In Europe most environmental based water quality research has focused on both nutrient and microbial contamination which can arise from agricultural processes and inadequate wastewater treatment. Recent work in Ireland has linked the presence of arsenic in groundwater at elevated concentrations at national and subnational scales with bedrock lithology serving as a strong predictor variable. Groundwater data was collected as part of an environmental impact assessment for a road construction project and this resulting groundwater geochemistry dataset was used in this present study to assess the geochemical controls of arsenic in natural waters in addition to biological and nutrient contamination. Physiochemical parameters, trace elements, nutrients, organics, and microbiological parameters were collected for every quarter for four years (2004–2008) in 67 wells. Due to differing sampling procedures and limitations in the data, only one quarter (November 2005) was used to understand groundwater geochemistry in greater detail. Multivariate statistical techniques were used to overcome the presence of non-detect data. This is an important consideration as while methods exist for chemical data, methods incorporating biological data are limited. Elevated levels of nitrate in groundwater may arise from the runoff of septic tanks and/or agricultural practices in the area. Both pesticides and polycyclic aromatic hydrocarbons were not detected in any wells signifying no anthropogenic contamination inputs. However, fuel products such as methyl tert-butyl ether were detected and potentially illustrate point source contamination, these were detected in only one well. Geochemical data indicate that elevated arsenic concentrations are present within alkali-oxic groundwaters through the desorption from Fe and Mn oxyhydroxides, i.e. alkali desorption. This study examines of the geochemistry of arsenic in groundwater in Ireland at a local scale. In addition, the multivariate methods used in this study were able to fully integrate both chemical and biological censored data, which may be applied in other regions with similar data.

在欧洲，大多数基于环境的水质研究都集中在营养和微生物污染上，这些污染可能源于农业过程和废水处理不充分。爱尔兰最近的工作将地下水中砷的存在与国家和国家以下各级的浓度升高联系起来，基岩岩性是一个重要的预测变量。道路建设项目的环境影响评估中收集了地下水数据，该地下水地球化学数据集在本研究中用于评估自然水中砷的地球化学控制以及生物和营养物污染。理化参数，微量元素，营养素，有机物，连续四年（2004-2008年）在67口井中每季度收集一次微生物学参数。由于不同的采样程序和数据限制，仅使用四分之一（2005年11月）来更详细地了解地下水地球化学。多变量统计技术被用来克服非检测数据的存在。这是一个重要的考虑因素，因为尽管存在用于化学数据的方法，但结合生物学数据的方法是有限的。该地区化粪池的径流和/或农业生产活动可能导致地下水中硝酸盐含量升高。在任何井中均未检测到农药和多环芳烃，这表明没有人为污染输入。然而，检测到了诸如甲基叔丁基醚之类的燃料产品，并可能说明了点源污染，这些污染物仅在一个井中被检测到。地球化学数据表明，通过从铁和锰的氢氧化物中解吸，即碱解吸，碱-氧地下水中存在较高的砷浓度。这项研究在地方规模上研究了爱尔兰地下水中砷的地球化学。此外，本研究中使用的多元方法能够完全整合化学和生物学检查数据，这些数据可能会在其他具有相似数据的地区使用。这项研究在地方规模上研究了爱尔兰地下水中砷的地球化学。此外，本研究中使用的多元方法能够完全整合化学和生物学检查数据，这些数据可能会在其他具有相似数据的地区使用。这项研究在地方范围内研究了爱尔兰地下水中砷的地球化学。此外，本研究中使用的多元方法能够完全整合化学和生物学检查数据，这些数据可能会在其他具有相似数据的地区使用。