Characterization of atmospheric iron over and its fluxes to the Southern Ocean through shipboard measurements

通过船上测量表征大气铁及其流向南大洋的通量

• 批准号: 0944589
• 负责人: Yuan Gao
• 金额: $ 30万
• 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: 2010
• 资助国家: 美国
• 起止时间: 2010-05-15 至 2013-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0944589&HistoricalAwards=false
• 关键词: Characterization; atmospheric; iron; over; its

Abstract High nutrient low chlorophyll regions of the Southern Ocean are conventionally explained by lack of bioavailable iron (Fe). Various localized sources of Fe in the Southern Ocean/Antarctic continental margins have been proposed and studied. In areas removed from obviously localized terrestrial dust sources, air-sea deposition of aerosol Fe, the particle size distribution of atmospheric Fe and the variability of aerosol composition, including other atmospheric constituents that may affect the bioavailability of Fe and micronutrients, is not well observed. This project seeks to conduct shipboard atmospheric sampling and analysis from a Chinese ice breaker (R/V Xue Long) passing through the Southern Ocean on route from Shanghai to Zhongshan Station, Antarctica Bulk aerosol and size segregated aerosol samples will be measured for their chemical, physical and morphological properties, Fe content by capillary waveguide spectrophotometry, elemental composition by mass spectrometry (ICPMS), along with corresponding water soluble fractions. Precipitation samples, when encountered, will also be analyzed to derive wet deposition fluxes. Satellite remote sensing of aerosol dust products and chemical transport modeling approaches will also be used in data interpretation.

南大洋高营养低叶绿素区域通常被解释为缺乏生物可利用铁（Fe）。人们提出并研究了南大洋/南极大陆边缘的各种局部铁源。在远离明显局域陆地粉尘源的地区，气溶胶铁的海气沉积、大气铁的粒度分布和气溶胶成分的变异性，包括可能影响铁和微量营养素生物利用度的其他大气成分，没有很好地观察到。本项目旨在对从上海到南极中山站途经南大洋的中国破冰船“雪龙号”进行船载大气采样和分析，将测量散装气溶胶和大小分离气溶胶样品的化学、物理和形态特性，用毛细管波导分光光度法测量铁含量，用质谱法测量元素组成（ICPMS），以及相应的水溶性组分。当遇到降水样品时，也将对其进行分析，以得出湿沉积通量。气溶胶粉尘产品的卫星遥感和化学输送建模方法也将用于数据解释。