Data Associated with "Logjam Characteristics as Drivers of Transient Storage in Headwater Streams"
Files
README_Marshalletall.pdf (121.75 KB) README MarshalletalRawData.csv (68.67 KB) Flume and model raw data MarshalletalTempMoOutputs.csv (1.11 KB) Flume and model outputs TempMoScript.m (1003 B) Sample Matlab temporal moments script TempMoScript.pdf (6.26 KB) PDF version of sample Matlab temporal moments script
Date
2022
Authors
Marshall, Anna
Zhang, Xiaolang
Sawyer, Audrey Hucks
Wohl, Ellen
Singha, Kamini
Journal Title
Journal ISSN
Volume Title
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.
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.
Department of Geosciences
Department of Geosciences
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Subject
fluvial geomorphology
logjams
large wood
transient storage
hyporheic exchange
Citation
Associated Publications
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