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| Type: | Resource | |
| Storage: | The size of this resource is 17.8 MB | |
| Created: | Aug 07, 2023 at 8:38 p.m. (UTC) | |
| Last updated: | Jul 05, 2025 at 7:17 a.m. (UTC) | |
| Citation: | See how to cite this resource |
| Sharing Status: | Public |
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| Views: | 31 |
| Downloads: | 1 |
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Abstract
This data repository includes 6 active source seismic refraction surveys conducted in Dead Run watershed, Maryland in 2021. The surveys were done with a 24-channel Geode seismic recording system manufactured by Geometrics. We used a 12-lb sledgehammer as the seismic sources. The geophones (sensors to record seismic signals) were in 3m spacing. During the surveys, multiple seismic shots were stacked at the same shot location to increase the quality of the active sources. The first P-wave arrivals were picked using Pickwin by Geometrics. The team used Matlab to generate the P-wave travel time curve from the original Pickwin format. To reliably resolve seismic velocity with depth, the team implemented a Transdimensional Hierarchical Bayesian (THB) framework with reversible-jump Markov Chain Monte Carlo to generate samples from the posterior distribution of velocity structures. This method is based on Huang et al. (2021). This inversion code was written in Matlab and is publicly available in Github (https://github.com/MongHanHuang/THB_rjMCMC) After each model iteration is stable (generally after 1 million iterations), the final velocity structure is the average of the posterior model ensemble. In the repository, each seismic line is saved as a folder. In each data folder, the model file is saved in Matlab format (*.mat) with models plotted in *.png and *.eps formats.
Subject Keywords
Coverage
Spatial
Content
readme.txt
For each seismic line, there is a text file under "GIS" folder with the coordinate and elevation of the survey line. The locations were registered in the UTM (18S zone) system. To generate new plots, one can load the model file (*.mat) in Matlab first, and open any of the scripts under "tools" in Matlab to generate plots such as contour lines and vertical velocity profiles.
Related Resources
| Title | Owners | Sharing Status | My Permission |
|---|---|---|---|
| Dead Run Data Collection | Claire Welty · John Lagrosa IV | Discoverable & Shareable | Open Access |
Credits
Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
|---|---|---|
| National Science Foundation | Collaborative Research: Network Cluster: Urban Critical Zone processes along the Piedmont-Coastal Plain transition | 2012340 |
| National Science Foundation | Collaborative Research: Network Cluster: Urban Critical Zone processes along the Piedmont-Coastal Plain transition | 2012616 |
Contributors
People or Organizations that contributed technically, materially, financially, or provided general support for the creation of the resource's content but are not considered authors.
| Name | Organization | Address | Phone | Author Identifiers |
|---|---|---|---|---|
| Karen Prestegaard | University of Maryland at College Park | Maryland, US | ||
| Samantha Volz | University of Maryland at College Park | MD, US | ||
| Berit Margaret Hudson Rasmussen | University of Maryland, College Park | MD, USA | ||
| Claire Welty | University of Maryland;Baltimore County | Maryland, US | ||
| Mary McWilliams | University of Maryland Baltimore County | Maryland, US | ||
| John J. Lagrosa IV | Center for Urban Environmental Research and Education at the University of Maryland, Baltimore County | Maryland, US |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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