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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. Quantifying this flux is difficult, despite its considerable importance to water resource management and evaluation of the effects of groundwater extraction on streamflow. It is important to be able to differentiate between contributions to streamflow from regional groundwater discharge (more susceptible to groundwater extraction) compared to interflow processes (arguably less susceptible to groundwater extraction). Here we explore the use of groundwater surface mapping as an independent data set to constrain estimates of groundwater discharge to streamflow using traditional digital filter and tracer techniques. We developed groundwater surfaces from 88 monitoring bores using Kriging with external drift and for a subset of 33 bores with shallow screen depths. Baseflow estimates at the catchment outlet were made using the Eckhardt digital filter approach and tracer data mixing analysis using major ion signatures. Our groundwater mapping approach yielded two measures (percentage area intersecting the land surface and monthly change in saturated volume) that indicated that digital filter-derived baseflow significantly exceeded probable groundwater discharge during most months. Tracer analysis was not able to resolve contributions from ungauged tributary flows (sourced from either shallow flow paths, i.e. interflow and perched aquifer discharge, or regional groundwater discharge) and regional groundwater. Groundwater mapping was able to identify ungauged sub-catchments where regional groundwater discharge was too deep to contribute to tributary flow and thus where shallow flow paths dominated the tributary flow. Our results suggest that kriged groundwater surfaces provide a useful, empirical and independent data set for investigating sources of fluxes contributing to baseflow and identifying periods where baseflow analysis may overestimate groundwater 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(可以说对地下水提取不那么敏感)相比,能够区分区域地下水排放(对地下水提取更敏感)对水流的贡献很重要。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过滤器和示踪剂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个监测孔开发了地下水表面,并为33个浅筛网深度的钻孔开发了子集。使用Eckhardt数字过滤器方法和使用主要离子特征的示踪剂数据混合分析对集水区出口进行基流估算。我们的地下水测绘方法产生了两个指标(与地面相交的面积百分比和饱和体积的每月变化),表明在大多数月份中,数字过滤器得出的基流大大超过了可能的地下水排放量。示踪分析无法解决未支流的支流(来自浅流路径,即内流和栖息的含水层排水或区域地下水的排放)和区域地下水的贡献。地下水测绘能够确定未泄洪的子汇水面积,这些地区的区域地下水排放量太深而无法支流支流,因此,在支流支流较浅的地方。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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