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Application of an improved global-scale groundwater model for water table estimation across New Zealand

机译:一种改进的全球化地下水模型在新西兰水表估计中的应用

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Many studies underline the importance of groundwater assessment at the larger, i.e. global, scale. The groundwater models used for these assessments are dedicated to the global scale and therefore not often applied for studies in smaller areas, e.g. catchments, because of their simplifying assumptions. In New Zealand, advanced numerical groundwater flow models have been applied in several catchments. However, that application is piecemeal: only for a limited amount of aquifers and through a variety of groundwater model suites, formats, and developers. Additionally, there are large areas where groundwater models and data are sparse. Hence, an inter-catchment, inter-regional, or nationwide overview of important groundwater information, such as the water table, does not exist. The investment needed to adequately cover New Zealand with high-resolution groundwater models in a consistent approach would be significant and is therefore not considered possible at this stage. This study proposes a solution that obtains a nationwide overview of groundwater that bridges the gap between the (too-)expensive advanced local models and the (too-)simple global-scale models. We apply an existing, global-scale, groundwater flow model and improve it by feeding in national input data of New Zealand terrain, geology, and recharge, and by slight adjustment of model parametrisation and model testing. The resulting nationwide maps of hydraulic head and water table depths show that the model points out the main alluvial aquifers with fine spatial detail (200m grid resolution). The national input data and finer spatial detail result in better and more realistic variations of water table depth than the original, global-scale, model outputs. In two regional case studies in New Zealand, the hydraulic head shows excellent correlation with the available groundwater level data. Sensitivity and other analyses of our nationwide water tables show that the model is mostly driven by recharge, model resolution, and elevation (gravity), and impeded by the geology (permeability). The use of this first dedicated New Zealand-wide model can aid in provision of water table estimates in data-sparse regions. The national model can also be used to solve inconsistency of models in areas of trans-boundary aquifers, i.e. aquifers that cover more than one region in New Zealand. Comparison of the models, i.e. the national application?(National Water Table model: NWT) with the global model?(Equilibrium Water Table model: EWT), shows that most improvement is achieved by feeding in better and higher-resolution input data. The NWT model still has a bias towards shallow water tables (but less than the EWT model because of the finer model resolution), which could only be solved by feeding in a very high resolution terrain model that incorporates drainage features. Although this is a model shortcoming, it can also be viewed as a valuable indicator of the pre-human water table, i.e. before 90% of wetlands were drained for agriculture since European settlement in New Zealand. Calibration to ground-observed water level improves model results but can of course only work where there are such data available. Future research should therefore focus on both model improvements and more data-driven, improved estimation of hydraulic conductivity, recharge, and the digital elevation model. We further surmise that the findings of this study, i.e. successful application of a global-scale model at smaller scales, will lead to subsequent improvement of the global-scale model equations.
机译:许多研究强调了地下水评估的重要性,即全球,规模。用于这些评估的地下水模型致力于全球规模,因此通常不适用于较小区域的研究,例如,集水区,因为他们简化了假设。在新西兰,先进的数控地下水流模型已应用于几个集水区。但是,该应用程序是零碎的:仅用于有限的含水层,通过各种地下水模型套件,格式和开发人员。此外,还有大区域,地下水模型和数据稀疏。因此,不存在集水区间,区域间或全国范围内的重要地下水信息,例如水表。需要采用一致方法充分覆盖新西兰的投资,这将是显着的,因此在此阶段不会被认为是可能的。本研究提出了一种解决方案,可以在地下水中获得全国范围的地下水概述,该地下水桥接(TOO-)昂贵的本地模型与(TOO-)简单的全球规模模型之间的差距。我们应用现有,全球范围,地下水流模型,并通过喂养新西兰地形,地质和充电的国家输入数据,以及略微调整模型参数和模型测试。由此产生的液压头和水位深度的地图表明,该模型指出了具有精细空间细节(200米网格分辨率)的主要发生含水层。国家输入数据和更精细的空间细节导致水位深度比原始,全球范围,模型输出更好,更具现实的变化。在新西兰的两个区域案例研究中,液压头显示出与可用地下水位数据具有出色的相关性。我们全国水表的敏感性和其他分析表明,该模型主要由充电,模型分辨率和高度(重力)驱动,并受到地质(渗透率)的阻碍。使用这首先专用的新西兰范围的模型可以帮助提供数据稀疏区域的水位估计。国家模式还可用于解决模型在跨界含水层的区域的不一致,即覆盖新西兰多个地区的含水层。模型的比较,即国家申请?(国家水位模型:NWT)与全球模型?(均衡水位模型:EWT),表明大多数改进是通过更好地和更高分辨率的输入数据喂养来实现的。 NWT模型仍然对浅水表(但由于更精细的模型分辨率而少于EWT模型),这只能通过馈入包含引流特征的非常高分辨率的地形模型来解决。虽然这是一种模型缺点,但它也可以被视为人的水上表的宝贵指标,即,自新西兰欧洲欧洲定居以来,90%的湿地被农业排出。校准到地面观测的水位改善了模型结果,但当然只能在有这样的数据的情况下工作。因此,未来的研究应专注于模型改进和更多的数据驱动,改善液压导电性,充电和数字高度模型的估计。我们进一步推出了本研究的结果,即成功应用全球规模模型的较小尺度,将导致全球范围模型方程的后续改进。

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