A sensor package for mapping pH and oxygen from mobile platforms

Philip J. Bresnahan , Taylor Wirth , Todd R. Martz , Andreas J. Andersson , Tyler Cyronak , Sydney D'Angelo , James Pennise , W. Kendall Melville , Luc Lenain , Nicholas Statom
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引用次数: 23

Abstract

A novel chemical sensor package named “WavepHOx” was developed in order to facilitate measurement of surface ocean pH, dissolved oxygen, and temperature from mobile platforms. The system comprises a Honeywell Durafet pH sensor, Aanderaa optode oxygen sensor, and chloride ion selective electrode, packaged into a hydrodynamic, lightweight housing. The WavepHOx has been deployed on a stand-up paddleboard and a Liquid Robotics Wave Glider in multiple near-shore settings in the Southern California Bight. Integration of the WavepHOx into these mobile platforms has enabled high spatiotemporal resolution pH and dissolved oxygen data collection. It is a particularly valuable tool for mapping shallow, fragile, or densely vegetated ecosystems which cannot be easily accessed by other platforms. Results from three surveys in San Diego, California, are reported. We show pH and dissolved oxygen variability >0.3 and >50% saturation, respectively, over tens to hundreds of meters to highlight the degree of natural spatial variability in these vegetated ecosystems. When deployed during an extensive discrete sampling program, the WavepHOx pH had a root mean squared error of 0.028 relative to pH calculated from fifty six measurements of total alkalinity and dissolved inorganic carbon, confirming its capacity for accurate, high spatiotemporal resolution data collection.

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用于从移动平台绘制pH值和氧气的传感器包
为了便于从移动平台测量海洋表面pH值、溶解氧和温度,开发了一种名为“WavepHOx”的新型化学传感器包。该系统由霍尼韦尔Durafet pH传感器、Aanderaa光电氧传感器和氯离子选择电极组成,封装在一个流体动力轻质外壳中。WavepHOx已被部署在一个站立式桨板和一个液体机器人波浪滑翔机上,在南加州海湾的多个近岸环境中使用。将WavepHOx集成到这些移动平台中,可以实现高时空分辨率的pH值和溶解氧数据收集。对于绘制其他平台无法轻松访问的浅层、脆弱或植被密集的生态系统,它是一个特别有价值的工具。报告了在加州圣地亚哥进行的三项调查的结果。我们在几十到几百米范围内分别显示了pH和溶解氧的0.3和50%饱和度,以突出这些植被生态系统的自然空间变异性程度。当在广泛的离散采样程序中部署时,WavepHOx的pH值相对于56个总碱度和溶解无机碳测量值的pH值的均方根误差为0.028,证实了其准确、高时空分辨率数据收集的能力。
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