High resolution, in-situ studies of seawater carbonate chemistry and carbon cycling in coastal systems using CHANnelized Optical System II

High resolution, in-situ studies of seawater carbonate chemistry and carbon cycling in coastal systems using CHANnelized Optical System II
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使用通道化光学系统 II 对沿海系统中的海水碳酸盐化学和碳循环进行高分辨率原位研究

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通讯作者:
M. C. Ringham
M. C. Ringham
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作者:
M. C. Ringham

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海洋二氧化碳系统的研究对于了解全球碳循环和海洋化学变化对海洋生态系统的影响至关重要。本论文描述了一种近连续的,原位溶解无机碳(DIC)传感器,通道化光学系统(CHANOS)II,适合于部署从移动的和固定的平台的发展。该系统提供的DIC测量准确度为2.9(实验室)或9.0(现场)μmol kg-1,精度为~4.9-5.5 μmol kg-1。时间序列实地部署在波卡塞特河,MA,揭示季节性和情节性的dichlorochemical变化,包括两种不同的反应,热带风暴和东北系统。横跨马萨诸塞州瓦阔特湾的拖曳表面测绘部署突出了DIC从盐沼通过潮汐水的输出。在西佛罗里达斜坡的深珊瑚土丘上进行的深海部署期间收集的高分辨率(<100 m)数据显示,与潜水期间收集的少数瓶子样本(n = 5,2190.9 ± 1.0 μmol kg-1)相比,海底和珊瑚栖息地的DIC范围(~1900 - 2900 μ mol kg-1)要宽得多。这些部署突出表明,需要在高空间尺度上调查深海生物地球化学,以了解底栖生物群落遇到的环境变化范围。
Study of the marine CO2 system is critical for understanding global carbon cycling and the impacts of changing ocean chemistry on marine ecosystems. This thesis describes the development of a near-continuous, in-situ dissolved inorganic carbon (DIC) sensor, CHANnelized Optical System (CHANOS) II, suitable for deployment from both mobile and stationary platforms. The system delivers DIC measurements with an accuracy of 2.9 (laboratory) or 9.0 (field) μmol kg-1, at a precision of ~4.9-5.5 μmol kg-1. Time-series field deployments in the Pocasset River, MA, revealed seasonal and episodic biogeochemical shifts in DIC, including two different responses to tropical storm and nor’easter systems. Towed surface mapping deployments across Waquoit Bay, MA, highlighted the export of DIC from salt marshes through tidal water. High resolution (<100 m) data collected during ROV deployments over deep coral mounds on the West Florida Slope revealed a much wider DIC range (~1900 – 2900 μmol kg-1) across seafloor and coral habitats than was observed through the few bottle samples collected during the dives (n = 5, 2190.9 ± 1.0 μmol kg-1). These deployments highlight the need to investigate deep sea biogeochemistry at high spatial scales in order to understand the range of environmental variation encountered by benthic communities.