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| Titel |
Modelling climate change effects on a Dutch coastal groundwater system using airborne electromagnetic measurements |
| VerfasserIn |
M. Faneca Sànchez, J. L. Gunnink, E. S. Baaren, G. H. P. Oude Essink, B. Siemon, E. Auken, W. Elderhorst, P. G. B. Louw |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1027-5606
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| Digitales Dokument |
URL |
| Erschienen |
In: Hydrology and Earth System Sciences ; 16, no. 12 ; Nr. 16, no. 12 (2012-12-03), S.4499-4516 |
| Datensatznummer |
250013600
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| Publikation (Nr.) |
 copernicus.org/hess-16-4499-2012.pdf |
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| Zusammenfassung |
| The forecast of climate change effects on the groundwater system in coastal
areas is of key importance for policy makers. The Dutch water system has
been deeply studied because of its complex system of low-lying areas, dunes,
land won to the sea and dikes, but nowadays large efforts are still being
done to find out the best techniques to describe complex
fresh-brackish-saline groundwater dynamic systems. In this paper, we
describe a methodology consisting of high-resolution airborne electromagnetic (EM) measurements used in a 3-D variable-density transient
groundwater model for a coastal area in the Netherlands. We used the
airborne EM measurements in combination with borehole-logging data,
electrical conductivity cone penetration tests and groundwater samples to
create a 3-D fresh-brackish-saline groundwater distribution of the study
area. The EM measurements proved to be an improvement compared to older
techniques and provided quality input for the model. With the help of the
built 3-D variable-density groundwater model, we removed the remaining
inaccuracies of the 3-D chloride field and predicted the effects of three
climate scenarios on the groundwater and surface water system. Results
showed significant changes in the groundwater system, and gave direction for
future water policy. Future research should provide more insight in the
improvement of data collection for fresh-brackish-saline groundwater systems
as it is of high importance to further improve the quality of the model. |
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