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Title: Quantifying shallow subsurface water and heat dynamics using coupled hydrological-thermal-geophysical inversion

Abstract

Improving our ability to estimate the parameters that control water and heat fluxes in the shallow subsurface is particularly important due to their strong control on recharge, evaporation and biogeochemical processes. The objectives of this study are to develop and test a new inversion scheme to simultaneously estimate subsurface hydrological, thermal and petrophysical parameters using hydrological, thermal and electrical resistivity tomography (ERT) data. The inversion scheme – which is based on a nonisothermal, multiphase hydrological model – provides the desired subsurface property estimates in high spatiotemporal resolution. A particularly novel aspect of the inversion scheme is the explicit incorporation of the dependence of the subsurface electrical resistivity on both moisture and temperature. The scheme was applied to synthetic case studies, as well as to real datasets that were autonomously collected at a biogeochemical field study site in Rifle, Colorado. At the Rifle site, the coupled hydrological-thermal-geophysical inversion approach well predicted the matric potential, temperature and apparent resistivity with the Nash–Sutcliffe efficiency criterion greater than 0.92. Synthetic studies found that neglecting the subsurface temperature variability, and its effect on the electrical resistivity in the hydrogeophysical inversion, may lead to an incorrect estimation of the hydrological parameters. The approach is expected to be especiallymore » useful for the increasing number of studies that are taking advantage of autonomously collected ERT and soil measurements to explore complex terrestrial system dynamics.« less

Authors:
; ; ; ; ; ;
Publication Date:
Research Org.:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
OSTI Identifier:
1313253
Alternate Identifier(s):
OSTI ID: 1377434
Grant/Contract Number:  
AC02-05CH11231
Resource Type:
Published Article
Journal Name:
Hydrology and Earth System Sciences (Online)
Additional Journal Information:
Journal Name: Hydrology and Earth System Sciences (Online) Journal Volume: 20 Journal Issue: 9; Journal ID: ISSN 1607-7938
Publisher:
European Geosciences Union (EGU)
Country of Publication:
Germany
Language:
English
Subject:
58 GEOSCIENCES

Citation Formats

Tran, Anh Phuong, Dafflon, Baptiste, Hubbard, Susan S., Kowalsky, Michael B., Long, Philip, Tokunaga, Tetsu K., and Williams, Kenneth H. Quantifying shallow subsurface water and heat dynamics using coupled hydrological-thermal-geophysical inversion. Germany: N. p., 2016. Web. https://doi.org/10.5194/hess-20-3477-2016.
Tran, Anh Phuong, Dafflon, Baptiste, Hubbard, Susan S., Kowalsky, Michael B., Long, Philip, Tokunaga, Tetsu K., & Williams, Kenneth H. Quantifying shallow subsurface water and heat dynamics using coupled hydrological-thermal-geophysical inversion. Germany. https://doi.org/10.5194/hess-20-3477-2016
Tran, Anh Phuong, Dafflon, Baptiste, Hubbard, Susan S., Kowalsky, Michael B., Long, Philip, Tokunaga, Tetsu K., and Williams, Kenneth H. Wed . "Quantifying shallow subsurface water and heat dynamics using coupled hydrological-thermal-geophysical inversion". Germany. https://doi.org/10.5194/hess-20-3477-2016.
@article{osti_1313253,
title = {Quantifying shallow subsurface water and heat dynamics using coupled hydrological-thermal-geophysical inversion},
author = {Tran, Anh Phuong and Dafflon, Baptiste and Hubbard, Susan S. and Kowalsky, Michael B. and Long, Philip and Tokunaga, Tetsu K. and Williams, Kenneth H.},
abstractNote = {Improving our ability to estimate the parameters that control water and heat fluxes in the shallow subsurface is particularly important due to their strong control on recharge, evaporation and biogeochemical processes. The objectives of this study are to develop and test a new inversion scheme to simultaneously estimate subsurface hydrological, thermal and petrophysical parameters using hydrological, thermal and electrical resistivity tomography (ERT) data. The inversion scheme – which is based on a nonisothermal, multiphase hydrological model – provides the desired subsurface property estimates in high spatiotemporal resolution. A particularly novel aspect of the inversion scheme is the explicit incorporation of the dependence of the subsurface electrical resistivity on both moisture and temperature. The scheme was applied to synthetic case studies, as well as to real datasets that were autonomously collected at a biogeochemical field study site in Rifle, Colorado. At the Rifle site, the coupled hydrological-thermal-geophysical inversion approach well predicted the matric potential, temperature and apparent resistivity with the Nash–Sutcliffe efficiency criterion greater than 0.92. Synthetic studies found that neglecting the subsurface temperature variability, and its effect on the electrical resistivity in the hydrogeophysical inversion, may lead to an incorrect estimation of the hydrological parameters. The approach is expected to be especially useful for the increasing number of studies that are taking advantage of autonomously collected ERT and soil measurements to explore complex terrestrial system dynamics.},
doi = {10.5194/hess-20-3477-2016},
journal = {Hydrology and Earth System Sciences (Online)},
number = 9,
volume = 20,
place = {Germany},
year = {2016},
month = {8}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
https://doi.org/10.5194/hess-20-3477-2016

