Water quality data sets collected as part of remediation projects are often deep (samples) and wide (variables), yet the data is typically severely under-leveraged. In this talk we discuss the benefits of machine learning-based methods to optimize assessment of impacts to baseline, source identification, and elucidation of chemical processes. We will also discuss how these methods fit into a larger IoT framework.
Tom Meuzelaar, Ph.D.
Tom Meuzelaar founded Life Cycle Geo (LCG) in 2018. LCG specializes in providing innovative geoscience solutions to the natural resource sector across the project life cycle. LCG currently employs advanced statistical workflows to help its clients optimize site-wide water and materials management. Tom specializes in applied geology, geochemistry and data science and has more than twenty years of industry experience. He has supported the natural resource sector in solving numerous challenging water/rock related problems through all project life cycle stages, including complex materials characterization and predictive water quality projects with frequent extension into long-term planning and adaptive management. Tom has a Ph.D. in geology from the Colorado School of Mines. He has two sons ages 10 and 11, a daughter age 5 and loves spending time outdoors with his family.
Kristin Salzsauler is a Senior Principal Geochemist based in British Columbia with more than 18 years of experience leading characterizations of mine wastes and finding innovative solutions to manage them, conducting forensic mineralogical and geochemical investigations, and predicting and managing water quality. Kristin focuses on the mining sector, where she works hand-in-hand with project stakeholders to develop environmentally protective geochemical outcomes for all stages of the mining cycle, including exploration, permitting, engineering design, and closure. Kristin offers clients subject matter expertise related to acid mine drainage and metal leaching, with deep knowledge of how to evaluate selenium and arsenic mobility in field and laboratory settings. She is a skilled geochemical modeler and has experience in a broad range of water quality modeling approaches used to support water management, water treatment, and mine waste management plans for mine operations and mine closure.