Ion Clusters Reveal the Sources, Impacts, and Drivers of Freshwater Salinization

Population growth, land use change, climate change, and natural resource extraction are driving the salinization of freshwater resources worldwide. Reversing these trends will require data-centric approaches that identify salt sources, environmental drivers, and ecosystem responses. In this study, we applied principal component analysis and hierarchical clustering to identify ion covariance patterns, or "ion clusters," in Broad Run, an urban stream in the Mid-Atlantic United States. These clusters correspond to distinct hydrologic regimes and reveal specific salinization risks: (1) phosphorus pollution mobilized during summer storms (Cluster 1); (2) elevated concentrations of sulfate and bicarbonate during baseflow (Cluster 2), likely reflecting groundwater discharge; and (3) elevated specific conductance and sodium, chloride, and potassium ion concentrations during snowmelt and rain-on-snow events (Cluster 3), driven by deicer and anti-icer wash-off. These ion fingerprints offer a transferable framework for diagnosing salt sources, assessing ecological risk, and identifying management targets. Our findings underscore the need for next-generation stormwater infrastructure and smart growth policies to protect aquatic life in rapidly urbanizing watersheds.

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Publication Details

Journal
Environmental Science & Technology
Published
2025-06-16
DOI
https://doi.org/10.1021/acs.est.5c04512
Citations
3
Primary Topic
Smart Materials for Construction
Type
article
Field-Weighted Citation Impact
1.51

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article

Ion Clusters Reveal the Sources, Impacts, and Drivers of Freshwater Salinization

Ahmed Monofy, Admin Husic, Christina C. Davis, Diver E. Marín et al.
3 citations
Environmental Science & Technology
Smart Materials for Construction
1.51
article

Ion Clusters Reveal the Sources, Impacts, and Drivers of Freshwater Salinization

Ahmed Monofy, Admin Husic, Christina C. Davis, Diver E. Marín, Shantanu V. Bhide, Bradley W. Schmitz, Sydney Shelton, Robert N. Brent, Harold Post, Shalini Misra, Megan A. Rippy, Stanley B. Grant, Peter J. Vikesland, Sujay S. Kaushal, Erin R. Hotchkiss, J. D. Gomez‐Velez, Shannon Curtis, Dongmei Alvi
article en
3 citations

Abstract

Population growth, land use change, climate change, and natural resource extraction are driving the salinization of freshwater resources worldwide. Reversing these trends will require data-centric approaches that identify salt sources, environmental drivers, and ecosystem responses. In this study, we applied principal component analysis and hierarchical clustering to identify ion covariance patterns, or "ion clusters," in Broad Run, an urban stream in the Mid-Atlantic United States. These clusters correspond to distinct hydrologic regimes and reveal specific salinization risks: (1) phosphorus pollution mobilized during summer storms (Cluster 1); (2) elevated concentrations of sulfate and bicarbonate during baseflow (Cluster 2), likely reflecting groundwater discharge; and (3) elevated specific conductance and sodium, chloride, and potassium ion concentrations during snowmelt and rain-on-snow events (Cluster 3), driven by deicer and anti-icer wash-off. These ion fingerprints offer a transferable framework for diagnosing salt sources, assessing ecological risk, and identifying management targets. Our findings underscore the need for next-generation stormwater infrastructure and smart growth policies to protect aquatic life in rapidly urbanizing watersheds.

Environmental Science & TechnologyVol. 59(27)
James Madison University (US), Oak Ridge National Laboratory (US), Inova Loudoun Hospital (US), Watershed (GB), Earth System Science Interdisciplinary Center (US), Public Works (GB), Fairfax County Public Schools (US), ADS Environmental Services (Malaysia), University of Maryland, College Park (US), Virginia Tech (US), ENVIRON (United States) (US)
National Science Foundation, Oak Ridge National Laboratory
Life below water
Openalex Percentile: Top 18%
Smart Materials for Construction
1.51
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