Catchment concentration–discharge relationships across temporal scales: A review

WIREs Water Pub Date : 2023-12-07 DOI:10.1002/wat2.1702
Shannon L. Speir, Lucy A. Rose, Joanna R. Blaszczak, Dustin W. Kincaid, Hannah M. Fazekas, Alex J. Webster, Michelle A. Wolford, Arial J. Shogren, Adam S. Wymore
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Abstract

Processes that drive variability in catchment solute sourcing, transformation, and transport can be investigated using concentration–discharge (C–Q) relationships. These relationships reflect catchment and in-stream processes operating across nested temporal scales, incorporating both short and long-term patterns. Scientists can therefore leverage catchment-scale C–Q datasets to identify and distinguish among the underlying meteorological, biological, and geological processes that drive solute export patterns from catchments and influence the shape of their respective C–Q relationships. We have synthesized current knowledge regarding the influence of biological, geological, and meteorological processes on C–Q patterns for various solute types across diel to decadal time scales. We identify cross-scale linkages and tools researchers can use to explore these interactions across time scales. Finally, we identify knowledge gaps in our understanding of C–Q temporal dynamics as reflections of catchment and in-stream processes. We also lay the foundation for developing an integrated approach to investigate cross-scale linkages in the temporal dynamics of C–Q relationships, reflecting catchment biogeochemical processes and the effects of environmental change on water quality.

Abstract Image

跨时间尺度的流域浓度-排水关系:综述
可以利用浓度-排水量(C-Q)关系来研究驱动集水区溶质来源、转化和迁移变化的过程。这些关系反映了在嵌套时间尺度上运行的集水和内流过程,同时包含短期和长期模式。因此,科学家可以利用集水尺度的 C-Q 数据集来识别和区分驱动集水区溶质输出模式并影响其各自 C-Q 关系形状的基本气象、生物和地质过程。我们综合了当前关于生物、地质和气象过程对各种溶质类型的 C-Q 模式的影响的知识,涵盖了从日到十年的时间尺度。我们确定了跨尺度联系以及研究人员可用于探索这些跨时间尺度相互作用的工具。最后,我们还指出了在理解 C-Q 时间动态反映流域和内流过程方面存在的知识差距。我们还为开发一种综合方法奠定了基础,以研究 C-Q 时间动态关系中的跨尺度联系,反映集水区生物地球化学过程和环境变化对水质的影响。
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