Hydrometeorological daily recharge assessment model (DREAM) for the Western Mountain Aquifer, Israel: model application and effects of temporal patterns

Article


Sheffer, N. A., Dafny, E., Gvirtzman, H., Navon, S., Frumkin, A. and Morin, E.. 2010. "Hydrometeorological daily recharge assessment model (DREAM) for the Western Mountain Aquifer, Israel: model application and effects of temporal patterns." Water Resources Research. 46 (5), pp. 1-16. https://doi.org/10.1029/2008WR007607
Article Title

Hydrometeorological daily recharge assessment model (DREAM)
for the Western Mountain Aquifer, Israel: model application and effects of temporal patterns

ERA Journal ID4695
Article CategoryArticle
AuthorsSheffer, N. A. (Author), Dafny, E. (Author), Gvirtzman, H. (Author), Navon, S. (Author), Frumkin, A. (Author) and Morin, E. (Author)
Journal TitleWater Resources Research
Journal Citation46 (5), pp. 1-16
Number of Pages16
Year2010
Place of PublicationHoboken, NJ. United States
ISSN0043-1397
1944-7973
Digital Object Identifier (DOI)https://doi.org/10.1029/2008WR007607
Web Address (URL)http://onlinelibrary.wiley.com/doi/10.1029/2008WR007607/pdf
Abstract

Recharge is a critical issue for water management. Recharge assessment and the factors affecting recharge are of scientific and practical importance. The purpose of this study was to develop a daily recharge assessment model (DREAM) on the basis of a water balance principle with input from conventional and generally available precipitation and evaporation data and demonstrate the application of this model to recharge estimation in the Western Mountain Aquifer (WMA) in Israel. The WMA (area 13,000 km2) is a karst aquifer that supplies 360-400 Mm3 yr-1 of freshwater, which constitutes 20% of Israel's freshwater and is highly vulnerable to climate variability and change. DREAM was linked to a groundwater flow model (FEFLOW) to simulate monthly hydraulic heads and spring flows. The models were calibrated for 1987-2002 and validated for 2003-2007, yielding high agreement between calculated and measured values (R2 = 0.95; relative root-mean-square error = 4.8%; relative bias = 1.04). DREAM allows insights into the effect of intra-annual precipitation distribution factors on recharge. Although annual precipitation amount explains ∼70% of the variability in simulated recharge, analyses with DREAM indicate that the rainy season length is an important factor controlling recharge. Years with similar annual precipitation produce different recharge values as a result of temporal distribution throughout the rainy season. An experiment with a synthetic data set exhibits similar results, explaining ∼90% of the recharge variability. DREAM represents significant improvement over previous recharge estimation techniques in this region by providing near-real-time recharge estimates that can be used to predict the impact of climate variability on groundwater resources at high temporal and spatial resolution.

Keywordsannual precipitation; assessment models; climate variability and change; groundwater flow model; hydraulic heads; karst aquifer; near-real time; rainy seasons; recharge estimates; recharge estimation; root-mean square errors; spatial resolution; spring flow; synthetic datasets; temporal distribution; temporal pattern; water balance
ANZSRC Field of Research 2020401199. Environmental engineering not elsewhere classified
370799. Hydrology not elsewhere classified
400513. Water resources engineering
Public Notes

© 2010 by the American Geophysical Union. This publication is copyright. It may be reproduced in whole or in part for the purposes of study, research, or review, but is subject to the inclusion of an acknowledgment of the source.

Byline AffiliationsHebrew University of Jerusalem, Israel
Institution of OriginUniversity of Southern Queensland
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