Monitoring groundwater-surface water (GW-SW) interactions is essential for effectively managing the available water resources in semi-arid and arid environments. The focus of this study was to quantify how much SW is being exchanged with the shallow GW aquifer in the Treasure Valley (TV), Idaho, USA. Previous water budgets estimated regional canal seepage without incorporating canal variability and flow measurement uncertainty. To address this, we applied both direct (gain/loss) and indirect (electrical resistivity tomography (ERT)) techniques. Direct seepage measurements were taken on canals capturing a range of different characteristics in the TV. The discrete measurements were then used to estimate the total seepage anticipated to be lost from these canals during the irrigation season. Our findings showed high seepage variability across the canals. The ERT inversion approach was utilized before and after the irrigation season by applying an advanced inversion scheme to better constrain the canal seepage spatial variability and uncertainty by quantifying changes in the saturated zone with 2D-ERT results. Temporal changes in the subsurface resistivity were observed due to the lateral flow from the nearby surface canal during the irrigation season. The combination of these approaches improves our understanding of SW-GW interactions in intensively managed irrigation systems.

中文翻译：

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在美国爱达荷州宝藏谷集约化管理的水资源系统中使用增益/损耗法和电阻率断层扫描进行运河渗流量化的案例研究


监测地下水-地表水 （GW-SW） 相互作用对于有效管理半干旱和干旱环境中的可用水资源至关重要。本研究的重点是量化与美国爱达荷州宝藏谷 （TV） 的浅层 GW 含水层交换的 SW 量。以前的水预算估计了区域性运河渗漏，但没有考虑运河变化和流量测量不确定性。为了解决这个问题，我们应用了直接（增益/损耗）和间接（电阻率断层扫描 （ERT））技术。对渠道进行直接渗流测量，捕获了电视中的一系列不同特征。然后，使用离散测量值来估计灌溉季节预计这些渠道损失的总渗漏量。我们的研究结果表明，整个运河的渗流变异性很高。ERT 反演方法在灌溉季节前后使用，通过应用先进的反演方案，通过使用 2D-ERT 结果量化饱和区的变化来更好地限制运河渗流空间变异性和不确定性。由于灌溉季节附近地表运河的侧向流，观察到地下电阻率的时间变化。这些方法的结合提高了我们对集约化管理灌溉系统中 SW-GW 相互作用的理解。