Coupled Hydrogeophysical Modeling to Constrain Unsaturated Soil Parameters for a Slow‐Moving Landslide

Abstract Geophysical methods have proven to be useful for investigating unstable slopes as they are both non‐invasive and sensitive to the spatial distribution of physical properties in the subsurface. Of particular interest are the links between electrical resistivity and near‐surface moisture cont...

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Main Authors: J. P. Boyd, J. E. Chambers, P. B. Wilkinson, P. I. Meldrum, E. Bruce, A. Binley
Format: Article
Language:English
Published: Wiley 2024-10-01
Series:Water Resources Research
Subjects:
Online Access:https://doi.org/10.1029/2023WR036319
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author J. P. Boyd
J. E. Chambers
P. B. Wilkinson
P. I. Meldrum
E. Bruce
A. Binley
author_facet J. P. Boyd
J. E. Chambers
P. B. Wilkinson
P. I. Meldrum
E. Bruce
A. Binley
author_sort J. P. Boyd
collection DOAJ
description Abstract Geophysical methods have proven to be useful for investigating unstable slopes as they are both non‐invasive and sensitive to the spatial distribution of physical properties in the subsurface. Of particular interest are the links between electrical resistivity and near‐surface moisture content; recent work has demonstrated that it is possible to calibrate hydrological models using geophysical measurements. In this study we explore the use of in‐field electrical resistivity data for calibrating unsaturated soil retention parameters and saturated hydraulic conductivity used for modeling unsaturated fluid flow. We study a synthetic case study, and a well‐characterized site in the northeast of England and develop an approach to calibrate retention parameters for a mudstone and a sandstone formation, the former being an actively failing unit. Petrophysical relationships between electrical resistivity and moisture content (or saturation) are established for both formations. 2D hydrological models are driven by effective rainfall estimations; subsequently these models are coupled with a geophysical forward model via a Markov chain Monte Carlo approach. For the synthetic case, we show that our modeling approach is sensitive to the moisture retention parameters, while less so to saturated hydraulic conductivity. We observe the same characteristics and sensitivities for the field case, albeit with a greater data misfit. Further hydrological simulations suggest that the slope retained high moisture contents in the months preceding a rotational failure. Therefore, we propose that coupled hydrological and geophysical modeling approaches could aid in enhancing landslide monitoring, modeling, and early warning efforts.
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institution Kabale University
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spelling doaj-art-53aa449b87e3493abde2c67d23d8cf232025-08-20T03:30:57ZengWileyWater Resources Research0043-13971944-79732024-10-016010n/an/a10.1029/2023WR036319Coupled Hydrogeophysical Modeling to Constrain Unsaturated Soil Parameters for a Slow‐Moving LandslideJ. P. Boyd0J. E. Chambers1P. B. Wilkinson2P. I. Meldrum3E. Bruce4A. Binley5British Geological Survey Nottingham UKBritish Geological Survey Nottingham UKBritish Geological Survey Nottingham UKBritish Geological Survey Nottingham UKBritish Geological Survey Nottingham UKLancaster University Lancaster UKAbstract Geophysical methods have proven to be useful for investigating unstable slopes as they are both non‐invasive and sensitive to the spatial distribution of physical properties in the subsurface. Of particular interest are the links between electrical resistivity and near‐surface moisture content; recent work has demonstrated that it is possible to calibrate hydrological models using geophysical measurements. In this study we explore the use of in‐field electrical resistivity data for calibrating unsaturated soil retention parameters and saturated hydraulic conductivity used for modeling unsaturated fluid flow. We study a synthetic case study, and a well‐characterized site in the northeast of England and develop an approach to calibrate retention parameters for a mudstone and a sandstone formation, the former being an actively failing unit. Petrophysical relationships between electrical resistivity and moisture content (or saturation) are established for both formations. 2D hydrological models are driven by effective rainfall estimations; subsequently these models are coupled with a geophysical forward model via a Markov chain Monte Carlo approach. For the synthetic case, we show that our modeling approach is sensitive to the moisture retention parameters, while less so to saturated hydraulic conductivity. We observe the same characteristics and sensitivities for the field case, albeit with a greater data misfit. Further hydrological simulations suggest that the slope retained high moisture contents in the months preceding a rotational failure. Therefore, we propose that coupled hydrological and geophysical modeling approaches could aid in enhancing landslide monitoring, modeling, and early warning efforts.https://doi.org/10.1029/2023WR036319hydrogeophysicslandslidessoil retention parametersMcMC sampling
spellingShingle J. P. Boyd
J. E. Chambers
P. B. Wilkinson
P. I. Meldrum
E. Bruce
A. Binley
Coupled Hydrogeophysical Modeling to Constrain Unsaturated Soil Parameters for a Slow‐Moving Landslide
Water Resources Research
hydrogeophysics
landslides
soil retention parameters
McMC sampling
title Coupled Hydrogeophysical Modeling to Constrain Unsaturated Soil Parameters for a Slow‐Moving Landslide
title_full Coupled Hydrogeophysical Modeling to Constrain Unsaturated Soil Parameters for a Slow‐Moving Landslide
title_fullStr Coupled Hydrogeophysical Modeling to Constrain Unsaturated Soil Parameters for a Slow‐Moving Landslide
title_full_unstemmed Coupled Hydrogeophysical Modeling to Constrain Unsaturated Soil Parameters for a Slow‐Moving Landslide
title_short Coupled Hydrogeophysical Modeling to Constrain Unsaturated Soil Parameters for a Slow‐Moving Landslide
title_sort coupled hydrogeophysical modeling to constrain unsaturated soil parameters for a slow moving landslide
topic hydrogeophysics
landslides
soil retention parameters
McMC sampling
url https://doi.org/10.1029/2023WR036319
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AT pimeldrum coupledhydrogeophysicalmodelingtoconstrainunsaturatedsoilparametersforaslowmovinglandslide
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