Robert Darner
Groundwater Specialist, Ohio-Kentucky-Indiana Water Science Center
Science and Products
Hydrogeologic Mapping, Data Collection, and Geologic Framework of Glacial Deposits in a Multi-county Area of Northwest Ohio, Northeast Indiana, and South Michigan
In cooperation with the Ohio Environmental Protection Agency Groundwater resources in northwestern Ohio, northeastern Indiana and southern Michigan have been a recurring subject of interest related to sources of public, irrigation, and other water supplies and the potential of glacial deposits to supply water to adjacent parts of Ohio. The glacial deposits that are part of the aquifer system...
Ohio-Kentucky-Indiana Groundwater Networks
Groundwater level is monitored at numerous observation wells across Ohio , Kentucky , and Indiana . Data are collected in real-time, continuous, and periodically. These data support decisions by local, state, and federal cooperators to balance diverse and growing demands for water resources in our three states. These demands include major resource management challenges like groundwater...
Groundwater Network In Ohio
State and local agencies in Ohio (and to a limited extent, the USGS) collect, research, interpret, and disseminate groundwater data to characterize the groundwater resources of the State. To address these needs, the Ohio Department of Natural Resources (ODNR) and the Miami Conservancy District (MCD) monitor groundwater levels for more than 140 wells throughout Ohio. Personnel from the USGS Ohio...
Stormwater Control Measures (SCM) Monitoring Near Cincinnati And Cleveland
Green infrastructure (GI) is a retrofit or as-built approach to managing stormwater as near its source as possible by minimizing impervious surfaces and promoting more natural infiltration and evapotranspiration than is typically associated with developed areas. There are a variety of GI stormwater control measures, including rain gardens, bioretention features, and pervious pavements. At the St...
Stormwater Control Measures (SCM) Monitoring, Griggs Reservoir In Columbus
Increased stormwater runoff and associated problems, including increased pollution and flooding, have led to engineered attempts to return urban areas to a more natural water cycle. The USGS, in cooperation with the Franklin Soil and Water Conservation District and the City of Columbus, is collecting hydrologic data to determine the effectiveness of recently installed rain gardens near Griggs...
Filter Total Items: 16
Hydrologic performance of retrofit rain gardens in a residential neighborhood (Cleveland Ohio USA) with a focus on monitoring methods
Green infrastructure refers to a range of urban stormwater management tools that can be flexibly implemented. These practices can aid in mitigating the negative impacts of runoff by increasing catchment detention capacity. We studied two engineered rain gardens (Cleveland OH) that were designed to infiltrate and detain direct runoff volume generated from an adjacent roadway, and sheet flow from pe
Authors
William D. Shuster, Robert A. Darner
Hydrologic characteristics of low-impact stormwater control measures at two sites in northeastern Ohio, 2008-13
This report updates and examines hydrologic data gathered to characterize the performance of two stormwater-control measure (SCM) sites in the Chagrin River watershed, Ohio. At the Sterncrest Drive site, roadside bioswales and rain gardens were used to alleviate drainage problems in this residential neighborhood area. At the Washington Street site, a treatment train (including a pervious-paver sys
Authors
Robert A. Darner, William D. Shuster, Denise H. Dumouchelle
Visualization of soil-moisture change in response to precipitation within two rain gardens in Ohio
Stormwater runoff in urban areas is increasingly being managed by means of a variety of treaments that reduce or delay runoff and promote more natural infiltration. One such treatment is a rain garden, which is built to detain runoff and allow for water infiltration and uptake by plants.Water flow into or out of a rain garden can be readily monitored with a variety of tools; however, observing the
Authors
Denise H. Dumouchelle, Robert A. Darner
Using existing data to estimate aquifer properties, Great Lakes Region, USA
To determine specific storage and porosity, areally limited and time-consuming aquifer tests are frequently done. Hydrogeologic studies often do not have the resources to collect such data and rely on existing data sources for aquifer properties. An alternative tool for determining these aquifer properties is the analysis of earth tides. The objective of this study was to determine whether existin
Authors
Robert A. Darner, Rodney A. Sheets
Hydraulic characteristics of low-impact development practices in northeastern Ohio, 2008–2010
Low-impact development (LID) is an approach to managing stormwater as near to its source as possible; this is accomplished by minimizing impervious surfaces and promoting more natural infiltration and evapotranspiration than is typically associated with developed areas. Two newly constructed LID sites in northeastern Ohio were studied to document their hydraulic characteristics. A roadside best-m
Authors
Robert A. Darner, Denise H. Dumouchelle
Testing and refining the Ohio Nowcast at two Lake Erie beaches— 2008
The Ohio Nowcast has been providing real-time beach advisories to the public on the basis of predictive models since 2006. In support of the nowcast, data were collected during the recreational season of 2008 to validate and refine predictive models at two Lake Erie beaches. Predictive models yield data on the probability that the single-sample bathing-water standard for E. coli will be exceeded.
