TRACKING TRANSPORT OF ‘CHEMICAL COCKTAILS’ OF TRACE METALS USING SENSORS IN URBAN STREAMS

dc.contributor.advisorKaushal, Sujayen_US
dc.contributor.authorMorel, Carolen_US
dc.contributor.departmentGeologyen_US
dc.contributor.publisherDigital Repository at the University of Marylanden_US
dc.contributor.publisherUniversity of Maryland (College Park, Md.)en_US
dc.date.accessioned2021-02-14T06:31:06Z
dc.date.available2021-02-14T06:31:06Z
dc.date.issued2020en_US
dc.description.abstractUnderstanding transport mechanisms and temporal patterns in metals concentrations and fluxes in urban streams are 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 and fluxes 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. At Rock Creek, there were significant negative linear relationships between Hg and Pb and specific conductance (p<0.05). 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 management and restoration of urban streams.en_US
dc.identifierhttps://doi.org/10.13016/uowz-mfha
dc.identifier.urihttp://hdl.handle.net/1903/26781
dc.language.isoenen_US
dc.subject.pqcontrolledHydrologic sciencesen_US
dc.subject.pquncontrolledchemical cocktailsen_US
dc.subject.pquncontrolledmetalsen_US
dc.subject.pquncontrolledtransporten_US
dc.subject.pquncontrolledWashingtonen_US
dc.subject.pquncontrolledDCen_US
dc.titleTRACKING TRANSPORT OF ‘CHEMICAL COCKTAILS’ OF TRACE METALS USING SENSORS IN URBAN STREAMSen_US
dc.typeThesisen_US

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