ArticleEnvironmental science & technology2011
Spatial modeling for groundwater arsenic levels in North Carolina.
Article in Environmental science & technology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed.
- Private Well Testing in Peri-Urban African-American Communities Lacking Access to Regulated Municipal Drinking Water: A Mental Models Approach to Risk Communication.Risk analysis : an official publication of the Society for Risk Analysis · 2022Trial
- Towards Understanding Factors Affecting Arsenic, Chromium, and Vanadium Mobility in the Subsurface.Water · 2022Article
- Analysis of the novel NCWELL database highlights two decades of co-occurrence of toxic metals in North Carolina private well water: Public health and environmental justice implications.The Science of the total environment · 2022Article
- Machine Learning Models of Arsenic in Private Wells Throughout the Conterminous United States As a Tool for Exposure Assessment in Human Health Studies.Environmental science & technology · 2021Article
- Evaluating Geologic Sources of Arsenic in Well Water in Virginia (USA).International journal of environmental research and public health · 2018Article
- Seeking evidence of multidisciplinarity in environmental geochemistry and health: an analysis of arsenic in drinking water research.Environmental geochemistry and health · 2018Article
- Estimating the High-Arsenic Domestic-Well Population in the Conterminous United States.Environmental science & technology · 2017Article
- Use of Principal Components Analysis and Kriging to Predict Groundwater-Sourced Rural Drinking Water Quality in Saskatchewan.International journal of environmental research and public health · 2017Article
- Incorporating ToxCast and Tox21 datasets to rank biological activity of chemicals at Superfund sites in North Carolina.Environment international · 2017Article
- Spatial Analysis of Human Health Risk Due to Arsenic Exposure through Drinking Groundwater in Taiwan's Pingtung Plain.International journal of environmental research and public health · 2017Article
- Health risk assessment of groundwater arsenic pollution in southern Taiwan.Environmental geochemistry and health · 2016Article
- Flow and sorption controls of groundwater arsenic in individual boreholes from bedrock aquifers in central Maine, USA.The Science of the total environment · 2015Article
- Nitrate variability in groundwater of North Carolina using monitoring and private well data models.Environmental science & technology · 2014Article
- Association between arsenic, cadmium, manganese, and lead levels in private wells and birth defects prevalence in North Carolina: a semi-ecologic study.BMC public health · 2014Article
- Predicting arsenic concentrations in groundwater of San Luis Valley, Colorado: implications for individual-level lifetime exposure assessment.Environmental geochemistry and health · 2014Article
- Bayesian Spatial Design of Optimal Deep Tubewell Locations in Matlab, Bangladesh.Environmetrics · 2013Article
- Can arsenic occurrence rates in bedrock aquifers be predicted?Environmental science & technology · 2012Article
- Arsenic in North Carolina: public health implications.Environment international · 2012Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
To examine environmental and geologic determinants of arsenic in groundwater, detailed geologic data were integrated with well water arsenic concentration data and well construction data for 471 private wells in Orange County, NC, via a geographic information system. For the statistical analysis, the geologic units were simplified into four generalized categories based on rock type and interpreted mode of deposition/emplacement. The geologic transitions from rocks of a primary pyroclastic origin to rocks of volcaniclastic sedimentary origin were designated as polylines. The data were fitted to a left-censored regression model to identify key determinants of arsenic levels in groundwater. A Bayesian spatial random effects model was then developed to capture any spatial patterns in groundwater arsenic residuals into model estimation. Statistical model results indicate (1) wells close to a transition zone or fault are more likely to contain detectible arsenic; (2) welded tuffs and hydrothermal quartz bodies are associated with relatively higher groundwater arsenic concentrations and even higher for those proximal to a pluton; and (3) wells of greater depth are more likely to contain elevated arsenic. This modeling effort informs policy intervention by creating three-dimensional maps of predicted arsenic levels in groundwater for any location and depth in the area.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.