Seismic determination of bedload and morphodynamic trends in the Nisqually River of Mount Rainier National Park, WA, USA
Notice bibliographique
Résumé
We are hoping to explore non-contact hydrology techniques, and have landed on the use of seismic signals as one of our data sources. My hope is to use one buried unit full-time for the next three years, and an array of temporary nodes during the warmer months where the ground is more accessible. The buried unit would be located just above the trimline of the Nisqually River near Longmire WA, and the nodes would be distributed in strategic locations proximal to the Nisqually River within the boundaries of Mount Rainier National Park. The location of nodes will be based on collecting signals near areas of specific river geometries with some consideration to not group any units too closely, but the exact location of nodes will depend on conditions during each seasonal deployment. Prior work suggests that signals for bedload, river discharge, and precipitation can be adequately partitioned in order to use seismic signals to generate rating curves for bedload sediment flux in a high-gradient river. At a minimum we expect to relate the appropriate signal for sediment transport to overall magnitudes of transport, and relate those timings to landform evolution trends in the active floodplain on an inner-annual basis. Currently I am looking for one L-22 and one L-28 for full-time occupation near Longmire, and 10 of the IGU-16HR nodes to be dispersed up and down the river. Prior studies for bedload estimates employed the L-28 but claimed the signal attenuated significantly above 100 Hz, my hope is to rule out the need for the high-frequency data in such projects. The area in question near Longmire is free of Wilderness and Historic District restrictions common to most of the Park, and is a candidate for longer occupations and ground disturbance for instrument burial. I am hoping to get a bit more guidance on what I might need for data loggers and power for these units, understanding that housings and power are still something I need to supply. Most of the remaining study area is designated Wilderness and would carry significant permitting burdens to have buried sensors, making the all-in-one nodes more attractive. This is the same reason the USGS has relied on nodes for similar projects on Mount Rainier and Mount St. Helens. The IGU-16HR units in particular appear to have modular batteries which makes them more suitable for extended occupations beyond the normal one-month deployment, with the goal of capturing as much of the season from May-Oct. as possible. My primary technical collaborator for seismology needs related to this project is Weston Thelen of the USGS Cascades Volcanoes Observatory, and remaining support for field work and geomorphology analysis will be provided by myself and the Mount Rainier National Park Imminent Threats Program.
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 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
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 ».