Simulating bioclogging effects on dynamic riverbed permeability and infiltration

Newcomer, Michelle E.; Hubbard, Susan S.; Fleckenstein, Jan H.; Maier, Ulrich; Schmidt, Christian; Thullner, Martin; Ulrich, Craig; Flipo, Nicolas; Rubin, Yoram

doi:10.1002/2015WR018351

Title: Simulating bioclogging effects on dynamic riverbed permeability and infiltration

Journal Article · Fri Mar 18 00:00:00 EDT 2016 · Water Resources Research

DOI:https://doi.org/10.1002/2015WR018351· OSTI ID:1456935

Newcomer, Michelle E. ^[1]; Hubbard, Susan S. ^[2]; Fleckenstein, Jan H. ^[3]; Maier, Ulrich ^[3]; Schmidt, Christian ^[3]; Thullner, Martin ^[4]; Ulrich, Craig ^[2]; Flipo, Nicolas ^[5]; Rubin, Yoram ^[6]

Univ. of California, Berkeley, CA (United States). Dept. of Civil and Environmental Engineering; UFZ-Helmholtz Centre for Environmental Research, Leipzig (Germany). Dept. of Hydrogeology
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Earth Sciences Division
UFZ-Helmholtz Centre for Environmental Research, Leipzig (Germany). Dept. of Hydrogeology
UFZ-Helmholtz Centre for Environmental Research, Leipzig (Germany). Dept. of Environmental Microbiology
MINES ParisTech, Paris (France). Geosciences Dept.
Univ. of California, Berkeley, CA (United States). Dept. of Civil and Environmental Engineering

Bioclogging in rivers can detrimentally impact aquifer recharge. This is particularly so in dry regions, where losing rivers are common, and where disconnection between surface water and groundwater (leading to the development of an unsaturated zone) can occur. Reduction in riverbed permeability due to biomass growth is a time-variable parameter that is often neglected, yet permeability reduction from bioclogging can introduce order of magnitude changes in seepage fluxes from rivers over short (i.e., monthly) timescales. To address the combined effects of bioclogging and disconnection on infiltration, we developed in this paper numerical representations of bioclogging processes within a one-dimensional, variably saturated flow model representing losing-connected and losing-disconnected rivers. We tested these formulations using a synthetic case study informed with biological data obtained from the Russian River, California, USA. Our findings show that modeled biomass growth reduced seepage for losing-connected and losing-disconnected rivers. However, for rivers undergoing disconnection, infiltration declines occurred only after the system was fully disconnected. Before full disconnection, biologically induced permeability declines were not significant enough to offset the infiltration gains introduced by disconnection. The two effects combine to lead to a characteristic infiltration curve where peak infiltration magnitude and timing is controlled by permeability declines relative to hydraulic gradient gains. Biomass growth was found to hasten the onset of full disconnection; a condition we term ‘effective disconnection’. Finally, our results show that river infiltration can respond dynamically to bioclogging and subsequent permeability declines that are highly dependent on river connection status.

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Research Organization:: Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)

Sponsoring Organization:: USDOE Office of Science (SC), Biological and Environmental Research (BER); Univ. of California (United States); Sonoma County Water Agency (SCWA) (United States); UFZ-Helmholtz Centre for Environmental Research (Germany)

Grant/Contract Number:: AC02-05CH11231

OSTI ID:: 1456935

Journal Information:: Water Resources Research, Vol. 52, Issue 4; ISSN 0043-1397

Publisher:: American Geophysical Union (AGU)Copyright Statement

Country of Publication:: United States

Language:: English

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58 GEOSCIENCES
59 BASIC BIOLOGICAL SCIENCES
bioclogging
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heterotrophic bacteria
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Title: Simulating bioclogging effects on dynamic riverbed permeability and infiltration

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