Identifying geochemical hot moments and their controls on a contaminated river floodplain system using wavelet and entropy approaches
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- 作者：Bhavna Arora ; barora@lbl.gov" class="auth_mail" title="E-mail the corresponding author ; Dipankar Dwivedi ; Susan S. Hubbard ; Carl I. Steefel ; Kenneth H. Williams
- 关键词：Wavelet analysis ; Temporal variability ; Biogeochemical processes ; Field data
- 刊名：Environmental Modelling & Software
- 出版年：2016
- 出版时间：November 2016
- 年：2016
- 卷：85
- 期：Complete
- 页码：27-41
- 全文大小：5345 K
文摘
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We interrogated complex, multivariate geochemical datasets to identify hot moments in a floodplain environment.
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We introduced a novel wavelet-entropy approach to classify hot moments and their distribution.
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Geochemical hot moments were found to be primarily transport-related/hydrologically-driven at the site.
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Within a naturally reduced zone, hot moments were dominated by lithologic characteristics (biogeochemically-driven).
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Water quality managers can use this wavelet-entropy tool for identifying contaminant hot moments in other floodplain settings.