3-D Data Visualization Taking the Next Step in Data Presentation

Transcription

1 3-D Data Visualization Taking the Next Step in Data Presentation Stephen Dyment USEPA Office of Superfund Remediation and Technology Innovation 15 th Annual OSC Readiness Training Program

2 Two Types of Software for Environmental Data Reconstruction / Visualization Geographic Information Systems (GIS) Examples Google Earth Pro, ArcGIS, RockWorks Map (2-D) view of information Useful in looking at data distributions and details of some data sets Doesn t allow analysis of data with depth or elevation changes Prerequisite to running of most 3-D programs 3-D & 4-D data reconstruction/visualization programs Examples EarthVision, EVS/MVS, GMS, RockWorks, ArcGIS 3D analyst Allows analysis of environmental data as a function of space (3-D) / time (4-D) e.g., hydrogeology, bedrock, vadose/saturated zone distributions, sampling protocols discrete intervals versus lengthy well screens, source to plume linkages Important differentiation in types of data analysis produced by different programs Geostatistical versus subjective correlations Flexible (accepts all site data) versus fixed program structure 15 th Annual OSC Readiness Training Program 1

3 Why 3-D, Why Now? Rapid acceleration of benefit and utility of visualization platforms in the environmental industry Use of conceptual site models (CSMs) to support decision making Moving beyond conceptual cartoons, PRN diagram-based CSMs Geo-referenced geologic, hydrogeologic, and analytical data facilitate resolution of technical challenges Reconstruction limits data interpretation bias For information value data must be interpreted, but interpretations can be incorrect or incomplete EPA renewed emphasis and new focus areas Renewed emphasis on high quality characterization in support of remedy selection, design and optimization New focus on more meaningful and effective community engagement 15 th Annual OSC Readiness Training Program 2

4 We Live in a 3-D World In many cases 2D map views may provide sufficient detail to convey information Typically provides the what, limited where 3D and 4D provide the why, how Depth, hydrogeologic context, time It s dark down there 3D data visualization provides a platform to convey multiple independent data sets in simple form Communication tool or technical analysis? 15 th Annual OSC Readiness Training Program 3

5 How Effectively Can Stakeholders Understand Contaminant Distribution and Relevance With This 2-D Visualization? 15 th Annual OSC Readiness Training Program 4

6 Here is the Same Data Set Integrated with Hydrogeology 3-D Visualization of TCE Plume Escaping Groundwater Extraction System. Provides easy understanding of threat to public well. TCE Plume Configuration and Extent is Controlled by Geology. Control must be addressed in management strategies. 12A Plume and GETS 12A Geology and Plume Morphology 15 th Annual OSC Readiness Training Program 5

7 Matrix, Contaminant, and Temporal Complexities Mass that moves and what monitoring wells see Back diffusion causes challenges like rebound and long cleanup times Courtesy of Fred Payne- Arcadis 15 th Annual OSC Readiness Training Program 6 6

8 Technical Disagreements Among Stakeholders Often attributable to competing CSMs 3-D data reconstruction / visualization helps us understand the Rumsfeld Principle Changing PMs, contractors, property owners Variability As often we compromises know, there are quality known of data knowns. and conclusions There are things we know we know. We also know there are 3-D data reconstruction / visualization treats all data equally known unknowns. That is to say we know there are some things we do not know. But there are Analytical also and unknown direct sensing unknowns, quality vs. the spatial ones we and don't temporal know measurement we don't density know. Data type and density versus resources and SOPs Donald Rumsfeld, Feb. 12, 2002 Department of Defense 15 th Annual OSC Readiness Training Program 7

9 Summary of Best Practices for 3-D Data Reconstruction / Visualization / Analysis Step 1 - Identify basic questions to answer with existing data Step 2 - Identify the types of hard data needed to answer questions Step 3 - Determine what component reconstructions are needed Step 4 - Sort and document hard data from interpretations Step 5 - Import hard data into database format for building reconstruction components Step 6 - Use GIS and 3-D data analysis to evaluate sample distributions in map format Step 7 - Evaluate and ensure adequate distribution of geologic log data Step 8 - Use actual (measured) data to ensure objective 3-D reconstructions * Note - Be aware of the principal of significant figures; not only for contaminant data; but also geology and hydrogeology 15 th Annual OSC Readiness Training Program 8

10 How Do I Get Started? Start with a spatially correct platform Add elements/data sets to explore CSM issues Flexible, scalable, upgradable, timely Remote operation Newmark Orientation 15 th Annual OSC Readiness Training Program 9

11 Example #1- Newmark GW Site R9 Ongoing Remedial Actions (EPA 5-YR Review, 2008) Modified from Stantec, th Annual OSC Readiness Training Program

12 Project Goals and Approach Optimize interim P&T Information-based RI 3D used as platform for preliminary conceptual site model (PCSM) Administrative data review Identify additional locations with potentially applicable information Perform 3-D visualization and analysis Review, organize, summarize historical info Plan and perform RI/FS Newmark PCE with WHS Newmark PCE without WHS 15 th Annual OSC Readiness Training Program 11

