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Bacteria, nutrients, and contaminants of emerging concern in shallow groundwater of nearshore environments, Suffolk County, New York, 2013
Onsite wastewater disposal systems (OWDS) in coastal regions of Long Island, New York, contribute bacteria, nutrients, and organic wastewater-associated compounds (including pharmaceuticals, personal care and domestic use products referred to here as contaminants of emerging concern (CECs)) to downgradient shallow groundwater in nearshore settings. Many of the densely populated areas along the East Coast (i.e. Long Island, New York) are served by OWDS. Approximately 75 percent of Suffolk County, New York, residents rely on simple OWDS such as a series of cesspools (ground pits lined with cement blocks or rings without a sealed bottom) and septic systems. Cesspools provide minimal wastewater treatment, typically relying on bacteria to breakdown the solid waste while untreated water percolates into the sandy surficial aquifer. The high hydraulic conductivity of the sandy surficial aquifer of the New York coastal region makes these areas particularly vulnerable to organic wastewater contamination. Groundwater samples were collected from the shallow groundwater flow system along the shoreline of (1) a barrier island summer community and (2) the mainland of Long Island. Both locations are distinctive coastal communities in Suffolk County, NY, and typically rely on a simple OWDS system. The coastal communities selected are in areas inundated by the storm tide brought on by Hurricane Sandy and are considered vulnerable to extreme storms (i.e. hurricanes and nor’easters), flooding events, and sea-level rise; all of which can damage wastewater infrastructure and lead to biogeochemical changes that disrupt the level of onsite treatment and result in increased discharge of contaminants to estuaries through groundwater seepage. Specific locations were selected in areas along the shore that are within 180 m downgradient from OWDS and just above the reaches of the spring high-tide mark along the shoreline. For our study, beach areas without bulkheads (a retaining wall built for shoreline protection) were targeted due to the need to access areas downgradient of OWDS. Twenty-nine of the 103 pharmaceuticals measured were detected at least once at the NY sample locations. Other detected CECs include PCDUs (caffeine, nicotine, and metabolites), methyl-1<i>H</i>-benzotrizole (a corrosion inhibitor), and piperonyl butoxide (a pesticide synergist). Lidocaine, an over-the-counter topical anesthetic, was the most commonly detected pharmaceutical (35% of samples). Other commonly detected pharmaceuticals included fexofenadine (an over-the-counter antihistamine detected in 30% of samples), and carbamazepine (an anticonvulsant), desvenlafaxine (antidepressant), meprobamate (an anxiolytic), metformin (an antidiabetic), and tramadol (an opioid) each detected in 25% of the samples.
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Assessment of fecal contamination sources to Alley Creek, Queens County, New York: Results from a sediment resuspension experiment, thermal imagery, and additional sample collection, 2020-2021
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In cooperation with the New York City Department of Environmental Protection (NYC DEP), the U.S. Geological Survey (USGS) collected water and bed sediment samples along Alley Creek (Queens, New York) to help determine likely sources of fecal bacteria to the creek and Little Neck Bay. Potential terrestrial sources include stormwater, sewage via combined sewer overflow (CSO) and compromised infrastructure, bed-sediment resuspension, and groundwater discharge. Host sources that were targeted using microbial source tracking (MST) techniques included human, canine, waterfowl, and general Bacteroides. Routine water samples were collected and analyzed for the fecal indicator bacteria enterococci and fecal coliform, along with the physicochemical constituent total suspended solids (TSS), at the NYC DEP Newton Creek Microbiological Laboratory (Brooklyn, New York) and for MST markers at the USGS Ohio Water Microbiological Laboratory (OWML; Columbus, Ohio)--these results from routine samples are available at the USGS National Water Information System (NWIS) Web interface (https://waterdata.usgs.gov/nwis/qw). Data in this data release were generated from the two local investigations of NYC DEP sites TI-008 and TI-24 collected to supplement routine monitoring. At TI-008, sediment and water samples were collected along a stormwater conveyance line between Oakland Lake and Alley Creek on September 22, 2020 to conduct a sediment resuspension experiment. In May 2021, a total of 20 surface water and depth-profile samples (taken from a hole in a 7-foot submerged wastewater pipe adjacent to TI-024), along with thermal imagery, were collected adjacent to combined sewer overflow outfall TI-024.
