Mark Kram, Ph.D., CGWP Founder and President Groundswell Technologies, Inc.

Dr. Mark Kram is the Founder and President of Groundswell Technologies, Inc.., a group specializing in automated monitoring and modeling of environmental and homeland security sensor networks. Dr. Kram earned his Ph.D. in Environmental Science and Management from the University of California at Santa Barbara, an M.S. degree in Geology from San Diego State University, and his B.S. degree in Chemistry from the University of California at Santa Barbara. He has over 25 years of experience using innovative environmental assessment techniques and has authored papers, national standards, articles and book chapters on the subject. Dr. Kram has been instrumental in the areas of sensor development and implementation, innovative GIS applications, dense non-aqueous phase liquid (DNAPL) site characterization, chemical field screening and monitoring well design, and holds several patents for hydrogeologic and chemical characterization tools and automated environmental monitoring approaches. Dr. Kram is also an active member of NGWA, ASTM (Subcommittee D18.21), and ITRC (SCM and Bio-DNAPL Teams), and is currently preparing national guidance for expedited characterization and mass flux.

Presentation Description
Expedited High-Resolution Mass Flux Assessments Using Direct Push Technologies
Demonstration of the use of the high-resolution piezocone direct push sensor probe to determine direction and rate of groundwater flow in three dimensions will be discussed. The most current configuration operates via wireless interface, allowing for grouting upon retraction, which is ideal for halogenated plume investigations. Field hydraulic measurements can be used to determine seepage velocity distributions through interpolation methods recently incorporated into the Groundwater Modeling System platform. Probe data comprised of soil type and co-located hydraulic information is particularly amenable to innovative data fusion based interpolations available through the modeling platform. Following chemical concentration data collection, these innovative data processing approaches allow for the determination of mass flux distributions at resolutions and spatial configurations never before available. Field scale data collection, interpolation, modeling results, and long-term monitoring network design and implementation will be presented and discussed.