2020
DOI: 10.3389/feart.2020.573396
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The NEWTON-g Gravity Imager: Toward New Paradigms for Terrain Gravimetry

Abstract: Knowledge of the spatio-temporal changes in the characteristics and distribution of subsurface fluids is key to properly addressing important societal issues, including: sustainable management of energy resources (e.g., hydrocarbons and geothermal energy), management of water resources, and assessment of hazard (e.g., volcanic eruptions). Gravimetry is highly attractive because it can detect changes in subsurface mass, thus providing a window into processes that involve deep fluids. However, high cost and oper… Show more

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Cited by 29 publications
(16 citation statements)
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References 60 publications
(81 reference statements)
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“…to a bias instability value of 8.18µGal. A network of these sensors is currently being constructed for deployment on Mount Etna as part of the NEWTON-g collaboration 20 , to create the first multi-pixel gravity imager.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…to a bias instability value of 8.18µGal. A network of these sensors is currently being constructed for deployment on Mount Etna as part of the NEWTON-g collaboration 20 , to create the first multi-pixel gravity imager.…”
Section: Discussionmentioning
confidence: 99%
“…With this application in mind, the authors have joined a consortium (NEWTON-g) to develop a gravimeter network on Mt. Etna comprising tens of MEMS gravimeter 'pixels' 20 , and a MuQuans Absolute Quantum Gravimeter 21 .…”
Section: Introductionmentioning
confidence: 99%
“…Quantum sensors also offer the potential to improve climate risk scenarios by providing new or more accurate climate information on important indicators such as flooding and forest fire prediction. Quantum gravimeters are already being studied for use in volcano hazard assessments and mitigation plans [94].…”
Section: E Societymentioning
confidence: 99%
“…At present, the NSAN does not employ gravimeters for geophysical monitoring in its operational infrastructure, but acknowledges the potential for, for example, volcano monitoring in the Caribbean Netherlands, similar to what is being explored in the NEWTON‐g project (Carbone et al., 2020; Ménoret et al., 2018; Middlemiss et al., 2016), or for hydrothermal monitoring purposes (Sugihara & Ishido, 2008).…”
Section: Automating Psd Quality Control For the Nsanmentioning
confidence: 99%