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This dataset includes pesticides and pesticide transformation products in 15 tributaries of the Great Lakes. Pesticides were monitored using polar organic chemical integrative samplers (POCIS) to estimate concentrations in water following standard protocols (Alvarez, 2010) in June and July 2016. POCIS extracts were analyzed for 225 chemicals (USGS National Water Quality Laboratory schedule 5437, Sandstrom and others, 2016), for which 129 chemicals also have POCIS uptake rates, allowing calculations of time-weighted mean concentration over the approximately 30 day deployment (Alvarez and others, 2008). Collectively, there were 97 chemicals detected, and time-weighted mean concentrations could be calculated for 95...
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Note: This data release is currently being revised and is temporarily unavailable. Two types of passive samplers for polychlorinated biphenyl (PCB) analysis were deployed in the Clinton River Area of Concern in 2019: semipermeable membrane devices for water and in-stream sediment samplers. Samplers were deployed in July 2019 and retrieved in August 2019. Additionally, bank sediment samples for PCB analysis were collected by the U.S. Geological Survey (USGS) in August 2019 and catch basin bottom material samples for PCB analysis were collected by LimnoTech in November 2019 under contract with the U.S. Army Corps of Engineers. These data are a part of a larger study and associated USGS report (https://doi.org/TBD).
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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...
This data set is a compilation of data from two sampling efforts (2010 and 2014), focused on determining the presence and distribution of organic contaminants throughout the United States portion of the Great Lakes watershed. Water-borne contaminants were monitored in 69 tributaries of the Great Lakes using semipermeable membrane devices (SPMDs), and polar organic chemical integrative samplers (POCIS). Analyses included 185 chemicals (143 detected) including polycyclic aromatic hydrocarbons (PAHs), legacy and current-use pesticides, polychlorinated biphenyls (PCBs), polybrominated diphenyl ether (PBDE) and organophosphate fire retardants, pharmaceuticals, fragrances, industrial chemicals, surfactants, and others.
Tags: Ashtabula River, Au Sable River, Bad River, Black River, Buffalo River, All tags...


    map background search result map search result map 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 Pesticides and pesticide transformation product data from passive samplers deployed in 15 Great Lakes tributaries, 2016 Polychlorinated biphenyl (PCB) data from instream water and sediment passive samplers, stream bank sediment, and catch basin sediment in the Clinton River Area of Concern, Michigan, USA, 2019 (Under Revision) Polychlorinated biphenyl (PCB) data from instream water and sediment passive samplers, stream bank sediment, and catch basin sediment in the Clinton River Area of Concern, Michigan, USA, 2019 (Under Revision) Pesticides and pesticide transformation product data from passive samplers deployed in 15 Great Lakes tributaries, 2016 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