Journal article
Jean-Christophe Maréchal, Pierre Perrochet, Yvan Caballero
Hydrogeology Journal, vol. 31, 2023 Nov, pp. 1991--1995
Hydrogeology Journal, vol. 31, 2023 Nov, pp. 1991--1995
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APA
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Maréchal, J.-C., Perrochet, P., & Caballero, Y. (2023). Computing natural recharge using the water-table fluctuation method: where to site an observation well. Hydrogeology Journal, 31, 1991–1995. https://doi.org/10.1007/s10040-023-02707-5
Chicago/Turabian
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Maréchal, Jean-Christophe, Pierre Perrochet, and Yvan Caballero. “Computing Natural Recharge Using the Water-Table Fluctuation Method: Where to Site an Observation Well.” Hydrogeology Journal 31 (November 2023): 1991–1995.
MLA
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Maréchal, Jean-Christophe, et al. “Computing Natural Recharge Using the Water-Table Fluctuation Method: Where to Site an Observation Well.” Hydrogeology Journal, vol. 31, Nov. 2023, pp. 1991–95, doi:10.1007/s10040-023-02707-5.
BibTeX Click to copy
@article{mar2023a,
title = {Computing natural recharge using the water-table fluctuation method: where to site an observation well},
year = {2023},
month = nov,
journal = {Hydrogeology Journal},
pages = {1991--1995},
volume = {31},
doi = {10.1007/s10040-023-02707-5},
author = {Maréchal, Jean-Christophe and Perrochet, Pierre and Caballero, Yvan},
month_numeric = {11}
}
Accurate evaluation of natural recharge is fundamental for the estimation of renewable groundwater resources and constitutes a key issue for water resources management. Among physical, chemical and numerical methods, the water-table fuctuation technique is simple and easy to use. The main question is where, with respect to the draining stream, to locate the monitoring well to efectively observe representative water level fuctuations. Storage and discharged volumes in an unconfned aquifer during the water-table fuctuation application are described with equations using the Dupuit-Forchheimer model. This leads to the determination of an optimal distance from the stream (0.4 times the length of the aquifer) for siting observation wells. Beyond this distance, the computed volumes stored in the aquifer are overestimated by up to 20%. Less than this distance, the stored volume is highly underestimated.