EMagPy: Open-source standalone software for processing, forward modeling and inversion of electromagnetic induction data

Computers & Geosciences - Tập 146 - Trang 104561 - 2021
Paul McLachlan1, Guillaume Blanchy1, Andrew Binley1
1Lancaster Environment Centre, Lancaster University, Lancaster, UK

Tài liệu tham khảo

Abdu, 2007, Comparing bulk soil electrical conductivity determination using the DUALEM-1S and EM38-DD electromagnetic induction instruments, Soil Sci. Soc. Am. J., 71, 189, 10.2136/sssaj2005.0394 Anderson, 1979, Numerical integration of related Hankel transforms of orders 0 and 1 by adaptive digital filtering, Geophysics, 44, 1287, 10.1190/1.1441007 Andrade, 2018, Generalised relative and cumulative response functions for electromagnetic induction conductivity meters operating at low induction numbers, Geophys. Prospect., 66, 595, 10.1111/1365-2478.12553 Andrade, 2016, Study of errors in conductivity meters using the low induction number approximation and how to overcome them Auken, 2015, An overview of a highly versatile forward and stable inverse algorithm for airborne, ground-based and borehole electromagnetic and electric data, Explor. Geophys., 46, 223, 10.1071/EG13097 Bardossy, 2008, Robust estimation of hydrological model parameters, Hydrol. Earth Syst. Sci., 11 Beamish, 2011, Low induction number, ground conductivity meters: a correction procedure in the absence of magnetic effects, J. Appl. Geophys., 75, 244, 10.1016/j.jappgeo.2011.07.005 Benech, 2016, Interpretation of shallow electromagnetic instruments resistivity and magnetic susceptibility measurements using rapid 1D/3D inversion, Geophysics, 81, E103, 10.1190/geo2014-0549.1 Binley, 2013, Revealing the spatial variability of water fluxes at the groundwater-surface water interface: spatial variability of groundwater-surface water fluxes, Water Resour. Res., 49, 3978, 10.1002/wrcr.20214 Blanchy, 2020, ResIPy, an intuitive open source software for complex geoelectrical inversion/modeling, Comput. Geosci., 137, 104423, 10.1016/j.cageo.2020.104423 Brosten, 2011, Inversion of multi-frequency electromagnetic induction data for 3D characterization of hydraulic conductivity, J. Appl. Geophys., 73, 323, 10.1016/j.jappgeo.2011.02.004 Brown, 2012, Resolution of reservoir scale electrical anisotropy from marine CSEM data, Geophysics, 73, E147, 10.1190/geo2011-0159.1 Butler, 2004, Delineating recharge to a river valley aquifer by riverine seismic and EM methods, J. Environ. Eng. Geophys., 9, 95, 10.4133/JEEG9.2.95 Byrd, 1995, A limited memory algorithm for bound constrained optimization, SIAM J. Sci. Comput., 16, 1190, 10.1137/0916069 Callegary, 2007, Vertical spatial sensitivity and exploration depth of low-induction-number electromagnetic-induction instruments, Vadose Zone J., 6, 158, 10.2136/vzj2006.0120 Chambers, 2014, Derivation of lowland riparian wetland deposit architecture using geophysical image analysis and interface detection, Water Resour. Res., 50, 5886, 10.1002/2014WR015643 Christiansen, 2016, Improved geoarchaeological mapping with electromagnetic induction instruments from dedicated processing and inversion, Rem. Sens., 8, 1022, 10.3390/rs8121022 Corwin, 2008, Past, present, and future trends in soil electrical conductivity measurements using geophysical methods, Handb. Agric. Geophys., 17 Corwin, 1984, Measurement of inverted electrical conductivity profiles using electromagnetic induction, Soil Sci. Soc. Am. J., 48, 288, 10.2136/sssaj1984.03615995004800020011x Davies, 2015, Modeling coastal salinity in quasi 2D and 3D using a DUALEM-421 and inversion software, Groundwater, 53, 424, 10.1111/gwat.12231 Duan, 1994, Optimal use of the SCE-UA global optimization method for calibrating watershed models, J. Hydrol., 158, 265, 10.1016/0022-1694(94)90057-4 Elwaseif, 2017, A matlab-based frequency-domain electromagnetic inversion code (FEMIC) with graphical user interface, Comput. Geosci., 99, 61, 10.1016/j.cageo.2016.08.016 Farquharson, 2003, Simultaneous 1D inversion of loop–loop electromagnetic data for magnetic susceptibility and electrical conductivity, Geophysics, 68, 1857, 10.1190/1.1635038 Frederiksen, 2017, A direct comparison of EMI data and borehole data on a 1000ha data set, Geoderma, 303, 188, 10.1016/j.geoderma.2017.04.028 Fletcher, 1964, Function minimization by conjugate gradients, Comput J, 7, 149, 10.1093/comjnl/7.2.149 Frischknecht, 1987, Electromagnetic