Developing Sensor Proxies for “Chemical Cocktails” of Trace Metals in Urban Streams

dc.contributor.authorMorel, Carol J.
dc.contributor.authorKaushal, Sujay S.
dc.contributor.authorTan, Maggie L.
dc.contributor.authorBelt, Kenneth T.
dc.date.accessioned2020-11-19T18:38:01Z
dc.date.available2020-11-19T18:38:01Z
dc.date.issued2020-10-14
dc.description.abstractUnderstanding transport mechanisms and temporal patterns in the context of metal concentrations in urban streams is important for developing best management practices and restoration strategies to improve water quality. In some cases, in-situ sensors can be used to estimate unknown concentrations of trace metals or to interpolate between sampling events. Continuous sensor data from the United States Geological Survey were analyzed to determine statistically significant relationships between lead, copper, zinc, cadmium, and mercury with turbidity, specific conductance, dissolved oxygen, and discharge for the Hickey Run, Watts Branch, and Rock Creek watersheds in the Washington, D.C. region. We observed a significant negative linear relationship between concentrations of Cu and dissolved oxygen at Rock Creek (p < 0.05). Sometimes, turbidity had significant positive linear relationships with Pb and Hg concentrations. There were negative or positive linear relationships between Pb, Cd, Zn, and Hg and specific conductance. There also appeared to be relationships between watershed areal fluxes of Pb, Cu, Zn, and Cd in streams with turbidity. Watershed monitoring approaches using continuous sensor data have the potential to characterize the frequency, magnitude, and composition of pulses in concentrations and loads of trace metals, which could improve the management and restoration of urban streams.en_US
dc.description.sponsorshipThis project would not have been possible without data collection and sharing by the USGS. In particular, Joe Bell and Joel Blomquist provided valuable information on sampling design and insights related to the study sites. Karen Prestegaard and Shuiwang Duan kindly provided helpful comments and ideas that significantly improved this manuscript.en_US
dc.description.urihttps://www.mdpi.com/2073-4441/12/10/2864en_US
dc.format.extent19 pagesen_US
dc.genrejournal articlesen_US
dc.identifierdoi:10.13016/m2mymd-9jif
dc.identifier.citationMorel, Carol J.; Kaushal, Sujay S.; Tan, Maggie L.; Belt, Kenneth T. 2020. "Developing Sensor Proxies for “Chemical Cocktails” of Trace Metals in Urban Streams." Water 12, no. 10: 2864, doi: https://doi.org/10.3390/w12102864en_US
dc.identifier.urihttps://doi.org/10.3390/w12102864
dc.identifier.urihttp://hdl.handle.net/11603/20100
dc.language.isoen_USen_US
dc.publisherMDPIen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Geography and Environmental Systems Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.rightsAttribution 4.0 International*
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/*
dc.titleDeveloping Sensor Proxies for “Chemical Cocktails” of Trace Metals in Urban Streamsen_US
dc.typeTexten_US

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