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A fluid-mechanics based classification scheme for surface transient storage in riverine environments: quantitatively separating surface from hyporheic transient storage

机译:一种基于流体 - 机械基于河流环境的表面瞬态储存的分类方案:从低管瞬态存储定量分离表面

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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.
机译:表面瞬态储存(STS)和过度低于瞬态存储(HTS)在流生态和水文中具有功能意义。目前,跟踪技术耦合STS和HTS对流营养循环的影响;然而,STS位于表面流的局部区域,HTS位于低于过度区。这些对比环境导致具有表面流的不同存储和交换机制,当比较形态学上不同的流之间的瞬态储存效果时,可以产生对比结果。我们提出了一种流体力学方法,以从HTS定量分离STS,涉及分类和研究不同类型的STS。作为起点,需要一个分类方案。本文介绍了一种分类方案,基于其流动结构对河道系统中的不同STS进行分类。鉴定八种STS类型,一些基于特征平均流动结构的子类别:(1)横向腔(紧急和浸没); (2)突出沟道流动障碍物(落后和前瞻性步骤); (3)隔离在沟道流动障碍物(紧急和淹没); (4)瀑布和浅滩; (5)水生植被(紧急和淹没); (6)池(垂直浸湿腔,闭腔和再循环水库); (7)蜿蜒弯曲; (8)流的汇合。长期目标是使用所提出的分类方案来利用现场可测量的潮流参数来开发不同STS的预测性平均停留时间,并获得有效的STS平均停留时间。然后可以从瞬态存储停留时间分布(从示踪剂测试测量)来解码有效的STS平均停留时间,以获得HTS平均停留时间的估计。

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