flow obstructions
Recently Published Documents


TOTAL DOCUMENTS

22
(FIVE YEARS 0)

H-INDEX

7
(FIVE YEARS 0)

2016 ◽  
Vol 68 (19) ◽  
pp. 2126-2127
Author(s):  
Attilio Iacovoni ◽  
Emilia D’Elia ◽  
Claudia Vittori ◽  
Michele Senni

2015 ◽  
Vol 69 (4) ◽  
pp. 335-351 ◽  
Author(s):  
Gongnan Xie ◽  
Yanlong Li ◽  
Fengli Zhang ◽  
Bengt Sundén

2013 ◽  
Vol 17 (7) ◽  
pp. 2747-2779 ◽  
Author(s):  
T. R. Jackson ◽  
R. Haggerty ◽  
S. V. Apte

Abstract. Surface transient storage (STS) and hyporheic transient storage (HTS) have functional significance in stream ecology and hydrology. Currently, 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. This paper introduces a classification scheme that categorizes different STS in riverine systems based on their flow structure. Eight STS types are identified and some are 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 presented to develop predictive mean residence times for different STS using field-measurable hydromorphic 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.


2013 ◽  
Vol 133 (5) ◽  
pp. 3264-3264 ◽  
Author(s):  
Remy Oddo ◽  
Anthony Gérard ◽  
Michel Pearson ◽  
Adrien Amyotte ◽  
Patrice Masson ◽  
...  

2013 ◽  
Vol 10 (4) ◽  
pp. 4133-4206 ◽  
Author(s):  
T. R. Jackson ◽  
R. Haggerty ◽  
S. V. Apte

Abstract. Surface transient storage (STS) and hyporheic transient storage (HTS) have functional significance in stream ecology and hydrology. Currently, 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. This paper introduces a classification scheme that categorizes different STS in riverine systems based on their flow structure. Eight distinct STS types are identified and some are subcategorized based on characteristic mean flow structure: (1) lateral cavities (emerged and submerged); (2) protruding in-channel flow obstructions (backward- and forward-facing step); (3) isolated in-channel flow obstructions (emerged and submerged); (4) cascades and riffles; (5) aquatic vegetation (emerged 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 presented to develop predictive mean residence times for different STS using field-measureable hydromorphic parameters and obtain a theoretical STS residence time distribution (RTD). The STS RTD can then be deconvolved from the transient storage RTD (measured from a tracer test) to obtain an estimate of HTS.


2013 ◽  
Author(s):  
Remy Oddo ◽  
Anthony Gerard ◽  
Michel Pearson ◽  
Adrien Amyotte ◽  
Patrice Masson ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document