U.S. Geological Survey, Columbia, SC, USA.
U.S. Geological Survey, Iowa City, IA, USA.
Sci Total Environ. 2023 Apr 10;868:161672. doi: 10.1016/j.scitotenv.2023.161672. Epub 2023 Jan 16.
In the United States and globally, contaminant exposure in unregulated private-well point-of-use tapwater (TW) is a recognized public-health data gap and an obstacle to both risk-management and homeowner decision making. To help address the lack of data on broad contaminant exposures in private-well TW from hydrologically-vulnerable (alluvial, karst) aquifers in agriculturally-intensive landscapes, samples were collected in 2018-2019 from 47 northeast Iowa farms and analyzed for 35 inorganics, 437 unique organics, 5 in vitro bioassays, and 11 microbial assays. Twenty-six inorganics and 51 organics, dominated by pesticides and related transformation products (35 herbicide-, 5 insecticide-, and 2 fungicide-related), were observed in TW. Heterotrophic bacteria detections were near ubiquitous (94 % of the samples), with detection of total coliform bacteria in 28 % of the samples and growth on at least one putative-pathogen selective media across all TW samples. Health-based hazard index screening levels were exceeded frequently in private-well TW and attributed primarily to inorganics (nitrate, uranium). Results support incorporation of residential treatment systems to protect against contaminant exposure and the need for increased monitoring of rural private-well homes. Continued assessment of unmonitored and unregulated private-supply TW is needed to model contaminant exposures and human-health risks.
在美国和全球范围内,不受监管的私人水井点用水(TW)中的污染物暴露是一个公认的公共卫生数据空白,也是风险管理和房主决策的障碍。为了帮助解决农业密集型景观中水文脆弱性(冲积层、喀斯特)含水层中私人水井 TW 中广泛污染物暴露的数据缺乏问题,2018-2019 年从爱荷华州东北部的 47 个农场采集了样本,并对 35 种无机物、437 种独特有机物、5 种体外生物测定和 11 种微生物测定进行了分析。在 TW 中观察到 26 种无机物和 51 种有机物,主要由农药和相关转化产物(35 种除草剂、5 种杀虫剂和 2 种杀菌剂)组成。异养细菌的检测几乎无处不在(94%的样本),28%的样本中检测到总大肠菌群细菌,所有 TW 样本中至少有一种假定病原体选择性培养基上有生长。私人水井 TW 中经常超过基于健康的危害指数筛选水平,主要归因于无机物(硝酸盐、铀)。结果支持采用住宅处理系统来防止污染物暴露,并需要增加对农村私人水井家庭的监测。需要继续评估未监测和不受监管的私人供应 TW,以模拟污染物暴露和人类健康风险。