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中文摘要
翻译
风险与地理空间科学核心(RGSC)摘要 德克萨斯农工大学超级基金研究中心正在调查环境影响 从源头到结果的整个过程中与紧急情况有关的污染事件,包括暴露、人类 对健康的危害,以及减少污染和毒性。为了实现德州并购超级基金 研究中心的最终目标是在环境紧急情况下改善决策,该中心的 项目和核心需要使他们的调查结果能够被急救人员、受影响的社区以及 参与现场管理和清理的政府机构。因此,整个中心将由 风险和地理空间科学核心(RGSC),具有合成、制图和可视化方面的专业知识 相关科学数据和结论,供参与风险管理决策的人员使用。这个 风险和地理空间科学核心的总体目标是为该中心提供数据和服务 表征人类健康风险和环境混合物的地理分布 灾害,从而支持项目结论在以下方面的凝聚力、相关性和执行 环境决策。我们的工作将促进中心项目之间的互动,同时也作为 通向灾害研究响应、社区参与以及管理和研究的桥梁 翻译核心。提供的主要服务将包括人类健康风险评估(目标1)、地理空间数据 和分析(目标2),以及在灾害研究规划、抽样和解释方面的应用(目标3)。在AIM 1、人类健康风险模型将用于对人类人口中的危险或风险进行推断 以实验或观测数据为基础的,作为科学数据和 环境政策决策。在超级基金的背景下,使用人类健康风险模型来论证 暴露标准或环境补救决定既保护人类健康又减少毒性 或者冒险。在目标2中,将利用地理空间数据和分析来处理复杂的时空动态 与环境紧急情况有关的污染,提供必要的地理背景和 可视化为决策提供信息。在目标3中,核心将提供风险和地理空间专门知识,以 支持快速动员和抽样,以及及时和与决策有关的解释,由 灾难研究响应核心。作为一个整体,这些服务将通过以下方式支持中心的总体目标 帮助解释研究项目的结果,并将其转化为各种类型的信息 利益攸关方,从社区到联邦和州决策者,评估 在环境紧急情况下暴露污染物,并加强规划、应急反应,如 以及与环境灾害有关的长期恢复和补救工作。
英文摘要
Risk and Geospatial Sciences Core (RGSC) ABSTRACT The Texas A&M University Superfund Research Center is investigating the impacts of environmental emergency-related contamination events across the source-to-outcome continuum, including exposure, human health hazard, and mitigation of contamination and toxicity. In order to achieve the Texas A&M Superfund Research Center’s ultimate goal of improving decision-making after an environmental emergency, the Center’s Projects and Cores will need to make their findings interpretable to first responders, impacted communities, and government bodies involved in site management and cleanup. Therefore, the entire Center will be supported by a Risk and Geospatial Sciences Core (RGSC), which has expertise in synthesizing, mapping, and visualizing relevant scientific data and conclusions for use by those involved in decisions related to risk management. The overall objective of the Risk and Geospatial Sciences Core is to provide the Center with data and services for characterizing human health risks and the geographic distribution from environmental mixtures created during disasters, thereby supporting the cohesion, relevance, and implementation of project findings in the context of environmental decision-making. Our work will facilitate interaction among Center projects, while also serving as a bridge to the Disaster Research Response, Community Engagement, and Administration and Research Translation Cores. Key services provided will include human health risk assessment (Aim 1), geospatial data and analysis (Aim 2), and application to disaster research planning, sampling, and interpretation (Aim 3). In Aim 1, human health risk modeling will be used to make inferences about hazard or risk in the human population based on experimental or observational data, serving as an essential bridge between scientific data and environmental policy decisions. In the context of Superfund, human health risk modeling is used to demonstrate that exposure standards or environmental remediation decisions both protect human health and reduce toxicity or risk. In Aim 2, geospatial data and analysis will be utilized to address the complex spatiotemporal dynamics of environmental emergency-related contamination, providing essential geographical contextualization and visualization to inform decision-making. In Aim 3, the Core will provide both risk and geospatial expertise to support rapid mobilization and sampling, as well as timely and decision-relevant interpretation, coordinated by the Disaster Research Response Core. As a whole, these services will support the Center’s overall goal by helping to interpret and translate research project findings into information that can be used by varied stakeholders, from communities to federal and state decision-makers, to assess the human health impact of contaminant exposures after an environmental emergency, and enhance the planning, emergency response, as well as long-term recovery and remediation efforts related to environmental disasters.
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Risk and Geospatial Sciences Core
  • 批准号:
    10707485
  • 项目类别:
  • 资助金额:
    $12.03万
  • 财政年份:
    2022
  • 负责人:
    Weihsueh A Chiu
  • 依托单位:
Data Science Facility Core
  • 批准号:
    10617826
  • 项目类别:
  • 资助金额:
    $31.98万
  • 财政年份:
    2019
  • 负责人:
    Weihsueh A Chiu
  • 依托单位:
Data Science Facility Core
  • 批准号:
    10400883
  • 项目类别:
  • 资助金额:
    $31.93万
  • 财政年份:
    2019
  • 负责人:
    Weihsueh A Chiu
  • 依托单位:
Data Science Facility Core
  • 批准号:
    9918405
  • 项目类别:
  • 资助金额:
    $31.8万
  • 财政年份:
    --
  • 负责人:
    Weihsueh A Chiu
  • 依托单位:
海外基金