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Recharge estimation and soil moisture dynamics in a Mediterranean, semi-arid karst region

机译:地中海半干旱喀斯特地区的补给估算和土壤水分动力学

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Knowledge of soil moisture dynamics in the unsaturated soil zone providesvaluable information on the temporal and spatial variability of groundwaterrecharge. This is especially true for the Mediterranean region, where asubstantial fraction of long-term groundwater recharge is expected to occurduring high magnitude precipitation events of above-average wet winters. Toelucidate process understanding of infiltration processes during theseextreme events, a monitoring network of precipitation gauges, meteorologicalstations, and soil moisture plots was installed in an area with a steepclimatic gradient in the Jordan Valley region. In three soil moisture plots,Hydrus-1D was used to simulate water movement in the unsaturated soil zonewith soil hydraulic parameters estimated by the Shuffled Complex EvolutionMetropolis algorithm. To generalize our results, we modified soil depth andrainfall input to simulate the effect of the pronounced climatic gradient andsoil depth variability on percolation fluxes and applied the calibrated modelto a time series with 62 years of meteorological data.Soil moisture measurements showed a pronounced seasonality and suggestedrapid infiltration during heavy rainstorms. Hydrus-1D successfully simulatedshort and long-term soil moisture patterns, with the majority of simulateddeep percolation occurring during a few intensive rainfall events.Temperature drops in a nearby groundwater well were observed synchronouslywith simulated percolation pulses, indicating rapid groundwater rechargemechanisms. The 62-year model run yielded annual percolation fluxes of up to66% of precipitation depths during wet years and of 0% during dryyears. Furthermore, a dependence of recharge on the temporal rainfalldistribution could be shown. Strong correlations between depth of rechargeand soil depth were also observed.
机译:对非饱和土壤带土壤水分动态的了解为地下水补给的时空变化提供了有价值的信息。对于地中海地区而言尤其如此,因为在高于平均水平的潮湿冬季发生的高强度降水事件中,预计会有大量的长期地下水补给发生。为了阐明对这些极端事件的渗透过程的过程理解,在约旦河谷地区一个陡峭的气候梯度地区安装了一个雨量计,气象站和土壤湿度图的监测网络。在三个土壤湿度图中,Hydrus-1D用于模拟非饱和土壤带中的水分运动,其土壤水力参数由Shuffled Complex EvolutionMetropolis算法估算。为了概括我们的结果,我们修改了土壤深度和降雨输入,以模拟明显的气候梯度和土壤深度变异性对渗流通量的影响,并将校准后的模型应用于具有62年气象数据的时间序列。 土壤湿度测量暴雨期间表现出明显的季节性和建议的快速渗透。 Hydrus-1D成功地模拟了短期和长期的土壤水分模式,大多数模拟的深层渗滤发生在几次强降雨事件中。与模拟的渗滤脉动同步观察到附近地下水井的温度下降,表明地下水的快速补给机制。在长达62年的模型运行中,湿润年份的年渗透通量高达降水深度的66%,而干旱年份则为0%。此外,可以显示补给对时间降雨分布的依赖性。还观察到补给深度与土壤深度之间的强相关性。

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