GSTDTAP  > 资源环境科学
DOI10.1029/2020WR029442
Spatial and Temporal Variability in Concentration-Discharge Relationships at the Event Scale
A. Musolff; Q. Zhan; R. Dupas; C. Minaudo; J. H. Fleckenstein; M. Rode; J. Dehaspe; K. Rinke
2021-09-29
发表期刊Water Resources Research
出版年2021
英文摘要

The analysis of concentration-discharge (C-Q) relationships from low-frequency observations is commonly used to assess solute sources, mobilization, and reactive transport processes at the catchment scale. High-frequency concentration measurements are increasingly available and offer additional insights into event-scale export dynamics. However, only few studies have integrated inter-annual and event-scale C-Q relationships. Here, we analyze high-frequency measurements of specific conductance (EC), nitrate (NO3-N) concentrations and spectral absorbance at 254 nm (SAC254, as a proxy for dissolved organic carbon) over a two year period for four neighboring catchments in Germany ranging from more pristine forested to agriculturally managed settings. We apply an integrated method that adds a hysteresis term to the established power law C-Q model so that concentration intercept, C-Q slope and hysteresis can be characterized simultaneously. We found that inter-event variability in C-Q hysteresis and slope were most pronounced for SAC254 in all catchments and for NO3-N in forested catchments. SAC254 and NO3-N event responses in the smallest forested catchment were closely coupled and explainable by antecedent conditions that hint to a common near-stream source. In contrast, the event-scale C-Q patterns of EC in all catchments and of NO3-N in the agricultural catchment without buffer zones around streams were less variable and similar to the inter-annual C-Q relationship indicating a homogeneity of mobilization processes over time. Event-scale C-Q analysis thus added key insights into catchment functioning whenever the inter-annual C-Q relationship contrasted with event-scale responses. Analyzing long-term and event-scale behavior in one coherent framework helps to disentangle these scattered C-Q patterns.

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文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/338777
专题资源环境科学
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A. Musolff,Q. Zhan,R. Dupas,et al. Spatial and Temporal Variability in Concentration-Discharge Relationships at the Event Scale[J]. Water Resources Research,2021.
APA A. Musolff.,Q. Zhan.,R. Dupas.,C. Minaudo.,J. H. Fleckenstein.,...&K. Rinke.(2021).Spatial and Temporal Variability in Concentration-Discharge Relationships at the Event Scale.Water Resources Research.
MLA A. Musolff,et al."Spatial and Temporal Variability in Concentration-Discharge Relationships at the Event Scale".Water Resources Research (2021).
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