Authors
Donna S. Francy, Erin E. Bertke, Robert A. Darner
Nowcasting Beach Advisories at Ohio Lake Erie Beaches
Data were collected during the recreational season of 2007 to test and refine predictive models at three Lake Erie beaches. In addition to E. coli concentrations, field personnel collected or compiled data for environmental and water-quality variables expected to affect E. coli concentrations including turbidity, wave height, water temperature, lake level, rainfall, and antecedent dry days and wet
Authors
Donna S. Francy, Robert A. Darner
Section 5. Procedures for Developing Models To Predict Exceedances of Recreational Water-Quality Standards at Coastal Beaches
No abstract available.
Authors
Donna S. Francy, Robert A. Darner
Models for predicting recreational water quality at Lake Erie beaches
Data collected from four Lake Erie beaches during the recreational seasons of 2004-05 and from one Lake Erie beach during 2000-2005 were used to develop predictive models for recreational water quality by means of multiple linear regression. The best model for each beach was based on a unique combination of environmental and water-quality explanatory variables including turbidity, rainfall, wave h
Authors
Donna S. Francy, Robert A. Darner, Erin E. Bertke
Chemical and biological characterization of the headwaters of the Rush Creek watershed, Perry County, Ohio
No abstract available.
Authors
Robert A. Darner, John S. Tertuliani, Ralph J. Haefner
Escherichia coli at Ohio bathing beaches—Distribution, sources, wastewater indicators, and predictive modeling
Results of studies during the recreational seasons of 2000 and 2001 strengthen the science that supports monitoring of our Nation's beaches. Water and sediment samples were collected and analyzed for concentrations of Escherichia coli (E. coli). Ancillary water-quality and environmental data were collected or compiled to determine their relation to E. coli concentrations. Data were collected at t
Authors
Donna S. Francy, Amie M. Gifford, Robert A. Darner
Forecasting bacteria levels at bathing beaches in Ohio
The U.S. Geological Survey developed models for predicting exceedance of the bathing-water standard for Escherichia coli (E. coli) at three Lake Erie beaches and one inland lake in Ohio. The statistical models were specific to each beach, and the best model for each beach was based on a unique combination of environmental and water-quality variables as explanatory factors. For the Lake Erie beaches
Authors
Donna S. Francy, Robert A. Darner
Science and Products
Hydrogeologic Mapping, Data Collection, and Geologic Framework of Glacial Deposits in a Multi-county Area of Northwest Ohio, Northeast Indiana, and South Michigan
In cooperation with the Ohio Environmental Protection Agency Groundwater resources in northwestern Ohio, northeastern Indiana and southern Michigan have been a recurring subject of interest related to sources of public, irrigation, and other water supplies and the potential of glacial deposits to supply water to adjacent parts of Ohio. The glacial deposits that are part of the aquifer system...
Ohio-Kentucky-Indiana Groundwater Networks
Groundwater level is monitored at numerous observation wells across Ohio , Kentucky , and Indiana . Data are collected in real-time, continuous, and periodically. These data support decisions by local, state, and federal cooperators to balance diverse and growing demands for water resources in our three states. These demands include major resource management challenges like groundwater...
Groundwater Network In Ohio
State and local agencies in Ohio (and to a limited extent, the USGS) collect, research, interpret, and disseminate groundwater data to characterize the groundwater resources of the State. To address these needs, the Ohio Department of Natural Resources (ODNR) and the Miami Conservancy District (MCD) monitor groundwater levels for more than 140 wells throughout Ohio. Personnel from the USGS Ohio...
Stormwater Control Measures (SCM) Monitoring Near Cincinnati And Cleveland
Green infrastructure (GI) is a retrofit or as-built approach to managing stormwater as near its source as possible by minimizing impervious surfaces and promoting more natural infiltration and evapotranspiration than is typically associated with developed areas. There are a variety of GI stormwater control measures, including rain gardens, bioretention features, and pervious pavements. At the St...
Stormwater Control Measures (SCM) Monitoring, Griggs Reservoir In Columbus
Increased stormwater runoff and associated problems, including increased pollution and flooding, have led to engineered attempts to return urban areas to a more natural water cycle. The USGS, in cooperation with the Franklin Soil and Water Conservation District and the City of Columbus, is collecting hydrologic data to determine the effectiveness of recently installed rain gardens near Griggs...
