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Evaluating Geologic Sources of Arsenic in Well Water in Virginia (USA)

We investigated if geologic factors are linked to elevated arsenic (As) concentrations above 5 μg/L in well water in the state of Virginia, USA. Using geologic unit data mapped within GIS and two datasets of measured As concentrations in well water (one from public wells, the other from private well...

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Autores principales: VanDerwerker, Tiffany, Zhang, Lin, Ling, Erin, Benham, Brian, Schreiber, Madeline
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5923829/
https://www.ncbi.nlm.nih.gov/pubmed/29670010
http://dx.doi.org/10.3390/ijerph15040787
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author VanDerwerker, Tiffany
Zhang, Lin
Ling, Erin
Benham, Brian
Schreiber, Madeline
author_facet VanDerwerker, Tiffany
Zhang, Lin
Ling, Erin
Benham, Brian
Schreiber, Madeline
author_sort VanDerwerker, Tiffany
collection PubMed
description We investigated if geologic factors are linked to elevated arsenic (As) concentrations above 5 μg/L in well water in the state of Virginia, USA. Using geologic unit data mapped within GIS and two datasets of measured As concentrations in well water (one from public wells, the other from private wells), we evaluated occurrences of elevated As (above 5 μg/L) based on geologic unit. We also constructed a logistic regression model to examine statistical relationships between elevated As and geologic units. Two geologic units, including Triassic-aged sedimentary rocks and Triassic-Jurassic intrusives of the Culpeper Basin in north-central Virginia, had higher occurrences of elevated As in well water than other geologic units in Virginia. Model results support these patterns, showing a higher probability for As occurrence above 5 μg/L in well water in these two units. Due to the lack of observations (<5%) having elevated As concentrations in our data set, our model cannot be used to predict As concentrations in other parts of the state. However, our results are useful for identifying areas of Virginia, defined by underlying geology, that are more likely to have elevated As concentrations in well water. Due to the ease of obtaining publicly available data and the accessibility of GIS, this study approach can be applied to other areas with existing datasets of As concentrations in well water and accessible data on geology.
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spelling pubmed-59238292018-05-03 Evaluating Geologic Sources of Arsenic in Well Water in Virginia (USA) VanDerwerker, Tiffany Zhang, Lin Ling, Erin Benham, Brian Schreiber, Madeline Int J Environ Res Public Health Article We investigated if geologic factors are linked to elevated arsenic (As) concentrations above 5 μg/L in well water in the state of Virginia, USA. Using geologic unit data mapped within GIS and two datasets of measured As concentrations in well water (one from public wells, the other from private wells), we evaluated occurrences of elevated As (above 5 μg/L) based on geologic unit. We also constructed a logistic regression model to examine statistical relationships between elevated As and geologic units. Two geologic units, including Triassic-aged sedimentary rocks and Triassic-Jurassic intrusives of the Culpeper Basin in north-central Virginia, had higher occurrences of elevated As in well water than other geologic units in Virginia. Model results support these patterns, showing a higher probability for As occurrence above 5 μg/L in well water in these two units. Due to the lack of observations (<5%) having elevated As concentrations in our data set, our model cannot be used to predict As concentrations in other parts of the state. However, our results are useful for identifying areas of Virginia, defined by underlying geology, that are more likely to have elevated As concentrations in well water. Due to the ease of obtaining publicly available data and the accessibility of GIS, this study approach can be applied to other areas with existing datasets of As concentrations in well water and accessible data on geology. MDPI 2018-04-18 2018-04 /pmc/articles/PMC5923829/ /pubmed/29670010 http://dx.doi.org/10.3390/ijerph15040787 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
VanDerwerker, Tiffany
Zhang, Lin
Ling, Erin
Benham, Brian
Schreiber, Madeline
Evaluating Geologic Sources of Arsenic in Well Water in Virginia (USA)
title Evaluating Geologic Sources of Arsenic in Well Water in Virginia (USA)
title_full Evaluating Geologic Sources of Arsenic in Well Water in Virginia (USA)
title_fullStr Evaluating Geologic Sources of Arsenic in Well Water in Virginia (USA)
title_full_unstemmed Evaluating Geologic Sources of Arsenic in Well Water in Virginia (USA)
title_short Evaluating Geologic Sources of Arsenic in Well Water in Virginia (USA)
title_sort evaluating geologic sources of arsenic in well water in virginia (usa)
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5923829/
https://www.ncbi.nlm.nih.gov/pubmed/29670010
http://dx.doi.org/10.3390/ijerph15040787
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