Joe Ayotte is a supervisory hydrologist with the U.S. Geological Survey in Pembroke, NH. He presently coordinates multidisciplinary studies involving groundwater quality at the USGS New Hampshire - Vermont Office of the New England Water Science Center. Most recently, he has worked on national and regional studies of trace elements (primarily arsenic) in groundwater and has worked closely with the National Institutes of Health, National Cancer Institute and the Centers for Disease Control and Prevention on arsenic in drinking water supplies. He received his B.S. in Hydrology from the University of New Hampshire. He joined the USGS in 1987 and has been involved in many studies of groundwater and surface water resources in New England and the U.S.
Science and Products
Estimating the high-arsenic domestic-well population in the conterminous United States
Arsenic concentrations from 20 450 domestic wells in the U.S. were used to develop a logistic regression model of the probability of having arsenic >10 μg/L (“high arsenic”), which is presented at the county, state, and national scales. Variables representing geologic sources, geochemical, hydrologic, and physical features were among the...Ayotte, Joseph; Medalie, Laura; Qi, Sharon L.; Backer, Lorraine C.; Nolan, Bernard T.
Assessing models of arsenic occurrence in drinking water from bedrock aquifers in New Hampshire
Three existing multivariate logistic regression models were assessed using new data to evaluate the capacity of the models to correctly predict the probability of groundwater arsenic concentrations exceeding the threshold values of 1, 5, and 10 micrograms per liter (µg/L) in New Hampshire, USA. A recently released testing dataset includes arsenic...Andy, Caroline; Fahnestock, Maria Florencia; Lombard, Melissa; Hayes, Laura; Bryce, Julie; Ayotte, Joseph
Using groundwater age distributions to understand changes in methyl tert-butyl ether (MtBE) concentrations in ambient groundwater, northeastern United States
Temporal changes in methyl tert-butyl ether (MtBE) concentrations in groundwater were evaluated in the northeastern United States, an area of the nation with widespread low-level detections of MtBE based on a national survey of wells selected to represent ambient conditions. MtBE use in the U.S. peaked in 1999 and was largely discontinued by 2007...Lindsey, Bruce; Ayotte, Joseph; Jurgens, Bryant; DeSimone, Leslie A.
Arsenic hazard and associated health risks: New England, USA aquifers: Chapter A1
No abstract available.Ayotte, Joseph
Trends in methyl tert-butyl ether concentrations in private wells in southeast New Hampshire: 2005 to 2015
In southeast New Hampshire, where reformulated gasoline was used from the 1990s to 2007, methyl tert-butyl ether (MtBE) concentrations ≥0.2 μg/L were found in water from 26.7% of 195 domestic wells sampled in 2005. Ten years later in 2015, and eight years after MtBE was banned, 10.3% continue to have MtBE. Most wells (140 of 195) had no MtBE...Flanagan, Sarah; Levitt, Joseph; Ayotte, Joseph
Elevated bladder cancer in northern New England: The role of drinking water and arsenic
Background: Bladder cancer mortality rates have been elevated in northern New England for at least five decades. Incidence rates in Maine, New Hampshire, and Vermont are about 20% higher than the United States overall. We explored reasons for this excess, focusing on arsenic in drinking water from private wells, which are particularly prevalent in...Baris, Dalsu; Wadell, Richard; Freeman, Laura; Schwenn, Molly; Colt, Joanne; Ayotte, Joseph; Ward, Mary; Nuckols, John; Schned, Alan; Jackson, Brian; Clerkin, Castine; Rothman, Nathanial; Moore, Lee; Taylor, Anne; Robinson, Gilpin; Hosain, Monawar G.; Armenti, Carla; McCoy, Richard; Samanic, Claudine; Hoover, Robert; Fraumeni, Joseph; Johnson, Alison; Karagas, Margaret; Silverman, Debra
Predicting arsenic in drinking water wells of the Central Valley, California
Probabilities of arsenic in groundwater at depths used for domestic and public supply in the Central Valley of California are predicted using weak-learner ensemble models (boosted regression trees, BRT) and more traditional linear models (logistic regression, LR). Both methods captured major processes that affect arsenic concentrations, such as...Ayotte, Joseph; Nolan, Bernard T.; Gronberg, JoAnn M.