2020
DOI: 10.3390/w12102864
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Developing Sensor Proxies for “Chemical Cocktails” of Trace Metals in Urban Streams

Abstract: Understanding 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,… Show more

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Cited by 12 publications
(21 citation statements)
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“…We also provide an introduction to the watershed ''chemical cocktail'' concept (e.g. Kaushal et al 2018aKaushal et al , b, 2019Kaushal et al , 2020Morel et al 2020;Galella et al 2021) and allusions to the emerging toxicological and biogeochemical impacts on ecosystems from complex chemical mixtures.…”
Section: Discovery Of Widespread Freshwater Salinization In Humid Regionsmentioning
confidence: 99%
See 4 more Smart Citations
“…We also provide an introduction to the watershed ''chemical cocktail'' concept (e.g. Kaushal et al 2018aKaushal et al , b, 2019Kaushal et al , 2020Morel et al 2020;Galella et al 2021) and allusions to the emerging toxicological and biogeochemical impacts on ecosystems from complex chemical mixtures.…”
Section: Discovery Of Widespread Freshwater Salinization In Humid Regionsmentioning
confidence: 99%
“…Thus, there are multiple complex interactions between ionic strength and pH, redox, organic matter, and other chemical parameters, which can enhance FSS mobilization of complex mixtures of multiple contaminants or chemical cocktails. Cocktail effects have been a useful concept in toxicology, but we expand our concept of chemical cocktails to include not only impacts on health and ecosystems, but also sources, fate, and transport of complex chemical mixtures in the environment (Kaushal et al 2018a(Kaushal et al , 2019(Kaushal et al , 2020Morel et al 2020;Galella et al 2021).…”
Section: -mentioning
confidence: 99%
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