Utilizing GIS and Land Management Data to Assess Small Community Wastewater
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Hood College Biology
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Biomedical and Environmental Science
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Abstract
There is a need for an assessment tool that will allow jurisdictions to identify
communities where failing onsite sewage disposal systems are likely to occur. By
identifying risk factors associated with failing onsite sewage systems, a geographic map
of high-risk areas can be created. After reviewing records of existing onsite sewage
disposal systems, a logistic regression analysis was performed using system failure as the
dependent variable and system age, parcel size and soils as independent variables.
System age and parcel size were both significant, .002 and .004 respectively, with older
systems and smaller parcels being associated with failing systems. Soil was not
significant, .216. By utilizing the regression analysis, a predicted probability of failure
value was assigned to each of the 6,254 parcels in the Catoctin Creek watershed. These
probabilities were mapped which resulted in an effective assessment tool for predicting
onsite wastewater system failure.
