Collaborative Research: Formation of Sulfur Aerosols in Fairbanks, Alaska

合作研究：阿拉斯加费尔班克斯硫气溶胶的形成

• 批准号: 2029730
• 负责人: Rodney Weber
• 金额: $ 41.19万
• 依托单位: Georgia Tech Research Corporation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-11-15 至 2024-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2029730&HistoricalAwards=false
• 关键词: Collaborative; Research; Formation; Sulfur; Aerosols

This project is part of the broader effort, the Alaskan Layered Pollution and Chemical Analysis (ALPACA) research initiative and will also contribute to the NSF-funded SNAP-TEC (Sustainably Navigating Arctic Pollution through Engaging Communities) project that includes an intensive field campaign planned for the year 2022. The goal of ALPACA is to better understand the chemical processing of air pollution during the cold and dark conditions in the wintertime in the Arctic. The objectives of SNAP-TEC are to improve the understanding of wintertime Arctic outdoor and indoor air pollution to assist in the sustainable development of the Arctic and improve air quality for Arctic peoples. Data from this project will become available to the public and other investigators who will be able to utilize it in assessing how to mitigate poor air quality in the wintertime in the Arctic.Additional instrumentation will be deployed to improve the understanding of sulfur oxidation chemistry in the understudied high-latitude environment in Fairbanks, that is greatly impacted by both climate change and poor air quality. The PIs will investigate the formation routes and properties of hydroxymethane sulfonate (HMS) (HOCH2SO3-) in the atmosphere of Fairbanks. The PIs plan to collect online measurements of formaldehyde (HCHO) and PM2.5 inorganic sulfate and HMS with a PILS-IC (Particle-Into-Liquid Sampler coupled to an Ion Chromatograph). Measurements of gas and particle inorganic species that affect particle water and pH also will be measured, since HMS is formed through aqueous phase reactions that are sensitive to particle pH. Steady-state box model simulations will be conducted utilizing the data generated to examine the main chemical drivers of HMS formation in Fairbanks winter. This effort will examine the sensitivity of HMS formation to ambient HCHO and SO2 concentrations, meteorological conditions, aerosol liquid water, particle pH, and ionic strength.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.

该项目是更广泛努力的一部分，阿拉斯加分层污染和化学分析（羊驼）研究计划，还将为NSF资助的SNAP-TEC（可持续地通过参与社区导航北极污染）项目做出贡献，该项目包括2022年计划的密集现场活动，以更好地理解Alpaca的目标。 SNAP-TEC的目标是提高对冬季北极室外和室内空气污染的理解，以帮助北极的可持续发展并改善北极人民的空气质量。该项目的数据将提供给公众和其他调查人员，他们将能够利用它来评估北极冬季如何减轻空气质量的差。 PI将研究Fairbanks大气中羟甲烷磺酸盐（HMS）（HOCH2SO3-）的形成路线和特性。 PIS计划用PILS-IC（粒子 - 液体采样器耦合到离子色谱仪）收集甲醛（HCHO）和PM2.5无机硫酸盐和HMS的在线测量。还将测量影响颗粒水和pH的气体和颗粒无机物种的测量，因为HMS是通过对颗粒pH敏感的水相反应形成的。将利用生成的数据来检查Fairbanks冬季HMS形成的主要化学驱动因素，进行稳态模拟模拟。这项工作将研究HMS对环境HCHO和SO2浓度，气象条件，气溶胶液态水，颗粒pH和离子强度的敏感性。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子优点和更广泛影响的审查标准来通过评估来支持的。