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

该博士后研究奖学金（PRF）旨在开发一种系统，用于使用机器学习算法集成大量数据，从而为理解城市大气中的挥发性有机化合物（VOCs）提供新的见解。这项工作的结果有望帮助监管机构估计大气中非传统挥发性有机化合物来源的排放量，并提高排放清单的总体准确性。本研究的目标主要集中在：(1)从综合测量中对排放的（初级）和化学形成的（次生）VOCs进行分类；(2)调查主要挥发性有机化合物的本地（车辆、室内、工业、垃圾填埋场等）和区域（野火、海洋等）来源；(3)识别特定VOC排放的动态和空间热点；(4)了解一次挥发性有机化合物与其二次挥发性有机化合物产品之间的隐式和非线性关系；(5)环境因素对初级VOC降解和次生VOC形成的影响。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

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.