Japan Geoscience Union Meeting 2024

Presentation information

[E] Poster

A (Atmospheric and Hydrospheric Sciences ) » A-HW Hydrology & Water Environment

[A-HW21] Hydrological modelling to support water resources management and engineering designs

Thu. May 30, 2024 5:15 PM - 6:45 PM Poster Hall (Exhibition Hall 6, Makuhari Messe)

convener:Tomochika Tokunaga(Department of Environment Systems, University of Tokyo), Jiaqi Liu(The University of Tokyo ), Philip Brunner(CHYN, University of Neuchatel ), Rene Therrien(Laval University)


5:15 PM - 6:45 PM

[AHW21-P01] Assessment of Aquifer Storage Transfer and Recovery System in Saline Confined Aquifer using Simulation-Optimization Model: Lab-scale 3D tank experiment

★Invited Papers

*Euntae Jung1, Minjune Yang2 (1.Institute of Sustainable Earth and Environmental Dynamics, Pukyong National University, 2.Division of Earth and Environmental System Sciences-Major of Envrionmental Geosciences, Pukyong National University)

Keywords:Managed Aquifer Recharge, Aquifer Storage Transfer and Recovery, Simulation-Optimization Model, Optimal Design

Managed Aquifer Recharging (MAR) involves intentionally replenishing an aquifer with surface water or treated wastewater to enhance groundwater resources and ensure a consistent water supply. Additionally, the inherent filtration processes within aquifers contribute to improving water quality, providing a secure storage option that minimizes the risk of external pollution. Consequently, MAR has emerged as an alternative water resource to guarantee stable water availability and mitigate the impact of surface water quality incidents. Aquifer Storage Transfer and Recovery (ASTR) represents a specific method of MAR achieved through injection and extraction wells. The design of the well location, injection/pumping rate, and storage period is crucial to producing fresh water from an extraction well. Designing an ASTR system with multiple wells in heterogeneous aquifers presents numerous potential scenarios, necessitating an optimization approach. This study introduces the simulation-optimization model (S/O Model) aimed at determining the optimal well location, flow rate, and storage period for ASTR systems. The S/O model integrates a quasi-3D groundwater sharp interface model with the Genetic Algorithm (GA) optimization method to derive the most effective design for ASTR systems. Subsequently, a laboratory-scale 3D tank was established to simulate a saline-confined aquifer. Building upon the design results from the S/O model, experiments were conducted to observe changes in the fresh water-salt water interface and measure freshwater extraction from the well. In future studies, the design outcomes of Aquifer Storage and Recovery (ASR) and Aquifer Storage Transfer and Recovery (ASTR) will be determined, considering various hydraulic geological conditions. The goal is to identify the optimal locations for Managed Aquifer Recharge (MAR) systems within domestic watersheds.