CAREER: Mechanistic Studies of Secondary Organic Aerosol Production from Biomass Burning Derived Precursors

该项目的目标是改进预测大气中二次有机气溶胶（SOA）形成的模型。 它的重点是从生物质燃烧排放形成的SOA。 该项目包括在加州大学滨江分校（UCR）的大气室中进行的实验，并建立在加州大学河滨分校全州空气污染研究中心（SAPRC）的历史专业知识和一系列聚合化学机制的基础上。 该项目的结果将有利于当地和区域监管机构（例如，加州空气资源委员会和南海岸空气质量管理区）和火灾管理团体（例如，生物质燃烧（BB）-SOA的机理理解和模型表示将通过对最近确定的和表征不佳的从BB排放的潜在SOA前体的常规和新颖的室研究、室数据的评估和使用现有方法的SOA参数化来推进;以及开发和测试一种创新的SOA模型，该模型基于广泛使用的气相化学机制SAPRC，更好地集成了气相和颗粒相化学。 本研究的具体目标是：（1）阐明生物质燃烧（BB）衍生的烃类前体物的二次有机气溶胶（SOA）形成潜力，（2）评估SOA质量形成和性质随化学条件变化的变化，（3）利用现有的两个产品（2 p）和挥发度基集（VBS）模型方法发展SOA参数化，（4）研究二次有机气溶胶（SOA）的形成机理。和（4）推进SOA形成的综合气相和颗粒相模型表示。该奖项反映了NSF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。

The goal of this project is to improve models that predict the formation of secondary organic aerosol (SOA) in the atmosphere. It is focused on SOA formed from biomass burning emissions. The project includes experiments conducted in the atmospheric chambers at the University of California, Riverside (UCR) and builds on the historical expertise and the series of aggregated chemical mechanisms produced by the Statewide Air Pollution Research Center (SAPRC) at UCR. The results of this project will be beneficial to local and regional regulatory agencies (e.g., the California Air Resources Board and the South Coast Air Quality Management District) and fire management communities (e.g., the Joint Fire Science Program).The mechanistic understanding and model representation of biomass burning (BB)-SOA will be advanced through conventional and novel chamber studies of recently identified and poorly characterized potential SOA precursors emitted from BB, the evaluation of chamber data and SOA parameterizations using existing approaches; and the development and testing of an innovative SOA model that better integrates gas- and particle-phase chemistry based on the widely-used gas-phase chemical mechanism SAPRC. The specific objectives of the research are to: (1) Elucidate the secondary organic aerosol (SOA) formation potential for biomass burning (BB) derived hydrocarbon precursors; (2) Evaluate changes in SOA mass formation and properties with changes in chemical conditions; (3) Develop SOA parameterizations using existing two product (2p) and volatility basis set (VBS) model approaches; and (4) Advance an integrated gas- and particle-phase model representation of SOA 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.