Michael J. Friedel, Ph.D.
Senior Scientist, Visiting and Adjunct Professor
email: mfriedel@usgs.gov; telephone: 303.236.7790
Research and projects

Current

  • Calibration/uncertainty methods for unsaturated dual permeability models
  • Climate-change effects and socioeconomics of the United States
  • Data-driven economic filter for mineral and other assessments
  • Efficacy of reactive barriers to mitigation of mine tailings drainage
  • Estimating hydrogeologic properties from magnetic resonance imaging data
  • Forecasting climate-change effects on groundwater recharge
  • Joint geophysical ground water inversions
  • Metal mine waste speciation and toxicity effects on aquatic receptors
  • Mitigation of reactive mine-waste discharge in aquatic ecosystems
  • Modeling 2,000 years of global temperature change and solar activity
  • Nonlinear synthesis of sparse and multivariate ecosystem data sets
  • Nonparametric modeling of autocorrelated variables for inverse problems
  • Predicting hydrometeorologic hazards in coastal Sao Paulo, Brazil
  • Scaling equations for ground-water recharge variables
  • Writing 3 chapters for 2nd edition of Unsaturated Zone Hydrology, Tindall et al.

Recent (past 5 years)

  • Developed hydrogeologic map of Mauritania, Africa
  • Development of dual permeability and reactive transport models
  • Devised flood warning system for government of Haiti
  • Forecast change in ecological integrity for Chicago area
  • Hillslope soil-chemical weathering in Parana state, Brazil
  • Hybrid applications for location and characterizing unexploded ordinance
  • Joint inversion of seismic/magnetotelluric models to improve crustal imaging
  • Joint inverse estimation of extreme rainfall in ungauged basins
  • Joint prediction of well yield in fractured aquifers, northeastern Brazil
  • Modeling hydrologic and geomorphic hazards across post-fire landscapes
  • Mitigation of ground-water flooding in Bishkek region of Kyrgyzstan
  • Optimization of stochastic reservoir operations 
  • Post-fire debris flow prediction using data mining and knowledge discovery
  • Predicted range of likely flooding in ungaged basins
  • Quantifying streamflow uncertainty in ungaged basins
  • Stochastic assessment of undiscovered mineral resources
  • Stochastic reservoir operational effects on quantity and quality 

 

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