physical scale modeling, Electromagn. Methods Appl. Geophys. Theor., 365 Gebbers, 2009, Comparison of instruments for geoelectrical soil mapping at the field scale, Near Surf. Geophys., 7, 179, 10.3997/1873-0604.2009011 Guillemoteau, 2015, Inversion of ground constant offset loop-loop electromagnetic data for a large range of induction numbers, Geophysics, 80, E11, 10.1190/geo2014-0005.1 Guillemoteau, 2016, 1D sequential inversion of portable multi-configuration electromagnetic induction data, Near Surf. Geophys., 14, 423, 10.3997/1873-0604.2016029 Guillemoteau, 2017, Fast 3D multichannel deconvolution of electromagnetic induction loop-loop apparent conductivity data sets acquired at low induction numbers, Geophysics, 82, E357, 10.1190/geo2016-0518.1 Guptasarma, 1997, New digital linear filters for Hankel J0 and J1 transforms, Geophys. Prospect., 45, 745, 10.1046/j.1365-2478.1997.500292.x Hanssens, 2019, Improving the reliability of soil EC-mapping: robust apparent electrical conductivity (RECa) estimation in ground-based frequency domain electromagnetics, Geoderma, 337, 1155, 10.1016/j.geoderma.2018.11.030 Heagy, 2017, A framework for simulation and inversion in electromagnetics, Comput. Geosci., 107, 1, 10.1016/j.cageo.2017.06.018 von Hebel, 2014, Three-dimensional imaging of subsurface structural patterns using quantitative large-scale multiconfiguration electromagnetic induction data, Water Resour. Res., 50, 2732, 10.1002/2013WR014864 Houska, 2015, SPOTting model parameters using a ready-made Python package, PloS One, 10, 10.1371/journal.pone.0145180 Huang, 2000, Conductivity and susceptibility mapping using broadband electromagnetic sensors, J. Environ. Eng. Geophys., 12 Huang, 2016, Mapping soil water dynamics and a moving wetting front by spatiotemporal inversion of electromagnetic induction data, Water Resour. Res., 52, 9131, 10.1002/2016WR019330 Huang, 2017, Potential to map depth-specific soil organic matter content across an olive grove using quasi-2d and quasi-3d inversion of DUALEM-21 data, Catena, 152, 207, 10.1016/j.catena.2017.01.017 Huang, 2017, terraGIS - a webGIS for delivery of digital soil maps in cotton growing areas of Australia, Soil Use Manag., 33, 568, 10.1111/sum.12383 Huang, 2017, Monitoring soil water dynamics using electromagnetic conductivity imaging and the ensemble Kalman Filter, Geoderma, 285, 76, 10.1016/j.geoderma.2016.09.027 Jadoon, 2015, Estimation of soil salinity in a drip irrigation system by using joint inversion of multicoil electromagnetic induction measurements, Water Resour. Res., 51, 3490, 10.1002/2014WR016245 Koganti, 2018, Quantitative mapping of soil salinity using the DUALEM-21S instrument and EM inversion software, Land Degrad. Dev., 29, 1768, 10.1002/ldr.2973 Laloy, 2010, How efficient are one-dimensional models to reproduce the hydrodynamic behavior of structured soils subjected to multi-step outflow experiments?, J. Hydrol., 393, 37, 10.1016/j.jhydrol.2010.02.017 Lavoué, 2010, Electromagnetic induction calibration using apparent electrical conductivity modelling based on electrical resistivity tomography, Near Surf. Geophys., 8, 553, 10.3997/1873-0604.2010037 Mansoor, 2007, On the relationship between iron concentration and induced polarization in marsh soils, Geophysics, 72, A1, 10.1190/1.2374853 Martinelli, 2008, Laterally filtered 1D inversions of small-loop, frequency-domain EMI data from a chemical waste site, Geophysics, 73, F143, 10.1190/1.2917197 Martinez, 2018, Potential to predict depth-specific soil–water content beneath an olive tree using electromagnetic conductivity imaging, Soil Use Manag., 34, 236, 10.1111/sum.12411 Martini, 2017, Repeated electromagnetic induction measurements for mapping soil moisture at the field scale: validation with data from a wireless soil moisture monitoring network, Hydrol. Earth Syst. Sci., 21, 495, 10.5194/hess-21-495-2017 McLachlan, 2017, Geophysical characterisation of the groundwater-surface water interface, Adv. Water Resour., 109, 10.1016/j.advwatres.2017.09.016 McNeill, 1980 Minsley, 2011, A trans-dimensional Bayesian Markov chain Monte Carlo algorithm for model assesment using frequency-domain electromagnetic data, Geophys. J. Int., 187, 252, 10.1111/j.1365-246X.2011.05165.x Moghadas, 2020, One-dimensional deep learning inversion of electromagnetic induction data using convolutional neural network, Geophys. J. Int., 222, 247, 10.1093/gji/ggaa161 