Published September 2018 | Version v1
Journal article

Modeling fine particle dynamics in gravel-bedded streams: Storage and re-suspension of fine particles

  • 1. Water Quality Research Center, Korea Water Resources Corporation, 200 Sintanjin-Ro, Daedeok-Gu, Daejeon, K-water, South (Korea, Republic of)
  • 2. University of California at Berkeley, Department of Civil and Environmental Engineering, Berkeley, CA 94720 (United States)

Description

Highlights: • Fine particle dynamics are coupled with bedload transport in streams. • Fine particles stored in the sediment bed are re-suspended when the bed is fluidized. • Fine particle storage and re-suspension process are quantified by an empirical model. Fine particles or sediments have various effects on water quality and aquatic ecosystems. Thus, understanding the dynamics of these fine particles between water body and stream bed is an important issue in sediment research. Previous studies and analysis of empirical data suggest that fine particles are stored in the sediment bed in the low flow regime, where flow rate is smaller than the critical flow rate that mobilizes the sediment bed. These fine particles are re-suspended during flood events when the flow rate becomes larger than the critical flow rate that mobilizes bed material. The transition from pattern recognition to process analysis required incorporation of the dominant processes controlling fine particle dynamics within gravel-bedded streams into a model. The process analysis was performed using continuous flow and turbidity data at two locations on the Russian River in California to test process descriptions and then calibrate a quantitative model to represent those processes. The resulting process model coupled fine particle retention within the sediment bed by filtration and sedimentation with the release of accumulated fine particles in response to flood events. Model parameters, such as the critical flow rate required for initiating sediment bed fluidization, the maximum fine particle storage capacity within the sediment bed, and background particle concentration for the watershed, were estimated from the monitoring data. Model calibration optimized the filtration and the sediment bed fluidization parameters over two or three years of data. Overall, the difference between modeled and observed fine particle mass released from the sediment bed was within 20% of the measured mass.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.scitotenv.2018.04.034

Additional details

Identifiers

DOI
10.1016/j.scitotenv.2018.04.034;
PII
S0048969718311768;

Publishing Information

Journal Title
Science of the Total Environment
Journal Volume
634
Journal Page Range
p. 1042-1053
ISSN
0048-9697
CODEN
STENDL

Optional Information

Copyright
Copyright (c) 2018 Elsevier B.V. All rights reserved.