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Title: Soil architecture and subsurface stratigraphic heterogeneities across land-lake interfaces along Lake Erie.

Abstract

Uploaded raw datasets from electrical resistivity tomography (ERT), ground penetrating radar (GPR), electromagnetic induction (EMI) and insitu sensors were acquired across land-lake interfaces along Lake Erie. These datasets were useful to delineate the soil architecture and subsurface stratigraphic heterogeneities. We combined multiple geophysical methods with lithostratigraphic logs from borehole cores and data from soil and borehole sensors to investigate spatial heterogeneities across land-lake interfaces. The apparent electrical conductivity (Eca) maps matched closely with the soil maps from public database and also detected additional soil units that were missing in the traditional soil maps. This implies that electromagnetic induction (EMI) could be relied upon for non invasive characterization of soils in sampling restricted sites where only non-invasive measurements are feasible. Results from electrical resistivity tomography (ERT) and Ground penetrating radar (GPR) are consistent with the surficial geology of the study area, and revealed that the vertical variabilities at the sites are mainly driven by stratigraphy.The ERT data (.stg) were acquired from three different sites portage river (PTR), crane creek (CRC) and old woman creek (OWC). The ".stg" files can be opened with ERT inversion software such as EarthImager, ResIpy or Res2DInv. The GPR data (.GPZ) were also acquired from the threemore » sites, and the ".GPZ" data files can be opened with EKKO_project 5 software from Sensors & Software Inc., or with any other standard GPR software. The EM data (.csv) were acquired from the three sites while the soil sensor data (.csv) here were acquired only from crane creek site. The ".csv) files can be opened with MS Excel or any other spread sheet software.« less

Authors:
ORCiD logo ; ; ; ; ; ; ORCiD logo ; ; ; ; ;
  1. University of Toledo; University of Toledo
  2. University of Toledo
  3. Pacific Northwest National Laboratory (PNNL)
Publication Date:
Research Org.:
Environmental System Science Data Infrastructure for a Virtual Ecosystem; COMPASS-FME
Sponsoring Org.:
U.S. DOE > Office of Science > Biological and Environmental Research (BER)
Subject:
54 ENVIRONMENTAL SCIENCES; EARTH SCIENCE > LAND SURFACE > SOILS; ELECTRICAL RESISTIVITY TOMOGRAPHY; ELECTROMAGNETIC IMAGING; GROUND PENETRATING RADAR; LAKE ERIE; LAND-LAKE INTERFACE
OSTI Identifier:
2202344
DOI:
https://doi.org/10.15485/2202344

Citation Formats

Ehosioke, Solomon, Adebayo, Moses B., Bailey, Vanessa L., Peixoto, Roberta Bittencourt, Emmanuel, Efemena D., Machado-Silva, Fausto, Regier, Peter J., Spanbauer, Trisha, Thomas, Shan Pushpajom, Ward, Nicholas D., Weintraub, Michael N., and Doro, Kennedy O. Soil architecture and subsurface stratigraphic heterogeneities across land-lake interfaces along Lake Erie.. United States: N. p., 2023. Web. doi:10.15485/2202344.
Ehosioke, Solomon, Adebayo, Moses B., Bailey, Vanessa L., Peixoto, Roberta Bittencourt, Emmanuel, Efemena D., Machado-Silva, Fausto, Regier, Peter J., Spanbauer, Trisha, Thomas, Shan Pushpajom, Ward, Nicholas D., Weintraub, Michael N., & Doro, Kennedy O. Soil architecture and subsurface stratigraphic heterogeneities across land-lake interfaces along Lake Erie.. United States. doi:https://doi.org/10.15485/2202344
Ehosioke, Solomon, Adebayo, Moses B., Bailey, Vanessa L., Peixoto, Roberta Bittencourt, Emmanuel, Efemena D., Machado-Silva, Fausto, Regier, Peter J., Spanbauer, Trisha, Thomas, Shan Pushpajom, Ward, Nicholas D., Weintraub, Michael N., and Doro, Kennedy O. 2023. "Soil architecture and subsurface stratigraphic heterogeneities across land-lake interfaces along Lake Erie.". United States. doi:https://doi.org/10.15485/2202344. https://www.osti.gov/servlets/purl/2202344. Pub date:Sun Jan 01 04:00:00 UTC 2023
@article{osti_2202344,
title = {Soil architecture and subsurface stratigraphic heterogeneities across land-lake interfaces along Lake Erie.},
author = {Ehosioke, Solomon and Adebayo, Moses B. and Bailey, Vanessa L. and Peixoto, Roberta Bittencourt and Emmanuel, Efemena D. and Machado-Silva, Fausto and Regier, Peter J. and Spanbauer, Trisha and Thomas, Shan Pushpajom and Ward, Nicholas D. and Weintraub, Michael N. and Doro, Kennedy O.},
abstractNote = {Uploaded raw datasets from electrical resistivity tomography (ERT), ground penetrating radar (GPR), electromagnetic induction (EMI) and insitu sensors were acquired across land-lake interfaces along Lake Erie. These datasets were useful to delineate the soil architecture and subsurface stratigraphic heterogeneities. We combined multiple geophysical methods with lithostratigraphic logs from borehole cores and data from soil and borehole sensors to investigate spatial heterogeneities across land-lake interfaces. The apparent electrical conductivity (Eca) maps matched closely with the soil maps from public database and also detected additional soil units that were missing in the traditional soil maps. This implies that electromagnetic induction (EMI) could be relied upon for non invasive characterization of soils in sampling restricted sites where only non-invasive measurements are feasible. Results from electrical resistivity tomography (ERT) and Ground penetrating radar (GPR) are consistent with the surficial geology of the study area, and revealed that the vertical variabilities at the sites are mainly driven by stratigraphy.The ERT data (.stg) were acquired from three different sites portage river (PTR), crane creek (CRC) and old woman creek (OWC). The ".stg" files can be opened with ERT inversion software such as EarthImager, ResIpy or Res2DInv. The GPR data (.GPZ) were also acquired from the three sites, and the ".GPZ" data files can be opened with EKKO_project 5 software from Sensors & Software Inc., or with any other standard GPR software. The EM data (.csv) were acquired from the three sites while the soil sensor data (.csv) here were acquired only from crane creek site. The ".csv) files can be opened with MS Excel or any other spread sheet software.},
doi = {10.15485/2202344},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Sun Jan 01 04:00:00 UTC 2023},
month = {Sun Jan 01 04:00:00 UTC 2023}
}