Articles | Volume 25, issue 5
https://doi.org/10.5194/hess-25-2931-2021
https://doi.org/10.5194/hess-25-2931-2021
Research article
 | 
31 May 2021
Research article |  | 31 May 2021

Estimation of groundwater recharge from groundwater levels using nonlinear transfer function noise models and comparison to lysimeter data

Raoul A. Collenteur, Mark Bakker, Gernot Klammler, and Steffen Birk

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Cited articles

Allen, R. G., Pereira, L. S., Raes, D., and Smith, M.: Crop evapotranspiration – Guidelines for computing crop water requirements, FAO Irrigation and drainage paper 56, Food and Agriculture Organization of the United Nations (FAO), Rome, Italy, 300, D05109, 1998. a, b
Ascott, M. J., Marchant, B. P., Macdonald, D., McKenzie, A. A., and Bloomfield, J. P.: Improved understanding of spatio-temporal controls on regional scale groundwater flooding using hydrograph analysis and impulse response functions, Hydrol. Process., 31, 4586–4599, https://doi.org/10.1002/hyp.11380, 2017. a
Bakker, M. and Schaars, F.: Solving Groundwater Flow Problems with Time Series Analysis: You May Not Even Need Another Model, Groundwater, 57, 826–833, https://doi.org/10.1111/gwat.12927, 2019. a
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This study explores the use of nonlinear transfer function noise (TFN) models to simulate groundwater levels and estimate groundwater recharge from observed groundwater levels. A nonlinear recharge model is implemented in a TFN model to compute the recharge. The estimated recharge rates are shown to be in good agreement with the recharge observed with a lysimeter present at the case study site in Austria. The method can be used to obtain groundwater recharge rates at sub-yearly timescales.
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