SGER: Quantifying the Relationships Between Dust Source Variability, Dust Emissions, and Air-to-Sea Deposition

SGER：量化尘源变化、粉尘排放和空海沉积之间的关系

• 批准号: 0737172
• 负责人: Yuan Gao
• 金额: --
• 依托单位: Rutgers University Newark
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-08-01 至 2010-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0737172&HistoricalAwards=false
• 关键词: SGER; Quantifying; Relationships; Between; Dust

This research project is a case study of the variability of dust sources in China. The goal is to quantify the impact of land-use changes, in particular those due to desertification, on the magnitude of dust emissions, loading in the atmosphere and deposition to the Pacific Ocean. Empirical analyses will be carried out using data collected over the dust source regions in China to investigate the relationships among the sources. The Model of Atmospheric Transport and Chemistry (MATCH, v. 4.2) will be used to simulate dust emissions, transport, and deposition with the improved source emission functions. The results from this work will contribute to a better understanding and prediction of the impacts of changes in dust sources on atmospheric composition and climate. Dust is also an important source of iron, a critical nutrient for phytoplankton growth, in the surface waters of several large regions of the global ocean, so a better quantification of the aeolian iron source has significant impacts on research in global biogeochemical cycles. In addition, this project will foster international collaboration and the sharing of data.

该研究项目是中国沙尘源变异性的案例研究。 目标是量化土地利用变化，特别是荒漠化引起的变化，对粉尘排放量、大气负荷和太平洋沉积的影响。 将利用中国沙尘源地区收集的数据进行实证分析，探讨源之间的关系。 大气传输和化学模型（MATCH，v. 4.2）将用于通过改进的源排放函数来模拟粉尘排放、传输和沉积。这项工作的结果将有助于更好地理解和预测沙尘源变化对大气成分和气候的影响。 在全球海洋几个大区域的表层水中，灰尘也是铁的重要来源，而铁是浮游植物生长的关键营养物质，因此更好地量化风成铁源对全球生物地球化学循环的研究具有重大影响。 此外，该项目还将促进国际合作和数据共享。