The Web-enabled Awareness Research Network project (WARN) implements the data acquisition, event detection and correlation aspects of an integrated geo-hazard alert system. Among its innovative aspects, it enables a rapid integration of real or simulated data with research and operational models of tsunami and earthquake impacts prediction. The intent of the project is to lead to the delivery of early warning to urban areas, coastal communities and key infrastructure operators. Figure 1 provides the overview of a generic alert system toplevel architecture and situates WARN in this context. WARN relies on the existence of sensors installed both underwater and on land. Warn also relies on data acquisition performed by Ocean Networks Canada's Oceans 2.0 data management system. Event detection/correlation are the key parts of WARN. The Ocean Networks Canada (ONC) infrastructure, consisting among other assets of the NEPTUNE and VENUS observatories around Vancouver Island in British Columbia is host to the various sensors required to perform the detections. The sensors include, but are not limited to, accelerometers (installed off- and on-shore), coastal radars to detect incoming near-field tsunami waves, bottom pressure recorders and other underwater pressure sensors to complete the network. This infrastructure can be expanded geographically both on land and WARN takes the quasi real-time data sources and performs on-the-fly identification and filtering of telltale signs of earthquakes and tsunamis in each individual data stream. The individual detections are subsequently matched against those obtained from different sensors during a constrained time window. This coordination of events avoids false positives and allows for the calculation of an epicentre and of a magnitude assessment in the case of an earthquake; or of a direction, speed and amplitude in the case of a tsunami. WARN's specification is to perform all detections and confirmation calculations within 2 seconds for earthquake and 2 minutes for tsunamis. Running impact assessment models is not in WARN's scope. Impact assessments are the subject of other projects in and outside of ONC. Those models are however the primary consumers of confirmed events as detected by WARN. The models use WARN's event notifications as triggers to quickly look up databases of pre-calculated impacts scenarios and notify authorities of the predicted impact. Notification of detected events are transmitted in the XML-based “Common Alerting Protocol” (CAP) format (see www.oasis-open.org/standards#capv1.2). This data payload structure (adapted to Canada's standard CAP-CP) is transmitted following a publisher-subscriber model. This project is supported in full by CANARIE Inc. (www.canarie.ca), through its Network-Enabled Platform program.
[1]
B. Pirenne.
The role of Information Communication Technologies (ICT) for seafloor observatories: Acquisition, archival, analysis, interoperability
,
2015
.
[2]
Osamu Kamigaichi,et al.
JMA EARTHQUAKE EARLY WARNING
,
2004
.
[3]
H. Kanamori,et al.
The Potential for Earthquake Early Warning in Southern California
,
2003,
Science.
[4]
Richard M. Allen,et al.
A global approach to provide magnitude estimates for earthquake early warning alerts
,
2013
.
[5]
Richard M. Allen,et al.
Development of the ElarmS methodology for earthquake early warning: Realtime application in California and offline testing in Japan
,
2011
.
[6]
Shunroku Yamamoto,et al.
On the estimation of seismic intensity in earthquake early warning systems
,
2008
.
[7]
R. V. Allen,et al.
Automatic phase pickers: Their present use and future prospects
,
1982
.
[8]
Richard M. Allen,et al.
Magnitude-Period Scaling Relations for Japan and the Pacific Northwest: Implications for Earthquake Early Warning
,
2007
.
[9]
Richard M. Allen,et al.
Toward earthquake early warning in northern California
,
2006
.
[10]
A. Round,et al.
The VENUS Cabled Observatory: Engineering Meets Science on the Seafloor
,
2007,
OCEANS 2007.
[11]
Yih-Min Wu,et al.
Development of an Earthquake Early Warning System Using Real-Time Strong Motion Signals
,
2008,
Sensors.
[12]
Keiji Doi,et al.
The operation and performance of Earthquake Early Warnings by the Japan Meteorological Agency
,
2011
.
[13]
Scott McLean,et al.
Cabled observing stations for remote locations
,
2013,
2013 OCEANS - San Diego.
[14]
B. Pirenne,et al.
The NEPTUNE Project - a cabled ocean observatory in the NE Pacific: Overview, challenges and scientific objectives for the installation and operation of Stage I in Canadian waters
,
2007,
2007 Symposium on Underwater Technology and Workshop on Scientific Use of Submarine Cables and Related Technologies.
[15]
Earl E. Davis,et al.
A review of CORK designs and operations during the Ocean Drilling Program
,
2005
.