AGS-PRF: Big Data Analytics: Elucidation of Volatile Organic Compounds in Urban Atmosphere

AGS-PRF：大数据分析：城市大气中挥发性有机化合物的解析

• 批准号: 2114658
• 负责人: Zixu Zhao
• 金额: $ 19万
• 依托单位: Zhao, Zixu
• 依托单位国家: 美国
• 项目类别: Fellowship Award
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-12-01 至 2023-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2114658&HistoricalAwards=false
• 关键词: AGS; PRF; Big; Data; Analytics

This Postdoctoral Research Fellowship (PRF) is directed towards the development of a system for integrating large amounts of data using machine learning algorithms to provide new insights into the understanding of volatile organic compounds (VOCs) in the urban atmosphere. The results of this effort are expected to help regulatory agencies estimate emissions from non-traditional sources of VOC in the atmosphere and improve the overall accuracy of emission inventories.The objectives of this research focus on: (1) categorizing emitted (primary) and chemically formed (secondary) VOCs from comprehensive measurements; (2) investigating local (vehicles, indoor, industry, landfill, etc.) and regional (wildfire, ocean, etc.) origins of primary VOCs; (3) identifying the dynamic and spatial hotspots of specific VOC emissions; (4) understanding the implicit and nonlinear relationships between primary VOCs and their secondary VOC products; and (5) the influence of environmental factors on primary VOC degradation and secondary VOC formation.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

这一博士后研究奖学金(PRF)旨在开发一个使用机器学习算法整合大量数据的系统，以提供对城市大气中挥发性有机化合物(VOCs)的理解的新见解。这项工作的结果有望帮助监管机构估计大气中VOC的非传统来源的排放量，并提高排放清单的整体准确性。本研究的目标集中在：(1)从综合测量中对排放的(一次)和化学形成的(二次)VOCs进行分类；(2)调查当地(车辆、室内、工业、垃圾填埋场等)。和区域性(野火、海洋等)该奖项包括：(1)确定初级VOC的来源；(3)确定特定VOC排放的动态和空间热点；(4)了解初级VOC及其次级VOC产品之间的隐含和非线性关系；(5)环境因素对初级VOC降解和次级VOC形成的影响。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。