CAREER: Understanding Multiphase Atmospheric Aerosol Particle Thermodynamics using Models, Mimics, and Microfluidics

职业：使用模型、模拟和微流体了解多相大气气溶胶颗粒热力学

• 批准号: 1554936
• 负责人: Cari Dutcher
• 金额: $ 47.76万
• 依托单位: University of Minnesota-Twin Cities
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-07-01 至 2022-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1554936&HistoricalAwards=false
• 关键词: CAREER; Understanding; Multiphase; Atmospheric; Aerosol

This effort will improve the ability to model aerosol properties in the atmosphere. It combines thermodynamic modeling and experimental studies to better understand water uptake by particles and the interactions of gases, solid and liquid aerosols, and water in the Earth's atmosphere. Project results will benefit climate and air quality models and improve our ability to predict ambient concentrations of particulate matter.The specific project outcomes expected are: (1) a parameterized predictive model for equilibrium internal structure of atmospheric aerosol particles (internally mixed, nodule, or core-shell) in complex multicomponent systems across the entire range of particle liquid water content or gas phase relative humidity; and (2) a novel microfluidic platform for mimicking and investigating aqueous-organic and aqueous-vapor interfaces which will yield valuable data for improving the parameterizations used in predictive models.

这一努力将提高模拟大气中气溶胶特性的能力。它结合了热力学建模和实验研究，以更好地了解颗粒的水分吸收以及地球大气中气体，固体和液体气溶胶以及水的相互作用。 项目成果将有益于气候和空气质量模型，提高我们预测环境颗粒物浓度的能力。具体的项目预期成果是：（1）大气气溶胶颗粒物平衡内部结构的参数化预测模型（内部混合，结核，或核壳）在复杂的多组分系统在整个范围内的颗粒液态水含量或气相相对湿度;以及（2）用于模拟和研究水-有机物和水-蒸气界面的新型微流体平台，这将产生用于改进预测模型中使用的参数化的有价值的数据。