Characterizing Urban- and Finer-Scale Spatial Variability for Select VOC Superfund Compounds

表征选定 VOC Superfund 化合物的城市和更精细尺度的空间变化

• 批准号: 9260447
• 负责人: Jay Robert Turner
• 金额: $ 22.4万
• 依托单位: UNIVERSITY OF LOUISVILLE
• 依托单位国家: 美国
• 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/9260447
• 关键词: Air; Automobile Driving; Benzene; Categories; Complex; Coupled; Data; Data Analyses; Data Quality; Development; Disease; Disease Progression; Ecology; Environment; Environmental Engineering technology; Environmental Exposure; Equipment and supply inventories; Etiology; Exhibits; Exposure to; Future; Gases; Geography; Goals; Green space; Health; Heart; Housing; Human; Industrialization; Location; Measurement; Modeling; Monitor; Neighborhoods; Nitrogen Dioxide; Participant; Particulate Matter; Pattern; Proxy; Research Project Grants; Resolution; Route; Sampling; Scheme; Seasons; Site; Small-Area Variations; Source; Superfund; Testing; Time; Variant; Work; density; design; design and construction; field study; insight; land use; metropolitan; miniaturize; mobile computing; model building; novel; pollutant; portability; remediation; sample collection; spatial relationship; study population; superfund chemical; tool; urban area; urinary; volatile organic compound

SUMMARY – Project 4 Hazardous volatile organic compounds (VOC) have adverse impacts on human health. These compounds likely exhibit high spatial variability in urban areas because of the numerous emission sources (e.g. industrial, commercial, residential, traffic) and complex dispersion patterns. Thus, tools are needed to characterize the small-area variation of intra-urban VOC concentrations. Land use regression (LUR) modeling is a powerful tool for assessing spatial variability. It relies upon ambient measurements at a large number of sites and has been extensively used for pollutants such as nitrogen dioxide and particulate matter. However, relatively few studies have built LUR models for VOCs and in most cases the focus was traffic– related emissions of benzene and other compounds emitted by vehicles. Mobile platform measurements have recently been used to collect air quality data for LUR model-building. However, mobile monitoring of VOCs has not been used in LUR modeling because of measurement challenges. This project will develop a portable VOC monitor suitable for mobile platform measurements. Field studies will be conducted at urban- and neighborhood scales and the VOC data will be used for LUR model-building. LUR results will be used by another Center project to evaluate relationships between ambient VOCs and cardiometabolic disease. LUR results will also be used to examine relationships between VOC air quality and proximity to green space which might be an effective VOC remediation strategy. New tools will be developed to use mobile platform measurements to identify the location and strength of emission sources. This project is closely coupled to the Center’s primary objective to examine cardiometabolic effects of exposure to VOC Superfund chemicals. It will also have broader impacts on air quality monitoring and exposure assessment.

摘要-项目4