Assessment of fecal contamination sources to Alley Creek, Queens County, New York: Results from a sediment resuspension experiment, thermal imagery, and additional sample collection, 2020-2021
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In cooperation with the New York City Department of Environmental Protection (NYC DEP), the U.S. Geological Survey (USGS) collected water and bed sediment samples along Alley Creek (Queens, New York) to help determine likely sources of fecal bacteria to the creek and Little Neck Bay. Potential terrestrial sources include stormwater, sewage via combined sewer overflow (CSO) and compromised infrastructure, bed-sediment resuspension, and groundwater discharge. Host sources that were targeted using microbial source tracking (MST) techniques included human, canine, waterfowl, and general Bacteroides. Routine water samples were collected and analyzed for the fecal indicator bacteria enterococci and fecal coliform, along with the physicochemical constituent total suspended solids (TSS), at the NYC DEP Newton Creek Microbiological Laboratory (Brooklyn, New York) and for MST markers at the USGS Ohio Water Microbiological Laboratory (OWML; Columbus, Ohio)--these results from routine samples are available at the USGS National Water Information System (NWIS) Web interface (https://waterdata.usgs.gov/nwis/qw). Data in this data release were generated from the two local investigations of NYC DEP sites TI-008 and TI-24 collected to supplement routine monitoring. At TI-008, sediment and water samples were collected along a stormwater conveyance line between Oakland Lake and Alley Creek on September 22, 2020 to conduct a sediment resuspension experiment. In May 2021, a total of 20 surface water and depth-profile samples (taken from a hole in a 7-foot submerged wastewater pipe adjacent to TI-024), along with thermal imagery, were collected adjacent to combined sewer overflow outfall TI-024.
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
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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, and throughout the duration of increased streamflow for runoff-event periods. An individual sample included multiple subsamples that were composited using automatic samplers. At the small-scale locations, discrete grab samples were collected by direct bottle submersion or by peristaltic pump. Water samples were analyzed for absorbance spectra and fluorescence excitation-emission matrices (EEMs), which are presented in this data release. Samples were also analyzed for human-specific viruses, at the watershed- and subwatershed-scale locations only, human- and fecal- indicator bacteria, and dissolved organic carbon (DOC), which are archived in the U.S. Geological Survey National Water Information System (NWIS). These data were used to develop regression models for describing variability of human-associated and fecal indicator bacteria, and an archive of these models is provided. Sample collection, laboratory analyses methods, and a detailed description of the modeling process are described in the associated journal publication: Corsi, S.R., De Cicco, L.A., Hansen, A.M., Lenaker, P.L., Bergamaschi, B.A., Pellerin, B.A., Dila, D.K., Bootsma, M.J., Spencer, S.K., Borchardt, M.A., and McLellan, S.L., 2021, Optical properties of water for prediction of wastewater contamination, human-associated bacteria, and fecal indicator bacteria in surface water at three watershed scales: Environmental Science and Technology, 55, 20, 13770–13782, https://doi.org/10.1021/acs.est.1c02644.
Potential contaminant sources and other landscape variables summarized for NHDPlus Version 2.1 catchments within the Chesapeake Bay Watershed (ver. 2.0, June 2021)
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This dataset consists of 262 variables which describe various known and suspected point and non-point sources of contaminants and endocrine disrupting compounds (EDCs) throughout the Chesapeake Bay Watershed. Contaminant data was summarized to the NHDPlus Version 2.1 catchment level (1:100K). Contaminant data summarized span a time range of 2001 to 2016 and include regulated facilities, pesticides, manure and biosolids application data, mercury deposition, animal feeding applications, septic systems, landfills, and land use and land cover. These data are presented in a comma separated file, which includes all variables summarized and the NHDPlus Version 2.1 FEATUREID field (also known as COMID). The FEATUREID field can be used to relate these summaries to the NHDPlus Version 2.1 data suite for mapping and other analytical purposes. Total (TOT) and Divergent (DIV) upstream summaries were generated using the NHDPlusV2 Catchment Attribute Allocation and Accumulation Tool (CA3TV2). Using this method, upstreams summaries are generated for 82,263 of the 83,637 NHDPlus catchments in the Chesapeake Bay Watershed. These data will be used to investigate source-sink linkages between contaminant sources, water quality issues, and impacted receptor populations (e.g., smallmouth bass) throughout the Bay Watershed. Information gained from this work may also be used to evaluate the success of mitigation activities and help to prioritize new locations for mitigation, implementation of best management practices, or habitat conservation actions.
Concentrations of inorganic, organic, and microbial analytes from a national reconnaissance of wastewater from food, beverage, and feedstock facilities across the United States
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This dataset contains results for treated wastewater samples collected at food processing facilities across the United States to characterize the potential contaminant profile of this type of wastewater. The associated report (Hubbard and others, 2021) can be found at https://doi.org/10.1021/acs.est.XXXXXXX. Samples were analyzed by USGS laboratories using 10 target organic (576 unique analytes), 13 inorganic (32 unique analytes), and 18 microbial (15 bacterial groups) methods. Concentration results and site descriptions are presented within.
