managing environmental data for conceptual site models dr. david w. rich [email protected] ...
TRANSCRIPT
Managing Environmental Data for Conceptual Site Models
Dr. David W. [email protected]
www.geotech.com
Indianapolis, INFebruary 26, 20142:45 – 3:30
Summary of Presentation
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Investigation and remediation projects have complex requirements Automated tools can help the processPreviously the main tool for characterization was lab analysesNow higher resolution field data is becoming more importantUse of field data is evolving from screening only, to directly impacting decision makingData management and displays must adjust to thisSo must site interpretation modelsThe result should be better site understanding and project decisions
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Overview of the Process
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Site issuesIdentify concernsPrepare a preliminary model with available dataIdentify gaps in the data
Data management issues Gather data for detailed site characterization
Discrete dataContinuous data
Import, QC and manage dataGenerate useful output
Modeling issuesScale of model vs. scale of dataIntegration of geology and chemistry
Making and implementing decisions
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Site Issues
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Identify concernsWhat are the matrices - soil, water, air, etc.?Determine constituents of concernIdentify impacts - type, severity
Prepare a preliminary model with available dataGather and organize existing data - geology, chemistry, GIS dataPresent data so it can be analyzed
Identify gaps in the dataWhere is the site well characterized, and where not?What new information is needed where?
Fill the gaps and revise the model
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Preliminary Model - Geology
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Managing and DisplayingSite Geology
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You might want to assign geology and lithology to each physical sampleThis makes it easy to tie the geology to field and lab dataOr store formation “tops” by location independent of the samplesThis probably better represents the actual site geology
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Introduction
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Crosstab Callouts From the Database
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Soil Borings with Values from the Database
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Benzene (ppm)
Benzene (mg/kg) Lithology
Voxler Example
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Data Management Issues
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High level view of the processModern systems can manage more of the processPlanning for sample eventsGathering field data and taking samplesObtaining lab and field dataImporting and storing data
Discrete dataContinuous dataAddressing data issues - duplicates, non-detects, flagged data, dilutions, etc.
Locations of software and dataData selection and formatting of resultsOutput content and formats
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High Level View of the Data Management Process
Plan your sample events
Manage field and lab activities
Manage data and quality
Analyze and display dataStore in a robust repository
It’s all in one location
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Planning Your Sample Events
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Container Labels
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Planning the sample event
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Gathering Field Results
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Gathering Soil Samples
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Gathering Boring Log Data
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Images courtesy of LogItEasy.com
Cloud-based log data entry
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Gathering Continuous Data
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Images courtesy of
Gathering continuous
downhole data
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Environmental Data and the “Cloud”
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Backup /Restore
Server Tables
Server Volume
Server Tables
Server Volume
Backup /Restore
VolumeMaint.
Client / UserLogin
StructureUpdates
StructureUpdates
Read / WriteRead Only Read Only
Client
Server
Read / Write
Access/ODBC Attachments
Access Queries / Modules
Access Forms / Reports
New DatabaseManage Lookups
Manual EntryElectronic Import
Data Review
Classic Editor
Access/ODBC Attachments
Access Queries / Modules
Access Forms / Reports
S elect DataDisplay Options
Li st / CountsReports / Exports
Graphs / Maps
Classic Viewer
ODBC Attachments
SQL Queries / Modules
Browser Forms / Reports
New DatabaseManage Lookups
Manual EntryElectronic Import
Data Review
Cloud Editor
ODBC Attachments
SQL Queries / Modules
BrowserForms / Reports
Select DataDisplay Options
List / CountsReports / Exports
Graphs / Maps
Cloud Viewer
Access Tables
Local Access Local DB Server Cloud DB Server
Field Sampling Tool ArcGIS Maps Lab Ordering/Upload Web Maps
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Environmental Data and the “Cloud”
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Import Wizard
Specifying Import Options
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Quality Control - Consistency Checking
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Quality Control - Validation
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Quality Control - Validation Summary25/44
Bulk Data
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Selection and Display
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Display Options Determine How Your Results Are Displayed
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Example options:
Regulatory limits
Values and flags
Unit conversion
Date display
Calculated parameters
Non-detects
Significant figures
Graph display options
Custom queries
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Generating Output
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Typical Data Presentation
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Modeling Issues
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Be sure to clearly state the problem to be solvedGather and organize all the different data components
Maps and other GIS dataGeology, hydrogeologyDiscrete data such as lab dataContinuous data, such as direct push data
We want to characterize three main things: rock properties, fluid properties, and concentrationsHave a good understanding of your toolsUse an appropriate process for the specific problemPresent results clearly and succinctly
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Modeling Issues
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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
Modeling Issues
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Modeling Issues
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Modeling Issues
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Modeling Issues
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Modeling Issues
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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.
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Characterizing a Site
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Traditional conceptual site model
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Characterizing a Site
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Gather contaminant data Grid and model
Traditional result
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Characterizing a Site
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Build a hi-res geological model
Grid and model each unit
Here’s a different way
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Characterizing a Site
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Stack the models Traditional result
The results can be very different
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Making and Implementing Decisions
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Gather as much data as practicalUse the right tools to manage and present the dataPresent it clearly and succinctlyTailor the presentation to the problem to be solvedDetermine alternative solutionsEnumerate advantages and disadvantagesSelect from among these and implementReview results regularly
Conclusions
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Investigation and remediation projects have complex requirements Automated tools can help the processThe industry is seeing more use of field data relative to lab dataData management and displays must adjust to thisSo must site interpretation modelsUse of high-resolution geology and concentration can lead to better site modelsThe result should be better site understanding and project decisions
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Managing Environmental Data for Conceptual Site Models
Dr. David W. [email protected]
www.geotech.com
Indianapolis, INFebruary 26, 20142:45 – 3:30