Prediction of Organic-Vapor Wall Deposition Using a Qualitative Structure Activity Relationship and its Application to the Secondary Organic Aerosol (SOA) Model

GSTDTAP

项目编号	1923651
	Prediction of Organic-Vapor Wall Deposition Using a Qualitative Structure Activity Relationship and its Application to the Secondary Organic Aerosol (SOA) Model
	Myoseon Jang (Principal Investigator)
主持机构	University of Florida
项目开始年	2019
	2019-08-01
项目结束日期	2022-07-31
资助机构	US-NSF
项目类别	Standard Grant
项目经费	582147(USD)
国家	美国
语种	英语
英文摘要	Environmental chambers are frequently used to investigate atmospheric chemistry in a controlled setting. This research is focused on developing a model to predict the interactions of gases and particles with the walls of an environmental chamber, and to predict what effects these interactions might have on the results of a study. For example, the wall effects in an environmental chamber often result in the underestimation of the formation of small particles in the chamber, an error that can be carried through to air-quality and climate models. This project is expected to ultimately improve the predictive capability for the formation of SOA in the atmosphere and improve the estimates of both the direct and indirect effects of SOA on human health and climate. The three objectives of the proposal are to: (1) Predict the gas-wall process partitioning constant of various semivolatile organic compounds (SVOCs) and their deposition rate constants using a Quantitative Structure Activity Relation (QSAR) approach; (2) Integrate the gas-wall process model parameters with the model that predicts secondary organic aerosol (SOA) formation; and (3) Evaluate the potential for SOA formation produced via multiphase reactions of various hydrocarbons using the amended model including the bias due to the gas-wall process. A model that uses an explicit gas mechanism to predict SOA formation from multiphase reactions, will be amended and applied to investigate the impact of gas-wall processes on the formation of SOA. 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.
文献类型	项目
条目标识符	http://119.78.100.173/C666/handle/2XK7JSWQ/213885
专题	环境与发展全球科技态势
推荐引用方式 GB/T 7714	Myoseon Jang .Prediction of Organic-Vapor Wall Deposition Using a Qualitative Structure Activity Relationship and its Application to the Secondary Organic Aerosol (SOA) Model.2019.