Moghadas, 2012, Electromagnetic induction antenna modelling using a linear system of complex antenna transfer functions, Near Surf. Geophys., 10, 237, 10.3997/1873-0604.2012002 Moghadas, 2017, Spatiotemporal monitoring of soil water content profiles in an irrigated field using probabilistic inversion of time-lapse EMI data, Adv. Water Resour., 110, 10.1016/j.advwatres.2017.10.019 Moghadas, 2019, Spatiotemporal monitoring of soil moisture from EMI data using DCT-based Bayesian inference and neural network, J. Appl. Geophys., 169, 226, 10.1016/j.jappgeo.2019.07.004 Muzzamal, 2018, Mapping soil particle-size fractions using additive log-ratio (ALR) and isometric log-ratio (ILR) transformations and proximally sensed ancillary data, Clay Clay Miner., 66, 9, 10.1346/CCMN.2017.064074 Nelder, 1965, A simplex method for function minimization, Comput. J., 7, 308, 10.1093/comjnl/7.4.308 Newell, 2015, Fluvial response to late pleistocene and holocene environmental change in a Thames chalkland headwater: the Lambourn of southern England, PGA (Proc. Geol. Assoc.), 126, 683, 10.1016/j.pgeola.2015.08.008 Nüsch, 2010, vol. 4 Pérez-Flores, 2012, Imaging of 3D electromagnetic data at low-induction numbers, Geophysics, 77, WB47, 10.1190/geo2011-0368.1 Robinson, 2012, Imaging of hill-slope soil moisture wetting patterns in a semi-arid oak savanna catchment using time-lapse electromagnetic induction, J. Hydrol., 416–417, 39, 10.1016/j.jhydrol.2011.11.034 Rücker, 2017, PyGIMLi: an open-source library for modelling and inversion in geophysics, Comput. Geosci., 109, 106, 10.1016/j.cageo.2017.07.011 Saey, 2016, Integrating cone penetration testing into the 1D inversion of multi-receiver EMI data to reconstruct a complex stratigraphic landscape, Catena, 147, 356, 10.1016/j.catena.2016.07.023 Santos, 2004, 1-D laterally constrained inversion of EM34 profiling data, J. Appl. Geophys., 56, 123, 10.1016/j.jappgeo.2004.04.005 Shanahan, 2015, The use of electromagnetic induction to monitor changes in soil moisture profiles beneath different wheat genotypes, Soil Sci. Soc. Am. J., 79, 459, 10.2136/sssaj2014.09.0360 Sherlock, 2003, A new tool for hillslope hydrologists: spatially distributed groundwater level and soilwater content measured using electromagnetic induction, Hydrol. Process., 17, 1965, 10.1002/hyp.1221 Sudduth, 2001, Accuracy issues in electromagnetic induction sensing of soil electrical conductivity for precision agriculture, Comput. Electron. Agric., 31, 239, 10.1016/S0168-1699(00)00185-X Tan, 2019, Simultaneous calibration and inversion algorithm for multiconfiguration electromagnetic induction data acquired at multiple elevations, Geophysics, 84, 10.1190/geo2018-0264.1 Triantafilis, 2005, Mapping clay content variation using electromagnetic induction techniques, Comput. Electron. Agric., 46, 203, 10.1016/j.compag.2004.11.006 Triantafilis, 2000, Calibrating an electromagnetic induction instrument to measure salinity in soil under irrigated cotton, Soil Sci. Soc. Am. J., 64, 1009, 10.2136/sssaj2000.6431009x Van Der Kruk, 2000, An apparent-resistivity concept for low-frequency electromagnetic sounding techniques, Geophys. Prospect., 48, 1033, 10.1046/j.1365-2478.2000.00229.x Virtanen, 2020, SciPy 1.0: fundamental algorithms for scientific computing in Python, Nat. Methods, 17, 261, 10.1038/s41592-019-0686-2 von Hebel, 2019, Calibration, conversion, and quantitative multi-layer inversion of multi-coil rigid-boom electromagnetic induction data, Sensors, 19, 4753, 10.3390/s19214753 Vrugt, 2011, DREAM(D): an adaptive Markov chain Monte Carlo simulation algorithm to solve discrete, noncontinuous, and combinatorial posterior parameter estimation problems, Hydrol. Earth Syst. Sci., 15, 3701, 10.5194/hess-15-3701-2011 Wait, 1982 Whalley, 2017, Methods to estimate changes in soil water for phenotyping root activity in the field, Plant Soil, 415, 407, 10.1007/s11104-016-3161-1 Williams, 1982, An electromagnetic induction technique for reconnaissance surveys of soil salinity hazards, Soil Res., 20, 107, 10.1071/SR9820107 Zare, 2015, Mapping salinity in three dimensions using a DUALEM-421 and electromagnetic inversion software, Soil Sci. Soc. Am. J., 79, 1729, 10.2136/sssaj2015.06.0238 Zhao, 2019, Digital regolith mapping of clay across the Ashley irrigation area using electromagnetic induction data and inversion modelling, Geoderma, 346, 18, 10.1016/j.geoderma.2019.01.033