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Works referenced in this record:

Compensating for temperature variations in time-lapse electrical resistivity difference imaging
journal, July 2010

  • Hayley, Kevin; Bentley, L. R.; Pidlisecky, A.
  • GEOPHYSICS, Vol. 75, Issue 4
  • DOI: 10.1190/1.3478208

The Electrical Resistivity Log as an Aid in Determining Some Reservoir Characteristics
journal, December 1942

  • Archie, G. E.
  • Transactions of the AIME, Vol. 146, Issue 01
  • DOI: 10.2118/942054-G

Zonation for 3D aquifer characterization based on joint inversions of multimethod crosshole geophysical data
journal, November 2010

  • Doetsch, Joseph; Linde, Niklas; Coscia, Ilaria
  • GEOPHYSICS, Vol. 75, Issue 6
  • DOI: 10.1190/1.3496476

Review: Some low-frequency electrical methods for subsurface characterization and monitoring in hydrogeology
journal, February 2012


Effects of physical and geochemical heterogeneities on mineral transformation and biomass accumulation during biostimulation experiments at Rifle, Colorado
journal, March 2010


Low temperature dependence of electrical resistivity: Implications for near surface geophysical monitoring
journal, January 2007

  • Hayley, Kevin; Bentley, L. R.; Gharibi, M.
  • Geophysical Research Letters, Vol. 34, Issue 18
  • DOI: 10.1029/2007GL031124

Temperature dependence of the electrical resistivity of water‐saturated rocks
journal, May 1990

  • Llera, F. J.; Sato, M.; Nakatsuka, K.
  • GEOPHYSICS, Vol. 55, Issue 5
  • DOI: 10.1190/1.1442869

Factorial Sampling Plans for Preliminary Computational Experiments
journal, May 1991


Assessing the resolution-dependent utility of tomograms for geostatistics: GEOSTATISTICAL UTILITY OF TOMOGRAMS
journal, April 2004

  • Day-Lewis, F. D.; Lane, J. W.
  • Geophysical Research Letters, Vol. 31, Issue 7
  • DOI: 10.1029/2004GL019617

Improving runoff prediction through the assimilation of the ASCAT soil moisture product
journal, January 2010

  • Brocca, L.; Melone, F.; Moramarco, T.
  • Hydrology and Earth System Sciences, Vol. 14, Issue 10
  • DOI: 10.5194/hess-14-1881-2010

Imaging and characterisation of subsurface solute transport using electrical resistivity tomography (ERT) and equivalent transport models
journal, October 2002


A daily soil temperature model based on air temperature and precipitation for continental applications
journal, January 1993

  • Zheng, D.; Hunt, Er; Running, Sw
  • Climate Research, Vol. 2
  • DOI: 10.3354/cr002183

TOUGH: Model Use, Calibration, and Validation
journal, January 2012


Three-dimensional modelling and inversion of dc resistivity data incorporating topography - II. Inversion
journal, August 2006


Influence of temperature on electrical conductivity on shaly sands
journal, January 1992

  • Sen, Pabitra N.; Goode, Peter A.
  • GEOPHYSICS, Vol. 57, Issue 1
  • DOI: 10.1190/1.1443191

Revealing the temporal dynamics of subsurface temperature in a wetland using time-lapse geophysics
journal, January 2011


An Algorithm for Least-Squares Estimation of Nonlinear Parameters
journal, June 1963

  • Marquardt, Donald W.
  • Journal of the Society for Industrial and Applied Mathematics, Vol. 11, Issue 2
  • DOI: 10.1137/0111030

Hydraulic properties of a model dike from coupled Bayesian and multi-criteria hydrogeophysical inversion
journal, January 2010


The emergence of hydrogeophysics for improved understanding of subsurface processes over multiple scales: The Emergence of Hydrogeophysics
journal, June 2015

