April 12, 2021
6:00 - 7:30 pm
Note: ETGS members will receive an email with info for logging into the meeting.
Development of a Regional Groundwater Flow Model for the U.S. Department of Energy Oak Ridge Reservation:
Numerical Model using MODFLOW-USG
Dr. Alauddin Khan
A regional scale groundwater flow model (GFM) with dimensions of approximately 40 x 16 km (25 x 10 miles) has been developed for the DOE Oak Ridge Reservation (ORR). The model implements a key recommendation of the ORR Groundwater Strategy, which is an interagency approach for addressing legacy groundwater contamination from past operations at ORR facilities. The strategy was agreed to by DOE, EPA, and TDEC in FY 2014. The calibrated flow model will serve as the framework for future, smaller scale, modeling efforts to support cleanup actions and decisions under CERCLA/FFA (6 watershed-scale groundwater RODs are planned). The Oak Ridge site is located in a geologically complex region and encompasses three large government facilities, including the Y-12 National Security Complex (Y-12), Oak Ridge National Laboratory (ORNL), and the East Tennessee Technology Park (ETTP). The GFM, in conjunction with smaller scale modeling, has played a role in the following:
Analysis of regional flow systems and simulation of changes
Additional characterization and placement of monitoring wells to delineate the extent of plumes, including optimization of the long-term monitoring network
Visualization of extent and movement of groundwater and contaminants
Conducting "what-if" testing to evaluate potential on-site and off-site migration flow paths
Engineering studies to identify remediation alternatives, as well as the follow-on engineering design work
Assessment of potential short- and long-term risks
Final watershed groundwater
decisions that may include monitored natural attenuation or
Technical Impracticability waivers
The presentation will cover aspects of the general conceptual site model, numerical model construction, model boundary conditions, model calibration and results, particle track results and conclusions.
Dr. Khan is a senior environmental modeler with more than 30 years of diversified experience in chemical/environmental engineering, water resource engineering and project management. He has extensive experience in soils, sediments and groundwater investigation and remediation projects with expertise in groundwater and surface water modeling, and project management. He has managed projects and conducted contaminant fate and transport modeling within a diverse array of hydrogeologic settings using a wide range of software packages for CERCLA RI/FS, RCRA RFIs, NEPA SEIS, and LUST projects. He has supported development of risk based corrective actions (RBCA), Environmental Impact Statements (EIS), feasibility study reports, remedial design projects, and research and development efforts. Other experience includes free product recovery modeling and system design, modeling of deep well injection of hazardous waste, well performance and pump test analysis, data analysis using statistical methods, database management, and software development. He has conducted workshops and training seminars related to use of particular models and case study applications. He obtained a M.S. and Ph.D. in Chemical Engineering from the University of Oklahoma, Norman, and a B.S., Chemical Engineering, Bangladesh University of Engineering and Technology, Dhaka.
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Page updated March 18, 2021