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Groundwater surface mapping informs sources of catchment baseflow

机译:地下水图可告知流域基流的来源

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Groundwater discharge is a major contributor to stream baseflow. Quantifyingthis flux is difficult, despite its considerable importance to water resourcemanagement and evaluation of the effects of groundwater extraction onstreamflow. It is important to be able to differentiate between contributionsto streamflow from regional groundwater discharge (more susceptible togroundwater extraction) compared to interflow processes (arguably lesssusceptible to groundwater extraction). Here we explore the use ofgroundwater surface mapping as an independent data set to constrain estimatesof groundwater discharge to streamflow using traditional digital filter andtracer techniques. We developed groundwater surfaces from 88 monitoring boresusing Kriging with external drift and for a subset of 33 bores with shallowscreen depths. Baseflow estimates at the catchment outlet were made using theEckhardt digital filter approach and tracer data mixing analysis using majorion signatures. Our groundwater mapping approach yielded two measures(percentage area intersecting the land surface and monthly change insaturated volume) that indicated that digital filter-derived baseflowsignificantly exceeded probable groundwater discharge during most months.Tracer analysis was not able to resolve contributions from ungauged tributaryflows (sourced from either shallow flow paths, i.e. interflow and perchedaquifer discharge, or regional groundwater discharge) and regionalgroundwater. Groundwater mapping was able to identify ungauged sub-catchmentswhere regional groundwater discharge was too deep to contribute to tributaryflow and thus where shallow flow paths dominated the tributary flow. Ourresults suggest that kriged groundwater surfaces provide a useful, empiricaland independent data set for investigating sources of fluxes contributing tobaseflow and identifying periods where baseflow analysis may overestimategroundwater discharge to streamflow.
机译:地下水排放是河流基本流量的主要贡献者。尽管量化通量对水资源管理和评估地下水开采对水流的影响非常重要,但很难对其进行量化。与分流过程(可以说对地下水抽取的敏感性较低)相比,区分区域地下水排放(对地下水抽取的敏感性更高)对水流的贡献非常重要。在这里,我们探索使用地下水表面映射作为独立的数据集,以限制使用传统的数字滤波和示踪技术对地下水排放量向水流的估算。我们使用外部漂移的Kriging技术从88个监测钻孔中开发了地下水表面,并为33个浅屏深度的钻孔开发了地下水表面。流域出口处的基流估计值是使用Eckhardt数字滤波器方法和使用主要特征的示踪剂数据混合分析得出的。我们的地下水测绘方法产生了两个测量值(相交于地面的面积百分比和饱和水量的每月变化),表明在大多数月份中,数字过滤器衍生的基流大大超过了可能的地下水排放量。追踪分析无法解决未分流的支流的贡献要么是浅水流动路径,即内流和高位蓄水层的排放,要么是区域地下水的排放)和区域地下水。地下水测绘能够确定未泄洪的子汇水面积,其中区域地下水排放量太深而无法促进支流,因此,浅流径占支流的主导地位。我们的结果表明,克里夫特地下水面提供了有用的,经验性的和独立的数据集,用于调查有助于基流的通量来源并确定基流分析可能高估地下水向水流排放的时期。

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