ground water contamination at bemidji, mn
DESCRIPTION
Ground water contamination at Bemidji, MN. Part 1: Younis Altobi. http://www.epa.gov/oilspill/photo.htm. Outline: Younis Altobi. Introduction Significance Description of site Study objectives Data Methodology Data analysis Data interpretation Results Limitations Future Work. - PowerPoint PPT PresentationTRANSCRIPT
Ground water contamination at Bemidji, MN
Part 1: Younis Altobi
http://www.epa.gov/oilspill/photo.htm
Outline: Younis Altobi
• Introduction• Significance• Description of site• Study objectives• Data• Methodology
• Data analysis• Data interpretation
• Results• Limitations• Future Work http://www.epa.gov/oilspill/photo.htm
Introduction• Most oil pipelines leak
at least once during their life span.
• ~14,000 spills a year are reported in the U.S.
• Spills pose hazards to: • marine and human life• natural and man-made
resources
• Each spill’s environmental impact depends on its spreading rate.
http://www.epa.gov/oilspill/photo.htm
Significance
Problem:• Treatment and remediation challenges:
• Time consumption• Costs in training and equipment• Inaccurate site assessments
Possible solution:• Apply GIS techniques to monitor and model:
• Contaminant distribution with time.• Contaminant migration with time.• Contaminant concentration with time.
Description of Site
• NW Bemidji, MN• In 1979, a pipeline
burst, spilling ~11,000 barrels of crude oil.
• Contaminated subsurface sediment and ground water.
http://mn.water.usgs.gov/bemidji/gif/locatn-1.jpg
Study Site
http://mn.water.usgs.gov/bemidji/gif/fig4.jpg
http://mn.water.usgs.gov/bemidji/
Study ObjectivesUsing GIS techniques and utilizing Arc Hydro Groundwater Data
Models devised by Gil Strassberg and Suzanne Pierce (CRWR)
• 2-Dimentional surface-ground water interaction data model using aquifer, stream networks, aquifer recharge and contaminant transport.
• 3D geological framework of the aquifer using wells, coring and test data.
• Model groundwater movement through out the aquifer.• Model hydrocarbon migration since the 1979 oil spill through out the
aquifer.• Model the aquifer hydrologic unit to determine the effects of lithology
and porosity on water and hydrocarbon movements.• Produce a 3D distribution profile of the hydrocarbon plume across
the site.
Objectives accomplished
• 3D geological framework of the aquifer using water wells and coring.• Model hydrocarbon migration since the 1979 oil spill through out the
aquifer.• Produce a 3D distribution profile of the hydrocarbon plume across
the site.• 3D surface topography of the site.• Ground water level changes through time.• Oil level, thickness, and concentration through time.
Data
• Wells (over 200 total wells)• Water level• Oil level• Oil thickness• Oil concentration (Benzene and
Toluene) • Core• Elevation
Data source: http://mn.water.usgs.gov/bemidji/data.html
Data Analysis
• Select wells from area of interest (north pool).
• Create a surface elevation.• Produce a 3D projection of core lithologies.• Using well attributes, we distributed:
• Water level• Oil level• Oil thickness• Oil concentrations
• Time Frame (3 periods)
Data Analysis: Surface elevation
• Surface interpolated from selected surface elevation points distributed across the study site.
Data Analysis: Cores
WELLID NEWLAT NEWLONG LITHOID TOPDEPTHBOTTOMDEPT302 47.57391 -95.09021 S1 10.363 12.192302 47.57391 -95.09021 S2 12.802 15.240523 47.57361 -95.09099 S2 6.401 7.620530 47.57422 -95.08903 S2 11.887 12.192533 47.57398 -95.08967 S2 3.990 4.020604 47.57376 -95.09058 S2 7.315 10.000606 47.57353 -95.09142 S2 8.150 8.959707 47.57360 -95.09101 S2 4.570 6.520812 47.57356 -95.09026 S2 8.170 9.450815 47.57389 -95.09163 S2 6.160 6.770302 47.57391 -95.09021 S3 0.000 10.363302 47.57391 -95.09021 S3 12.192 12.802303 47.57398 -95.09040 S3 0.000 7.955411 47.57389 -95.09024 S3 0.000 5.791421 47.57387 -95.09014 S3 6.005 6.096423 47.57390 -95.08988 S3 0.000 7.925522 47.57394 -95.08981 S3 3.962 5.000523 47.57361 -95.09099 S3 4.877 6.401533 47.57398 -95.08967 S3 4.020 5.730
Porosity Permeability (md)S1 Sand tight 2% 1S2 Silt to Fine Sand 8% 1S3 Sand Fine to medium 15% 4S4 Sand medimum to course 20% 8S5 Sand Course to very course with gravel 25% 10S6 Gravel 30% 10
Data Analysis: Attribute Tables
WellID NewLat NewLong Water Level Elevation
303 47.57398 -95.09040 7.10 430.640
306 47.57391 -95.09020 7.8 430.610
315 47.57381 -95.09016 7.7 430.593
319 47.57385 -95.09008 8.2 430.872
411 47.57389 -95.09024 8.1 430.792
423 47.57390 -95.08988 9.8 432.759
506 47.57438 -95.08934 9.35 432.791
507 47.57426 -95.08956 9.65 433.050
512 47.57402 -95.08909 9.45 432.833
WellID NewLat NewLong Oil LevelOil
Thickness Elevation
306 47.57391 -95.09020 6.8 1.1 430.610
315 47.57381 -95.09016 6.8 1 430.593
319 47.57385 -95.09008 7 1.1 430.872
411 47.57389 -95.09024 6.95 1.1 430.792
Period 1 83-88
Period 2 89-94
Period 3 94-99
Acknowledgments
• Gil Strassberg (CRWR)
• Dr. David Maidment
• Suzanne Pierce (UTDoGS)
• Geoff Delin and Todd Anderson• http://mn.water.usgs.gov/bemidji/