Network dynamics for modelling artificial groundwater recharge by a cluster of infiltration basins

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Abstract

In this paper we propose a simple approach for modelling the functioning of a cluster of interconnected infiltration basins: such a modelling is crucial for correctly managing artificial aquifer recharge. We model and dynamically quantify the flow from the bottom of each basin, towards the outer walls of the cluster, and between adjacent basins: as a result of this modelling, saturated hydraulic conductivity parameters are estimated. This goal is accomplished simply by using mass balance arguments and Darcy's law, considering only water levels data and the total water inflow daily bestowed to the trenches; by using a declipping technique, automated recorded data are suitably filtered; then, from these data, an efficient algorithm is implemented for determining which basin is instantaneously fed. This approach can be used for managing the efficiency and performance of such facilities over time, and it can be easily generalized. The model is tested over a real-life site in Castellana Grotte (Southeastern Italy), where an infiltration basins cluster is used as final receptor of the effluents from a tertiary treatment wastewater plant. Novelty and International Appeal Statement: We propose a simple approach for modelling the functioning of a cluster of interconnected infiltration basins. By a dynamical systems approach, we model the flow from the bottom of each basin, towards outer walls of the cluster, and between adjacent basins: as a result, saturated hydraulic conductivity parameters are estimated.

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Di Lena, F., Berardi, M., Masciale, R., & Portoghese, I. (2023). Network dynamics for modelling artificial groundwater recharge by a cluster of infiltration basins. Hydrological Processes, 37(5). https://doi.org/10.1002/hyp.14876

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