Article Type

Full Research Article – Special Issue






A watershed-based plan (WBP) is an example of a management tool that addresses nonpoint sources of pollution that affect surface water quality. We apply a simple spreadsheet tool to the Lower Caw Caw Swamp watershed in Orangeburg, South Carolina, to quantify the impact of modest management practices on water quality, and to examine how climate and land-use change could affect water quality in future decades. Three separate climate and land use scenarios are used to measure annual pollutant loads in the basin. Our analysis shows that E. coli loads in current conditions are largely attributed to anthropogenic sources of bacteria and have the potential to be reduced by about 15% with the implementation of structural stormwater best management practices (such as stormwater ponds and bioretention) and non-structural strategies (programmatic changes such as rooftop disconnection in residential areas and improving on-site sewage disposal systems). Modeled E. coli loads in future scenarios were almost twice the current loads as a result of a warmer climate and greater volumes of stormwater runoff generated by additional impervious surfaces and increased annual precipitation. These findings are consistent with others investigating water quality using future climate and land-use scenarios. We demonstrate that a simple watershed model can provide the basis for a watershed-based plan (WBP) to address nonpoint sources of pollution that affect surface water quality. This specific WBP analysis will be used to make recommendations to protect the City of Orangeburg’s source of drinking water along the North Fork of the Edisto River.





To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.