Tom Stockton
Environmental Statistical Decision Analyst
Dr. Stockton has sixteen years of experience in environmental statistics, modeling and decision analysis. As an environmental statistician and decision analyst with Neptune and Company, he is currently performing data analysis and transport modeling for Federal Facilities in support of environmental decision-making. This support of Federal Facilities includes development of Sampling and Analysis Plans for investigation of hydrocarbon, preparation of guidance documents for Natural Attenuation monitoring network design, development of indicator models of ecological risk reduction progress made under the Superfund program, and exploratory data analysis, spatial analysis, background comparisons, and risk screening comparisons for soil, sediment, surface water, and ground water data for organic, inorganic, and radionuclides collected at Los Alamos National Laboratory. He is currently performing biointrusion and subsurface contaminant transport modeling in support of the Nevada Test Site GCD Performance Assessment and the Los Alamos National Laboratory RCRA Facilities Investigations. This work includes development of sensitivity analysis methods for complex probabilistic models based on data mining tools. Dr. Stockton has also conducted probabilistic assessments of inadvertent human intrusion in buried low-level radioactive waste at the Nevada Test Site using expert elicitation.
Dr. Stockton’s current interests include web-based environmental decision analysis tools. Tools under development include:
o StatWiz: An
environmental data analysis expert system based on the R Open Source
statistical programming language. StatWiz is designed to step the user through
the data analysis process and provide decision interpretation of statistical
results
o Causal
Analysis and Diagnosis Decision Information System (CADDIS): An aquatic
stressor identification wizard designed to provide web-based data collection,
analysis, and synthesis tools to analyze casuals links between aquatic
impairments and stressors.
o Site-specific
Management Approach and Redevelopment Tools (SMART-E): A web-based wizard for analyzing
Brownfields redevelopment options under a comprehensive decision framework.
Dr Stockton has worked as a water resources engineer with the States of Maryland and North Carolina. For the Maryland Department of Natural Resources he developed an ArcView GIS watershed assessment tool for conservation and restoration prioritization. He used this tool to assist in developing stakeholder consensus on the prioritization of management activities within and among watersheds. This tool featured a watershed nutrient load modeling for analyzing and tracking nutrient loading and load reductions from BMP implementation, a module for statewide prioritization of riparian corridors for buffer planting with an associated landowner outreach list, and a watershed comparative risk assessment module using landscape indicators. Dr. Stockton also conducted watershed pollutant load assessments for Pfiesteria high-risk watersheds.
Dr. Stockton managed the water quality modeling and assessment group of the North Carolina Division of EnviPotential volume of petroleum contamination in subsurface fractures underlying DP Tank Farm ronmental Management. In this capacity he was active in formulating the state's riverbasin management approach, as well as, interacting with NPDES permittees and concerned citizens to resolve watershed management issues. Dr. Stockton was also responsible for the calibration, verification, and application of mechanistic and empirical dissolved oxygen and eutrophication models, as well as designing associated time-of-travel/tidal flushing dye studies and synoptic water quality sampling studies. Dr. Stockton also administered North Carolina's NPDES toxicity testing program.
Dr. Stockton has conducted research in a variety of environmental modeling applications. These range from spatial and temporal modeling of regional associations between atmospheric deposition and surface water quality using Bayesian Networks and nonparametric smoothing approaches to multiple reservoir management analysis to determine the economic potential of augmented water yields from various forest management practices for irrigation, hydropower, and fisheries resources. He has also conducted research into the rational for below-cost timber sales in National Forest management plans.
Last
modified: 28 May 2002