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Featured researches published by Robert A. Darner.


Water Research | 2000

Comparison of methods for determining Escherichia coli concentrations in recreational waters

Donna S. Francy; Robert A. Darner

Abstract Seventy water samples were collected from three Lake Erie beaches to compare recoveries of Escherichia coli ( E. coli ) using the USEPA-recommended method for recreational waters (mTEC) to recoveries using three alternative methods (MI, modified mTEC, and Colilert). Statistical tests showed no differences in recoveries of E. coli between MI and mTEC; however, statistically-significant differences were found between modified mTEC or Colilert and mTEC. The MI agar method provided the most similar assessment of recreational water quality to mTEC among the three alternative methods tested. The range of differences between Colilert and mTEC was widest among the three alternative methods. In a sample group with a range of values near the single-sample bathing-water standard, recoveries of E. coli were statistically lower using modified mTEC than mTEC; however, MI and Colilert compared well to mTEC in this range. Because samples were collected in a small geographic area, more work is necessary to test within-method variability of the modified mTEC, MI, and Colilert methods and to evaluate these methods as substitutes for the mTEC method in a variety of recreational waters.


Techniques and Methods | 2006

Section 5. Procedures for Developing Models To Predict Exceedances of Recreational Water-Quality Standards at Coastal Beaches

Donna S. Francy; Robert A. Darner

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Hydrological Processes | 2017

Modeling hydrological response to a fully-monitored urban bioretention cell

Ryan D. Stewart; Joong Gwang Lee; William D. Shuster; Robert A. Darner

Municipalities and agencies use green infrastructure to combat pollution and hydrological impacts (e.g., flooding) related to excess stormwater. Bioretention cells are one type of infiltration green infrastructure (GI) intervention that infiltrate and redistribute otherwise uncontrolled stormwater volume. However, the effects of these installations on the rest of the local water cycle is understudied; in particular, impacts on stormwater return flows and groundwater levels are not fully understood. In this study, full water cycle monitoring data was used to construct and calibrate a two-dimensional Richards equation model (HYDRUS-2D/3D) detailing hydrological implications of an unlined bioretention cell (Cleveland, Ohio) that accepts direct runoff from surrounding impervious surfaces. Using both pre- and post-installation data, the model was used to: 1) establish a mass balance to determine reduction in stormwater return flow, 2) evaluate GI effects on subsurface water dynamics, and 3) determine model sensitivity to measured soil properties. Comparisons of modeled versus observed data indicated that the model captured many hydrological aspects of the bioretention cell, including subsurface storage and transient groundwater mounding. Model outputs suggested that the bioretention cell reduced stormwater return flows into the local sewer collection system, though the extent of this benefit was attenuated during high inflow events that may have exhausted detention capacity. The model also demonstrated how, prior to bioretention cell installation, surface and subsurface hydrology were largely decoupled, whereas after installation, exfiltration from the bioretention cell activated a new groundwater dynamic. Still, the extent of groundwater mounding from the cell was limited in spatial extent, and did not threaten other subsurface infrastructure. Finally, the sensitivity analysis demonstrated that the overall hydrological response was regulated by the hydraulics of the bioretention cell fill material, which controlled water entry into the system, and by the water retention parameters of the native soil, which controlled connectivity between the surface and groundwater.


Water-Resources Investigations Report | 2003

Escherichia coli at Ohio Bathing Beaches--Distribution, Sources, Wastewater Indicators, and Predictive Modeling

Donna S. Francy; Amie M. Gifford; Robert A. Darner


Scientific Investigations Report | 2006

Models for predicting recreational water quality at Lake Erie beaches

Donna S. Francy; Robert A. Darner; Erin E. Bertke


Water-Resources Investigations Report | 1998

Factors affecting Escherichia coli concentrations at Lake Erie public bathing beaches

Donna S. Francy; Robert A. Darner


Open-File Report | 2007

Nowcasting Beach Advisories at Ohio Lake Erie Beaches

Donna S. Francy; Robert A. Darner


Fact Sheet | 2002

Forecasting Bacteria Levels at Bathing Beaches in Ohio

Donna S. Francy; Robert A. Darner


Infrastructures | 2017

Factors Contributing to the Hydrologic Effectiveness of a Rain Garden Network (Cincinnati OH USA)

William D. Shuster; Robert A. Darner; Laura A. Schifman; Dustin L. Herrmann


Scientific Investigations Report | 2011

Hydraulic characteristics of low-impact development practices in northeastern Ohio, 2008–2010

Robert A. Darner; Denise H. Dumouchelle

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Donna S. Francy

United States Geological Survey

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William D. Shuster

United States Environmental Protection Agency

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Erin E. Bertke

United States Geological Survey

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Laura A. Schifman

University of Rhode Island

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Rodney A. Sheets

United States Geological Survey

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