Project 4: Arsenic and Manganese Mobility: Land Use, Redox Shifts

项目 4：砷和锰的流动性：土地利用、氧化还原变化

基本信息

批准号：
8377619
负责人：
CHARLES F HARVEY
金额：
$ 24.77万
依托单位：
HARVARD SCHOOL OF PUBLIC HEALTH
依托单位国家：
美国
项目类别：
财政年份：
资助国家：
美国
起止时间：
至
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/8377619
关键词：
Address Adopted Affect Architecture Arsenic Bangladesh Beds Binding Sites Biological Markers Biological Monitoring Catchment Area Characteristics Chemical Evolution Chemicals Chemistry Communities Data Deposition Effectiveness Evolution Exposure to Floods Flushing Food Foreign Aid Future Geology Hour Household Human Human Activities Imaging Techniques Individual Intervention Irrigation Lead Location Manganese Measures Metal exposure Metals Methods Modeling Monitor Oxidation-Reduction Pattern Physics Population Process Public Health Pump Research Residual state Resources Rice Rivers Sampling Seasons Silicon Dioxide Site Solubility Source Superfund Surface System Testing Thick Time Water Work World Health Organization cohort design drinking water effective intervention experience falls improved insight land use models and simulation neurodevelopment predictive modeling research study residence response sensor solute toxic metal

项目摘要

Over the last decade we have gained a detailed understanding of the static geochemical characteristics of arsenic and manganese contaminated aquifers and have characterized the rapid response of sediment to artificial chemical perturbations in incubation experiments. However, remarkably little is known about the basic aspects of hydrogeology that are vital for understanding the evolution of groundwater chemistry along flow paths that are contaminated by these metals. We do not know how the solute fluxes that drive manganese and arsenic mobility enter the aquifer, what patterns groundwater flow follows, or how solutes mix across different flow paths. Little is known about deeper groundwater flow, and basic issues such as the significance of regional flow and groundwater pumping are still controversial. In the proposed research, we will combine networks of sensors and geophysical imaging techniques with three-dimensional groundwater flow and transport models to characterized changing subsurface conditions. We will observe how subsurface conditions may be altered by installation of community supply wells, the most common approach to providing safe water, and we will develop predictive models for future shifts in groundwater chemistry. Our results will provide insight into the processes that cause metal mobilization from sediments, and will enable better management of contaminated groundwater.

在过去的十年中，我们对砷和锰受污染的含水层的静态地球化学特征有了详细的了解，并表征了沉积物对人工化学扰动在孵化实验中的快速反应。然而，对于水文地质学的基本方面而言，这对于理解被这些金属污染的流动路径的进化至关重要，这对水文地质的基本方面知之甚少。我们不知道驱动锰和砷迁移率的溶质通量如何进入含水层，地下水流动的哪些模式或溶质如何在不同的流动路径上混合。关于更深的地下水流量知之甚少，基本问题，例如区域流量和地下水抽水的重要性仍然存在争议。在拟议的研究中，我们将将传感器和地球物理成像技术网络与三维的地下水流量和运输模型相结合，与表征变化的地下条件相结合。我们将观察到如何通过安装社区供应井的安装来改变地下条件，这是提供安全水的最常见方法，我们将开发预测性模型，以实现地下水化学的未来变化。我们的结果将洞悉导致沉积物金属动员的过程，并能够更好地管理受污染的地下水。