Wireless Retrieval of High-Rate Ocean Bottom Seismograph Data and Time Synchronization Using the WHOI Optical Modem and REMUS AUV
Notice bibliographique
Résumé
Sustained earthquake monitoring of offshore areas of high seismic risk such as the continental shelf and slope above the Cascadia, Alaska/Aleutians, and Puerto Rico subduction zones would not only improve our understanding of the internal structure and rupture properties of these faults but also potentially allow advanced warning of increased short-term seismic risk. Studies of these areas have demonstrated that there are time periods on the scale of days to weeks when large subduction earthquakes are more likely to occur. To fully understand this basic fault behavior and possibly utilize it to reduce risk to society, we need access to high-quality data from offshore directly above areas where the great earthquakes rupture. Retrieving high quality seismic and geodetic data from the seafloor pushes the limits of currently affordable telemetry systems. Fiber optic cabled real-time seismic stations, such as those deployed offshore Japan, the west coast of Canada, and the northwest coast of the U.S., are superb platforms for earthquake monitoring but are expensive to deploy. Alternatively, autonomous Ocean Bottom Seismometers (OBS) could be used for cost-effective, long-term, earthquake monitoring if: (1) the OBS could operate for multiple years without servicing, and (2) accurately-timed data could be retrieved in real-time or on-demand without the expense and effort of sending a research vessel to recover and redeploy the OBS. A number of recent technological advances developed at WHOI, including a factor of >10,000 increase in underwater telemetry speeds, can make long-term deployments with routine data access a reality. A collaborative effort among three well-established instrumentation groups at WHOI - the Optical Modem, REMUS Autonomous Underwater Vehicle (AUV), and Ocean Bottom Seismograph Labs - proposes to solve two severe limitations of OBS deployments, namely infrequent and expensive data retrieval by OBS recovery using a research vessel, and non-optimum timing brought about by large and non- linear clock drifts that increase with deployment duration. We have developed the capability for complete data retrieval from autonomous OBS using a high-speed optical telemetry modem capable of sustained transfer rates of 10 Mbits/second from a variety of platforms, including fully autonomous underwater vehicles. Precise and accurate timing is a requirement not only for measuring earthquake locations and spatio-temporal migration rates, but also for measuring temporal changes in rock velocity, which are indicative of stress changes that can in turn be indicators of near-term rupture. In addition to retrieving data, the offset of the OBS clocks relative to GPS-referenced time can be accurately measured and logged via the optical link. Both of these capabilities will make multiple-year OBS deployments worthwhile. We present the results of our initial proof-of-concept, short-duration deployment offshore Woods Hole, Massachusetts. A timing transfer algorithm and protocol have been developed to enable communication of timing information alongside the telemetry data. A REMUS AUV, equipped with the optical modem and a freshly disciplined timing source, traveled to an OBS deployed close to shore on two missions and successfully retrieved telemetry data. The offset of the OBS clock was measured relative to the GPS- synchronized time signals provided over the optical link to an accuracy of 10 ppm. This study will be followed by a two-year deployment of two modem-equipped OBS in a seismically active area at a location to be determined.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».