Data Associated with "Logjam Characteristics as Drivers of Transient Storage in Headwater Streams"
| dc.contributor.author | Marshall, Anna | |
| dc.contributor.author | Zhang, Xiaolang | |
| dc.contributor.author | Sawyer, Audrey Hucks | |
| dc.contributor.author | Wohl, Ellen | |
| dc.contributor.author | Singha, Kamini | |
| dc.coverage.spatial | Engineering Research Center Hydraulics Lab, Colorado State University | en_US |
| dc.coverage.temporal | 2020-01-01, 2021-09-01 | en_US |
| dc.date.accessioned | 2022-07-15T21:55:50Z | |
| dc.date.available | 2022-07-15T21:55:50Z | |
| dc.date.issued | 2022 | |
| dc.description | This repository contains data for the experimental flume and numerical model runs referenced in Marshall et al., 2022. Source code, data csv files for statistical analysis, and calculated temporal moments are included. | en_US |
| dc.description | Department of Geosciences | |
| dc.description.abstract | Logjams in a stream create backwater conditions and locally force water to flow through the streambed, creating zones of transient storage within the surface and subsurface of a stream. We investigate the relative importance of logjam distribution density, logjam permeability, and discharge on transient storage in a simplified experimental channel. We use physical flume experiments in which we inject a salt tracer, monitor fluid conductivity breakthrough curves in surface water, and use breakthrough-curve skew to characterize transient storage. We then develop numerical models in HydroGeoSphere to reveal flow paths through the subsurface (or hyporheic zone) that contribute to some of the longest transient-storage timescales. In both the flume and numerical model, we observe an increase in backwater and hyporheic exchange at logjams. Observed complexities in transient storage behavior may depend largely on surface water flow in the backwater zone. As expected, multiple successive logjams provide more pervasive hyporheic exchange by distributing the head drop at each jam, leading to distributed but shallow flow paths. Decreasing the permeability of a logjam or increasing the discharge both facilitate more surface water storage and elevate the surface water level upstream of a logjam, thus increasing hyporheic exchange. Multiple logjams with low permeability result in the greatest magnitude of transient storage, suggesting that this configuration maximizes solute retention in backwater zones, while hyporheic exchange rates also increase. Understanding how logjam characteristics affect solute transport through both the channel and hyporheic zone has important management implications for rivers in forested, or historically forested, environments. | en_US |
| dc.description.sponsorship | This research was supported by National Science Foundation Hydrologic Sciences (award 1819068). | en_US |
| dc.format.medium | ||
| dc.format.medium | CSV | |
| dc.format.medium | MATLAB | |
| dc.identifier.uri | https://hdl.handle.net/10217/235436 | |
| dc.identifier.uri | http://dx.doi.org/10.25675/10217/235436 | |
| dc.language | English | en_US |
| dc.language.iso | eng | en_US |
| dc.publisher | Colorado State University. Libraries | en_US |
| dc.relation.ispartof | Research Data | |
| dc.relation.isreferencedby | Marshall, A., Zhang, X., Sawyer, A. H., Wohl, E., & Singha, K. (2023). Logjam characteristics as drivers of transient storage in headwater streams. Water Resources Research, 59, e2022WR033139. https://doi.org/10.1029/2022WR033139 | en_US |
| dc.rights.license | The material is open access and distributed under the terms and conditions of the Creative Commons Public Domain "No rights reserved" (https://creativecommons.org/share-your-work/public-domain/cc0/). | |
| dc.rights.uri | https://creativecommons.org/share-your-work/public-domain/cc0/ | |
| dc.subject | fluvial geomorphology | en_US |
| dc.subject | logjams | en_US |
| dc.subject | large wood | en_US |
| dc.subject | transient storage | en_US |
| dc.subject | hyporheic exchange | en_US |
| dc.title | Data Associated with "Logjam Characteristics as Drivers of Transient Storage in Headwater Streams" | en_US |
| dc.type | Dataset | en_US |
Files
Original bundle
1 - 5 of 5
Loading...
- Name:
- README_Marshalletall.pdf
- Size:
- 121.75 KB
- Format:
- Adobe Portable Document Format
- Description:
- README
No Thumbnail Available
- Name:
- MarshalletalRawData.csv
- Size:
- 68.67 KB
- Format:
- Comma Separated Value File
- Description:
- Flume and model raw data
No Thumbnail Available
- Name:
- MarshalletalTempMoOutputs.csv
- Size:
- 1.11 KB
- Format:
- Comma Separated Value File
- Description:
- Flume and model outputs
No Thumbnail Available
- Name:
- TempMoScript.m
- Size:
- 1003 B
- Format:
- Unknown data format
- Description:
- Sample Matlab temporal moments script
Loading...
- Name:
- TempMoScript.pdf
- Size:
- 6.26 KB
- Format:
- Adobe Portable Document Format
- Description:
- PDF version of sample Matlab temporal moments script
License bundle
1 - 1 of 1
No Thumbnail Available
- Name:
- license.txt
- Size:
- 1.05 KB
- Format:
- Item-specific license agreed upon to submission
- Description: