ArticleJournal of the American Water Resources Association2019
How Hydrologic Connectivity Regulates Water Quality in River Corridors.
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Article in Journal of the American Water Resources Association, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7citing papers in PubMed
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7 citing papers in PubMed.
- Waterbody connectivity: Linking science and policy for improved waterbody protection.Bioscience · 2025Article
- Homogenization of Functional Diversity of Rotifer Communities in Relation to Eutrophication in an Urban River of North China.Biology · 2023Article
- Linking hydraulic geometry, land use, and stream water quality in the Taihu Basin, China.Environmental monitoring and assessment · 2021Article
- Water quality assessment and pollution source apportionment in a highly regulated river of Northeast China.Environmental monitoring and assessment · 2020Article
- Watershed geomorphology modifies the sensitivity of aquatic ecosystem metabolism to temperature.Scientific reports · 2019Article
- Floodplain inundation spectrum across the United States.Nature communications · 2019Article
- Modeling Connectivity of Non-floodplain Wetlands: Insights, Approaches, and Recommendations.Journal of the American Water Resources Association · 2019Article
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Authors and funding
15 authors.
Jud HarveyEarth Surface Processes Division (Harvey, Schmadel, Choi), and Integrated Modeling and Prediction Division (Alexander, Eng, Schwarz), U.S. Geological Survey, Reston, Virginia, USA; Civil and Environmental Engineering (Gomez-Velez), Vanderbilt University, Nashville, Tennessee, USA; Department of Biological Systems Engineering (Scott), Virginia Tech, Blacksburg, Virginia, USA; Department of Ecosystem Science and Management (Boyer), Pennsylvania State University, State College, Pennsylvania, USA; Office of Research and Development (Golden), U.S. Environmental Protection Agency, Cincinnati, Ohio, USA; Institute of Arctic and Alpine Research (Kettner), University of Colorado, Boulder, Colorado, USA; Washington Water Science Center (Konrad), U.S. Geological Survey, Tacoma, Washington, USA; New England Water Science Center (Moore), U.S. Geological Survey, Pembroke, New Hampshire, USA; College of Earth, Ocean, and the Environment (Pizzuto), University of Delaware, Newark, Delaware, USA; and School of Geosciences (Soulsby), University of Aberdeen, Aberdeen, Scotland, GRB.ORCID 0000-0002-2654-9873
Jesus Gomez-VelezEarth Surface Processes Division (Harvey, Schmadel, Choi), and Integrated Modeling and Prediction Division (Alexander, Eng, Schwarz), U.S. Geological Survey, Reston, Virginia, USA; Civil and Environmental Engineering (Gomez-Velez), Vanderbilt University, Nashville, Tennessee, USA; Department of Biological Systems Engineering (Scott), Virginia Tech, Blacksburg, Virginia, USA; Department of Ecosystem Science and Management (Boyer), Pennsylvania State University, State College, Pennsylvania, USA; Office of Research and Development (Golden), U.S. Environmental Protection Agency, Cincinnati, Ohio, USA; Institute of Arctic and Alpine Research (Kettner), University of Colorado, Boulder, Colorado, USA; Washington Water Science Center (Konrad), U.S. Geological Survey, Tacoma, Washington, USA; New England Water Science Center (Moore), U.S. Geological Survey, Pembroke, New Hampshire, USA; College of Earth, Ocean, and the Environment (Pizzuto), University of Delaware, Newark, Delaware, USA; and School of Geosciences (Soulsby), University of Aberdeen, Aberdeen, Scotland, GRB.ORCID 0000-0001-8045-5926
Noah SchmadelEarth Surface Processes Division (Harvey, Schmadel, Choi), and Integrated Modeling and Prediction Division (Alexander, Eng, Schwarz), U.S. Geological Survey, Reston, Virginia, USA; Civil and Environmental Engineering (Gomez-Velez), Vanderbilt University, Nashville, Tennessee, USA; Department of Biological Systems Engineering (Scott), Virginia Tech, Blacksburg, Virginia, USA; Department of Ecosystem Science and Management (Boyer), Pennsylvania State University, State College, Pennsylvania, USA; Office of Research and Development (Golden), U.S. Environmental Protection Agency, Cincinnati, Ohio, USA; Institute of Arctic and Alpine Research (Kettner), University of Colorado, Boulder, Colorado, USA; Washington Water Science Center (Konrad), U.S. Geological Survey, Tacoma, Washington, USA; New England Water Science Center (Moore), U.S. Geological Survey, Pembroke, New Hampshire, USA; College of Earth, Ocean, and the Environment (Pizzuto), University of Delaware, Newark, Delaware, USA; and School of Geosciences (Soulsby), University of Aberdeen, Aberdeen, Scotland, GRB.ORCID 0000-0002-2046-1694
Durelle ScottEarth Surface Processes Division (Harvey, Schmadel, Choi), and Integrated Modeling and Prediction Division (Alexander, Eng, Schwarz), U.S. Geological Survey, Reston, Virginia, USA; Civil and Environmental Engineering (Gomez-Velez), Vanderbilt University, Nashville, Tennessee, USA; Department of Biological Systems Engineering (Scott), Virginia Tech, Blacksburg, Virginia, USA; Department of Ecosystem Science and Management (Boyer), Pennsylvania State University, State College, Pennsylvania, USA; Office of Research and Development (Golden), U.S. Environmental Protection Agency, Cincinnati, Ohio, USA; Institute of Arctic and Alpine Research (Kettner), University of Colorado, Boulder, Colorado, USA; Washington Water Science Center (Konrad), U.S. Geological Survey, Tacoma, Washington, USA; New England Water Science Center (Moore), U.S. Geological Survey, Pembroke, New Hampshire, USA; College of Earth, Ocean, and the Environment (Pizzuto), University of Delaware, Newark, Delaware, USA; and School of Geosciences (Soulsby), University of Aberdeen, Aberdeen, Scotland, GRB.ORCID 0000-0002-5792-789X
Elizabeth BoyerEarth Surface Processes Division (Harvey, Schmadel, Choi), and Integrated Modeling and Prediction Division (Alexander, Eng, Schwarz), U.S. Geological Survey, Reston, Virginia, USA; Civil and Environmental Engineering (Gomez-Velez), Vanderbilt University, Nashville, Tennessee, USA; Department of Biological Systems Engineering (Scott), Virginia Tech, Blacksburg, Virginia, USA; Department of Ecosystem Science and Management (Boyer), Pennsylvania State University, State College, Pennsylvania, USA; Office of Research and Development (Golden), U.S. Environmental Protection Agency, Cincinnati, Ohio, USA; Institute of Arctic and Alpine Research (Kettner), University of Colorado, Boulder, Colorado, USA; Washington Water Science Center (Konrad), U.S. Geological Survey, Tacoma, Washington, USA; New England Water Science Center (Moore), U.S. Geological Survey, Pembroke, New Hampshire, USA; College of Earth, Ocean, and the Environment (Pizzuto), University of Delaware, Newark, Delaware, USA; and School of Geosciences (Soulsby), University of Aberdeen, Aberdeen, Scotland, GRB.ORCID 0000-0003-4369-4201
Richard AlexanderEarth Surface Processes Division (Harvey, Schmadel, Choi), and Integrated Modeling and Prediction Division (Alexander, Eng, Schwarz), U.S. Geological Survey, Reston, Virginia, USA; Civil and Environmental Engineering (Gomez-Velez), Vanderbilt University, Nashville, Tennessee, USA; Department of Biological Systems Engineering (Scott), Virginia Tech, Blacksburg, Virginia, USA; Department of Ecosystem Science and Management (Boyer), Pennsylvania State University, State College, Pennsylvania, USA; Office of Research and Development (Golden), U.S. Environmental Protection Agency, Cincinnati, Ohio, USA; Institute of Arctic and Alpine Research (Kettner), University of Colorado, Boulder, Colorado, USA; Washington Water Science Center (Konrad), U.S. Geological Survey, Tacoma, Washington, USA; New England Water Science Center (Moore), U.S. Geological Survey, Pembroke, New Hampshire, USA; College of Earth, Ocean, and the Environment (Pizzuto), University of Delaware, Newark, Delaware, USA; and School of Geosciences (Soulsby), University of Aberdeen, Aberdeen, Scotland, GRB.ORCID 0000-0001-9166-0626
Ken EngEarth Surface Processes Division (Harvey, Schmadel, Choi), and Integrated Modeling and Prediction Division (Alexander, Eng, Schwarz), U.S. Geological Survey, Reston, Virginia, USA; Civil and Environmental Engineering (Gomez-Velez), Vanderbilt University, Nashville, Tennessee, USA; Department of Biological Systems Engineering (Scott), Virginia Tech, Blacksburg, Virginia, USA; Department of Ecosystem Science and Management (Boyer), Pennsylvania State University, State College, Pennsylvania, USA; Office of Research and Development (Golden), U.S. Environmental Protection Agency, Cincinnati, Ohio, USA; Institute of Arctic and Alpine Research (Kettner), University of Colorado, Boulder, Colorado, USA; Washington Water Science Center (Konrad), U.S. Geological Survey, Tacoma, Washington, USA; New England Water Science Center (Moore), U.S. Geological Survey, Pembroke, New Hampshire, USA; College of Earth, Ocean, and the Environment (Pizzuto), University of Delaware, Newark, Delaware, USA; and School of Geosciences (Soulsby), University of Aberdeen, Aberdeen, Scotland, GRB.ORCID 0000-0001-6838-5849
Heather GoldenEarth Surface Processes Division (Harvey, Schmadel, Choi), and Integrated Modeling and Prediction Division (Alexander, Eng, Schwarz), U.S. Geological Survey, Reston, Virginia, USA; Civil and Environmental Engineering (Gomez-Velez), Vanderbilt University, Nashville, Tennessee, USA; Department of Biological Systems Engineering (Scott), Virginia Tech, Blacksburg, Virginia, USA; Department of Ecosystem Science and Management (Boyer), Pennsylvania State University, State College, Pennsylvania, USA; Office of Research and Development (Golden), U.S. Environmental Protection Agency, Cincinnati, Ohio, USA; Institute of Arctic and Alpine Research (Kettner), University of Colorado, Boulder, Colorado, USA; Washington Water Science Center (Konrad), U.S. Geological Survey, Tacoma, Washington, USA; New England Water Science Center (Moore), U.S. Geological Survey, Pembroke, New Hampshire, USA; College of Earth, Ocean, and the Environment (Pizzuto), University of Delaware, Newark, Delaware, USA; and School of Geosciences (Soulsby), University of Aberdeen, Aberdeen, Scotland, GRB.ORCID 0000-0001-5501-9444
Albert KettnerEarth Surface Processes Division (Harvey, Schmadel, Choi), and Integrated Modeling and Prediction Division (Alexander, Eng, Schwarz), U.S. Geological Survey, Reston, Virginia, USA; Civil and Environmental Engineering (Gomez-Velez), Vanderbilt University, Nashville, Tennessee, USA; Department of Biological Systems Engineering (Scott), Virginia Tech, Blacksburg, Virginia, USA; Department of Ecosystem Science and Management (Boyer), Pennsylvania State University, State College, Pennsylvania, USA; Office of Research and Development (Golden), U.S. Environmental Protection Agency, Cincinnati, Ohio, USA; Institute of Arctic and Alpine Research (Kettner), University of Colorado, Boulder, Colorado, USA; Washington Water Science Center (Konrad), U.S. Geological Survey, Tacoma, Washington, USA; New England Water Science Center (Moore), U.S. Geological Survey, Pembroke, New Hampshire, USA; College of Earth, Ocean, and the Environment (Pizzuto), University of Delaware, Newark, Delaware, USA; and School of Geosciences (Soulsby), University of Aberdeen, Aberdeen, Scotland, GRB.ORCID 0000-0002-7191-6521
Chris KonradEarth Surface Processes Division (Harvey, Schmadel, Choi), and Integrated Modeling and Prediction Division (Alexander, Eng, Schwarz), U.S. Geological Survey, Reston, Virginia, USA; Civil and Environmental Engineering (Gomez-Velez), Vanderbilt University, Nashville, Tennessee, USA; Department of Biological Systems Engineering (Scott), Virginia Tech, Blacksburg, Virginia, USA; Department of Ecosystem Science and Management (Boyer), Pennsylvania State University, State College, Pennsylvania, USA; Office of Research and Development (Golden), U.S. Environmental Protection Agency, Cincinnati, Ohio, USA; Institute of Arctic and Alpine Research (Kettner), University of Colorado, Boulder, Colorado, USA; Washington Water Science Center (Konrad), U.S. Geological Survey, Tacoma, Washington, USA; New England Water Science Center (Moore), U.S. Geological Survey, Pembroke, New Hampshire, USA; College of Earth, Ocean, and the Environment (Pizzuto), University of Delaware, Newark, Delaware, USA; and School of Geosciences (Soulsby), University of Aberdeen, Aberdeen, Scotland, GRB.ORCID 0000-0002-7354-547X
Richard MooreEarth Surface Processes Division (Harvey, Schmadel, Choi), and Integrated Modeling and Prediction Division (Alexander, Eng, Schwarz), U.S. Geological Survey, Reston, Virginia, USA; Civil and Environmental Engineering (Gomez-Velez), Vanderbilt University, Nashville, Tennessee, USA; Department of Biological Systems Engineering (Scott), Virginia Tech, Blacksburg, Virginia, USA; Department of Ecosystem Science and Management (Boyer), Pennsylvania State University, State College, Pennsylvania, USA; Office of Research and Development (Golden), U.S. Environmental Protection Agency, Cincinnati, Ohio, USA; Institute of Arctic and Alpine Research (Kettner), University of Colorado, Boulder, Colorado, USA; Washington Water Science Center (Konrad), U.S. Geological Survey, Tacoma, Washington, USA; New England Water Science Center (Moore), U.S. Geological Survey, Pembroke, New Hampshire, USA; College of Earth, Ocean, and the Environment (Pizzuto), University of Delaware, Newark, Delaware, USA; and School of Geosciences (Soulsby), University of Aberdeen, Aberdeen, Scotland, GRB.ORCID 0000-0001-9066-3171
Jim PizzutoEarth Surface Processes Division (Harvey, Schmadel, Choi), and Integrated Modeling and Prediction Division (Alexander, Eng, Schwarz), U.S. Geological Survey, Reston, Virginia, USA; Civil and Environmental Engineering (Gomez-Velez), Vanderbilt University, Nashville, Tennessee, USA; Department of Biological Systems Engineering (Scott), Virginia Tech, Blacksburg, Virginia, USA; Department of Ecosystem Science and Management (Boyer), Pennsylvania State University, State College, Pennsylvania, USA; Office of Research and Development (Golden), U.S. Environmental Protection Agency, Cincinnati, Ohio, USA; Institute of Arctic and Alpine Research (Kettner), University of Colorado, Boulder, Colorado, USA; Washington Water Science Center (Konrad), U.S. Geological Survey, Tacoma, Washington, USA; New England Water Science Center (Moore), U.S. Geological Survey, Pembroke, New Hampshire, USA; College of Earth, Ocean, and the Environment (Pizzuto), University of Delaware, Newark, Delaware, USA; and School of Geosciences (Soulsby), University of Aberdeen, Aberdeen, Scotland, GRB.ORCID 0000-0002-7978-7322
Greg SchwarzEarth Surface Processes Division (Harvey, Schmadel, Choi), and Integrated Modeling and Prediction Division (Alexander, Eng, Schwarz), U.S. Geological Survey, Reston, Virginia, USA; Civil and Environmental Engineering (Gomez-Velez), Vanderbilt University, Nashville, Tennessee, USA; Department of Biological Systems Engineering (Scott), Virginia Tech, Blacksburg, Virginia, USA; Department of Ecosystem Science and Management (Boyer), Pennsylvania State University, State College, Pennsylvania, USA; Office of Research and Development (Golden), U.S. Environmental Protection Agency, Cincinnati, Ohio, USA; Institute of Arctic and Alpine Research (Kettner), University of Colorado, Boulder, Colorado, USA; Washington Water Science Center (Konrad), U.S. Geological Survey, Tacoma, Washington, USA; New England Water Science Center (Moore), U.S. Geological Survey, Pembroke, New Hampshire, USA; College of Earth, Ocean, and the Environment (Pizzuto), University of Delaware, Newark, Delaware, USA; and School of Geosciences (Soulsby), University of Aberdeen, Aberdeen, Scotland, GRB.ORCID 0000-0002-9239-4566
Chris SoulsbyEarth Surface Processes Division (Harvey, Schmadel, Choi), and Integrated Modeling and Prediction Division (Alexander, Eng, Schwarz), U.S. Geological Survey, Reston, Virginia, USA; Civil and Environmental Engineering (Gomez-Velez), Vanderbilt University, Nashville, Tennessee, USA; Department of Biological Systems Engineering (Scott), Virginia Tech, Blacksburg, Virginia, USA; Department of Ecosystem Science and Management (Boyer), Pennsylvania State University, State College, Pennsylvania, USA; Office of Research and Development (Golden), U.S. Environmental Protection Agency, Cincinnati, Ohio, USA; Institute of Arctic and Alpine Research (Kettner), University of Colorado, Boulder, Colorado, USA; Washington Water Science Center (Konrad), U.S. Geological Survey, Tacoma, Washington, USA; New England Water Science Center (Moore), U.S. Geological Survey, Pembroke, New Hampshire, USA; College of Earth, Ocean, and the Environment (Pizzuto), University of Delaware, Newark, Delaware, USA; and School of Geosciences (Soulsby), University of Aberdeen, Aberdeen, Scotland, GRB.ORCID 0000-0001-6910-2118
Jay ChoiEarth Surface Processes Division (Harvey, Schmadel, Choi), and Integrated Modeling and Prediction Division (Alexander, Eng, Schwarz), U.S. Geological Survey, Reston, Virginia, USA; Civil and Environmental Engineering (Gomez-Velez), Vanderbilt University, Nashville, Tennessee, USA; Department of Biological Systems Engineering (Scott), Virginia Tech, Blacksburg, Virginia, USA; Department of Ecosystem Science and Management (Boyer), Pennsylvania State University, State College, Pennsylvania, USA; Office of Research and Development (Golden), U.S. Environmental Protection Agency, Cincinnati, Ohio, USA; Institute of Arctic and Alpine Research (Kettner), University of Colorado, Boulder, Colorado, USA; Washington Water Science Center (Konrad), U.S. Geological Survey, Tacoma, Washington, USA; New England Water Science Center (Moore), U.S. Geological Survey, Pembroke, New Hampshire, USA; College of Earth, Ocean, and the Environment (Pizzuto), University of Delaware, Newark, Delaware, USA; and School of Geosciences (Soulsby), University of Aberdeen, Aberdeen, Scotland, GRB.ORCID 0000-0003-1276-481X
Funding
Intramural EPA EPA999999
Abstract
Downstream flow in rivers is repeatedly delayed by hydrologic exchange with off-channel storage zones where biogeochemical processing occurs. We present a dimensionless metric that quantifies river connectivity as the balance between downstream flow and the exchange of water with the bed, banks, and floodplains. The degree of connectivity directly influences downstream water quality - too little connectivity limits the amount of river water exchanged and leads to biogeochemically inactive water storage, while too much connectivity limits the contact time with sediments for reactions to proceed. Using a metric of reaction significance based on river connectivity, we provide 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. Intermediate connectivity balances the frequency, residence time, and contact volume with reactive sediments, which can maximize the reactive processing of dissolved contaminants and the protection of downstream water quality. Our simulations suggest denitrification dominantly occurs in riverbed hyporheic zones of streams and small rivers, whereas vertical turbulent mixing in contact with sediments dominates in mid-size to large rivers. The metrics of connectivity and reaction significance presented here can facilitate scientifically based prioritizations of river management strategies to protect the values and functions of river corridors.
Indexed as
Clean Water Rulehydrologic connectivityhyporheic flowriver corridor
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