 |
| Titel |
Can the dataset of field based recharge estimates in Australia be used to predict recharge in data-poor areas? |
| VerfasserIn |
R. S. Crosbie, I. D. Jolly, F. W. Leaney, C. Petheram |
| Medientyp |
Artikel
|
| Sprache |
Englisch
|
| ISSN |
1027-5606
|
| Digitales Dokument |
URL |
| Erschienen |
In: Hydrology and Earth System Sciences ; 14, no. 10 ; Nr. 14, no. 10 (2010-10-25), S.2023-2038 |
| Datensatznummer |
250012452
|
| Publikation (Nr.) |
 copernicus.org/hess-14-2023-2010.pdf |
|
|
|
|
|
| Zusammenfassung |
Effective management of water resources requires that all elements of the
water balance be estimated. Groundwater recharge measurements are difficult,
time consuming and expensive. In some cases a field study cannot be
justified and simple empirical relationships are used to estimate recharge,
and often the value chosen is simply a percentage of rainfall. This paper
aims to use a database of 4386 field based estimates of recharge from 172
studies in Australia to produce simple empirical relationships that relate
recharge to nationally available datasets and hence can be used to estimate
recharge in data-poor areas in a scientifically defensible way.
It was found that the vegetation and soil type were critical determinants in
forming relationships between average annual rainfall and average annual
recharge. Climate zones and surface geology (lithology) were not found to be
significant determinants in the relationship between rainfall and recharge.
The method used to estimate recharge had an impact upon the magnitude of the
recharge estimates due to the spatial and temporal scales over which the
different methods estimate recharge.
Relationships have been developed here between average annual rainfall and
average annual recharge for combinations of soil and vegetation type that
can be used with only nationally available datasets to provide a recharge
estimate. These relationships can explain 60% of the variance in recharge
measurements across Australia. The uncertainty in the recharge estimated
using these relationships is generally greater than an order of magnitude.
This means that if these relationships are used to help determine water
allocations, then the precautionary principle should limit allocations to
less than about 5% of the estimated recharge. If allocations are greater
than this, a more detailed site specific study is warranted. |
| |
|
| Teil von |
|
|
|
|
|
|
|
|