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Noah M. Schmadel
Researcher at United States Geological Survey
Publications - 44
Citations - 847
Noah M. Schmadel is an academic researcher from United States Geological Survey. The author has contributed to research in topics: Groundwater & Surface water. The author has an hindex of 15, co-authored 44 publications receiving 557 citations. Previous affiliations of Noah M. Schmadel include Utah State University & Indiana University.
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Impacts of beaver dams on hydrologic and temperature regimes in a mountain stream
TL;DR: This article explored the impacts of beaver dams on hydrologic and temperature regimes at different spatial and temporal scales within a mountain stream in northern Utah over a 3-year period spanning pre-and post-beaver colonization.
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Simulation of dynamic expansion, contraction, and connectivity in a mountain stream network
TL;DR: In this paper, the authors developed a perceptual model of the river corridor in a headwater mountainous catchment, translate this into a reduced-complexity mechanistic model, and implement the model to examine connectivity and network extent over an entire water year.
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How hydrologic connectivity regulates water quality in river corridors
Judson W. Harvey,Jesus D. Gomez-Velez,Noah M. Schmadel,Durelle T. Scott,Elizabeth W. Boyer,Richard B. Alexander,Ken Eng,Heather E. Golden,Albert J. Kettner,Christopher P. Konrad,Richard B. Moore,J. E. Pizzuto,Gregory E. Schwarz,Chris Soulsby,Jay Choi +14 more
TL;DR: Using a metric of reaction significance based on river connectivity, this work provides evidence that intermediate levels of connectivity, rather than the highest or lowest levels, are the most efficient in removing nitrogen from Northeastern United States' rivers.
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Hyporheic exchange controlled by dynamic hydrologic boundary conditions
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Thresholds of lake and reservoir connectivity in river networks control nitrogen removal.
Noah M. Schmadel,Judson W. Harvey,Richard B. Alexander,Gregory E. Schwarz,Richard B. Moore,Ken Eng,Jesus D. Gomez-Velez,Elizabeth W. Boyer,Durelle T. Scott +8 more
TL;DR: Thresholds in pond density where ponding waters become important features to regional nitrogen removal are identified and shown to vary according to a ponded waters’ relative size, network position, and degree of connectivity to the river network, which suggests worldwide importance of these new metrics.