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| Titel |
Potential climate change impacts on the water balance of regional unconfined aquifer systems in south-western Australia |
| VerfasserIn |
R. Ali, D. McFarlane, S. Varma, W. Dawes, I. Emelyanova, G. Hodgson |
| 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 (2012-12-04), S.4581-4601 |
| Datensatznummer |
250013606
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| Publikation (Nr.) |
 copernicus.org/hess-16-4581-2012.pdf |
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| Zusammenfassung |
| This study assesses climate change impacts on water balance components of
the regional unconfined aquifer systems in south-western Australia, an
area that has experienced a marked decline in rainfall since the mid 1970s
and is expected to experience further decline due to global warming.
Compared with the historical period of 1975 to 2007, reductions in the mean
annual rainfall of between 15 and 18 percent are expected under a dry
variant of the 2030 climate which will reduce recharge rates by between 33
and 49 percent relative to that under the historical period climate.
Relative to the historical climate, reductions of up to 50 percent in
groundwater discharge to the ocean and drainage systems are also expected.
Sea-water intrusion is likely in the Peel-Harvey Area under the dry
future climate and net leakage to confined systems is projected to decrease
by up to 35 percent which will cause reduction in pressures in confined
systems under current abstraction. The percentage of net annual recharge
consumed by groundwater storage, and ocean and drainage discharges is
expected to decrease and percentage of net annual recharge consumed by
pumping and net leakage to confined systems to increase under median and dry
future climates. Climate change is likely to significantly impact
various water balance components of the regional unconfined aquifer systems
of south-western Australia. We assess the quantitative climate change impact
on the different components (the amounts) using the most widely used GCMs in
combination with dynamically linked recharge and physically distributed
groundwater models. |
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