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Optical signals of water for prediction of wastewater contamination, human-associated bacteria, and fecal indicator bacteria in surface water of Great Lake tributaries from 2011 to 2016

Dates

Publication Date
Start Date
2011-02-16
End Date
2016-06-09

Citation

DeCicco, L.A., Corsi, S.R., Hansen, A.M., Lenaker, P.L., Bergamaschi, B.A., and Pellerin, B.A., 2021, Optical signals of water for prediction of wastewater contamination, human-associated bacteria, and fecal indicator bacteria in surface water of Great Lake tributaries from 2011 to 2016: U.S. Geological Survey data release, https://doi.org/10.5066/P9I0SPDQ.

Summary

Data are from water samples collected from tributaries of the Great Lakes at three different drainage basin scales, including 1). watershed scale: 8 tributaries of the Great Lakes, 2). subwatershed scale: 5 locations from the greater Milwaukee, Wisconsin area, and 3). small scale: 213 storm sewers and open channel locations in three subwatersheds within the Great Lakes Basin including the Middle Branch of the Clinton River in Macomb County, Michigan (65 sample locations), Red Creek in Monroe County, New York (88 sample locations), and the Kinnickinnic River in Milwaukee County, Wisconsin (60 sample locations). At the watershed- and subwatershed-scale locations, water samples were collected over a 24-hour duration for low-flow periods, [...]

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Attached Files

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absorption.csv
“Absorption Data”
11.35 MB text/csv
fl_MRLs.csv
“Fluorescence MRLs”
524.71 KB text/csv
abs_MRLs.csv
“Absorption MRLs”
13.43 KB text/csv
summary_signals.csv
“Summary signals”
595.71 KB text/csv
EEMs.csv
“EEMs”
260.65 MB text/csv
summary_df.csv 75.66 KB text/csv

Purpose

Water samples were collected to explore the optical properties of dissolved organic matter (DOM) in environmental water samples from tributaries of the Great Lakes at three different drainage basin scales. A fraction of the organic compounds included in natural organic matter and anthropogenic substances interact with light, which allows them to be measured by absorbance and fluorescence methods. The extent to which light of a particular wavelength interacts with the organic material reflects the intrinsic chemical composition of the organic material, and thereby provides information about its source and the source of the water carrying it. Data was used to explore relationships between optical properties (explanatory variables) and human-associated and fecal indicator bacteria concentrations (response variables). The purpose of exploring these relationships was to investigate which optical signals could be used to estimate wastewater prevalence in environmental waters using real-time in-situ field sensors. Explanatory variable selection for these regressions was done in two stages: (1) optical properties measured in the laboratory that represent signals available in current field sensors were considered. (2) explanatory variables were expanded to additional optical signals and variables that were derived from optical properties. These included direct fluorescence or absorbance at specific wavelengths, means of fluorescence or absorbance over specified bandwidths, ratios of these variables, spectral slopes determined as the slope of the absorbance curve over specified wavelengths in exponential space, and several optical indices that have been used in previous research. Given the potential for seasonality in DOM composition in streams, seasonal variables (sine and cosine of julian day/(2π)) were used to develop interaction terms with optical signals. Optical signals that represent signals available in current field sensors included F (often referred to as fDOM or CDOM) and T (often referred to as tryptophan-like fluorescence) as well as turbidity.

Additional Information

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Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/P9I0SPDQ

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