Numerical simulation of a managed aquifer recharge system designed to supply drinking water to the city of Amsterdam, The Netherlands

Journal Article (2023)
Author(s)

Pranisha Pokhrel (Universiteit Utrecht, IHE Delft Institute for Water Education)

Yangxiao Zhou (Hebei University, IHE Delft Institute for Water Education)

F.J.C. Smits (Waternet, TU Delft - Water Resources)

Pierre Kamps (Waternet)

T.N. Olsthoorn (Waternet)

Research Group
Water Resources
Copyright
© 2023 Pranisha Pokhrel, Yangxiao Zhou, F.J.C. Smits, Pierre Kamps, T.N. Olsthoorn
DOI related publication
https://doi.org/10.1007/s10040-023-02659-w
More Info
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Publication Year
2023
Language
English
Copyright
© 2023 Pranisha Pokhrel, Yangxiao Zhou, F.J.C. Smits, Pierre Kamps, T.N. Olsthoorn
Related content
Research Group
Water Resources
Issue number
5
Volume number
31
Pages (from-to)
1291-1309
Reuse Rights

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Abstract

Managed aquifer recharge (MAR) is increasingly used to secure drinking water supply worldwide. The city of Amsterdam (The Netherlands) depends largely on the MAR in coastal dunes for water supply. A new MAR scheme is proposed for the production of 10 × 106 m3/year, as required in the next decade. The designed MAR system consists of 10 infiltration ponds in an artificially created sandbank, and 25 recovery wells placed beneath the ponds in a productive aquifer. Several criteria were met for the design, such as a minimum residence time of 60 days and maximum drawdown of 5 cm. Steady-state and transient flow models were calibrated. The flow model computed the infiltration capacity of the ponds and drawdowns caused by the MAR. A hypothetical tracer transport model was used to compute the travel times from the ponds to the wells and recovery efficiency of the wells. The results demonstrated that 98% of the infiltrated water was captured by the recovery wells which accounted for 65.3% of the total abstraction. Other sources include recharge from precipitation (6.7%), leakages from surface water (13.1%), and natural groundwater reserve (14.9%). Sensitivity analysis indicated that the pond conductance and hydraulic conductivity of the sand aquifer in between the ponds and wells are important for the infiltration capacity. The temperature simulation showed that the recovered water in the wells has a stable temperature of 9.8–12.5 °C which is beneficial for post-treatment processes. The numerical modelling approach is useful and helps to gain insights for implementation of the MAR.