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Jim Finegan Co-authored Three of Five White Papers Recently Published by the National Groundwater Association

Friday, 17 November 2017

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The National Groundwater Association (NGWA) recently published five white papers, three of which Jim Finegan, PhD, CHg, from Kleinfelder’s Riverside, CA office, co-authored as part of the NGWA Groundwater Modeling Advisory Panel.

The papers are:

  • A Decision Framework for Minimum Levels of Model Complexity (co-authored by Jim)
  • Applications of Groundwater Modeling for Decision-Making in Water Management and Engineering with Water Supply and Remediation Case Studies (co-authored by Jim)
  • Integrated Surface Water-Groundwater Modeling (co-authored by Jim)
  • A Stepwise Approach to Groundwater Modeling
  • Uncertainty in Groundwater Modeling

The NGWA Groundwater Modeling Advisory Panel was formed in early 2016 with the goal of advancing the state of groundwater modeling through cooperative information exchange and outreach to groundwater professionals.

The nearly 40 prominent groundwater modelers who form the panel identified 33 topics of interest and categorized them into five groups for development. The papers were written as discussion documents and underwent peer review before being finalized and approved by the NGWA Board of Directors.

The papers address questions of:

  • How should decision makers consider groundwater modeling in project development and solution?
  • How should the complexity of the subsurface be considered in developing groundwater models?
  • What considerations should be made in moving from simple to more complex model development?
  • How can uncertainty be included in modeling to inform decisions for groundwater supply and remediation?
  • What approaches can be followed to address interaction of groundwater and surface water in decisions?

The papers will serve as tools for groundwater modelers around the world by providing guidance in model selection, subject-specific modeling, and issues of uncertainty in modeling.  Modelers will use these tools to better clarify the limitations of their work and to guide selection of models of appropriate complexity and type. 

The papers can be viewed and downloaded from NGWA’s website.

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