Modeling the probability of arsenic in groundwater in New England as a tool for exposure assessment.

@article{Ayotte2006ModelingTP,
  title={Modeling the probability of arsenic in groundwater in New England as a tool for exposure assessment.},
  author={Joseph D Ayotte and Bernard T. Nolan and John R. Nuckols and Kenneth P. Cantor and Gilpin R. Robinson and Dalsu Baris and L. Hayes and Margaret R. Karagas and William Bress and Debra T. Silverman and Jay H. Lubin},
  journal={Environmental science & technology},
  year={2006},
  volume={40 11},
  pages={3578-85}
}
We developed a process-based model to predict the probability of arsenic exceeding 5 microg/L in drinking water wells in New England bedrock aquifers. The model is being used for exposure assessment in an epidemiologic study of bladder cancer. One important study hypothesis that may explain increased bladder cancer risk is elevated concentrations of inorganic arsenic in drinking water. In eastern New England, 20-30% of private wells exceed the arsenic drinking water standard of 10 micrograms… CONTINUE READING

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References

Publications referenced by this paper.
Showing 1-10 of 27 references

Use of spatial statistics and isotopic tracers to measure the influence of arsenical pesticide use on stream sediment chemistry in New England

G. R. Robinson, R. A. Ayuso
Appl . Geochem . • 2004

A comparative analysis of favorability mappings by weights of evidence , probabilistic neural networks , discriminant analysis , and logisitc regression

D. Harris, L. Zurcher, M. Stanley, J. Marlow, G. Pan
Nat . Resour . Res . • 2003

Cautions and suggestions for geochemical sampling in fractured rock

A. M. Shapiro
Ground Water Monit . Rem . • 2002

Hydrogeologic significance of the association between well - yield variography and bedrock geologic structures , Pi - nardville Quadrangle , New Hampshire

L. J. Drew, M. R. Karlinger, J. H. Schuenenmeyer, T. R. Armstrong
Nat . Resour . Res . • 2002

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