Abstract Multivariate Statistical techniques have been widely applied in hydrogeology, geochemistry, and hydrology to identify commonalities or differences between large data sets. In this article, Hierarchical Cluster Analysis was performed on recent hydrogeochemical data (27 wells and 8 inland lakes) obtained at Wadi El-Natrun in April 2013 and April 2015. The purpose of this exercise was to understand the variability and similarities between ground and surface water quality in a less complex way. As well, to identify key variables in these environmental settings that could help to monitor the water quality of these resources. An additional purpose has been to shed some light, from a chemistry point of view, on the witnessed ‘salinization’ of these resources within this area. Overall, HCA provided an indication that both resources received had a potential water recharge during 2015 relative to 2013 that was supported by other regional reporting. Rearrangement of some surface water variables within clusters relative to groundwater was indicative of topsoil mineralization as well as the change in water levels due to recharge and/or evaporation.

中文翻译：

---

使用分层聚类分析解释水文地球化学数据：埃及 Wadi El-Natrun 的案例研究

摘要 多元统计技术已广泛应用于水文地质学、地球化学和水文学领域，以识别大数据集之间的共性或差异。在本文中，对 2013 年 4 月和 2015 年 4 月在 Wadi El-Natrun 获得的近期水文地球化学数据（27 口井和 8 个内陆湖）进行了分层聚类分析。本练习的目的是了解地面和地表之间的变异性和相似性以不太复杂的方式水质。同样，确定这些环境设置中的关键变量，可以帮助监测这些资源的水质。另一个目的是从化学的角度阐明该地区这些资源的“盐碱化”。全面的，HCA 表明，与 2013 年相比，2015 年收到的两种资源都有潜在的水补给，这得到了其他区域报告的支持。相对于地下水，簇内一些地表水变量的重新排列表明表层土壤矿化以及由于补给和/或蒸发引起的水位变化。