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![Page 1: Characterization of Glacial Materials Using Seismic Refraction and Multichannel Analysis of Surface Waves Glenn Larsen Ohio Department of Natural Resources.](https://reader030.fdocuments.in/reader030/viewer/2022032800/56649d215503460f949f6fe3/html5/thumbnails/1.jpg)
Characterization of Glacial Materials Using Seismic Refraction and
Multichannel Analysis of Surface Waves
Characterization of Glacial Materials Using Seismic Refraction and
Multichannel Analysis of Surface Waves
Glenn Larsen
Ohio Department of Natural Resources
Division of Geological Survey
Glenn Larsen
Ohio Department of Natural Resources
Division of Geological Survey
![Page 2: Characterization of Glacial Materials Using Seismic Refraction and Multichannel Analysis of Surface Waves Glenn Larsen Ohio Department of Natural Resources.](https://reader030.fdocuments.in/reader030/viewer/2022032800/56649d215503460f949f6fe3/html5/thumbnails/2.jpg)
P-Wave RefractionP-Wave Refraction
In the Beginning the OGS used P-wave refraction as a cost effective tool to determine the thicknesses of the glacial materials and the depths to bedrock.
Can not differentiate between the different types of glacial materials.
The water table can become a barrier preventing any detection of P-wave arrivals from deeper refractive layers.
Water Problems:
![Page 3: Characterization of Glacial Materials Using Seismic Refraction and Multichannel Analysis of Surface Waves Glenn Larsen Ohio Department of Natural Resources.](https://reader030.fdocuments.in/reader030/viewer/2022032800/56649d215503460f949f6fe3/html5/thumbnails/3.jpg)
To over come these problems the OGS adopted combining S-wave refraction data with P-wave data.
S-waves travel slower than P-waves and the velocity contrast between geologic layers tend to be greater.
S-wave are not affected by water.
S-Wave RefractionS-Wave Refraction
![Page 4: Characterization of Glacial Materials Using Seismic Refraction and Multichannel Analysis of Surface Waves Glenn Larsen Ohio Department of Natural Resources.](https://reader030.fdocuments.in/reader030/viewer/2022032800/56649d215503460f949f6fe3/html5/thumbnails/4.jpg)
Multichannel Analysis of Surface Waves (MASW)
Estimates material Strength, shear modulus
Estimates S-velocity from surface waves
Data quality is high because surface wave is generally the dominant wave
Most noise-tolerant seismic method
MASWMASW
![Page 5: Characterization of Glacial Materials Using Seismic Refraction and Multichannel Analysis of Surface Waves Glenn Larsen Ohio Department of Natural Resources.](https://reader030.fdocuments.in/reader030/viewer/2022032800/56649d215503460f949f6fe3/html5/thumbnails/5.jpg)
Geometrics Geode Seismometer
Geophones
Laptop Computer
Seismic EquipmentSeismic Equipment
![Page 6: Characterization of Glacial Materials Using Seismic Refraction and Multichannel Analysis of Surface Waves Glenn Larsen Ohio Department of Natural Resources.](https://reader030.fdocuments.in/reader030/viewer/2022032800/56649d215503460f949f6fe3/html5/thumbnails/6.jpg)
Thumper!Thumper!
![Page 7: Characterization of Glacial Materials Using Seismic Refraction and Multichannel Analysis of Surface Waves Glenn Larsen Ohio Department of Natural Resources.](https://reader030.fdocuments.in/reader030/viewer/2022032800/56649d215503460f949f6fe3/html5/thumbnails/7.jpg)
Acquire P- and S- wave velocity data to characterize the glacial materials in terms of their engineering and seismic properties.
Build a database of P- and S- wave velocity data from glacial materials already identified by surficial mapping.
Relate shear wave velocities to SPT-N values.
Integrate this data to the stack maps to assess engineering and seismic hazards state wide.
