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The Drinking Water Contamination Crisis in Flint: Modeling Temporal Trends of Lead Level Since Returning to Detroit Water System

机译:火石中的饮用水污染危机:模拟自返回底特律水系统以来铅水平的时间趋势

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摘要

Since Flint returned to its pre-crisis source of drinking water close to 25,000 water samples have been collected and tested for lead and copper in more than 10,000 residences. This paper presents the first analysis and time trend modeling of lead data, providing new insights about the impact of this intervention. The analysis started with geocoding all water lead levels (WLL) measured during an 11-month period following the return to the Detroit water supply. Each data was allocated to the corresponding tax parcel unit and linked to secondary datasets, such as the composition of service lines, year built, or census tract poverty level. Only data collected on residential parcels within the City limits were used in the analysis. One key feature of Flint data is their collection through two different sampling initiatives: (i) voluntary or homeowner-driven sampling whereby concerned citizens decided to acquire a testing kit and conduct sampling on their own (non-sentinel sites), and (ii) State-controlled sampling where data were collected bi-weekly at selected sites after training of residents by technical teams (sentinel sites). Temporal trends modeled from these two datasets were found to be statistically different with fewer sentinel data exceeding WLL thresholds ranging from 10 to 50 µg/L. Even after adjusting for housing characteristics the odds ratio (OR) of measuring WLL above 15 µg/L at non-sentinel sites is significantly greater than 1 (OR=1.480) and it increases with the threshold (OR= 2.055 for 50 µg/L). Joinpoint regression showed that the city-wide percentage of WLL data above 15 µg/L displayed four successive trends since the return to Detroit Water System. Despite the recent improvement in water quality, the culprit for differences between sampling programs needs to be identified as it impacts exposure assessment and might influence whether there is compliance or not with the Lead and Copper Rule.
机译:自从弗林特(Flint)返回危机前的饮用水源以来,已经收集了近25,000份水样,并对10,000多个住宅中的铅和铜进行了测试。本文介绍了潜在客户数据的首次分析和时间趋势建模,从而提供了有关此干预措施影响的新见解。该分析从对底特律供水之后的11个月内测得的所有水铅含量(WLL)进行地理编码开始。每个数据都分配给相应的税收单位,并链接到辅助数据集,例如服务项目的组成,建立年份或人口普查地区的贫困水平。分析中仅使用在城市范围内的住宅地块收集的数据。弗林特数据的一个主要特征是通过两种不同的采样方法收集数据:(i)自愿或房主驱动的采样,相关公民决定购买测试工具包并自行(非哨兵站点)进行采样;以及(ii)由国家控制的抽样,在经过技术团队(前哨站点)的居民培训之后,每两周在选定的站点上收集一次数据。发现从这两个数据集建模的时间趋势在统计上是不同的,超过WLL阈值(10至50 µg / L)的前哨数据较少。即使在调整了外壳特性之后,在非前哨站点测量WLL高于15 µg / L的比值比(OR)仍显着大于1(OR = 1.480),并且随着阈值的增加而增加(对于50 µg / L而言,OR = 2.055 )。 Joinpoint回归显示,自返回底特律水系统以来,全市WLL数据高于15 µg / L的百分比显示出四个连续趋势。尽管最近水质有所改善,但仍需确定造成采样程序差异的罪魁祸首,因为这会影响暴露评估,并可能影响是否符合《铅和铜规则》。

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