Spatial patterns of metals and metal mixtures in drinking water
饮用水中金属和金属混合物的空间格局
基本信息
- 批准号:10559491
- 负责人:
- 金额:$ 16.75万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2020
- 资助国家:美国
- 起止时间:2020-02-21 至 2025-01-31
- 项目状态:未结题
- 来源:
- 关键词:5 year oldAddressAffectArchivesArsenicBiomedical ResearchBrainCadmiumChildChromiumCognitiveCognitive agingColoradoConsumptionCountryDataDatabasesDevelopmentDiagnosisEffectivenessElderlyElementsExposure toGeographic LocationsGeological SurveyGoalsGuidelinesHealthHeavy MetalsHybridsImmunosuppressionIn VitroIndividualInformation SystemsLeadLinkLocationMalignant NeoplasmsManganeseMapsMeasurementMetal exposureMetalsMethodsModelingMunicipalitiesNurses&apos Health StudyOrganoidsOxidation-ReductionPatternPersonsPoisonPopulationPrivatizationProcessPropertyProspective cohortPublic HealthRegulationResearchResearch PriorityRiskRisk AssessmentRoleSamplingSeleniumSiteSoilSourceSuperfundSurfaceSystemTechnologyTestingTimeToxicity TestsTrace metalTrainingTreatment EffectivenessUnited StatesWaterWater PollutantsWater SupplyWomanWorkcommunity engagementcontaminated drinking watercontaminated waterdisease registrydrinking waterearly life exposureeffectiveness evaluationexposed human populationgeochemistryground waterhigh riskimprovedinnovative technologiesinsightland usemachine learning algorithmneurodevelopmentnovelremediationrisk mitigationsuperfund sitetoolwater qualitywater samplingwater treatment
项目摘要
PROJECT SUMMARY/ABSTRACT
In 2016, approximately 15 million people lived within one mile of Superfund sites, including approximately 5% of
all children in the United States (US) under 5 years of age. Lead (Pb), arsenic (As), and cadmium (Cd) are
among the top ten contaminants on the Agency for Toxic Substances and Disease Registry’s 2017 Substances
Priorities List for Superfund sites. These and other metals/metalloids can contaminate surface waters and
groundwater systems, leading to elevated exposures through drinking water. Across the US, tens of millions of
individuals consume drinking water with concentrations of heavy metals in excess of regulatory guidelines.
Exposures to heavy metals have been associated with many negative impacts on public health, including impacts
on neurodevelopment and cognitive aging. However, the contribution of different Superfund sites to this
contamination problem remains poorly characterized on a national scale. This is important because regulations
for drinking water contaminants and risk mitigation actions are often undertaken at the federal level, but most
prior work has focused on site-specific studies. Proximity to Superfund sites may be associated with higher risk
of contamination by heavy metal mixtures in tap water. This relationship is likely more prominent in private wells
than in municipal drinking water supplies, where the finished water quality is influenced by water treatment
technologies. Across different geographic areas, there are considerable differences in municipal water treatment
technology and continuous development of innovative technologies, but little information is available on how this
affects spatial patterns of metal concentrations in tap water. In Aim 1, we will characterize the role of Superfund
sites across the country for heavy metals in private wells by developing novel hybrid mechanistic-empirical
models for heavy metals across the US using a large database of measurements in groundwater from the USGS,
locations of point sources such as Superfund sites, and hydrogeological features/predictors that affect the fate
and transport of trace metals. For Aim 2, we will use new measurements and models to identify the spatial co-
occurrence of different metal mixtures relevant to human exposures from drinking water. This analysis will be
used to identify the composition of metal mixtures for in vitro toxicity tests on brain organoids in Project 2. Aim 3
will leverage >28 million measurements of heavy metals from municipal water supplies to field-evaluate the role
of different treatment technologies. This will provide insights into the effectiveness of treatment technologies and
can help inform Project 4 as well as Superfund site managers responsible for remediation. This project provides
a link between biomedical research in the MEMCARE Center, human exposures, and potential benefits of
remediation technology being developed in Project 4.
项目概要/摘要
2016 年,大约有 1500 万人居住在超级基金站点一英里范围内,其中约 5%
美国 (US) 的所有 5 岁以下儿童均含有铅 (Pb)、砷 (As) 和镉 (Cd)。
被列入有毒物质和疾病登记局 2017 年物质排名前十位的污染物之一
超级基金地点的优先事项列表 这些和其他金属/类金属可能会污染地表水和
地下水系统,导致美国各地数以千万计的人通过饮用水接触到的污染物增加。
人们饮用的饮用水重金属浓度超过了监管标准。
接触重金属会对公共健康产生许多负面影响,包括影响
然而,不同超级基金网站对此的贡献。
污染问题在全国范围内仍不明确,这一点很重要,因为法规。
针对饮用水污染物和风险的缓解行动通常是在联邦一级采取的,但大多数
之前的工作主要集中在特定地点的研究上,靠近超级基金地点可能与较高的风险有关。
这种关系在私人水井中可能更为突出。
与市政饮用水供应相比,最终水质受到水处理的影响
不同地理区域的市政水处理技术存在很大差异。
技术和创新技术的不断发展,但关于如何实现这一点的信息很少
影响自来水中金属浓度的空间模式 在目标 1 中,我们将描述超级基金的作用。
通过开发新型混合机械-经验方法,在全国范围内对私人井中的重金属进行检测
使用美国地质勘探局的地下水测量大型数据库建立美国各地的重金属模型,
超级基金站点等点源的位置以及影响命运的水文地质特征/预测因素
对于目标 2,我们将使用新的测量和模型来识别空间协同。
该分析将涉及与人类从饮用水中暴露相关的不同金属混合物的出现。
用于鉴定项目 2 中脑类器官体外毒性试验的金属混合物的成分。目标 3
将利用市政供水中超过 2800 万次的重金属测量值来现场评估其作用
这将有助于深入了解治疗技术的有效性和
可以帮助通知项目 4 以及负责修复的超级基金现场经理。
MEMCARE 中心的生物医学研究、人类暴露以及潜在益处之间的联系
项目4正在开发修复技术。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Elsie Mareca Sunderland其他文献
Elsie Mareca Sunderland的其他文献
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{{ truncateString('Elsie Mareca Sunderland', 18)}}的其他基金
Spatial patterns of metals and metal mixtures in drinking water
饮用水中金属和金属混合物的空间格局
- 批准号:
10332731 - 财政年份:2020
- 资助金额:
$ 16.75万 - 项目类别:
Spatial patterns of metals and metal mixtures in drinking water
饮用水中金属和金属混合物的空间格局
- 批准号:
10112927 - 财政年份:2020
- 资助金额:
$ 16.75万 - 项目类别:
Assessing the Contribution of Polyfluoroalkyl Precursors to Diverse PFAS Exposures near Contaminated Sites
评估多氟烷基前体对污染场地附近各种 PFAS 暴露的影响
- 批准号:
10352510 - 财政年份:2017
- 资助金额:
$ 16.75万 - 项目类别:
Assessing the Contribution of Polyfluoroalkyl Precursors to Diverse PFAS Exposures near Contaminated Sites
评估多氟烷基前体对污染场地附近各种 PFAS 暴露的影响
- 批准号:
10704007 - 财政年份:2017
- 资助金额:
$ 16.75万 - 项目类别:
Sources, Transport, Exposure and Effects of PFASs (STEEP)
PFAS 的来源、传输、暴露和影响 (STEEP)
- 批准号:
9904670 - 财政年份:
- 资助金额:
$ 16.75万 - 项目类别:
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