships in 20km radius of the coast Ave 14.4 ships/15 min Plus 8.5ships/hour 20km or more 15 10 5 0 0 20000 40000 60000 80000 100000 sec 1 day 12

Stationary experiment 5 reference stations Normal RTK positioning has an error scale of few cm. Proposed RTK uses the position with that error contained, so as we go down the line, the error will accumulate. Ref. Rov.1 Rov.2 Rov.3 Rov.4 13

Vertical Error Investigation Upper: RTK results show position using each baseline Lower: Positioning results using Proposed RTK RMS rov1 rov2 rov3 rov4 RTK 2.63 1.96 1.98 2.31 cm Proposed RTK - 3.76 5.42 7.44 cm Baseline 11.3 19.9 29.1 39.5 km 0.3 0.3 0.2 0.2 0.1 0.1-0.1 0 80000 100000 120000 140000 160000 180000-0.1 0 80000 100000 120000 140000 160000 180000-0.2-0.3 14 24 hours -0.2-0.3 24 hours

Brief Summary The target area for Tsunami detection is probably within 30-50km for the emergency escape. Based on the stationary experimental results, the network of two ships will be practical and accuracy is OK. From the AIS information, the network of ships are sufficient. 15

Experiment using Real Ship Experiment using a ground station and 2 anchored ships 15.8km Ship.1 12.6km Base. Ship.2 Aug 7 th 2012 3h(2Hz) Base station Setagaya NovAtel OEM5 Ship 1 University Dock NovAtel OEM6 Ship 2 Urayasu Dock NovAtel OEM6 16 Another reference stations was installed near Rover 1 (our university).

Experiment using Real Ship Positioning using proposed RTK method Rooftop Base Station Ship 1 Ship 2 17

Evaluation of the Ship Test Prior RTK analysis From University to Ship1 (-100m) From University to Ship2 (13km) #1 Reference positions in all epochs in two ships were prepared. Actual RTK analysis using our proposed method From Setagaya base station to Ship1 (16km) From Ship1 to Ship2 (13km) #2 Finally, the altitude variations of Ship2 were compared between #1 and #2. 18

Experiment using Ship Base station to rov2 (via rov1) Overall baseline 28.4km 37.8 #1 37.7 #2 37.6 37.5 37.4 Tide level 37.3 2m 37.2 37.1 37 37.35 37.3 Average Sea level 36.9 36.8 218000 220000 222000 224000 226000 228000 230000 232000 35.6m 37.25 37.2 37.15 225000 19 225200 225400 225600 225800 226000 Geoid surface

Summary For Tsunami detection, the use of ship network were verified in both stationary case and real ship case. Accuracy was what we expected. Other candidates for precise positioning, PPP or medium distance RTK should be evaluated. The data link between ships and base stations on land is still a challenge. VHF is used in GPS buoy. If the data size of correction data can be small, we may able to use QZS as a data transfer for PPP or RTK near Japan. 20

End of presentation & Thank you for listening 21

SPace based AIS Experiment (SPAISE) AIS transmitted signals only reach 80km horizontally, but vertical range is over 400km and can be monitored in space. American co. ORBCOMM launched 5 communication satellites equipped with AIS receivers in 2008. Japan also launched a SDS(Small Demonstration Satellite) loaded with SPAISE on May 5 th 2012. SDS with 2 AIS antennas 22

Nankai trough Steep trough south of Japan. Philippine-sea plate sinks under the Eurasian plate. Seismic activity is very high and earthquakes of M8 class tend to occur every 100 to 200 years or so. Most of the time they occur simultaneously, devastating the region Last Tokai earthquake was 150 years ago 23

水深と観測値 Tsunami waves are lower at deeper ocean and tend to get higher as they reach the shallow coast Estimation of measurements for a meter high tsunami at coastline (relation between depth and height at see) depth 10m 50m 100m 200m Tohoku depth 1km = 60-80km offshore Nankai depth 1km = 30-50km offshore Estimated measurements 65cm 45cm 35cm 30cm 1,000m 15cm 24

Ships and A.I.S Ships which go abroad have the same equipment (GNSS receiver) as the GPS buoy But the problem is that they don t have a network to send the information. Communication: satellite com and VHF radio INMAR-B 9600bps INMAR-F 64Kbps 25

Earthquake and Tsunami 1 out of 10 and the plates Eurasian plate North American plate Pacific plate Mechanism (2011Tohoku) 1 Each year Pacific plate sinks under N.A plate by few cm 2 The upper plate get compressed 3 Compression reaches the limit and upper plate springs (earthquake) 4 Sea water above gets wedged (Tsunami) 1 3 Philippine Sea plate 2 4 26

Tsunami Difference between a meter high wave and a Tsunami Tsunami Waves 1m Tsunami offshore becoming 10m at the coastline Wave speed V= g h speed drops as the depth gets shallow the following waves catch up the waves have no ware but up Wave height prediction After a earthquake occur the agency immediately calculates the position and scale and matches the pre-calculated Tsunami prediction height from the database. 27