Filter Total Items: 16
Hydrologic performance of retrofit rain gardens in a residential neighborhood (Cleveland Ohio USA) with a focus on monitoring methods
Green infrastructure refers to a range of urban stormwater management tools that can be flexibly implemented. These practices can aid in mitigating the negative impacts of runoff by increasing catchment detention capacity. We studied two engineered rain gardens (Cleveland OH) that were designed to infiltrate and detain direct runoff volume generated from an adjacent roadway, and sheet flow from pe
Authors
William D. Shuster, Robert A. Darner
Hydrologic characteristics of low-impact stormwater control measures at two sites in northeastern Ohio, 2008-13
This report updates and examines hydrologic data gathered to characterize the performance of two stormwater-control measure (SCM) sites in the Chagrin River watershed, Ohio. At the Sterncrest Drive site, roadside bioswales and rain gardens were used to alleviate drainage problems in this residential neighborhood area. At the Washington Street site, a treatment train (including a pervious-paver sys
Authors
Robert A. Darner, William D. Shuster, Denise H. Dumouchelle
Visualization of soil-moisture change in response to precipitation within two rain gardens in Ohio
Stormwater runoff in urban areas is increasingly being managed by means of a variety of treaments that reduce or delay runoff and promote more natural infiltration. One such treatment is a rain garden, which is built to detain runoff and allow for water infiltration and uptake by plants.Water flow into or out of a rain garden can be readily monitored with a variety of tools; however, observing the
Authors
Denise H. Dumouchelle, Robert A. Darner
Using existing data to estimate aquifer properties, Great Lakes Region, USA
To determine specific storage and porosity, areally limited and time-consuming aquifer tests are frequently done. Hydrogeologic studies often do not have the resources to collect such data and rely on existing data sources for aquifer properties. An alternative tool for determining these aquifer properties is the analysis of earth tides. The objective of this study was to determine whether existin
Authors
Robert A. Darner, Rodney A. Sheets
Hydraulic characteristics of low-impact development practices in northeastern Ohio, 2008–2010
Low-impact development (LID) is an approach to managing stormwater as near to its source as possible; this is accomplished by minimizing impervious surfaces and promoting more natural infiltration and evapotranspiration than is typically associated with developed areas. Two newly constructed LID sites in northeastern Ohio were studied to document their hydraulic characteristics. A roadside best-m
Authors
Robert A. Darner, Denise H. Dumouchelle
Testing and refining the Ohio Nowcast at two Lake Erie beaches— 2008
The Ohio Nowcast has been providing real-time beach advisories to the public on the basis of predictive models since 2006. In support of the nowcast, data were collected during the recreational season of 2008 to validate and refine predictive models at two Lake Erie beaches. Predictive models yield data on the probability that the single-sample bathing-water standard for E. coli will be exceeded.
Authors
Donna S. Francy, Erin E. Bertke, Robert A. Darner
Nowcasting Beach Advisories at Ohio Lake Erie Beaches
Data were collected during the recreational season of 2007 to test and refine predictive models at three Lake Erie beaches. In addition to E. coli concentrations, field personnel collected or compiled data for environmental and water-quality variables expected to affect E. coli concentrations including turbidity, wave height, water temperature, lake level, rainfall, and antecedent dry days and wet
Authors
Donna S. Francy, Robert A. Darner
Section 5. Procedures for Developing Models To Predict Exceedances of Recreational Water-Quality Standards at Coastal Beaches
No abstract available.
Authors
Donna S. Francy, Robert A. Darner
Models for predicting recreational water quality at Lake Erie beaches
Data collected from four Lake Erie beaches during the recreational seasons of 2004-05 and from one Lake Erie beach during 2000-2005 were used to develop predictive models for recreational water quality by means of multiple linear regression. The best model for each beach was based on a unique combination of environmental and water-quality explanatory variables including turbidity, rainfall, wave h
Authors
Donna S. Francy, Robert A. Darner, Erin E. Bertke
Chemical and biological characterization of the headwaters of the Rush Creek watershed, Perry County, Ohio
No abstract available.
Authors
Robert A. Darner, John S. Tertuliani, Ralph J. Haefner
Escherichia coli at Ohio bathing beaches—Distribution, sources, wastewater indicators, and predictive modeling
Results of studies during the recreational seasons of 2000 and 2001 strengthen the science that supports monitoring of our Nation's beaches. Water and sediment samples were collected and analyzed for concentrations of Escherichia coli (E. coli). Ancillary water-quality and environmental data were collected or compiled to determine their relation to E. coli concentrations. Data were collected at t
Authors
Donna S. Francy, Amie M. Gifford, Robert A. Darner
Forecasting bacteria levels at bathing beaches in Ohio
The U.S. Geological Survey developed models for predicting exceedance of the bathing-water standard for Escherichia coli (E. coli) at three Lake Erie beaches and one inland lake in Ohio. The statistical models were specific to each beach, and the best model for each beach was based on a unique combination of environmental and water-quality variables as explanatory factors. For the Lake Erie beaches
Authors
Donna S. Francy, Robert A. Darner