13 Hydrogeologic plume control Newmark GW levels and geologic plume controls Preliminary Findings Integrated Muscoy/Newmark Primary and secondary sources Newmark- CJ 10 Remedy evaluation- North plant treatment North Treatment 1997 PCE North Treatment 2003PCE 15 th Annual OSC Readiness Training Program 12

14 How Has 3D Been Used at Newmark? Communication and planning tool Presented PCSM and findings to stakeholders September 2011 Technical analysis tool ICs in place to protect remedies Requires new permit for any new well or change of existing pumping conditions MODFLOW Pathlines 1997 PCE 15 th Annual OSC Readiness Training Program 13

15 Example #2- Modern Electroplating R1 Brownfields Technical Support Center Children s Services Prop. Modern Electroplating 15 th Annual OSC Readiness Training Program

16 Project Goals and Approach Prior efforts focused on tactical activities and basic site description Evaluate historical removal/remedial actions Assess future data needs- particularly VI Build PCSM, cost effectively for Brownfields applications Recommendations Groundwater GW-2/GW-3 Criteria Chemical GW-2 (ug/l) GW-3 (ug/l) PCE 50 30,000 TCE 30 5, th Annual OSC Readiness Training Program 15

17 Preliminary Findings Hydrogeologic plume control Geology Water Levels Well Nest MW101S MW101R2 MW205S MW205R MW109 MW108 MW9 MW107 Primary and secondary sources Unit Overburden Deep Bedrock Overburden Shallow Bedrock Shallow Bedrock Deep Bedrock Overburden Shallow Bedrock Vertical Gradient Summary (Positive values indicate downward direction) Vertical Head Difference (ft) Vertical Hydraulic Gradient (ft/ft) Average Vertical Hydraulic Gradient 0.03 PCE 100 ppb TCE 5000 ppb Vapor Intrusion PCE GW-2 Compliance TCE GW-2 Compliance 15 th Annual OSC Readiness Training Program 16

18 How Has 3D Been Used at Modern Electroplating? Communication and planning tool Presented PCSM and findings to stakeholders December 2011 In conjunction with nearby sites, supports corridor redevelopment Technical analysis tool Better understanding of hydrogeologic plume controls Help to identify future data needs Bedrock Optimize VI sampling priorities Limit uncertainty, expedite decision making 15 th Annual OSC Readiness Training Program 17

19 Color Coding A Final Word of Caution Significant Heterogeneity Exists Many EPA projects have historically used color coding as a means to convey information These do not convey other elements of risk management Concentration Exposure scenarios Geologic, hydrogeologic context Role of heterogeneity 15 th Annual OSC Readiness Training Program 18

20 Ignore Heterogeneity at Your Peril 15 th Annual OSC Readiness Training Program 19

21 Depth-integrated, flow weighted averaging Elevation (m) ,000 10, ,000 PCE (ug/l) Hydraulic Conductivity (cm/sec) 15 th Annual OSC Readiness Training Program 20

22 2 ft spacing between locations on one side Location #1 #2 #3 #4 #5 #6 #7 Vario-plot layout 12 ft between locations #1 and #9 #8 6 ft between #4 and #8 12 ft between locations #7 and #10 Determines shortscale heterogeneity (SS) (on order of feet). SS heterogeneity causes SS data variability. Initially start with a 12 X 12 ft area. Using in situ XRF, analyze each location in the designated pattern #9 12 ft between locations #9 and #10 #10 (see QC for in situ XRF) 15 th Annual OSC Readiness Training Program

23 VarioPlot Example RR Lot th Annual OSC Readiness Training Program 22

24 Lead Avg Concentration Surface Soil Field in-situ= 169 ppm Lot 3 after Lab ex-situ/is sample= 171 ppm Lead Avg Concentration Surface Soil Field in-situ= 396 ppm Lab ex-situ/is sample= 361 ppm Lead Avg Concentration Surface Soil Field in-situ= 559 ppm Lab ex-situ/is sample= 733 ppm Lead Avg Concentration Surface Soil Field in-situ= 40 ppm Lab ex-situ/is sample= 40 ppm Lead Avg Concentration Surface Soil Field in-situ= 204 ppm Lab ex-situ/is sample= 226 ppm Lead Avg Concentration Surface Soil Field in-situ= 693 ppm Lab ex-situ/is sample= 860 ppm Lead Avg Concentration Surface Soil Field in-situ= 219 ppm Lead Avg Concentration Surface Soil Field in-situ= 1298 ppm Lab ex-situ/is sample= 1367 ppm 15 th Annual Lab OSC ex-situ/is Readiness sample= Training Program 239 ppm 23

25 Answers in the Field Color Coded Decision Units -How many Increments? -What can we expect the mean of the ICS to be? (In-situ surface results) -Where should be take a depth sample (highest in-situ surface reading). -Anything unusual? shoot with the XRF 15 th Annual OSC Readiness Training Program 24

26 Questions 15 th Annual OSC Readiness Training Program 25