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Modelling climate change effects on a dutch coastal groundwater system using airborne electromagnetic measurements

机译:使用机载电磁测量来模拟气候变化对荷兰沿海地下水系统的影响

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The forecast of climate change effects on the groundwater system in coastal areas is of key importance for policy makers. The Dutch water system has been deeply studied because of its complex system of low-lying areas, dunes, land won to the sea and dikes, but nowadays large efforts are still being done to find out the best techniques to describe complex fresh-brackish-saline groundwater dynamic systems. In this paper, we describe a methodology consisting of high-resolution airborne electromagnetic (EM) measurements used in a 3-D variable-density transient groundwater model for a coastal area in the Netherlands. We used the airborne EM measurements in combination with borehole-logging data, electrical conductivity cone penetration tests and groundwater samples to create a 3-D fresh-brackish-saline groundwater distribution of the study area. The EM measurements proved to be an improvement compared to older techniques and provided quality input for the model. With the help of the built 3-D variable-density groundwater model, we removed the remaining inaccuracies of the 3-D chloride field and predicted the effects of three climate scenarios on the groundwater and surface water system. Results showed significant changes in the groundwater system, and gave direction for future water policy. Future research should provide more insight in the improvement of data collection for fresh-brackish-saline groundwater systems as it is of high importance to further improve the quality of the model.
机译:气候变化对沿海地区地下水系统的影响的预测对决策者至关重要。由于其低洼地区,沙丘,通向大海的土地和堤坝等复杂的系统,对荷兰的水系统进行了深入的研究,但如今,人们仍在努力寻找描述复杂的淡咸水的最佳技术。盐碱地下水动力系统。在本文中,我们描述了一种方法,该方法包括在荷兰沿海地区的3-D变密度瞬态地下水模型中使用的高分辨率机载电磁(EM)测量。我们将机载EM测量值与钻孔测井数据,电导率锥渗透测试和地下水样品结合使用,以创建研究区域的3-D淡咸淡盐水咸水分布。与旧技术相比,EM测量被证明是一种改进,并为模型提供了质量输入。在建立的3-D可变密度地下水模型的帮助下,我们消除了3-D氯离子场的剩余误差,并预测了三种气候情景对地下水和地表水系统的影响。结果表明,地下水系统发生了重大变化,并为未来的水政策提供了指导。未来的研究应该在改善淡咸淡盐水系统的数据收集方面提供更多的见识,因为进一步改善模型的质量非常重要。

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