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UID:20250626T232447EDT-3929hC3KXW@132.216.98.100
DTSTAMP:20250627T032447Z
DESCRIPTION:The Department of Earth and Planetary Sciences Presents: \n\n 
 \n\nDr. Kenneth Belitz (USGS) \n\n2023 Birdsall-Dreiss Distinguished Lectu
 rer\n\nGeological Society of America Hydrogeology Division\n\nSeptember 22
 \, 2023 \n\n11:00 am \n\nIn-person: FDA room 232 \n\n \n\nOld problems\, n
 ew approach: Applications of Ensemble-Tree Machine Learning to Hydrogeolog
 y\n\nAbstract:\n	Ensemble tree modeling is a machine learning method well s
 uited for representing complex non-linear phenomena. As such\, ensemble tr
 ee modeling can be applied to a wide range of questions in hydrogeology\, 
 including questions related to hydrogeologic mapping.  Some questions are 
 problems of regression in which one seeks an estimate of a continuous vari
 able.  For example\, what is the depth to the water table across a region 
 of interest? Other questions are problems of classification.  For example\
 , across a region of interest and over a range of depths\, is groundwater 
 oxic or reduced?\n	The U.S. Geological Survey National Water Quality Assess
 ment project (NAWQA) has used ensemble tree methods to address questions r
 elated to groundwater quality at regional and national scales. Some of our
  models evaluate the three-dimensional distribution of factors that can af
 fect groundwater quality\, such as pH\, redox\, and groundwater age. In tu
 rn\, the modeled factors were used in subsequent models to map the three-d
 imensional distribution of contaminant concentrations. In our experience\,
  ensemble tree models are a powerful tool for answering difficult question
 s. They can be used as a complement to process-based modeling and to make 
 predictions at scales that preclude the use of process-based approaches.\n
 \nIf you'd like to meet with the speaker\, please contact Jeff McKenzie (j
 effrey.mckenzie [at] mcgill.ca).\n
DTSTART:20230922T150000Z
DTEND:20230922T160000Z
SUMMARY:Seminar Speaker: Dr Kenneth Belitz (USGS) 
URL:/eps/channels/event/seminar-speaker-dr-kenneth-bel
 itz-usgs-350573
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