Under copyright Constraint(s) on Use: This work is protected by the U.S. Copyright Law (Title 17, U.S.C.). Use of this work beyond that allowed by "fair use" or any license applied to this work requires written permission of the copyright holder(s). Responsibility for obtaining permissions and any use and distribution of this work rests exclusively with the user and not the UC San Diego Library. Inquiries can be made to the UC San Diego Library program having custody of the work. Use: This work is available from the UC San Diego Library. This digital copy of the work is intended to support research, teaching, and private study.
Rights Holder and Contact
UC Regents
Description
Data files contain detected RFID tagged cobble locations and associated wave conditions at Torrey Pines State Beach, CA. The coordinate systems for the data are UTM Zone 11, nad83, navd88, meters. RFID surveys were conducted with a handheld and custom mobile (ATV) system. Abstract: Cobbles provide a nature-based method to help generate beach stability. However, few detailed cobble movement observations exist. This study deployed 344 radio-frequency identification (RFID) tagged cobbles at a California beach in Nov-Dec 2020. Coincident LiDAR surveys quantified beach morphology. Cobbles were mapped daily for 10 days and then ~monthly until Jan 2023. Cobble detection rates ranged 17-92%, and generally declined with time (with slight increases during winter months). Cobble movement exhibited complex patterns, sometimes moving in opposing directions during the same time period. Large winter waves (up to ~4m) resulted in average displacements of 40m per month between Nov 2020 and Apr 2021. From Apr 2021 to Aug 2022, most cobbles were located high on the beach and net alongshore movements were relatively low, despite several moderate size (~2m) wave events. The largest wave event in Jan 2023 (>4m) moved cobbles to the highest elevations of the study period. The initial release location and accommodation space in the back beach influenced cobble movement and final position. Cobbles high on the beach were relatively stable compared to lower elevation cobbles, and more than half of all cobble detections were within 50m of the initial release location. However, three cobbles moved >500m. The probability distribution of displacement was approximately exponential. Statistically, alongshore cobble spreading followed a non-Gaussian sub-diffusive process. Despite myriad sources of noise, results suggest cobble shape and mass were related to maximum cobble displacement. Overall, displacements increased with incident wave energy and depended on elevation relative to total water level. Research Data Curation Program, UC San Diego, La Jolla, 92093-0175 (https://lib.ucsd.edu/rdcp) Young, Adam P.; Matsumoto, Hironori; Spydell, Matthew S.; Dickson, Mark E. (2023). Data from: Cobble Tracking Observations at Torrey Pines State Beach, CA, USA. UC San Diego Library Digital Collections. https://doi.org/10.6075/J0CZ37B1
Type
text
Identifier
ark:/20775/bb2263494t
Language
English
Subject
Radio-frequency identification (RFID) Beaches Cobble Gravel California Torrey Pines State Beach (San Diego, Calif.)
Place
California Torrey Pines State Beach (San Diego, Calif.)
If you're wondering about permissions and what you can do with this item, a good starting point is the "rights information" on this page. See our terms of use for more tips.
Share your story
Has Calisphere helped you advance your research, complete a project, or find something meaningful? We'd love to hear about it; please send us a message.