Fredrick G Dolislager

Bio

Fred Dolislager has a B.S. in Natural Science from Bryan College, where he graduated in 1990. He has worked for the University of Tennessee in collaboration with Oak Ridge National Laboratory since 1998 and has worked on the environmental restoration of the Oak Ridge Reservation since 1990. Fred began in an environmental laboratory, transitioned into site-specific risk assessment and developed into managing the calculation of environmental screening levels for Superfund. These environmental screening levels are the national standard for chemicals and radionuclides in air, water, soil and biota. His exposure assessment models have also been adapted to support the assessment of residual chemical warfare agents on surfaces and the radiation risk from sources inside and outside buildings. Most of the screening levels are also provided on ORNL servers in an interactive system that allows users to change input parameters and calculate site-specific screening levels or cleanup levels. These tools support remediation efforts for many state governments, national government agencies and international agencies. Notable projects are: The Risk Assessment Information System (RAIS), Regional Screening Levels for Chemical Contaminants at Superfund Sites (RSLs), Vapor Intrusion Screening Level (VISL) Calculator, Preliminary Remediation Goals for Radionuclides for Superfund (PRGs), Dose Compliance Concentrations for Radionuclides for Superfund (DCCs), Regional Removal Action Levels for Chemicals for OEM (RMLs), Radiation Conversion (converts activity to cpm), Radionuclide Decay Chain, Cleanup Level calculator for State of Alaska, and Cumulative Risk Calculator for Alaska. Projects currently underway: updates to Spatial Analysis and Decision Assistance (SADA) software, 4-Phase Hydrocarbon risk Calculator, applying radiation shielding factors for different types of building materials, 3D radioactive exposure models for workers in trenches, radioactive dose models for ecological receptors, and radon vapor intrusion modeling.