Survey’s Focus Since 2006Survey’s Focus Since 2006
![Page 8: Characterization of Glacial Materials Using Seismic Refraction and Multichannel Analysis of Surface Waves Glenn Larsen Ohio Department of Natural Resources.](https://reader030.fdocuments.in/reader030/viewer/2022032800/56649d215503460f949f6fe3/html5/thumbnails/8.jpg)
Acquiring P- and S-wave data is important for determining the engineering properties of the bedrock and glacial materials.
The material properties derived from P- and S-waves:
Bulk Modulus Bulk Density
Shear Modulus Poisson’s Ratio
Young’s Modulus Velocity Ratio
NEHRP Site Classification
Engineering PropertiesEngineering Properties
![Page 9: Characterization of Glacial Materials Using Seismic Refraction and Multichannel Analysis of Surface Waves Glenn Larsen Ohio Department of Natural Resources.](https://reader030.fdocuments.in/reader030/viewer/2022032800/56649d215503460f949f6fe3/html5/thumbnails/9.jpg)
S-wave velocities of the upper 100 feet are important predictors of site amplification factors for earthquake shaking.
Characterizing the glacial materials for prediction of earthquake shaking provides added value to the surficial mapping.
Site amplification factors describe how the surficial strata amplify (or attenuate) ground motion during an earthquake.
Seismic PropertiesSeismic Properties
![Page 10: Characterization of Glacial Materials Using Seismic Refraction and Multichannel Analysis of Surface Waves Glenn Larsen Ohio Department of Natural Resources.](https://reader030.fdocuments.in/reader030/viewer/2022032800/56649d215503460f949f6fe3/html5/thumbnails/10.jpg)
Seismic InvestigationsSeismic Investigations
![Page 11: Characterization of Glacial Materials Using Seismic Refraction and Multichannel Analysis of Surface Waves Glenn Larsen Ohio Department of Natural Resources.](https://reader030.fdocuments.in/reader030/viewer/2022032800/56649d215503460f949f6fe3/html5/thumbnails/11.jpg)
Bainbridge ProjectBainbridge Project
![Page 12: Characterization of Glacial Materials Using Seismic Refraction and Multichannel Analysis of Surface Waves Glenn Larsen Ohio Department of Natural Resources.](https://reader030.fdocuments.in/reader030/viewer/2022032800/56649d215503460f949f6fe3/html5/thumbnails/12.jpg)
HCWC Well Field No. 1HCWC Well Field No. 1
Water Fall
Well Field
Depth to bedrock 78+ ft.
Seismic Survey
![Page 13: Characterization of Glacial Materials Using Seismic Refraction and Multichannel Analysis of Surface Waves Glenn Larsen Ohio Department of Natural Resources.](https://reader030.fdocuments.in/reader030/viewer/2022032800/56649d215503460f949f6fe3/html5/thumbnails/13.jpg)
P-Wave Velocity Model P-Wave Velocity Model
![Page 14: Characterization of Glacial Materials Using Seismic Refraction and Multichannel Analysis of Surface Waves Glenn Larsen Ohio Department of Natural Resources.](https://reader030.fdocuments.in/reader030/viewer/2022032800/56649d215503460f949f6fe3/html5/thumbnails/14.jpg)
S-Wave Velocity ModelS-Wave Velocity Model
![Page 15: Characterization of Glacial Materials Using Seismic Refraction and Multichannel Analysis of Surface Waves Glenn Larsen Ohio Department of Natural Resources.](https://reader030.fdocuments.in/reader030/viewer/2022032800/56649d215503460f949f6fe3/html5/thumbnails/15.jpg)
HCWC Well Field No. 1HCWC Well Field No. 1
Water Fall
Well Field
Depth to bedrock 78+ ft.
