新西兰沿海城市Ōtautahi/基督城浅层地下水特征和水文分类

IF 2.4 3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY
Amandine L. Bosserelle, Leanne K. Morgan, David E. Dempsey, Irene Setiawan
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引用次数: 0

摘要

地下水存在于许多沿海低洼城市的浅层深处。尽管保护沿海城市化地区免受洪水和气候变化引起的海平面上升的影响很重要,但很少对浅层地下水波动的影响进行调查。本研究的目的是确定浅层地下水的特征,包括地下水深度的时空变化趋势及其与自然和人为压力源的关系。该研究使用了来自新西兰Ōtautahi/克赖斯特彻奇一个独特的广泛而密集的监测网络的地下水深度测量。采用数据驱动分析方法,包括空间插值、自相关、聚类、互相关和趋势分析。尽管这些方法有可能为全市系统提供见解和信息,但它们通常不应用于地下水评估。综合方法揭示了数据集中可识别的集群和趋势。对降雨事件和水流等应力的响应利用聚类分析成功分类。时间序列分析表明,在浅层地下水地区,水位变化较小,聚类分析也发现了这一点。然而,将一些集群归因于特定的水文地质属性或压力源带来了挑战。水文分类的主要特征是靠近潮汐河流及其与潮汐信号的相关性。这些结果突出了使用大型数据集来描述城市沿海地区浅层地下水时空变化特征的价值,并有助于在面对未来气候变化危害时监测基础设施规划。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Shallow groundwater characterisation and hydrograph classification in the coastal city of Ōtautahi/Christchurch, New Zealand

Shallow groundwater characterisation and hydrograph classification in the coastal city of Ōtautahi/Christchurch, New Zealand

Groundwater is present at shallow depth under many coastal low-lying cities. Despite the importance of protecting coastal urbanised areas from flooding and climate-change-induced sea-level rise, the effects of shallow groundwater fluctuations are rarely investigated. The aim of this study was to determine characteristics of shallow groundwater, including spatial and temporal trends in depths to groundwater and their relationship to natural and anthropogenic stressors. The study uses depth to groundwater measurements from a uniquely extensive and densely spaced monitoring network in Ōtautahi/Christchurch, New Zealand. Data-driven analysis approaches were applied, including spatial interpolation, autocorrelation, clustering, cross-correlation and trend analysis. These approaches are not commonly applied for groundwater assessments despite the potential for them to provide insights and information for city-wide systems. The comprehensive approach revealed discernible clusters and trends within the dataset. Responses to stresses such as rainfall events and stream flow were successfully classified using clustering analysis. The time series analysis indicated that in areas of shallow groundwater, low variation in levels occurred and this was also found using clustering. However, attributing some clusters to specific hydrogeological attributes or stressors posed challenges. The primary feature in hydrograph classification proved to be the proximity to tidal rivers and their correlation with tidal signals. These results highlight the value of using large datasets to characterise spatial and temporal variability of shallow groundwater in urban coastal settings and to assist with monitoring infrastructure planning in the face of future climate-change hazards.

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来源期刊
Hydrogeology Journal
Hydrogeology Journal 地学-地球科学综合
CiteScore
5.40
自引率
7.10%
发文量
128
审稿时长
6 months
期刊介绍: Hydrogeology Journal was founded in 1992 to foster understanding of hydrogeology; to describe worldwide progress in hydrogeology; and to provide an accessible forum for scientists, researchers, engineers, and practitioners in developing and industrialized countries. Since then, the journal has earned a large worldwide readership. Its peer-reviewed research articles integrate subsurface hydrology and geology with supporting disciplines: geochemistry, geophysics, geomorphology, geobiology, surface-water hydrology, tectonics, numerical modeling, economics, and sociology.
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