Computer Assisted Data Management and the Triad Approach

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Computer Assisted Data Management and the Triad Approach

  1. 1. Computer Assisted Data Management and the Triad Approach: A Case Study Addressing Problems and Potentials for Successful Remedial Investigation Arnold L. Gray, Ph.D. President Gray Environmental Data Services www.grayeds.com arnold@grayeds.com
  2. 2. Computer assisted data management techniques applied to Triad investigations • Data Visualization – Help convert “data” into useful information. – One tool does not fit all. – Many users and purposes • Database – In order to make the TRIAD approach work, we need to process more data faster. – Well organized databases provide an effective tool to store data in a powerful retrieval system. – Automation where possible. • Conceptual Site Model – Dynamic Work Strategies—flexibility in the face of new information. – Knowledge Transfer—Scientist to management to public. – Social Capital—overcome sense of mistrust.
  3. 3. Conceptual Site Model • The Conceptual Site Model (CSM) is at the core of the systematic planning process. – Clearly identify project decisions & end points. – Articulate project specific decision statements. • Project life cycle activity that is interactive in nature, structured so that project adjustments & course corrections can take place. KeyCMS
  4. 4. KeyCSM by Keynetix (UK) Plan Document Copyright 2008, EarthSoft, Inc., all rights reserved
  5. 5. KeyCSM by Keynetix (UK) CrossSection Document
  6. 6. KeyCSM by Keynetix (UK) Matrix Document
  7. 7. KeyCSM by Keynetix (UK) Network Document
  8. 8. Conceptual Site Model with KeyCSM by Keynetix (UK) Dynamic: Easily edited in response to new information. Establish trust: Clarity and transparency at every level. Knowledge transfer: Goals and pathways clearly defined. Results in clearly identified project decisions & end points.
  9. 9. Required Database Capabilities • Decision Support System • Advanced Data Management Capabilities • Field Event Planning tools • Data collection tools • Field Data Checking • Automated Database Loading • Automated Report Generation • Automated Report Delivery
  10. 10. Database Automation in Field Investigation Field Data Checking EQuIS Data ProcessorData EQuIS DSS Automated data loading, Automated analysis, Automated data formatting Data Inter net Data Generation Go to sample location, take sample, run analysis. RockWare, LogPlot, EVS, SADA, others (automated to produce required results) Formatted Data Inter net
  11. 11. Data Generation A Direct Push Caterpillar enables S2C2 to access difficult terrain to reduce sampling time and client cost. S2C2 Mobile laboratory collects and processes large data sets that are loaded electronically into EQuIS.
  12. 12. Data Generation EQuIS Data Gathering Engine (EDGE)
  13. 13. Field Data Checking EQuIS Data Processor Data EQuIS DSS Automated data loading, Automated analysis, Automated data formatting Data Inter net Data Generation Go to sample location, take sample run analysis. RockWare, LogPlot, EVS, SADA, others (automated to produce required results) Formatted Data Inter net Database Automation in Field Investigation
  14. 14. Field Data Checking
  15. 15. Field Data Checking EQuIS Data Processor Data EQuIS DSS Automated data loading, Automated analysis, Automated data formatting Data Inter net Data Generation Go to sample location, take sample, run analysis. RockWare, LogPlot, EVS, SADA, others (automated to produce required results) Formatted Data Inter net Database Automation in Field Investigation
  16. 16. Decision Support System
  17. 17. Field Data Checking EQuIS Data Processor Data EQuIS DSS Automated data loading, Automated analysis, Automated data formatting Data NewLocation Inter net Data Generation Go to sample location, take sample, run analysis. RockWare, LogPlot, EVS, SADA, others (automated to produce required results) Formatted Data Inter net Database Automation in Field Investigation
  18. 18. Copyright 2008, EarthSoft, Inc., all rights reserved Data Analysis Confidence level enhancement—EVS by C Tech Results from initial biased screening
  19. 19. Copyright 2008, EarthSoft, Inc., all rights reserved Results from Field Sample Highest confidence levels Data Analysis Confidence level enhancement—EVS by C Tech
  20. 20. Copyright 2008, EarthSoft, Inc., all rights reserved Confidences plus Concentrations Data Analysis Confidence level enhancement—EVS by C Tech
  21. 21. Copyright 2008, EarthSoft, Inc., all rights reserved Confidences plus Concentrations Plan View Data Analysis Confidence level enhancement—EVS by C Tech
  22. 22. Copyright 2008, EarthSoft, Inc., all rights reserved Convert to highest uncertainty Begin second round New location identified… Data Analysis Confidence level enhancement—EVS by C Tech
  23. 23. Data EQuIS DDS Automated data loading, Automated analysis, Automated data formatting Data Inter net Data Generation Go to sample location, take sample and send results Formatted Data RockWare, LogPlot, EVS, SADA, others (automated to produce required results) NewLocation Field Data Checking EQuIS Data Processor Inter net Database Automation in Field Investigation
  24. 24. Preliminary Data Points Sample Size
  25. 25. Initial Conceptual Site Model
  26. 26. Groundwater Delineation Points – Day 1
  27. 27. Groundwater Delineation Points – Day 2
  28. 28. Modified CSM After 2 Days
  29. 29. Groundwater Delineation Points – Days 3 to 5
  30. 30. Final Conceptual Site Model Map: demonstrates only 2 dimensional extent of contamination.
  31. 31. Data Visualization Data visualization is key to making data understandable in the Triad Approach. Knowledge Transfer—Scientist to management to public. Social Capital—overcome sense of mistrust. Share Results—convert “data” into useful information. Decision Support System—should make it simple to visualize data from many sources and analyzed using the appropriate environmental analytic applications for the particular problem.
  32. 32. 3-dimensional model of MIP response with interpreted geology
  33. 33. Data Visualization Graphs and charts Geographic Information Systems Google Earth—Everyman’s system
  34. 34. Data Visualization EQuIS (automation) Data Decision
  35. 35. • Laboratory Issues / Data Validation: – CLP data, validation through certification – Other Lab data, lab validation checked independently – Most lab data…not so much… • So why such high reliance on “formal” methodology? – Mix n match analytic methods—total + dissolved? – Heterogeneity- Almost all sites are a complex system of soil, groundwater, surface water, etc., that interact w/chemicals released into the environment – Extrapolating small data sets to reflect larger portions of matrix is almost ALWAYS inaccurate & misleading Comparative Issues
  36. 36. • QA of Triad Field Methodology: – Still not fully trusted – Regulatory technical requirement documents could reduce RP uncertainty leading to increased Triad implementations. • Research still needed: – Documented cost comparisons – Reliability and validity demonstrations – Historic fill areas – Northeast fly-ash deposition Comparative Issues
  37. 37. Computer Assisted Data Management and the Triad Approach: A Case Study Addressing Problems and Potentials for Successful Remedial Investigation Arnold L. Gray, Ph.D. President Gray Environmental Data Services www.grayeds.com arnold@grayeds.com

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