KC Donnelly Externship - LSU SRP MATHIEU: AERMOD spatial predictive model for airborne exposure to PCBs

KC Donnelly Externship - LSU SRP MATHIEU：空气中 PCB 暴露的 AERMOD 空间预测模型

• 批准号: 10580929
• 负责人: Stephania A Cormier
• 金额: $ 1.26万
• 依托单位: LOUISIANA STATE UNIV A&M COL BATON ROUGE
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-06-01 至 2023-01-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10580929
• 关键词: Air Pollutants; Air Pollution; Collaborations; Computer software; Exposure to; Goals; Hazardous Waste; Hybrids; Iowa; Journals; Learning; Louisiana; Measurement; Modeling; Particulate Matter; Plants; Pollution; Polychlorinated Biphenyls; Program Research Project Grants; Publications; Research; Running; Rural; Site; Source; Statistical Models; Superfund; Surface; Training; Universities; Visit; career; community engagement; doctoral student; experience; externship; improved; insight; interest; pollutant; predictive modeling; programs; quality assurance; skills

Project Description (Abstract) AERMOD is the most widely applied U.S. EPA regulatory model to predict the dispersion of airborne pollutants from a point source. The Iowa Superfund Research Program (ISRP) has extensive experience running AERMOD, the primary model used by ISRP to predict airborne PCB congener concentrations. The applicant’s research at the Louisiana State University Superfund Research Program (LSU SRP) consists of performing spatial and statistical modeling of particulate matter components to understand exposure to emissions from an open burn/open detonation hazardous waste thermal treatment facility in rural Colfax, LA. As part of her dissertation, Ms. Martine Mathieu will develop a hybrid exposure assessment model integrating surface-level measurements with the AERMOD dispersion model to provide a robust prediction of concentrations as surrogates for estimated exposures. Drawing on ISRP’s experience with AERMOD, the overarching objective of the Externship is to learn to predict air pollutant exposure using the AERMOD atmospheric dispersion model. This externship will enable the applicant to learn about requirements for model inputs, construction of AERMOD inputs, implementation of the model, and quality assurance of the results. With current research interests in hybrid approaches to spatial air pollution models, the new skills gained through the Externship will add value to Ms. Mathieu’s research career and professional goals. Furthermore, Ms. Mathieu’s experience through the KC Donnelly Externship will enhance long-term collaboration between the LSU SRP and the ISRP through community engagement experiences and further research collaboration centered around modeling, including journal publications, that will provide insights for similar studies and comparable sites.

项目描述（摘要） AERMOD 是美国 EPA 预测污染物扩散的最广泛应用的监管模型 爱荷华州超级基金研究计划 (ISRP) 已研究了来自点源的空气污染物。 运行 AERMOD 的丰富经验，AERMOD 是 ISRP 用于预测机载的主要模型 PCB同系物浓度。申请人在路易斯安那州立大学的研究。 超级基金研究计划 (LSU SRP) 包括执行空间和统计建模 颗粒物成分，以了解暴露于露天燃烧/露天排放的情况 位于路易斯安那州科尔法克斯乡村的爆炸危险废物热处理设施。 Martine Mathieu 女士将在论文中开发一种混合暴露评估模型，将 使用 AERMOD 色散模型进行表面测量，以提供可靠的预测 借鉴 ISRP 的经验来替代估计暴露量。 AERMOD，实习的首要目标是学习预测空气污染物 使用 AERMOD 大气扩散模型进行曝光该实习将使 申请人了解模型输入的要求、AERMOD 输入的构建、 模型的实施以及结果的质量保证与当前的研究兴趣。 在空间空气污染模型的混合方法中，通过实习获得的新技能 将为 Mathieu 女士的研究生涯和职业目标增加价值。 Mathieu 在 KC Donnelly 实习期间获得的经验将加强长期合作 LSU SRP 和 ISRP 之间通过社区参与经验和进一步 以建模为中心的研究合作，包括期刊出版物，这将 为类似研究和可比网站提供见解。