Sediment Monitoring and Streamflow Modeling Before and After a Stream Restoration in Rice Creek, Minnesota, 2010–2019
Links
- Document: Report (19.2 MB pdf) , XML
- Dataset: U.S. Geological Survey National Water Information System database —USGS water data for the Nation
- Data Release: USGS data release - Suspended sediment and bedload data, simple linear regression models, loads, elevation data, and FaSTMECH models for Rice Creek, Minnesota, 2010-2019
- Download citation as: RIS | Dublin Core
Abstract
The Rice Creek Watershed District (RCWD) cooperated with the U.S. Geological Survey to establish a 10-year suspended sediment and bedload monitoring and streamflow modeling study to evaluate the effects of two restored meander sections on middle Rice Creek in Arden Hills, Minnesota. The RCWD goals of this stream restoration were to reduce water quality impairments, improve aquatic habitat, and reduce associated costs of dredging a sedimentation pond. During the study there were several factors that introduced uncertainty in the sampling results; however, the sampling results indicated there was an increase in the post-stream restoration sediment data because of higher streamflows during the post-stream than the pre-stream restoration monitoring period. The negative relation between suspended fines and streamflow was explained by a reduction in the supply of fines with increasing streamflows. The positive relation among suspended sand, bedload, and streamflow was because of those constituents having a functional relation with the hydraulic properties of flow and a consistent supply of sand. Two-dimensional flow modeling simulations indicated the downstream restored section had less shear stress, more pools, and could access the floodplain at a lower streamflow than the original channel. Overall, the uncertainty of the sampling results indicates the complexity of sediment transport in a river and suggests a need for multisite, multifaceted, multiyear data, and tools to simulate those data to effectively evaluate river restorations.
Suggested Citation
Groten, J.T., Livdahl, C.T., DeLong, S.B., Lund, J.W., Nelson, J.M., Coenen, E.N., Ziegeweid, J.R., and Kocian, M.J., 2022, Sediment monitoring and streamflow modeling before and after a stream restoration in Rice Creek, Minnesota, 2010–2019: U.S. Geological Survey Scientific Investigations Report 2022–5004, 40 p., https://doi.org/10.3133/sir20225004.
ISSN: 2328-0328 (online)
Study Area
Table of Contents
- Acknowledgments
- Abstract
- Introduction
- Methods of Data Collection and Analysis
- Streamflow, Suspended Sediment, and Bedload Results
- Summary and Conclusions
- References Cited
Publication type | Report |
---|---|
Publication Subtype | USGS Numbered Series |
Title | Sediment monitoring and streamflow modeling before and after a stream restoration in Rice Creek, Minnesota, 2010–2019 |
Series title | Scientific Investigations Report |
Series number | 2022-5004 |
DOI | 10.3133/sir20225004 |
Year Published | 2022 |
Language | English |
Publisher | U.S. Geological Survey |
Publisher location | Reston, VA |
Contributing office(s) | Minnesota Water Science Center, Upper Midwest Water Science Center |
Description | Report: viii, 40 p.; Data release; Dataset |
Country | United States |
State | Minnesota |
Other Geospatial | Rice Creek |
Online Only (Y/N) | Y |
Google Analytic Metrics | Metrics page |