TY - GEN
T1 - New tools to define the impact of stormwater on receiving surface waters
AU - Brion, G. M.
AU - Thurvas, N. R.
AU - Lingireddy, S.
PY - 2004
Y1 - 2004
N2 - The first flush effect brings a multitude of contaminants into surface waters from storm sewers, overflowing domestic sewers, and surface scour. Contained in the first flush are large numbers of pathogen indicators, and potentially pathogens. The pathogen indicators could represent a significant health threat to communities that use storm impacted surface waters for drinking water supplies. However, commonly used bacterial indicators do not provide information about fecal source and age, critical pieces of information required to determine potential pathogen risk and impact. Yet, municipalities face the daunting prospect of prioritizing the installation of best management practices in the absence of easily applied methodologies to sort out the numerous sources of pathogen indicators and quantify the risk each proposes. This paper will present some new analytical and modeling tools that could be of use to municipalities. The first tool is a unique bacterial ratio that varies with age relative to human sewage. The second tool is a neural network modeling approach for classification and ranking of stormwater impacts. Together these tools can point to the predominant stormwater sources in a watershed that bring the freshest, human or agricultural animal impacted, wastes into drinking water supplies. Copyright ASCE 2004.
AB - The first flush effect brings a multitude of contaminants into surface waters from storm sewers, overflowing domestic sewers, and surface scour. Contained in the first flush are large numbers of pathogen indicators, and potentially pathogens. The pathogen indicators could represent a significant health threat to communities that use storm impacted surface waters for drinking water supplies. However, commonly used bacterial indicators do not provide information about fecal source and age, critical pieces of information required to determine potential pathogen risk and impact. Yet, municipalities face the daunting prospect of prioritizing the installation of best management practices in the absence of easily applied methodologies to sort out the numerous sources of pathogen indicators and quantify the risk each proposes. This paper will present some new analytical and modeling tools that could be of use to municipalities. The first tool is a unique bacterial ratio that varies with age relative to human sewage. The second tool is a neural network modeling approach for classification and ranking of stormwater impacts. Together these tools can point to the predominant stormwater sources in a watershed that bring the freshest, human or agricultural animal impacted, wastes into drinking water supplies. Copyright ASCE 2004.
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U2 - 10.1061/40569(2001)26
DO - 10.1061/40569(2001)26
M3 - Conference contribution
AN - SCOPUS:75649131887
SN - 0784405697
SN - 9780784405697
T3 - Bridging the Gap: Meeting the World's Water and Environmental Resources Challenges - Proceedings of the World Water and Environmental Resources Congress 2001
BT - Bridging the Gap
T2 - World Water and Environmental Resources Congress 2001
Y2 - 20 May 2001 through 24 May 2001
ER -
