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Managing Environmental Data for Conceptual Site Models

www.geotech.com. Managing Environmental Data for Conceptual Site Models. Dr. David W. Rich drdave@geotech.com. Indianapolis, IN February 26, 2014 2:45 – 3:30. 2 /44. Summary of Presentation. Investigation and remediation projects have complex requirements

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Managing Environmental Data for Conceptual Site Models

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  1. www.geotech.com Managing Environmental Data for Conceptual Site Models Dr. David W. Rich drdave@geotech.com Indianapolis, IN February 26, 2014 2:45 – 3:30

  2. 2/44 Summary of Presentation • Investigation and remediation projects have complex requirements • Automated tools can help the process • Previously the main tool for characterization was lab analyses • Now higher resolution field data is becoming more important • Use of field data is evolving from screening only, to directly impacting decision making • Data management and displays must adjust to this • So must site interpretation models • The result should be better site understanding and project decisions www.geotech.com

  3. 3/44 Overview of the Process • Site issues • Identify concerns • Prepare a preliminary model with available data • Identify gaps in the data • Data management issues • Gather data for detailed site characterization • Discrete data • Continuous data • Import, QC and manage data • Generate useful output • Modeling issues • Scale of model vs. scale of data • Integration of geology and chemistry • Making and implementing decisions www.geotech.com

  4. 4/44 Site Issues • Identify concerns • What are the matrices - soil, water, air, etc.? • Determine constituents of concern • Identify impacts - type, severity • Prepare a preliminary model with available data • Gather and organize existing data - geology, chemistry, GIS data • Present data so it can be analyzed • Identify gaps in the data • Where is the site well characterized, and where not? • What new information is needed where? • Fill the gaps and revise the model www.geotech.com

  5. 5/44 Preliminary Model - Geology www.geotech.com

  6. 6/44 Managing and DisplayingSite Geology • You might want to assign geology and lithology to each physical sample • This makes it easy to tie the geology to field and lab data • Or store formation “tops” by location independent of the samples • This probably better represents the actual site geology www.geotech.com

  7. Introduction www.geotech.com

  8. Crosstab Callouts From the Database www.geotech.com

  9. Soil Borings with Values from the Database Benzene (mg/kg) Lithology Benzene (ppm) www.geotech.com

  10. 10/44 Voxler Example www.geotech.com

  11. 11/44 Data Management Issues • High level view of the process • Modern systems can manage more of the process • Planning for sample events • Gathering field data and taking samples • Obtaining lab and field data • Importing and storing data • Discrete data • Continuous data • Addressing data issues - duplicates, non-detects, flagged data, dilutions, etc. • Locations of software and data • Data selection and formatting of results • Output content and formats www.geotech.com

  12. High Level View of the Data Management Process Plan your sample events Store in a robust repository Analyze and display data Manage field and lab activities Manage data and quality It’s all in one location www.geotech.com

  13. 13/44 Planning Your Sample Events Entering stations www.geotech.com

  14. 14/44 Container Labels www.geotech.com

  15. Planning the sample event www.geotech.com

  16. 16/44 Gathering Field Results www.geotech.com

  17. 17/44 Gathering Soil Samples www.geotech.com

  18. 18/44 Cloud-based log data entry Gathering Boring Log Data Images courtesy of LogItEasy.com www.geotech.com

  19. 19/44 Gathering Continuous Data Gathering continuous downhole data Images courtesy of www.geotech.com

  20. 20/44 Environmental Data and the “Cloud” www.geotech.com

  21. Environmental Data and the “Cloud” 21/44 www.geotech.com

  22. 22/44 Specifying Import Options Import Wizard www.geotech.com

  23. 23/44 Quality Control - Consistency Checking www.geotech.com

  24. 24/44 Quality Control - Validation www.geotech.com

  25. 25/44 Quality Control - Validation Summary www.geotech.com

  26. 26/44 Bulk Data www.geotech.com

  27. 27/44 Selection and Display www.geotech.com

  28. 28/44 Display Options Determine How Your Results Are Displayed • Example options: • Regulatory limits • Values and flags • Unit conversion • Date display • Calculated parameters • Non-detects • Significant figures • Graph display options • Custom queries www.geotech.com

  29. Generating Output www.geotech.com

  30. 30/44 Typical Data Presentation www.geotech.com

  31. 31/44 Modeling Issues • Be sure to clearly state the problem to be solved • Gather and organize all the different data components • Maps and other GIS data • Geology, hydrogeology • Discrete data such as lab data • Continuous data, such as direct push data • We want to characterize three main things: rock properties, fluid properties, and concentrations • Have a good understanding of your tools • Use an appropriate process for the specific problem • Present results clearly and succinctly www.geotech.com

  32. Modeling Issues Source: Mapping Research at the USGS Toxic Substances Hydrology Program Research Site to investigate Recalcitrant Contamination in Fractured Bedrock, by Pierre Lacomb and Rachel Dearden www.geotech.com

  33. 33/44 Modeling Issues www.geotech.com

  34. Modeling Issues www.geotech.com

  35. Modeling Issues www.geotech.com

  36. Modeling Issues www.geotech.com

  37. 37/44 Modeling Issues Source: Environmental Visualization: Applications to Site Characterization, Remedial Programs, and Litigation Support, Meng Ling and Jian Chen, Workshop on Visualisation in Environmental Sciences (EnvirVis) (2013) Source: Techniques for 3D Geological and Hydrogeological Modeling. A Case Study of Conawapa Generating Station, Sharif, S., Mann, J.D., & Smith, J.B., KGS Acres, Winnipeg, Manitoba, Canada, and Cook, G.N. , Manitoba Hydro, Winnipeg, Manitoba, Canada. www.geotech.com

  38. 38/44 Characterizing a Site Traditional conceptual site model www.geotech.com

  39. 39/44 Characterizing a Site Gather contaminant data Grid and model Traditional result www.geotech.com

  40. 40/44 Characterizing a Site Here’s a different way Build a hi-res geological model Grid and model each unit www.geotech.com

  41. 41/44 Characterizing a Site Stack the models Traditional result The results can be very different www.geotech.com

  42. Making and Implementing Decisions • Gather as much data as practical • Use the right tools to manage and present the data • Present it clearly and succinctly • Tailor the presentation to the problem to be solved • Determine alternative solutions • Enumerate advantages and disadvantages • Select from among these and implement • Review results regularly www.geotech.com

  43. 43/44 Conclusions • Investigation and remediation projects have complex requirements • Automated tools can help the process • The industry is seeing more use of field data relative to lab data • Data management and displays must adjust to this • So must site interpretation models • Use of high-resolution geology and concentration can lead to better site models • The result should be better site understanding and project decisions www.geotech.com

  44. www.geotech.com Managing Environmental Data for Conceptual Site Models Dr. David W. Rich drdave@geotech.com Indianapolis, IN February 26, 2014 2:45 – 3:30

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