Event-scale hysteresis metrics to reveal processes and mechanisms controlling constituent export from watersheds: a review
- 影响因子：9.13
- DOI码：10.1016/j.watres.2021.117254
- 发表刊物：Water Research
- 关键字：C-Q relationshiphysteresishigh-frequency measurementsnitratewatershedsstatistical analyses
- 摘要：Due to the increased availability of high-frequency measurements of stream chemistry provided by in situ sensors, researchers have gained more access to the relationships between stream discharge and constituent concentrations (C-Q relationships) at event-scales. Existing studies reveal that event-scale C-Q relationships are mostly non-linear and exhibit temporal lags between peaks of hydrographs and chemographs, resulting in apparent hysteresis effects. In this paper, we summarize and introduce the tools and methods in hysteresis analysis, especially the history and progresses of the development of metrics to quantify hysteresis patterns. In addition, this paper provides a typical workflow to conduct event-scale hysteresis analysis, such as how to obtain the access to high-frequency measurements, existing methods to delineate storm events, approaches to classify and quantify hysteresis patterns, possible features/properties controlling hysteresis patterns, statistical methods to identify features at play, and strategies to deliver the inferences from hysteresis analysis. Lastly, we discuss some potential limitations that arise in the workflow and possible future work to address the challenges, including the development of advanced quantitative hysteresis metrics, generalized and standardized tools to delineate events and the integration of hysteresis analysis with numerical modeling. This paper aims to provide a critical overview of technical approaches for hysteresis analysis for researchers and hopefully foster their interests to advance our understanding of complex mechanisms in event-scale hydro-biogeochemical processes.
- 合写作者：François Birgand,Shiying Tian,Cheng Chen
- 第一作者：Wenlong Liu
- 论文类型：journalArticle
- 学科门类：工学
- 一级学科：水利工程
- 文献类型：journalArticle
- 是否译文：否
- 发表时间：2021-05-16
- 收录刊物：SCI
- 发布期刊链接：https://www.sciencedirect.com/science/article/pii/S0043135421004528?via%3Dihub#keys0001