Seismic Survey
![Page 16: Characterization of Glacial Materials Using Seismic Refraction and Multichannel Analysis of Surface Waves Glenn Larsen Ohio Department of Natural Resources.](https://reader030.fdocuments.in/reader030/viewer/2022032800/56649d215503460f949f6fe3/html5/thumbnails/16.jpg)
Well Field
Quarry
HCWC Well Field No. 2HCWC Well Field No. 2
Depth to bedrock 94+ ft.
Seismic Survey
![Page 17: Characterization of Glacial Materials Using Seismic Refraction and Multichannel Analysis of Surface Waves Glenn Larsen Ohio Department of Natural Resources.](https://reader030.fdocuments.in/reader030/viewer/2022032800/56649d215503460f949f6fe3/html5/thumbnails/17.jpg)
P-Wave Velocity ModelP-Wave Velocity Model
![Page 18: Characterization of Glacial Materials Using Seismic Refraction and Multichannel Analysis of Surface Waves Glenn Larsen Ohio Department of Natural Resources.](https://reader030.fdocuments.in/reader030/viewer/2022032800/56649d215503460f949f6fe3/html5/thumbnails/18.jpg)
S-Wave Velocity ModelS-Wave Velocity Model
![Page 19: Characterization of Glacial Materials Using Seismic Refraction and Multichannel Analysis of Surface Waves Glenn Larsen Ohio Department of Natural Resources.](https://reader030.fdocuments.in/reader030/viewer/2022032800/56649d215503460f949f6fe3/html5/thumbnails/19.jpg)
Passive Remote MASWPassive Remote MASW
![Page 20: Characterization of Glacial Materials Using Seismic Refraction and Multichannel Analysis of Surface Waves Glenn Larsen Ohio Department of Natural Resources.](https://reader030.fdocuments.in/reader030/viewer/2022032800/56649d215503460f949f6fe3/html5/thumbnails/20.jpg)
Well Field
Quarry
HCWC Well Field No. 2HCWC Well Field No. 2
Depth to bedrock 94+ ft.
Seismic Survey
![Page 21: Characterization of Glacial Materials Using Seismic Refraction and Multichannel Analysis of Surface Waves Glenn Larsen Ohio Department of Natural Resources.](https://reader030.fdocuments.in/reader030/viewer/2022032800/56649d215503460f949f6fe3/html5/thumbnails/21.jpg)
HCWC New Well FieldHCWC New Well Field
![Page 22: Characterization of Glacial Materials Using Seismic Refraction and Multichannel Analysis of Surface Waves Glenn Larsen Ohio Department of Natural Resources.](https://reader030.fdocuments.in/reader030/viewer/2022032800/56649d215503460f949f6fe3/html5/thumbnails/22.jpg)
Engineering Borehole DatabaseEngineering Borehole Database
![Page 23: Characterization of Glacial Materials Using Seismic Refraction and Multichannel Analysis of Surface Waves Glenn Larsen Ohio Department of Natural Resources.](https://reader030.fdocuments.in/reader030/viewer/2022032800/56649d215503460f949f6fe3/html5/thumbnails/23.jpg)
Geotechnical Soil BoringsGeotechnical Soil Borings
![Page 24: Characterization of Glacial Materials Using Seismic Refraction and Multichannel Analysis of Surface Waves Glenn Larsen Ohio Department of Natural Resources.](https://reader030.fdocuments.in/reader030/viewer/2022032800/56649d215503460f949f6fe3/html5/thumbnails/24.jpg)
Vsa is the average shear wave velocity
Na is the average field SPT blow count
Sua is the average undrained shear strength
1997 NEHRP Soil Classification for Ground Motion Amplification
Dorset Quadrangle ExampleDorset Quadrangle Example
![Page 25: Characterization of Glacial Materials Using Seismic Refraction and Multichannel Analysis of Surface Waves Glenn Larsen Ohio Department of Natural Resources.](https://reader030.fdocuments.in/reader030/viewer/2022032800/56649d215503460f949f6fe3/html5/thumbnails/25.jpg)
Earthquake Risk PotentialEarthquake Risk Potential