 |
| Titel |
Improvement of density models of geological structures by fusion of gravity data and cosmic muon radiographies |
| VerfasserIn |
K. Jourde, D. Gibert, J. Marteau |
| Medientyp |
Artikel
|
| Sprache |
Englisch
|
| ISSN |
2193-0856
|
| Digitales Dokument |
URL |
| Erschienen |
In: Geoscientific Instrumentation, Methods and Data Systems ; 4, no. 2 ; Nr. 4, no. 2 (2015-08-25), S.177-188 |
| Datensatznummer |
250115245
|
| Publikation (Nr.) |
 copernicus.org/gi-4-177-2015.pdf |
|
|
|
|
|
| Zusammenfassung |
| This paper examines how the resolution of small-scale geological density models is improved through the
fusion of information provided by gravity measurements and density muon
radiographies. Muon radiography aims at determining the density of geological
bodies by measuring their screening effect on the natural flux of cosmic
muons. Muon radiography essentially works like a medical X-ray scan and
integrates density information along elongated narrow conical volumes.
Gravity measurements are linked to density by a 3-D integration encompassing
the whole studied domain. We establish the mathematical expressions of these
integration formulas – called acquisition kernels – and derive the
resolving kernels that are spatial filters relating the true unknown density
structure to the density distribution actually recovered from the available
data. The resolving kernel approach allows one to quantitatively describe the
improvement of the resolution of the density models achieved by merging
gravity data and muon radiographies. The method developed in this paper may
be used to optimally design the geometry of the field measurements to be
performed in order to obtain a given spatial resolution pattern of the
density model to be constructed. The resolving kernels derived in the joined
muon–gravimetry case indicate that gravity data are almost useless for
constraining the density structure in regions sampled by more than two muon
tomography acquisitions. Interestingly, the resolution in deeper regions not
sampled by muon tomography is significantly improved by joining the two
techniques. The method is illustrated with examples for the La Soufrière
volcano of Guadeloupe. |
| |
|
| Teil von |
|
|
|
|
|
|
|
|