Paper No. 11
Presentation Time: 10:55 AM

A FLUID-MECHANICS-BASED CLASSIFICATION SCHEME FOR SURFACE TRANSIENT STORAGE IN RIVERINE ENVIRONMENTS: QUANTITATIVELY SEPARATING SURFACE FROM HYPORHEIC TRANSIENT STORAGE


JACKSON, Tracie, OSU, Corvallis, OR 97331, HAGGERTY, Roy, Geosciences, Oregon State Univ, 104 Wilkinson Hall, Corvallis, OR 97331-5506 and APTE, Sourabh, School of Mechanical, Industrial, and Manufacturing Engineering, Oregon State University, 204 Rogers Hall, Corvallis, OR 97331, jacksotr@onid.oregonstate.edu

Surface transient storage (STS) and hyporheic transient storage (HTS) have functional significance in stream solute transport. Current tracer techniques couple STS and HTS effects on stream nutrient cycling; however, STS resides in localized areas of the surface stream and HTS resides in the hyporheic zone. These contrasting environments result in different storage and exchange mechanisms with the surface stream, which can yield contrasting results when comparing transient storage effects among morphologically diverse streams. We propose a fluid mechanics approach to quantitatively separate STS from HTS that involves classifying and studying different types of STS. As a starting point, a classification scheme is needed. We introduce a classification scheme that categorizes different STS in riverine systems based on their flow structure. Eight STS types are identified and subcategorized based on characteristic mean flow structure: (1) lateral cavities (emergent and submerged); (2) protruding in-channel flow obstructions (backward- and forward-facing step); (3) isolated in-channel flow obstructions (emergent and submerged); (4) cascades and riffles; (5) aquatic vegetation (emergent and submerged); (6) pools (vertically submerged cavity, closed cavity, and recirculating reservoir); (7) meander bends; and (8) confluence of streams. The long-term goal is to use the classification scheme to develop predictive mean residence times for different STS using field-measureable hydraulic and geomorphic parameters and obtain an effective STS mean residence time. The effective STS mean residence time can then be deconvolved from the transient storage residence time distribution (measured from a tracer test) to obtain an estimate of HTS mean residence time.