NS23C-03 Geophysical Imaging for Assessing Restored Wetlands' Soil Properties, Infiltration Rates, and Potential Surface Groundwater Interaction
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Date
2024
Journal Title
Journal ISSN
Volume Title
Publisher
AGU24
Abstract
Efforts to reduce nutrient loading into Lake Erie include restoring old farm fields within
Northwestern Ohio to wetlands. With a history of intensive farming, these fields are
characterized by legacy nutrients, altered soil structure and drainage tiles. Inadequate
knowledge of soil properties distribution, drainage tile locations and potential surface
groundwater interaction at the sites limits restoration projects' effectiveness. This study
combined a rapid geophysical site characterization framework with in-situ soil cores and
hydraulic tests to assess variations in soil properties and hydraulic processes. We used a
250MHz PulseEkko ground penetrating radar (GPR) system and an EM38-MK2
conductivity meter to acquire GPR and electromagnetic imaging (EMI) measurements at
selected wetlands with the equipment towed behind a utility terrain vehicle to allow
extensive spatial coverage. Electrical resistivity (ER) data were acquired along transects
using a Supersting R8 resistivity meter with an 84-electrode switch box. The ER
measurement was done using a dipole-dipole array with 1m electrode spacing. Co-located
soil cores were collected along the transects for laboratory soil moisture content, organic
matter and texture measurements. In contrast, in-situ measurement of soil-saturated
hydraulic conductivity was done using a SATURO infiltrometer. The apparent electrical
conductivity (ECa) and ER distribution show comparable subsurface structures and
parameter zones, and ECa correlates strongly with soil moisture, organic matter and silt
contents (R2 >0.7; p-value <0.002). The ECa also notably correlates with the soil
saturated hydraulic conductivity (R2 = 0.85), indicating the possibility of using EMI to
rapidly characterize potential water retention zones (low Ksat) in restored wetlands. The
spatial distribution of geophysical parameters depends linearly on soil properties
distribution. This geophysical-soil-property relation, developed through a rapid site
characterization framework, allows for improved soil sampling and monitoring plans.
This study shows the effective application of EMI, GPR, and ER for pre- and post
restoration characterization of old farm fields with legacy nutrients and drainage tiles that
contribute to nutrient loading into Lake Erie.