Identifying geochemical hot moments and their controls on a contaminated river floodplain system using wavelet and entropy approaches

Bhavna Arora, Dipankar Dwivedi, Susan S. Hubbard, Carl I. Steefel, Kenneth H. Williams

Research output: Contribution to journalArticlepeer-review

31 Scopus citations

Abstract

Geochemical hot moments are defined here as short periods of time that are associated with disproportionally high levels of concentrations (biogeochemically-driven or transport-related) relative to longer intervening time periods. We used entropy and wavelet techniques to identify temporal variability in geochemical constituents and their controls along three transects within a contaminated floodplain system near Rifle CO. Results indicated that transport-dominated hot moments drove overall geochemical processing in the contaminated groundwater and seep zones. These hot moments were associated with seasonal hydrologic variability (∼4 months) in the contaminated aquifer and with annual hydrologic cycle and residence times in the seep zone. Hot moments associated with a naturally reduced zone within the aquifer were found to be biogeochemically-driven, with a different dominant frequency (∼3 months) and no correlation to hydrologic or weather variations, in contrast to what is observed in other regions of the floodplain.

Original languageEnglish
Pages (from-to)27-41
Number of pages15
JournalEnvironmental Modelling and Software
Volume85
DOIs
StatePublished - Nov 1 2016
Externally publishedYes

Funding

This project was supported as part of the Subsurface Science Scientific Focus Area (SFA) funded by the U.S. Department of Energy, Office of Biological and Environmental Research to the Sustainable Systems SFA under award number DE-AC020SCH11231 and by the ASCEM project, which is supported by U.S. Department of Energy Environmental Management , under award number DE-AC0205CH11231 to the LBNL.

FundersFunder number
U.S. Department of Energy Environmental ManagementDE-AC0205CH11231
U.S. Department of Energy
Biological and Environmental ResearchDE-AC020SCH11231
Lawrence Berkeley National Laboratory

    Keywords

    • Biogeochemical processes
    • Field data
    • Temporal variability
    • Wavelet analysis

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