Reconstructing Historical Exposures to Volatile Organic Compound-Contaminated Drinking Water at a U.S. Military Base

Maslia, Morris L.; Aral, Mustafa M.; Faye, Robert E.; Suárez-Soto, R. J.; Sautner, J. B.; Wang, J.; Jang, Wook; Bove, Frank; Ruckart, Perri Zeitz

doi:10.1007/s12403-009-0010-y

Cited by 11 publications

(27 citation statements)

References 14 publications

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“…Summaries of results of the historical reconstruction analyses within the Hadnot Point and Holcomb Boulevard areas are discussed and presented in this section of this paper (see [4,5] for historical reconstruction analyses for Tarawa Terrace and vicinity). Results are presented for the following analyses: (1) …”

Section: Historical Reconstruction Analyses and Resultsmentioning

confidence: 99%

“…Characteristically, historical reconstruction includes information gathering and data mining activities and the application of simulation tools, such as models, to re-create or represent past conditions [1,4,5,[15][16][17][18][19][20][21]. For ATSDR's drinking-water exposure analyses at USMCB Camp Lejeune, methods included linking materials mass balance (mixing) and water-distribution system models to groundwater-flow and contaminant fate and transport models [1,4,5]. Historical reconstruction results for contaminant-specific concentrations were needed at monthly intervals for the purposes of the epidemiological studies.…”

Section: Historical Reconstruction Methodsmentioning

confidence: 99%

“…Within the Tarawa Terrace WTP service area, groundwater was contaminated mostly with PCE. An off-base dry-cleaning facility (ABC One-Hour Dry Cleaners- Figure 1) was identified as being responsible for contaminating several on-base water-supply wells at Tarawa Terrace [4,5,14]. Maximum measured concentrations of selected contaminants within the study areas have been documented as follows [1,4,9,11]:…”

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confidence: 99%

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Reconstructing Historical Voc Concentrations in Drinking Water for Epidemiological Studies at a U.S. Military Base: Summary of Results

Maslia¹,

Aral²,

Ruckart³

et al. 2016

Preprint

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A U.S. government health agency conducted epidemiological studies to evaluate whether exposures to drinking water contaminated with volatile organic compounds (VOC) at U.S. Marine Corps Base Camp Lejeune, North Carolina, were associated with increased health risks to children and adults. These health studies required knowledge of contaminant concentrations in drinking water-at monthly intervals-delivered to family housing, barracks, and other facilities within the study area. Because concentration data were limited or unavailable during much of the period of contamination (1950s-1985), the historical reconstruction process was used to quantify estimates of monthly mean contaminant-specific concentrations. This paper integrates many efforts, reports, and papers into a synthesis of the overall approach to, and results from, a drinking-water historical reconstruction study. Results show that at the Tarawa Terrace water treatment plant (WTP) reconstructed ( Author Contributions: All authors contributed to the research discussed in this article. Morris L. Maslia oversaw and directed the water-modeling analyses and Mustafa M. Aral contributed to the development of the water-supply well operation reconstructions, numerical modeling, and probabilistic analysis. Perri Z. Ruckart and Frank J. Bove developed the epidemiological studies protocols for application of water-modeling analyses and conducted the epidemiological studies.

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Section: Historical Reconstruction Analyses and Resultsmentioning

confidence: 99%

Section: Historical Reconstruction Methodsmentioning

confidence: 99%

mentioning

confidence: 99%

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Reconstructing Historical Voc Concentrations in Drinking Water for Epidemiological Studies at a U.S. Military Base: Summary of Results

Maslia¹,

Aral²,

Ruckart³

et al. 2016

Preprint

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“…Such toxicants are potentially significant contributors to human disease (1–3), and are found in food supplies (4–6), water supplies (7) and in commercial products (8). Current methods for the detection of these chemical toxicants generally require multiple steps: (a) extraction of the toxicants from the environment (9); (b) purification of the toxicants via high-performance liquid chromatography (10) or gas chromatography (11) and (c) detection of the toxicants by mass spectrometry (12) or fluorescence spectroscopy (13).…”

Section: Introductionmentioning

confidence: 99%

Cyclodextrin-promoted energy transfer for broadly applicable small-molecule detection

Serio

Chanthalyma

Prignano

et al. 2014

Supramolecular Chemistry

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Reported herein is the development of non-covalent, proximity-induced energy transfer from small-molecule toxicants to organic fluorophores bound in the cavity of γ-cyclodextrin. This energy transfer occurs with exceptional efficiency for a broad range of toxicants in complex biological media, and is largely independent of the spectral overlap between the donor and acceptor. This generally applicable phenomenon has significant potential in the development of new turn-on detection schemes.

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“…For example, the article by Maslia et al (2009) provides a detailed discussion of extremely complex analyses utilizing several research-type (numerical) models in a probabilistic analysis. In that study, these models and analyses were chosen because environmental health scientists and public health officials need to determine if associations exist between historical exposures to contaminated drinking water and specific birth defects and childhood cancers.…”

Section: Introductionmentioning

confidence: 99%

Stochastic Analysis of Pesticide Transport in the Shallow Groundwater of Oatland Island, Georgia, USA

Anderson

Maslia

Caparoso

et al. 2010

Water Qual Expo Health

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Analytical models, when used in stochastic analysis mode, may provide an effective tool for making informed management decisions for simplified environmental systems. This approach was used to evaluate migration of an organochlorine pesticide plume in a shallow, unconfined aquifer underlying a barrier island in coastal Georgia, USA. The contaminant plume at the site consists of four isomers of benzene hexachloride (BHC), also known as hexachlorocyclohexane (HCH). The deterministic analysis conducted at the site, which used calibrated, single-value Parts of the article were created within the capacity of a US governmental employment and therefore public domain. Published by Springer Science+Business Media B.V. 2010. input parameters, indicates that the contaminant plume will not reach wetlands that are downgradient of the source. Given the uncertainties involved in the deterministic analysis, this outcome was not considered to be sufficient to make effective management decisions at the site. Subsequently, probabilistic analysis using a range of input parameter values was conducted to estimate the risk that the pesticide plume would reach the downgradient wetlands. The twostage Monte Carlo analysis that was conducted indicates the probability that contaminant levels will exceed the detection limit of BHC (0.044 micrograms per liter) at the wetlands increases from 1 percent to a maximum of 13 percent during the period 2005-2065. This represents an 87% or greater confidence level that the pesticide plume will not reach the wetlands. This outcome was used to inform environmental management decisions at the site. The modeling analysis was conducted using the publicly available analytical contaminant transport analysis system (ACTS) software.

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Reconstructing Historical Exposures to Volatile Organic Compound-Contaminated Drinking Water at a U.S. Military Base

Cited by 11 publications

References 14 publications

Reconstructing Historical Voc Concentrations in Drinking Water for Epidemiological Studies at a U.S. Military Base: Summary of Results

Reconstructing Historical Voc Concentrations in Drinking Water for Epidemiological Studies at a U.S. Military Base: Summary of Results

Cyclodextrin-promoted energy transfer for broadly applicable small-molecule detection

Stochastic Analysis of Pesticide Transport in the Shallow Groundwater of Oatland Island, Georgia, USA

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