Hydrogeology, Groundwater, Contaminants and Pollution
I am a Research Hydrologist with the U.S. Geological Survey, Upper Midwest Water Science Center, in the Twin Cities. I am the Team Leader for the Center’s Groundwater Characterization Team, and I am a groundwater contaminant subject matter expert on several interdisciplinary project teams. I have been working in the hydrogeology field since 1993, starting first in environmental consulting and then moving into groundwater-related research in 1998. I was a research scientist for the Minnesota Department of Health and the Minnesota Pollution Control Agency before moving to the federal government with USGS in 2009. My favorite research topic is occurrence, geochemistry, and mobilization of arsenic in natural groundwater systems. Developing models for the behavior of arsenic in the natural environment is elusive due to its complex associations with other metals and minerals, and the interplay of redox, pH, biogeochemistry, and hydrogeology. Even after 20 years of arsenic research, I continue to be fascinated.
Erickson, ML, SM Elliott, CJ Brown, PE Stackelberg, KM Ransom, JE Reddy, and CA Cravotta III. 2021. Using machine learning to predict high arsenic and high manganese at drinking water depths of the Glacial Aquifer System, northern continental United States. Environmental Science & Technology, 55(9), 5791-5805. https://doi.org/10.1021/acs.est.0c06740.
Erickson, ML, SM Elliott, CJ Brown, PE Stackelberg, KM Ransom, and JE Reddy. 2021. Machine Learning Predicted Redox Conditions in the Glacial Aquifer System, Northern Continental United States. Water Resources Research. 57(4), e2020WR028207. https://doi.org/10.1029/2020WR028207.
Stackelberg, PE, K Belitz, CJ Brown, ML Erickson, SM Elliott, LJ Kauffman, KM Ransom, and JE Reddy. 2021. Machine learning predictions of pH in the glacial aquifer system, northern USA. Groundwater. 59(3), 352-368. https://doi.org/10.1111/gwat.13063.
Erickson, ML, ED Swanner, BA Ziegler, JR Having. 2021. Acute and chronic arsenic hazards in newly drilled domestic wells: short- and long-term drinking water quality implications. Journal of Hazardous Materials, Special Issue “Managing arsenic in the environment: From source to sink.” 414, 125409. https://doi.org/10.1016/j.jhazmat.2021.125409.
Stetson, SJ, ML Erickson, J Brenner, EC Berquist, C Kanagy, S Whitcomb, C Lawrence. 2021. Stability of inorganic and methylated arsenic species in laboratory standards, surface water and groundwater under three different preservation regimes. 125, 104814. Applied Geochemistry. https://doi.org/10.1016/j.apgeochem.2020.104814.
Degnan, JR, JP Levitt, ML Erickson, BC Jurgens, BD Lindsey, JD Ayotte. 2020. Time scales of arsenic variability and the role of high-frequency monitoring at three water-supply wells in New Hampshire, USA. Science of the Total Environment, V. 709 (2020) 135946. https://doi.org/10.1016/j.scitotenv.2019.135946.
Erickson, ML, HF Malenda, EC Berquist, JD Ayotte. 2019. Arsenic concentrations after drinking water well installation: Time-varying effects on arsenic mobilization. Science of the Total Environment, 678. pp 681-691. https://doi.org/10.1016/j.scitotenv.2019.04.362.
Erickson, ML, SM Elliott, CA Christenson, and AL Krall. 2018. Predicting geogenic arsenic in drinking water wells in glacial aquifers, north-central USA: accounting for depth-dependent features. Water Resources Research. 54(12). https://doi.org/10.1029/2018WR023106.
Nicholas S, ML Erickson, LG Woodruff, AR Knaeble, MA Marcus, JK Lynch, and BM Toner, 2017. Solid -phase arsenic speciation in aquifer sediments: a micro-X-ray absorption spectroscopy approach for quantifying trace-level speciation. Geochimica et CosmochimicaActa., 211, pp 228-255.