Classication and Regression Framework for Characterizing Contaminant Source Zone.

Zhang, Hao.

2017-04-20T14:00:58.209Z

Description
  • Abstract: In this thesis we develop two machine-learning frameworks for estimating quantitative metrics characterizing subsurface zones of chemically contaminated soil focusing on problems involving Dense Non-Aqueous Phase Liquid (DNAPL). Source zone characterization, a necessary first step in the development of the remediation strategy, is challenging due to practical constraints associated with ... read more
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