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Application of groundwater flow model in assessing aquifer layers interaction in arid catchment area

机译:地下水流模型在干旱集水区含水层互动评估中的应用

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摘要

Sustainable groundwater aquifers are critical in arid and semiarid countries due to the scarcity of surface water and precipitation. Management of groundwater resources requires estimation of aquifer properties and interaction between multilayers in heterogeneous aquifers. A three-dimensional groundwater flow model was implemented to simulate a complex multilayer aquifer in Oman. Steady-state model was calibrated using groundwater level data in July 2016. Both the automated parameter calibration technique and manual trial and error method were applied for calibrating hydraulic conductivity, groundwater recharge, and anisotropy of soil layers. The optimum set of parameters of 14 observation wells was obtained from the simulation with minimum root mean square error of 0.8 m for groundwater water level. The calibrated model was validated using measured data for October 2016, and root mean square error was found to be 0.81 m for groundwater water level. Among the observation wells which were used in the above analysis, 4 of them were directed to different aquifer depths and each two observation wells were in the same location. These two sets of wells, therefore, were used for analyzing interactions among different aquifer layers. Results showed that increased pumping rates enhanced water transfer between multilayers due to increased hydraulic gradient. The effect was more dominant in layers with high vertical hydraulic conductivity. Also, the sensitivity analysis was performed and results indicated that the predicted water level was less sensitive to vertical anisotropy. The findings of this study could be useful for decision-makers for better management of groundwater resources in arid regions.
机译:由于地表水和降水稀缺,可持续地下水含水层在干旱和半干旱国家至关重要。地下水资源管理需要估算异构含水层中多层的含水层性质和相互作用。实施了三维地下水流模型,以模拟阿曼的复杂多层含水层。 2016年7月,使用地下水位数据进行校准稳态模型。应用自动参数校准技术和手动试验和误差方法,用于校准液压导电性,地下水补给和土壤层的各向异性。从模拟中获得14个观察孔的最佳参数集,具有0.8μm的最小根均线误差对于地下水水位。使用测量数据验证了2016年10月的测量数据验证了校准的模型,并且对地下水水位的根均方误差被发现为0.81米。在上述分析中使用的观察孔中,其中4个针对不同的含水层深度,每两个观察孔都在同一位置。因此,这两套孔用于分析不同含水层之间的相互作用。结果表明,由于液压梯度增加,增加了泵浦速率增强了多层之间的水转印。在具有高垂直液压导电性的层中的效果更大。而且,进行了灵敏度分析,结果表明预测的水位对垂直各向异性敏感。本研究的结果对于决策者来说可用于更好地管理干旱地区地下水资源。

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