Integrated hydrogeophysical modelling and data assimilation for geoelectrical leak detection

Journal of Contaminant Hydrology
Chak-Hau Michael TsoAndrew Binley

Abstract

Time-lapse electrical resistivity tomography (ERT) measurements provide indirectobservations of hydrological processes in the Earth's shallow subsurface at high spatial and temporal resolution. ERT has been used in the past decades to detect leaks and monitor the evolution of associated contaminant plumes. Specifically, inverted resistivity images allow visualization of the dynamic changes in the structure of the plume. However, existing methods do not allow the direct estimation of leak parameters (e.g. leak rate, location, etc.) and their uncertainties. We propose an ensemble-based data assimilation framework that evaluates proposed hydrological models against observed time-lapse ERT measurements without directly inverting for the resistivities. Each proposed hydrological model is run through the parallel coupled hydro-geophysical simulation code PFLOTRAN-E4D to obtain simulated ERT measurements. The ensemble of model proposals is then updated using an iterative ensemble smoother. We demonstrate the proposed framework on synthetic and field ERT data from controlled tracer injection experiments. Our results show that the approach allows joint identification of contaminant source location, initial release time, and solute loadi...Continue Reading

References

Mar 27, 2003·Ground Water·Andrew Binley, Keith Beven
Mar 17, 2010·Journal of Contaminant Hydrology·John A ChristLinda M Abriola
May 19, 2010·Ground Water·Zuansi CaiPeter K Kitanidis
May 23, 2012·Ground Water·Paul W Hadley, Charles J Newell
May 24, 2014·Journal of Contaminant Hydrology·Christopher PowerAntonios Giannopoulos
Dec 3, 2014·Ground Water·Timothy C JohnsonJohn W Lane

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