Supervisory Hydrologist
Email:
amgbrady@usgs.gov
Office Phone:
614-202-9114
Fax:
614-430-7777
ORCID:
0000-0002-7414-0992
Location
6460 Busch Boulevard
Suite 100
Columbus
, OH
43229-1753
US
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Site-specific multiple linear regression models were developed for one beach in Ohio (three discrete sampling sites) and one beach in Pennsylvania to estimate concentrations of Escherichia coli (E. coli) or the probability of exceeding the bathing-water standard for E. coli in recreational waters used by the public. Traditional culture-based methods are commonly used to estimate concentrations of fecal indicator bacteria, such as E. coli; however, results are obtained 18 to 24 hours post sampling and do not accurately reflect current water-quality conditions. Beach-specific mathematical models use environmental and water-quality variables that are easily and quickly measured as surrogates to estimate concentrations...
Categories: Data;
Tags: Environmental Health,
Great Lakes,
New York,
Ohio,
Pennsylvania, All tags...
USGS Science Data Catalog (SDC),
Water Quality,
bacteria,
economy,
regression analysis,
surface water (non-marine),
water quality, Fewer tags
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This dataset contains data tables of laboratory quality-control data associated with environmental samples analyzed for microbiological constituents at the Ohio Water Microbiology Laboratory of the U.S. Geological Survey (USGS). The environmental samples were collected across the United States by USGS National Projects and projects in Water Science Centers. These quality-control data can be used to assess the quality of microbiological data for the associated environmental samples.
Tags: Environmental Health,
Hydrology,
USGS Science Data Catalog (SDC),
United States of America,
Water Quality, All tags...
bacteria,
laboratory methods,
microbiology,
quality control,
virology, Fewer tags
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This page contains model archive summary (MAS) packages for 2 site-specific multiple linear regression models developed for one site in Ohio and one site in Pennsylvania. Sites models contain real-time factors that are used to predict Escherichia coli (E. coli) concentration action-level exceedances. Each model package contains a MAS report, the “original” data that include all explanatory variables used in model development, the “calibration” data that only contain the chosen model variables and can be used to re-create the model, the Virtual Beach (software used to the develop the model) project file for the model, and the model report that lists parameter and model details.
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This page contains model archive summary packages for 18 site-specific linear regression models developed for eight sites in Ohio. Sites models contain real-time factors (real-time model) or real-time and comprehensive factors (comp models) that are used to predict microcystin concentration action-level exceedances. Each model package contains a model archive summary report, the “original” data that include all explanatory variables used in model development, the “calibration” data that only contain the chosen model variables and can be used to re-create the model, the Virtual Beach (software used to the develop the model) project file for the model, and the model report that lists parameter and model details.
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This dataset contains data tables of laboratory quality-control data associated with environmental samples analyzed for microbiological constituents at the Ohio Water Microbiology Laboratory of the U.S. Geological Survey (USGS) during federal fiscal years 2012-2017 (October 1, 2011 through September 30, 2017). The environmental samples were collected across the United States by the USGS National Water Quality Assessment Project and other projects in Water Science Centers. The microbiological constituents include total coliforms, Escherichia coli (E. coli), enterococci, coliphage (F-specific and somatic), aerobic endospores, and actinomycetes. These quality-control data can be used to assess the quality of microbiological...
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