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Water quality monitoring records for estimating tap water arsenic and nitrate: a validation study

BACKGROUND: Tap water may be an important source of exposure to arsenic and nitrate. Obtaining and analyzing samples in the context of large studies of health effects can be expensive. As an alternative, studies might estimate contaminant levels in individual homes by using publicly available water...

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Autores principales: Searles Nielsen, Susan, Kuehn, Carrie M, Mueller, Beth A
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2827464/
https://www.ncbi.nlm.nih.gov/pubmed/20109206
http://dx.doi.org/10.1186/1476-069X-9-4
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author Searles Nielsen, Susan
Kuehn, Carrie M
Mueller, Beth A
author_facet Searles Nielsen, Susan
Kuehn, Carrie M
Mueller, Beth A
author_sort Searles Nielsen, Susan
collection PubMed
description BACKGROUND: Tap water may be an important source of exposure to arsenic and nitrate. Obtaining and analyzing samples in the context of large studies of health effects can be expensive. As an alternative, studies might estimate contaminant levels in individual homes by using publicly available water quality monitoring records, either alone or in combination with geographic information systems (GIS). METHODS: We examined the validity of records-based methods in Washington State, where arsenic and nitrate contamination is prevalent but generally observed at modest levels. Laboratory analysis of samples from 107 homes (median 0.6 μg/L arsenic, median 0.4 mg/L nitrate as nitrogen) served as our "gold standard." Using Spearman's rho we compared these measures to estimates obtained using only the homes' street addresses and recent and/or historical measures from publicly monitored water sources within specified distances (radii) ranging from one half mile to 10 miles. RESULTS: Agreement improved as distance decreased, but the proportion of homes for which we could estimate summary measures also decreased. When including all homes, agreement was 0.05-0.24 for arsenic (8 miles), and 0.31-0.33 for nitrate (6 miles). Focusing on the closest source yielded little improvement. Agreement was greatest among homes with private wells. For homes on a water system, agreement improved considerably if we included only sources serving the relevant system (ρ = 0.29 for arsenic, ρ = 0.60 for nitrate). CONCLUSIONS: Historical water quality databases show some promise for categorizing epidemiologic study participants in terms of relative tap water nitrate levels. Nonetheless, such records-based methods must be used with caution, and their use for arsenic may be limited.
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spelling pubmed-28274642010-02-24 Water quality monitoring records for estimating tap water arsenic and nitrate: a validation study Searles Nielsen, Susan Kuehn, Carrie M Mueller, Beth A Environ Health Methodology BACKGROUND: Tap water may be an important source of exposure to arsenic and nitrate. Obtaining and analyzing samples in the context of large studies of health effects can be expensive. As an alternative, studies might estimate contaminant levels in individual homes by using publicly available water quality monitoring records, either alone or in combination with geographic information systems (GIS). METHODS: We examined the validity of records-based methods in Washington State, where arsenic and nitrate contamination is prevalent but generally observed at modest levels. Laboratory analysis of samples from 107 homes (median 0.6 μg/L arsenic, median 0.4 mg/L nitrate as nitrogen) served as our "gold standard." Using Spearman's rho we compared these measures to estimates obtained using only the homes' street addresses and recent and/or historical measures from publicly monitored water sources within specified distances (radii) ranging from one half mile to 10 miles. RESULTS: Agreement improved as distance decreased, but the proportion of homes for which we could estimate summary measures also decreased. When including all homes, agreement was 0.05-0.24 for arsenic (8 miles), and 0.31-0.33 for nitrate (6 miles). Focusing on the closest source yielded little improvement. Agreement was greatest among homes with private wells. For homes on a water system, agreement improved considerably if we included only sources serving the relevant system (ρ = 0.29 for arsenic, ρ = 0.60 for nitrate). CONCLUSIONS: Historical water quality databases show some promise for categorizing epidemiologic study participants in terms of relative tap water nitrate levels. Nonetheless, such records-based methods must be used with caution, and their use for arsenic may be limited. BioMed Central 2010-01-28 /pmc/articles/PMC2827464/ /pubmed/20109206 http://dx.doi.org/10.1186/1476-069X-9-4 Text en Copyright ©2010 Searles Nielsen et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Methodology
Searles Nielsen, Susan
Kuehn, Carrie M
Mueller, Beth A
Water quality monitoring records for estimating tap water arsenic and nitrate: a validation study
title Water quality monitoring records for estimating tap water arsenic and nitrate: a validation study
title_full Water quality monitoring records for estimating tap water arsenic and nitrate: a validation study
title_fullStr Water quality monitoring records for estimating tap water arsenic and nitrate: a validation study
title_full_unstemmed Water quality monitoring records for estimating tap water arsenic and nitrate: a validation study
title_short Water quality monitoring records for estimating tap water arsenic and nitrate: a validation study
title_sort water quality monitoring records for estimating tap water arsenic and nitrate: a validation study
topic Methodology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2827464/
https://www.ncbi.nlm.nih.gov/pubmed/20109206
http://dx.doi.org/10.1186/1476-069X-9-4
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