From: Sharlynn Sweeney [mailto:[log in to unmask]]
Sent: Tuesday, November 06, 2018 4:09 PM
To: [log in to unmask]; Garvin, Mary E <[log in to unmask]>; Angelini,Christine <[log in to unmask]>; Brown,Mark T <[log in to unmask]>; Kaplan, David A <[log in to unmask]>; Clark,Mark W <[log in to unmask]>; . ESSIE-NEWS <[log in to unmask]>; Andrew Altieri <[log in to unmask]>; Systems Ecology Listserv <[log in to unmask]>
Subject: Wed. Nov 7, W3 Seminar: Quantifying and predicting three-dimensional heterogeneity in river transient storage using roving profiling - Nathan Reaver, ESSIE, UF


Please join us for the Water, Wetlands, and Watersheds Seminar

November 7th, 11:45am-12:30pm, Phelps Lab 101

Quantifying and predicting three-dimensional heterogeneity in river transient storage using roving profiling
Nathan Reaver
PhD candidate, Engineering School of Sustainable Infrastructure & Environment (ESSIE), UF

Nathan pics

Hydraulic transport is an important component of nutrient spiraling in streams. Quantifying conservative solute transport is a prerequisite for understanding the cycling and fate of reactive solutes, such as nutrients. Numerous studies have modeled solute transport within streams using the one-dimensional advection, dispersion and storage (ADS) equation calibrated to experimental data from tracer experiments. However, there are limitations to the information about in-stream transient storage that can be derived from calibrated ADS model parameters. Transient storage (TS) in the ADS model is most often modeled as a single process, and calibrated model parameters are “lumped” values that are the best-fit representation of multiple real-world TS processes. In this study, we developed a roving profiling method to assess and predict spatial heterogeneity of in-stream TS. We performed five tracer experiments on three spring-fed rivers in Florida (USA) using Rhodamine WT. During each tracer release, stationary fluorometers were deployed to measure breakthrough curves for multiple reaches within the river. Teams of roving samplers moved along the rivers measuring tracer concentrations at various locations and depths within the reaches. Rover samples were assigned membership to either the advective or TS zone by comparing measured concentrations to the probability distributions of concentrations in the ADS advective and TS zones. A regression model was used to predict the probability of any in-stream position being located within the advective versus TS zone based on spatiotemporal predictors and eco-geomorphological features. Results confirm that TS is spatially variable as a function of spatiotemporal and eco-geomorphological features.

Nathan Reaver is a Ph.D. candidate in the Department of Environmental Engineering Sciences and a member of the UF Watershed Ecology Laboratory. During his time at UF he has worked on topics ranging from landscape hydrology to the hydrodynamics of submerged vegetation. He plans on graduating in December 2018.

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Sharlynn Sweeney, MLIS, PhD
Center for Environmental Policy and
Howard T. Odum Center for Wetlands
University of Florida


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