Covariation in patterns of turbulence-driven hyporheic flow and denitrification enhances reach-scale nitrogen removal

Angang Li, Antoine F. Aubeneau, Diogo Bolster, Jennifer L. Tank, Aaron I. Packman*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

30 Scopus citations

Abstract

Coinjections of conservative tracers and nutrients are commonly used to assess travel time distributions and nutrient removal in streams. However, in-stream tracer data often lack information on long-term hyporheic storage, and removal rate coefficients are often assumed to be uniform despite plentiful evidence that microbially mediated transformations, such as denitrification, exhibit strong spatial variability in the hyporheic zone. We used process-based particle-tracking simulations to explore the coupled effects of spatial patterns in hyporheic flow and denitrification on reach-scale nitrogen removal. We simulated whole-stream nitrogen dynamics with exponential, layered, and uniform profiles of hyporheic denitrification. We also simulated nitrogen dynamics in Little Rabbit Creek, an agricultural headwater stream in the Kalamazoo River Basin (Michigan, USA) where vertical profiles of hyporheic denitrification were measured in situ. Covariation between pore water velocity and mixing causes rapid exchange in the near-surface bioactive region and substantially prolonged exchange in the deeper hyporheic. Patterns of hyporheic denitrification covary with patterns of hyporheic flow. This covariation directly controls tailing of in-stream breakthrough curves and hence reach-scale nutrient removal. Enhanced denitrification near the sediment-water interface strongly tempers breakthrough curve tails at time scales associated with flushing of the near-surface region, while more spatially uniform denitrification causes weaker tempering over a wider range of hyporheic exchange time scales. At the reach scale, overall nitrogen removal increases with heterogeneity of hyporheic denitrification, indicating that covariation between flow and denitrification—particularly the rapid flushing of highly bioactive regions near the sediment-water interface—controls whole-stream transformation rates.

Original languageEnglish (US)
Pages (from-to)6927-6944
Number of pages18
JournalWater Resources Research
Volume53
Issue number8
DOIs
StatePublished - Aug 2017
Externally publishedYes

Funding

We thank Clay Arango and Sarah Inwood for providing field data on denitrification in Little Rabbit Creek. This work was supported by NSF grants EAR-1215898, EAR-1344280, EAR-1351625, EAR-1417264, and EAR- 1446236 and the Department of the Army, U.S. Army Research Office grant W911NF-15-1-0569. The content of the information does not necessarily reflect the position or the policy of the federal government, and no official endorsement should be inferred. This research was supported in part through the computational resources and staff contributions provided for the Quest high performance computing facility at Northwestern University which is jointly supported by the Office of the Provost, the Office for Research, and Northwestern University Information Technology. The data used are listed in the supporting information and references.

Keywords

  • denitrification
  • hyporheic exchange
  • nutrient dynamics
  • stochastic modeling

ASJC Scopus subject areas

  • Water Science and Technology

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