Presidential Faculty Fellow Award: Development of a Computer Tomographic/Remote Sensing Method for Characterizing the Concentration and Dispersion of Air Pollutants

总统教职研究员奖：开发用于表征空气污染物浓度和扩散的计算机断层扫描/遥感方法

• 批准号: 9453433
• 负责人: Lori Todd
• 金额: $ 50万
• 依托单位: University of North Carolina at Chapel Hill
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1994
• 资助国家: 美国
• 起止时间: 1994-09-15 至 2000-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9453433&HistoricalAwards=false
• 关键词: Presidential; Faculty; Fellow; Award; Development

9353433 Todd The objective of this research is to develop a new method for determination and visualization of the concentration and flow of gases and vapors in air. The method is based on coupling the chemical detection technology of optical remote sensing with the mapping capabilities of computed tomography. Chemical concentrations determined by using a network of infrared beams projected through air at many angles are coupled with real-time measurements obtained through use of an optical remote sensing system to obtain path-integrated concentrations of chemicals over the entire path of the beam. The initial phases of this research involve modification and evaluation of tomographic reconstruction algorithms and image processing techniques for reconstructing chemical concentrations in air. Application-specific measures developed to evaluate algorithm performance and image quality will be followed by simulation studies to determine conditions for laboratory validation of the method. Results of this research are expected to be applied to identification and characterization of the motion and dispersion of air pollutants after their emission from sources. This is the initial increment of an award to provide support for this Presidential Faculty Fellow who was selected through evaluation procedures conducted by the National Science Foundation and based on criteria contained in NSF 93-114 which contains the nomination guidelines. ***

Todd：这项研究的目的是开发一种新的方法来测定和可视化空气中气体和蒸气的浓度和流量。该方法将光学遥感的化学检测技术与计算机断层成像的制图能力相结合。化学物质浓度的测定方法是利用红外光束以多角度投射穿过空气的网络，再加上利用光学遥感系统获得的实时测量结果，从而获得整个光束路径上的化学物质的路径集成浓度。这项研究的初始阶段包括修改和评估用于重建空气中化学物质浓度的层析重建算法和图像处理技术。开发用于评估算法性能和图像质量的特定应用措施之后，将进行模拟研究，以确定实验室验证该方法的条件。该研究结果有望应用于识别和表征空气污染物从污染源排放后的运动和扩散。这是为这位总统研究员提供支持的初始奖励，他是通过国家科学基金会进行的评估程序选出的，并根据包含提名指南的NSF 93-114中的标准选出的。* * *