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首页> 外文期刊>Limnology and oceanography, methods >Stream tracer breakthrough curve decomposition into mass fractions: A simple framework to analyze and compare conservative solute transport processes
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Stream tracer breakthrough curve decomposition into mass fractions: A simple framework to analyze and compare conservative solute transport processes

机译：将示踪剂突破曲线分解成质量分数：分析和比较保守溶质运输过程的简单框架

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摘要

Ecological functions are coupled to the physical transport of water and solutes in streams. Transport of conservative tracers in lotic systems is subject to the processes of advection, dispersion, transient storage, and mass loss to groundwater. Stream tracer experiments and the simulation of observed tracer breakthrough curve (BTC) data with 1-D numerical transient storage models (TSMs) are commonly used to quantify these processes. Results from TSMs can be useful, but issues related to model appropriateness and parameter identifiability suggest a need for conceptually simpler approaches to BTC analyses. We present a new approach to analyze BTCs to quantify the amount of stream water transported by each dominant process. BTCs are analyzed to parse the total quantity of injected tracer mass into three dominant process domains: advection and dispersion, transient storage, and gross loss of tracer. This method can be used to quantify the relative influence of transport processes within, and among streams, and estimate the proportion of stream water associated with each mode of transport. As proof of concept, we apply this approach to conservative tracer injections on two streams of contrasting morphology. Application of this method indicates that transport of injected solute mass in an alluvial stream is dominated by advection and dispersion, relative to a beaded, peatbottomed stream, where more tracer mass transport was found to be associated with longer timescale transient storage processes. This approach provides a simple, inexpensive, and useful quantification of dominant transport processes and provides an additional tool for analyzing experimental BTC data.
机译：生态功能与物理运输耦合到溪流中的水和溶质。在大众系统中的保守示踪剂的运输受到平流，分散，瞬态储存和地下水的大规模损失的影响。流示踪剂实验和观察到的示踪突破曲线（BTC）数据的模拟通常用于量化这些过程。 TSM的结果可能是有用的，但与模型适当性和参数可识别性有关的问题表明，需要对BTC分析的概念上更简单的方法。我们提出了一种分析BTC的新方法，以量化每个主导过程运输的流水量。分析BTCS以将注入的示踪物质量的总量解析为三个主导过程域：平流和分散，瞬态储存和示踪剂的严重损失。该方法可用于量化在流内部和流中的传输过程的相对影响，并估计与每种运输方式相关的流水的比例。作为概念证明，我们将这种方法应用于保守的示踪剂注射，对比截味的形态。该方法的应用表明，相对于串珠的渗透物流，通过平流和分散，在串珠式渗透物流中，在串珠式流动的情况下，进样的溶质物质的运输是由平凡和分散的。这种方法提供了一种简单，廉价，有用的主导传输过程量化，并提供了一种用于分析实验性BTC数据的额外工具。

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