  • Binley, Andrew; Hubbard, Susan S.; Huisman, Johan A.
  • Water Resources Research, Vol. 51, Issue 6
  • DOI: 10.1002/2015WR017016

Hydrogeological characterization of the south oyster bacterial transport site using geophysical data
journal, October 2001

  • Hubbard, Susan S.; Chen, Jinsong; Peterson, John
  • Water Resources Research, Vol. 37, Issue 10
  • DOI: 10.1029/2001WR000279

Effects of spatial variability on the rainfall runoff process in a small loess catchment
journal, December 1998


Vadose zone flow model parameterisation using cross-borehole radar and resistivity imaging
journal, October 2002


Soil moisture variability in a temperate deciduous forest: insights from electrical resistivity and throughfall data
journal, June 2014

  • Ma, Yuteng; Van Dam, Remke L.; Jayawickreme, Dushmantha H.
  • Environmental Earth Sciences, Vol. 72, Issue 5
  • DOI: 10.1007/s12665-014-3362-y

Ecohydrology: A hydrologic perspective of climate-soil-vegetation dynamies
journal, January 2000


Influence of hydrological, biogeochemical and temperature transients on subsurface carbon fluxes in a flood plain environment
journal, February 2016


Quantifying and relating land-surface and subsurface variability in permafrost environments using LiDAR and surface geophysical datasets
journal, December 2012


Influence of natural time-dependent variations of electrical conductivity on DC resistivity measurements
journal, January 2004


Hierarchical Bayesian method for mapping biogeochemical hot spots using induced polarization imaging
journal, January 2016

  • Wainwright, Haruko M.; Flores Orozco, Adrian; Bücker, Matthias
  • Water Resources Research, Vol. 52, Issue 1
  • DOI: 10.1002/2015WR017763

Making sense of global sensitivity analyses
journal, April 2014


Remote Estimation of the Hydraulic Properties of a Sand Using Full-Waveform Integrated Hydrogeophysical Inversion of Time-Lapse, Off-Ground GPR Data
journal, January 2009

  • Lambot, Sébastien; Slob, Evert; Rhebergen, Jan
  • Vadose Zone Journal, Vol. 8, Issue 3
  • DOI: 10.2136/vzj2008.0058

Three-dimensional modelling and inversion of dc resistivity data incorporating topography - I. Modelling
journal, August 2006


Roots exert a strong influence on the temperature sensitivityof soil respiration
journal, December 1998

  • Boone, Richard D.; Nadelhoffer, Knute J.; Canary, Jana D.
  • Nature, Vol. 396, Issue 6711
  • DOI: 10.1038/25119

Variably saturated flow and multicomponent biogeochemical reactive transport modeling of a uranium bioremediation field experiment
journal, November 2011

  • Yabusaki, Steven B.; Fang, Yilin; Williams, Kenneth H.
  • Journal of Contaminant Hydrology, Vol. 126, Issue 3-4
  • DOI: 10.1016/j.jconhyd.2011.09.002

Geophysical imaging and thermal modeling of subsurface morphology and thaw evolution of discontinuous permafrost: GEOPHYSICAL IMAGING OF PERMAFROST
journal, September 2013

  • McClymont, Alastair F.; Hayashi, Masaki; Bentley, Laurence R.
  • Journal of Geophysical Research: Earth Surface, Vol. 118, Issue 3
  • DOI: 10.1002/jgrf.20114

TOUGH2 User's Guide Version 2
report, November 1999

  • Pruess, K.; Oldenburg, C.M.; Moridis, G.J.
  • LBNL--43134
  • DOI: 10.2172/751729

iMatTOUGH: An open-source Matlab-based graphical user interface for pre- and post-processing of TOUGH2 and iTOUGH2 models
journal, April 2016


Joint estimation of soil moisture profile and hydraulic parameters by ground-penetrating radar data assimilation with maximum likelihood ensemble filter
journal, April 2014

  • Tran, Anh Phuong; Vanclooster, Marnik; Zupanski, Milija
  • Water Resources Research, Vol. 50, Issue 4
  • DOI: 10.1002/2013WR014583

A Closed-form Equation for Predicting the Hydraulic Conductivity of Unsaturated Soils1
journal, January 1980


Data-domain correlation approach for joint hydrogeologic inversion of time-lapse hydrogeologic and geophysical data
journal, November 2009

  • Johnson, Timothy C.; Versteeg, Roelof J.; Huang, Hai
  • GEOPHYSICS, Vol. 74, Issue 6
  • DOI: 10.1190/1.3237087