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| Titel |
Estimation of temporal and spatial variations in groundwater recharge in unconfined sand aquifers using Scots pine inventories |
| VerfasserIn |
P. Ala-Aho, P. M. Rossi, B. Kløve |
| 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 ; 19, no. 4 ; Nr. 19, no. 4 (2015-04-23), S.1961-1976 |
| Datensatznummer |
250120693
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| Publikation (Nr.) |
 copernicus.org/hess-19-1961-2015.pdf |
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| Zusammenfassung |
| Climate change and land use are rapidly changing the amount and temporal
distribution of recharge in northern aquifers. This paper presents a novel
method for distributing Monte Carlo simulations of 1-D sandy sediment
profile spatially to estimate transient recharge in an unconfined esker
aquifer. The modelling approach uses data-based estimates for the most
important parameters controlling the total amount (canopy cover) and timing
(thickness of the unsaturated zone) of groundwater recharge. Scots pine
canopy was parameterized to leaf area index (LAI) using forestry inventory
data. Uncertainty in the parameters controlling sediment hydraulic
properties and evapotranspiration (ET) was carried over from the Monte Carlo runs
to the final recharge estimates. Different mechanisms for lake, soil, and
snow evaporation and transpiration were used in the model set-up. Finally,
the model output was validated with independent recharge estimates using the
water table fluctuation (WTF) method and baseflow estimation. The results
indicated that LAI is important in controlling total recharge amount. Soil
evaporation (SE) compensated for transpiration for areas with low LAI values,
which may be significant in optimal management of forestry and recharge.
Different forest management scenarios tested with the model showed
differences in annual recharge of up to 100 mm. The uncertainty in recharge
estimates arising from the simulation parameters was lower than the
interannual variation caused by climate conditions. It proved important to
take unsaturated thickness and vegetation cover into account when estimating
spatially and temporally distributed recharge in sandy unconfined aquifers. |
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