Publications about South Carolina Beaches

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State of the South Atlantic 2015 (Page 1)

State of the South Atlantic 2015

Jane Hawkey, Caroline Donovan, Nicole Lehmer, Heath Kelsey ·
2 March 2015

The South Atlantic Landscape Conservation Cooperative (South Atlantic LCC) is a partnership of federal, state, and private organizations dedicated to conserving a landscape capable of sustaining the nation’s natural and cultural resources for current and future generations. The primary objective of this project was to develop a short synthesis report assessing 11 habitats, using a variety of ecological indicators.

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Model Results and Software Comparisons in Myrtle Beach, SC Using Virtual Beach and R Regression Toolboxes (Page 1)

Model Results and Software Comparisons in Myrtle Beach, SC Using Virtual Beach and R Regression Toolboxes

Neet MJ, Kelsey RH, Porter DE, Ramage DW, and Jones AB ·
2015

Utilizing R software and a variety of data sources, daily forecasts of bacteria levels were developed and automated for beach waters in Myrtle Beach, SC. Modeled results are then shown for beach locations via a website and mobile device app. While R provides a robust set of tools for use in forecast modeling, the software has an extensive learning curve and requires skilled statistical interpretation of results.

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Model Performance Results in Myrtle Beach, SC Using Virtual Beach and R Regression Software (Page 1)

Model Performance Results in Myrtle Beach, SC Using Virtual Beach and R Regression Software

Neet MJ, Kelsey RH, Porter DE, Ramage DW, and Jones AB ·
2014

Daily forecasts of beach water bacteria levels have been developed and automated by a beach water quality forecast team. With support from the Southeast Coast Ocean Observing Regional Association (SECOORA), R software and a variety of data sources were used to model daily bacteria levels in beach swimming waters in Myrtle Beach, SC. Modeled (predicted) water quality results are then shown for beach locations via a website and mobile device app.

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Improvements to Shellfish Harvest Area Closure Decision Making Using GIS, Remote Sensing, and Predictive Models (Page 1)

Improvements to Shellfish Harvest Area Closure Decision Making Using GIS, Remote Sensing, and Predictive Models

Kelsey RH, Scott GI, Porter DE, Siewicki TC, and Edwards DG ·
2010

Currently, many states use precipitation information to regulate periodic closures of shellfish harvest areas based on a presumptive relationship between rainfall and bacteria concentration. We evaluate this relationship in four South Carolina estuaries and suggest new predictive models that integrate remote sensing precipitation data with additional environmental and climatic data.

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Spatial and temporal variability of ribotyping results at a small watershed in South Carolina (Page 1)

Spatial and temporal variability of ribotyping results at a small watershed in South Carolina

Kelsey RH, Webster LF, Kenny DJ, Stewart JR, and Scott GI ·
2008

The utility of library-based ribotyping methods for a very small study area was evaluated through comparison of local results to libraries with differing spatial and temporal scales. Ribotyping of Escherichia coli isolates was used to evaluate sources of fecal pollution at a coastal golf course in Beaufort County, South Carolina.

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Using multiple antibiotic resistance and land use characteristics to determine sources of fecal coliform bacterial pollutiion (Page 1)

Using multiple antibiotic resistance and land use characteristics to determine sources of fecal coliform bacterial pollutiion

Kelsey RH, Scott GI, Porter DE, Thompson B, and Webster L ·
2003

Multiple Antibiotic Resistance ( MAR) analysis and regression modeling techniques were used to identify surface water areas impacted by fecal pollution from human sources, and to determine the effects of land use on fecal pollution in Murrells Inlet, a small, urbanized, high-salinity estuary located between Myrtle Beach and Georgetown, South Carolina. MAR analysis was performed to identify areas in the estuary that are impacted by human-source fecal pollution.

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