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制定并优化系统方法以识别主要供水管线:一个社区的成功经验。

Development and optimization of a systematic approach to identifying lead service lines: One community's success.

机构信息

MSK Engineers, PE, MSK Engineers 150 Depot Street, Bennington, VT, United States.

MSK Engineers, PE, MSK Engineers 150 Depot Street, Bennington, VT, United States.

出版信息

Water Res. 2023 Nov 1;246:120725. doi: 10.1016/j.watres.2023.120725. Epub 2023 Oct 10.

Abstract

Lead service lines (LSLs), when present, are the largest source of lead in drinking water, and their removal is necessary to reduce public exposure to lead from drinking water. Unfortunately, the composition of many service lines (SLs) is uncertain. The town of Bennington, Vermont, for example, has unreliable SL records, making it challenging to build an inventory and conduct an LSL replacement program. In 2017, Bennington commenced a project to identify SL materials and replace all LSLs. 159 control homes, consisting of 99 LSL and 60 non-LSL sites, were chosen for record reviews, visual SL observations, fully flushed (FF) and sequential profile water sampling, and test excavations to evaluate method accuracies. Of the 159 control homes, records for 90 % of the 99 known LSL homes were accurate. Whereas 3 % of the 60 non-lead SL homes' records accurately identified SL material. Fully flushed and sequential profile samples (SPSs) were 73 % and 95 % accurate for identifying LSLs and 95 % and 83 % accurate for identifying non-LSLs, respectively. Results were 100 % accurate when visual observations, FF samples, and test excavation were used in a stepwise approach. A stepwise approach consisting of visual SL observations, FF samples, and SPSs achieved a 98 % accuracy at identifying LSLs and a 67 % cost reduction compared to performing test excavations at each home. Findings from this control group study are critical for state, tribal, and local officials to inform their decisions about the selected approach to identify unknown SLs.

摘要

导水管(LSL)是饮用水中铅的最大来源,去除导水管是减少公众接触饮用水中铅的必要措施。不幸的是,许多导水管(SL)的组成是不确定的。例如,佛蒙特州本宁顿镇的 SL 记录不可靠,这使得建立库存和进行 LSL 更换计划变得具有挑战性。2017 年,本宁顿开始了一个项目,以确定 SL 材料并更换所有 LSL。选择了 159 个控制家庭,包括 99 个 LSL 和 60 个非 LSL 地点,进行记录审查、视觉 SL 观察、完全冲洗(FF)和顺序剖面水样采集以及测试挖掘,以评估方法的准确性。在 159 个控制家庭中,99 个已知 LSL 家庭中有 90%的记录是准确的。而 60 个非铅 SL 家庭的记录中有 3%准确识别了 SL 材料。完全冲洗和顺序剖面样品(SPS)分别有 73%和 95%的准确率可用于识别 LSL,95%和 83%的准确率可用于识别非 LSL。当采用逐步方法时,视觉观察、FF 样本和测试挖掘的结果是 100%准确的。由视觉 SL 观察、FF 样本和 SPS 组成的逐步方法在识别 LSL 方面的准确率为 98%,与在每个家庭进行测试挖掘相比,成本降低了 67%。本控制组研究的结果对于州、部落和地方官员来说至关重要,因为这些结果可以为他们提供有关识别未知 SL 方法的决策信息。

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