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An evaluation of the performance of Sea-Bird Scientific's SeaFET? autonomous pH sensor: considerations for the broader oceanographic community

机译:对海鸟科学的海运绩效的评价?自主pH传感器:更广泛海洋社区的考虑因素

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The commercially available Sea-Bird SeaFET? provides an accessible way for a broad community of researchers to study ocean acidification and obtain robust measurements of seawater pH via the use of an in?situ autonomous sensor. There are pitfalls, however, that have been detailed in previous best practices for sensor care, deployment, and data handling. Here, we took advantage of two distinctly different coastal settings to evaluate the Sea-Bird SeaFET? and examine the multitude of scenarios in which problems may arise confounding the accuracy of measured pH. High-resolution temporal measurements of pH were obtained during 3- to 5-month field deployments in three separate locations (two in south-central Alaska, USA, and one in British Columbia, Canada) spanning a broad range of nearshore temperature and salinity conditions. Both the internal and external electrodes onboard the SeaFET? were evaluated against robust benchtop measurements for accuracy using the factory calibration, an in?situ single-point calibration, or an in?situ multi-point calibration. In addition, two sensors deployed in parallel in Kasitsna Bay, Alaska, USA, were compared for inter-sensor variability in order to quantify other factors contributing to the sensor's intrinsic inaccuracies. Based on our results, the multi-point calibration method provided the highest accuracy (0.025 difference in pH) of pH when compared against benchtop measurements. Spectral analysis of time series data showed that during spring in Alaskan waters, a range of tidal frequencies dominated pH variability, while seasonal oceanographic conditions were the dominant driver in Canadian waters. Further, it is suggested that spectral analysis performed on initial deployments may be able to act as an a posteriori method to better identify appropriate calibration regimes. Based on this evaluation, we provide a comprehensive assessment of the potential sources of uncertainty associated with accuracy and precision of the SeaFET? electrodes.
机译:市售的海鸟Seafet?为广泛的研究人员提供一种可访问的方式,以通过使用IN in in in-situ自主传感器来研究海洋酸化并获得海水pH的强大测量。然而,存在陷阱,这在先前的传感器护理,部署和数据处理方面都详细说明了。在这里,我们利用了两个明显不同的沿海设置来评估海鸟Seafet?并检查众多场景,在这种情况下可能会产生困扰测量的pH的准确性。在三个单独的位置(阿拉斯加南部,美国南部,美国南部,美国南部,加拿大中,加拿大中,加拿大南部的两个),获得了高分辨率的pH值的高分辨率时间测量。涵盖了广泛的近岸温度和盐度条件。海上内部和外部电极都是海架的?通过工厂校准,对精确度进行准确性评估强大的台式测量值,in?原位单点校准或in?原位多点校准。此外,与传感器间可变异相比,在美国阿拉斯加的Kasitsna湾并行部署的两个传感器,以量化有助于传感器内在不准确性的其他因素。根据我们的结果,多点校准方法提供了与台式测量相比pH的最高精度(pH值0.025差异)。时间序列数据的光谱分析显示,在阿拉斯加水域春季,一系列潮汐频率主导了pH变异性,而季节性海洋情况是加拿大水域中的主导司机。此外,建议对初始部署执行的光谱分析可能能够作为后验方法,以更好地识别适当的校准方案。在此评估的基础上,我们对与SeaFET的准确性和精确度相关的潜在不确定性的潜在来源进行全面评估?电极。

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