Frontiers in assessing septic systems vulnerability in coastal Georgia, USA: Modeling approach and management implications.

Threats to public health and environmental quality from septic systems are more prevalent in areas with poorly draining soils, high water tables, or frequent flooding. Significant research gaps exist in assessing these systems' vulnerability and evaluating factors associated with higher rates o...

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Autores principales: Nahal Hoghooghi, J Scott Pippin, Brian K Meyer, John B Hodges, Brian P Bledsoe
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Publicado: Public Library of Science (PLoS) 2021
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Acceso en línea:https://doaj.org/article/be6ee5ad533842cf9fce8474e033227e
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spelling oai:doaj.org-article:be6ee5ad533842cf9fce8474e033227e2021-12-02T20:19:35ZFrontiers in assessing septic systems vulnerability in coastal Georgia, USA: Modeling approach and management implications.1932-620310.1371/journal.pone.0256606https://doaj.org/article/be6ee5ad533842cf9fce8474e033227e2021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0256606https://doaj.org/toc/1932-6203Threats to public health and environmental quality from septic systems are more prevalent in areas with poorly draining soils, high water tables, or frequent flooding. Significant research gaps exist in assessing these systems' vulnerability and evaluating factors associated with higher rates of septic systems replacement and repair. We developed a novel GIS-based framework for assessing septic system vulnerability using a database of known septic system specifications and a modified Soil Topographic Index (STI) that incorporates seasonal high groundwater elevation to assess risks posed to septic systems in coastal Georgia. We tested the hypothesis that both the modified STI and septic system specifications such as tank capacity per bedroom and drainfield type would explain most of the variance in septic system repair and replacement using classification inference tree and generalized logistic regression models. Our modeling results indicate that drainfield type (level vs. mounded) is the most significant variable (p-value < 0.001) in predicting septic systems functionality followed by septic tank capacity per bedroom (p-value < 0.01). These show the importance of septic system design regulations such as a minimum requirement for horizontal separation distance between the bottom of trenches and seasonal water table, and adequate tank capacity design. However, for septic systems with a mounded drainfield and a larger tank capacity per bedroom, the modified STI representing hydrological characteristics of septic system location is a significant predictor of a high septic system repair and replacement rate. The methodology developed in this study can have important implications for managing existing septic systems and planning for future development in coastal areas, especially in an environment of rapid climatic change.Nahal HoghooghiJ Scott PippinBrian K MeyerJohn B HodgesBrian P BledsoePublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 8, p e0256606 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Nahal Hoghooghi
J Scott Pippin
Brian K Meyer
John B Hodges
Brian P Bledsoe
Frontiers in assessing septic systems vulnerability in coastal Georgia, USA: Modeling approach and management implications.
description Threats to public health and environmental quality from septic systems are more prevalent in areas with poorly draining soils, high water tables, or frequent flooding. Significant research gaps exist in assessing these systems' vulnerability and evaluating factors associated with higher rates of septic systems replacement and repair. We developed a novel GIS-based framework for assessing septic system vulnerability using a database of known septic system specifications and a modified Soil Topographic Index (STI) that incorporates seasonal high groundwater elevation to assess risks posed to septic systems in coastal Georgia. We tested the hypothesis that both the modified STI and septic system specifications such as tank capacity per bedroom and drainfield type would explain most of the variance in septic system repair and replacement using classification inference tree and generalized logistic regression models. Our modeling results indicate that drainfield type (level vs. mounded) is the most significant variable (p-value < 0.001) in predicting septic systems functionality followed by septic tank capacity per bedroom (p-value < 0.01). These show the importance of septic system design regulations such as a minimum requirement for horizontal separation distance between the bottom of trenches and seasonal water table, and adequate tank capacity design. However, for septic systems with a mounded drainfield and a larger tank capacity per bedroom, the modified STI representing hydrological characteristics of septic system location is a significant predictor of a high septic system repair and replacement rate. The methodology developed in this study can have important implications for managing existing septic systems and planning for future development in coastal areas, especially in an environment of rapid climatic change.
format article
author Nahal Hoghooghi
J Scott Pippin
Brian K Meyer
John B Hodges
Brian P Bledsoe
author_facet Nahal Hoghooghi
J Scott Pippin
Brian K Meyer
John B Hodges
Brian P Bledsoe
author_sort Nahal Hoghooghi
title Frontiers in assessing septic systems vulnerability in coastal Georgia, USA: Modeling approach and management implications.
title_short Frontiers in assessing septic systems vulnerability in coastal Georgia, USA: Modeling approach and management implications.
title_full Frontiers in assessing septic systems vulnerability in coastal Georgia, USA: Modeling approach and management implications.
title_fullStr Frontiers in assessing septic systems vulnerability in coastal Georgia, USA: Modeling approach and management implications.
title_full_unstemmed Frontiers in assessing septic systems vulnerability in coastal Georgia, USA: Modeling approach and management implications.
title_sort frontiers in assessing septic systems vulnerability in coastal georgia, usa: modeling approach and management implications.
publisher Public Library of Science (PLoS)
publishDate 2021
url https://doaj.org/article/be6ee5ad533842cf9fce8474e033227e
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