Concentrations of inorganic, organic, and microbial analytes from a national reconnaissance of wastewater from food, beverage, and feedstock facilities across the United States
공공데이터포털
This dataset contains results for treated wastewater samples collected at food processing facilities across the United States to characterize the potential contaminant profile of this type of wastewater. The associated report (Hubbard and others, 2021) can be found at https://doi.org/10.1021/acs.est.XXXXXXX. Samples were analyzed by USGS laboratories using 10 target organic (576 unique analytes), 13 inorganic (32 unique analytes), and 18 microbial (15 bacterial groups) methods. Concentration results and site descriptions are presented within.
Data collected from wastewater effluent sampling and on-site fish exposures: trace organic contaminant concentrations, bacteria concentrations, and fish responses
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This dataset consists of trace organic contaminant concentrations and bacteria counts in wastewater effluents, and observed responses in fish exposed to effluents. The study was conducted from April to September 2022 at a facility located in Hutchinson, Minnesota. Nine pairs of primary-treated, activated sludge secondary treated, and membrane bioreactor secondary treated wastewater were characterized for select trace organic contaminants (pharmaceuticals, pesticides and pesticide degradates, hormones, alkylphenols, and bisphenols) and bacterial (total coliform, Escherichia coli) counts. Two 21-day exposures were conducted on-site in which fathead minnows were exposed to activated sludge secondary treated effluent and membrane bioreactor secondary treated effluent. Effluent samples were collected once per month in April, August, and September, and once weekly during the on-site exposures.
Data collected from wastewater effluent sampling and on-site fish exposures: trace organic contaminant concentrations, bacteria concentrations, and fish responses
공공데이터포털
This dataset consists of trace organic contaminant concentrations and bacteria counts in wastewater effluents, and observed responses in fish exposed to effluents. The study was conducted from April to September 2022 at a facility located in Hutchinson, Minnesota. Nine pairs of primary-treated, activated sludge secondary treated, and membrane bioreactor secondary treated wastewater were characterized for select trace organic contaminants (pharmaceuticals, pesticides and pesticide degradates, hormones, alkylphenols, and bisphenols) and bacterial (total coliform, Escherichia coli) counts. Two 21-day exposures were conducted on-site in which fathead minnows were exposed to activated sludge secondary treated effluent and membrane bioreactor secondary treated effluent. Effluent samples were collected once per month in April, August, and September, and once weekly during the on-site exposures.
Pesticides, nutrients, and inorganics in shallow groundwater, Long Island, NY, 2016-2018
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Groundwater samples collected between 2016 and 2018 from 56 shallow (<40 m depth) monitoring wells in Long Island, N.Y., were collected in support of the Long Island Pesticide Pollution Prevention Strategy. Each well was sampled at least once and analyzed for over 200 pesticides and pesticide degradates as part of this study. Results presented here also include field and inorganic analysis data, as well as neonicotinoid (LC9045) and glyphosate pesticide data collected from select monitoring wells. Data collection and analysis was supported by the New York State Department of Environmental Conservation, Suffolk County Department of Health Services, and Long Island Commission for Aquifer Protection. The results presented in this data release are samples that were collected and analyzed by the U.S. Geological Survey (USGS). Groundwater samples were analyzed by the USGS National Water Quality Laboratory (NWQL), in Denver, CO and the Organic Research Laboratory, in Lawrence, KS. This data release includes all method descriptions and quality assurance and quality control criteria in the metadata.
Concentrations of Pharmaceutical Contaminants and Their Predicted Effects from a Multi-Regional Assessment of Wadeable USA Streams, 2014-2017
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Human-use pharmaceutical compounds were analyzed at the U.S. Geological Survey, National Water Quality Laboratory, Denver, Colorado, in wadeable streams in 4 Regional Stream Quality Assessments: Northeast (NESQA), Southeast (SESQA), Pacific Northwest (PNSQA) and California (CSQA). Multiple (with few exceptions) samplings occurred at each site, during base flow, between 2014 and 2017. Sites were located in the headwaters of perennial, wadeable streams in urban and agricultural watersheds. Site selection and methodology for each assessment can be found in Van Meter and others (2015), Sheibley and others (2015), Van Meter and others (2017), Coles and others (2016), Van Meter and others (2016), Journey and others (2015), and Van Meter and others (2014).