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

Current

  • Calibration and uncertainty methods for unsaturated dual conductivity models
  • Data driven forecasting of climate change effects on ground water recharge
  • Development of scaling equations for groundwater recharge using evolutionary heuristics
  • Efficacy of reactive barriers to mitigation mine tailings drainage
  • Estimating 2000 years of climate change in southwestern US using an unsupervised ANN
  • Evaluation of measures to mitigate ground-water flooding in Bishkek region of Kyrgyzstan
  • Evaluating the effects of positioning errors on accuracy of species distribution models
  • Forecasting climate change effects on the US economy using vector quantization
  • Intelligent forecasting of climate-change effects across post-fire landscapes
  • Inverse and data mining applications for identifying unexploded ordinance
  • Joint prediction of well yield in northeastern Brazil from hydrogeologic and airborne geophysical measurements using data mining and knowledge discovery techniques
  • Monte Carlo software for quantitative economic assessment of undiscovered mineral resources
  • Post-fire debris flow prediction using data mining and knowledge discovery – an alternative modeling paradigm
  • Synthesis of groundwater dependent ecosystem measurements using a self organizing map
  • Surveying soil chemical weathering in Parana state/Brazil: A data mining-GIS hybrid approach
  • Joint inversion of geophysical and groundwater data and models
  • Writing 3 chapters for 2nd edition of Unsaturated Zone Hydrology textbook

 

 Recent (past 5 years)

  • Developed hydrogeologic map of Mauritania, Africa
  • Devised flood warning system for government of Haiti
  • Joint inverse estimation of extreme rainfall in ungauged basins
  • Predicted range of likely fllooding in ungaged basins
  • Predicted change in ecological integrity for Chicago area
  • Coupled surface and and ground water hydrology
  • Development of dual permeability and reactive transport models
  • Inverse esimation of spatial structure using prior information
  • Joint geophysical ground water inversions
  • Optimization of stochastic reservoir operations 
  • Predicting streamflow uncertainty in ungaged basins
  • Reducing predictive uncertainty using coupled information  
  • Stochastic reservoir operational effects on quantity and quality
  • Wildfire-induced flooding and debris flow modeling 

 

 

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