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Zachary C. Johnson

Researcher at Oak Ridge Institute for Science and Education

Publications -  20
Citations -  309

Zachary C. Johnson is an academic researcher from Oak Ridge Institute for Science and Education. The author has contributed to research in topics: Groundwater & Watershed. The author has an hindex of 8, co-authored 17 publications receiving 172 citations. Previous affiliations of Zachary C. Johnson include University of Nevada, Reno & United States Geological Survey.

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Continental-scale analysis of shallow and deep groundwater contributions to streams.

TL;DR: In this paper, the authors pair multi-year air and stream temperature signals to categorize 1729 sites across the continental United States as having major dam influence, shallow or deep groundwater signatures, or lack of pronounced groundwater (atmospheric) signatures.
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Inferring watershed hydraulics and cold-water habitat persistence using multi-year air and stream temperature signals.

TL;DR: This study uses multi-year temperature records from 120 stream sites located across 18 mountain watersheds of Shenandoah National Park and a coastal watershed in Massachusetts to develop paired air and stream water annual temperature signal analysis techniques to elucidate the relative groundwater contribution to stream water and the effective groundwater flowpath depth.
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Mapping watershed integrity for the conterminous United States.

TL;DR: The IWI or ICI are the best predictors of the water quality PC for the CONUS and six of the nine ecoregions, but they only perform marginally better than agriculture in most instances.
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Shallow bedrock limits groundwater seepage-based headwater climate refugia

TL;DR: In this article, the authors employed rapid, cost-effective passive seismic measurements to evaluate the variable thickness of the shallow colluvial and alluvial aquifer sediments along a headwater stream supporting cold water-dependent brook trout (Salvelinus fontinalis ).
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Paired air-water annual temperature patterns reveal hydrogeological controls on stream thermal regimes at watershed to continental scales

TL;DR: In this paper, the authors investigated multi-scale variability in annual paired air-water temperature patterns using sine-wave linear regressions of multi-year daily temperature data from streams of various sizes.