|
Titel |
Sequential and joint hydrogeophysical inversion using a field-scale groundwater model with ERT and TDEM data |
VerfasserIn |
D. Herckenrath, G. Fiandaca, E. Auken, P. Bauer-Gottwein |
Medientyp |
Artikel
|
Sprache |
Englisch
|
ISSN |
1027-5606
|
Digitales Dokument |
URL |
Erschienen |
In: Hydrology and Earth System Sciences ; 17, no. 10 ; Nr. 17, no. 10 (2013-10-18), S.4043-4060 |
Datensatznummer |
250085963
|
Publikation (Nr.) |
copernicus.org/hess-17-4043-2013.pdf |
|
|
|
Zusammenfassung |
Increasingly, ground-based and airborne geophysical data sets are used to
inform groundwater models. Recent research focuses on establishing coupling
relationships between geophysical and groundwater parameters. To fully
exploit such information, this paper presents and compares different
hydrogeophysical inversion approaches to inform a field-scale groundwater
model with time domain electromagnetic (TDEM) and electrical resistivity
tomography (ERT) data. In a sequential hydrogeophysical inversion (SHI) a
groundwater model is calibrated with geophysical data by coupling
groundwater model parameters with the inverted geophysical models. We
subsequently compare the SHI with a joint hydrogeophysical inversion (JHI).
In the JHI, a geophysical model is simultaneously inverted with a
groundwater model by coupling the groundwater and geophysical parameters to
explicitly account for an established petrophysical relationship and its
accuracy. Simulations for a synthetic groundwater model and TDEM data showed
improved estimates for groundwater model parameters that were coupled to
relatively well-resolved geophysical parameters when employing a high-quality
petrophysical relationship. Compared to a SHI these improvements were
insignificant and geophysical parameter estimates became slightly worse.
When employing a low-quality petrophysical relationship, groundwater model
parameters improved less for both the SHI and JHI, where the SHI performed
relatively better. When comparing a SHI and JHI for a real-world groundwater
model and ERT data, differences in parameter estimates were small. For both
cases investigated in this paper, the SHI seems favorable, taking into
account parameter error, data fit and the complexity of implementing a JHI
in combination with its larger computational burden. |
|
|
Teil von |
|
|
|
|
|
|