Assessment of the value of microgravity to estimate the principal directions of the anisotropic transmissivity of aquifers from pumping tests: A study using a Hough transform based automatic algorithm

Fernández-Álvarez, José Paulino; González-Quirós, Andrés; Melendi, David Rubio

doi:10.1016/j.jappgeo.2016.09.015

Cited by 7 publications

(6 citation statements)

References 48 publications

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“…To evaluate whether the Mariana Arc volcanoes are aligned as great circles, we used a Hough Transform approach (Ballard, 1981;Duda & Hart, 1972). This method has been used in Earth sciences to detect aligned structures, including volcanic vents and monogenetic volcanoes (Cebriá et al, 2011;Fernández-Álvarez et al, 2016;Martínez et al, 2000;von Veh & Németh, 2009;Wadge & Cross, 1988). Specific to arcs, Pacey et al (2013) applied a Hough Transform approach to identify great circle segmentation in the central Sunda Arc.…”

Section: Great Circles: Hough Transformmentioning

confidence: 99%

Upper Plate Stress Controls the Distribution of Mariana Arc Volcanoes

2020

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We present a spatial analysis of volcano distribution and morphology in the young, intraoceanic Mariana Arc. Both the quality of fit to idealized models and the divergence from those ideals indicate that Mariana Arc volcanoes are arranged into five great circle segments, rather than a single small circle or multiple small circles. The alignment of magmatic centers suggests that magma transport is controlled by the stress regime in the deep crust and/or lithospheric mantle of the Philippine Sea Plate, into which the arc is emplaced, and that arc‐normal tension is the dominant process operating in the deep lithosphere along the whole arc. Volcano morphologies indicate that the stress regime in the shallow crust varies between arc‐normal tension and compression, which also implies that the stress field can vary with depth in the arc lithosphere. We show that this horizontal and vertical stress partitioning can be related to the changing dip of the subducting plate and the breadth of the zone where it is coupled with the overriding plate. The variation in stress regime is consistent with both the distribution of seismicity in the Philippine Sea Plate and with the structural fabrics of the nonvolcanic part of the plate margin to the south. Our analysis suggests that the upper plate exerts the principal control on the distribution of volcanoes in the Mariana Arc. Where tension in the deeper parts of arc lithosphere is sufficiently concentrated, then a distinct volcanic front is produced.

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Section: Great Circles: Hough Transformmentioning

confidence: 99%

Upper Plate Stress Controls the Distribution of Mariana Arc Volcanoes

2020

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“…Gravity changes in aquifer systems have been analyzed in several studies, which were mainly concerned on characterizing storage properties (e.g., Montgomery, 1971;Pool and Eychaner, 1995;Tapley et al, 2004;Pool, 2008;Gehman et al, 2009;Hinderer et al, 2009;Jacob et al, 2008Jacob et al, , 2009Jacob et al, , 2010Christiansen et al, 2011;Pfeffer et al, 2011). Some works have specifically addressed the study of gravimetric variations associated with the operation of a pumping well in unconfined aquifers (e.g., Damiata and Lee, 2006;Blainey et al, 2007;Herckenrath et al, 2012;González-Quirós et al, 2014;Fernández-Álvarez et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Impact of multiple uncertainties on gravimetric variations across randomly heterogeneous aquifers during pumping

Maina

Guadagnini

Riva

2021

Advances in Water Resources

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“…Numerous methods based on aquifer tests have been developed to estimate the horizontal aquifer anisotropy (Kucuk and Brigham 1981;Neuman et al 1984;Mutch 2005;Mathias and Butler 2007). Recently, innovative methodologies based on geophysical measurements (electrical anisotropy, values of microgravity) have been developed (Al-Hazaimay et al 2016;Fernandez-Alvarez et al 2016), but are still not widely used. Therefore, information on the degree of horizontal anisotropy of an aquifer may not be available.…”

Section: Introductionmentioning

confidence: 99%

Conceptualization and Calibration of Anisotropic Alluvial Systems: Pitfalls and Biases

Gianni¹,

Doherty²,

Brunner

2018

Groundwater

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Physical properties of alluvial environments typically feature a high degree of anisotropy and are characterized by dynamic interactions between the surface and the subsurface. Hydrogeological models are often calibrated under the assumptions of isotropic hydraulic conductivity fields and steady-state conditions. We aim at understanding how these simplifications affect predictions of the water table using physically based models and advanced calibration and uncertainty analysis approaches based on singular value decomposition and Bayesian analysis. Specifically, we present an analysis of the information content provided by steady-state hydraulic data compared to transient data with respect to the estimation of aquifer and riverbed hydraulic properties. We show that assuming isotropy or fixed anisotropy may generate biases both in the estimation of aquifer and riverbed parameters as well as in the predictive uncertainty of the water table. We further demonstrate that the information content provided by steady-state hydraulic heads is insufficient to jointly estimate the aquifer anisotropy together with the aquifer and riverbed hydraulic conductivities and that transient data can help to reduce the predictive uncertainty to a greater extent. The outcomes of the synthetic analysis are applied to the calibration of a dynamic and anisotropic alluvial aquifer in Switzerland (The Rhône River). The results of the synthetic and real world modeling and calibration exercises documented herein provide insight on future data acquisition as well as modeling and calibration strategies for these environments. They also provide an incentive for evaluation and estimation of commonly made simplifying assumptions in order to prevent underestimation of the predictive uncertainty.

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Assessment of the value of microgravity to estimate the principal directions of the anisotropic transmissivity of aquifers from pumping tests: A study using a Hough transform based automatic algorithm

Cited by 7 publications

References 48 publications

Upper Plate Stress Controls the Distribution of Mariana Arc Volcanoes

Upper Plate Stress Controls the Distribution of Mariana Arc Volcanoes

Impact of multiple uncertainties on gravimetric variations across randomly heterogeneous aquifers during pumping

Conceptualization and Calibration of Anisotropic Alluvial Systems: Pitfalls and Biases

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