Melissa A Lombard
Melissa Lombard is a Research Hydrologist in the New England Water Science Center.
In the broadest sense, Melissa's work is at the intersection of humans and the environment. Her research interests include connecting environmental geochemistry with human and ecosystem health. She uses machine learning models as a tool to understand, estimate, and predict contaminant occurrence in groundwater. She enjoys collaborating with epidemiologists and public health scientists to link the occurrence of contaminants in drinking water to human health outcomes. Melissa currently oversees and coordinates research at the USGS related to PFAS contamination of groundwater on Cape Cod, Massachusetts. Prior to joining the USGS, her research included examining the potential human health effects from exposure to biodiesel and petroleum diesel emissions, the occurrence of mercury in rainwater, and the occurrence of pesticides and herbicides in groundwater. She has also worked with K-12 science educators and taught college level courses in geology and environmental science.
Professional Experience
Research Hydrologist, U.S. Geological Survey, New England Water Science Center, 2022 to Present
Hydrologist, U.S. Geological Survey, New England Water Science Center, 2017 to 2022
Lecturer, University of New Hampshire, 2016 to 2017
Visiting Assistant Professor, Georgia Southern University, 2014 to 2016
Senior Enforcement Specialist, New Hampshire Department of Environmental Services, 2013 to 2014
Research Assistant and Adjunct Professor, Keene State College, 2011 to 2013
Education and Certifications
Ph.D. Earth and Environmental Science, University of New Hampshire, 2012
M.S. Geology, Rensselaer Polytechnic Institute, 2002
B.A. Geoscience, William Smith College, 1995
Licensed Professional Geologist, State of New Hampshire
Affiliations and Memberships*
Geological Society of New Hampshire
Geological Society of America
American Geophysical Union
Science and Products
Associations between private well water and community water supply arsenic concentrations in the conterminous United States Associations between private well water and community water supply arsenic concentrations in the conterminous United States
Machine learning models of arsenic in private wells throughout the conterminous United States as a tool for exposure assessment in human health studies Machine learning models of arsenic in private wells throughout the conterminous United States as a tool for exposure assessment in human health studies
Assessing the impact of drought on arsenic exposure from private domestic wells in the conterminous United States Assessing the impact of drought on arsenic exposure from private domestic wells in the conterminous United States
A multi-model approach toward understanding iron fouling at rock-fill drainage sites along roadways in New Hampshire, USA A multi-model approach toward understanding iron fouling at rock-fill drainage sites along roadways in New Hampshire, USA
Estimating domestic well locations and populations served in the contiguous U.S. for years 2000 and 2010 Estimating domestic well locations and populations served in the contiguous U.S. for years 2000 and 2010
Assessing models of arsenic occurrence in drinking water from bedrock aquifers in New Hampshire Assessing models of arsenic occurrence in drinking water from bedrock aquifers in New Hampshire
Non-USGS Publications**
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.
Concentrations of arsenic in water from public supply and domestic wells in New Hampshire Concentrations of arsenic in water from public supply and domestic wells in New Hampshire
Testing dataset for independent analysis of New Hampshire arsenic model Testing dataset for independent analysis of New Hampshire arsenic model
Science and Products
Associations between private well water and community water supply arsenic concentrations in the conterminous United States Associations between private well water and community water supply arsenic concentrations in the conterminous United States
Machine learning models of arsenic in private wells throughout the conterminous United States as a tool for exposure assessment in human health studies Machine learning models of arsenic in private wells throughout the conterminous United States as a tool for exposure assessment in human health studies
Assessing the impact of drought on arsenic exposure from private domestic wells in the conterminous United States Assessing the impact of drought on arsenic exposure from private domestic wells in the conterminous United States
A multi-model approach toward understanding iron fouling at rock-fill drainage sites along roadways in New Hampshire, USA A multi-model approach toward understanding iron fouling at rock-fill drainage sites along roadways in New Hampshire, USA
Estimating domestic well locations and populations served in the contiguous U.S. for years 2000 and 2010 Estimating domestic well locations and populations served in the contiguous U.S. for years 2000 and 2010
Assessing models of arsenic occurrence in drinking water from bedrock aquifers in New Hampshire Assessing models of arsenic occurrence in drinking water from bedrock aquifers in New Hampshire
Non-USGS Publications**
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.
Concentrations of arsenic in water from public supply and domestic wells in New Hampshire Concentrations of arsenic in water from public supply and domestic wells in New Hampshire
Testing dataset for independent analysis of New Hampshire arsenic model Testing dataset for independent analysis of New Hampshire arsenic model
*Disclaimer: Listing outside positions with professional scientific organizations on this Staff Profile are for informational purposes only and do not constitute an endorsement of those professional scientific organizations or their activities by the USGS, Department of the Interior, or U.S. Government