Abstract

The key indicators of marine sediment genesis are the particle size distribution (PSD) and volume concentration of suspended particulate matter (SPM). However, their study is not widespread in ship oceanology research. This paper reviews experience in using the LISST-Deep laser particle size analyzer for the study of marine SPM in situ. We present the first data on the volume concentration and PSD of SPM in the Barents Sea obtained during the 75th cruise of the RV Akademik Mstislav Keldysh in June 2019. We carried out an assessment of the adequacy of information display on the polydisperse system composition of the Barents Sea water body, which contains particles of a wide particle size spectrum of differing genesis and shape. This paper gives a regression and correlation analysis of LISST-Deep data with a Wet Labs turbidity meter and Multisizer 3 Coulter Counter, as well as the SPM mass concentration measured by the membrane filtration technique. All of them demonstrated reliable correlations between characteristics of SPM of the Barents Sea. Their correlation and determination coefficients varied from 0.6 to 0.8. The laser diffractometer produces more detailed vertical distributions of marine SPM parameters than does a turbidity meter, especially for euphotic zones. We found a significant correlation of LISST-Deep data with the concentration of dissolved oxygen, which increases for coarse–silty and sandy fractions (47.7–92.6 and 92.6–250 µm, respectively). Also, there is a correlation with SPM composition between parameters as organic carbon concentration and phytoplankton pigments. These correlations give some indirect indications of SPM composition from laser diffractometer measurements.

中文翻译：

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LISST-深激光衍射仪原位测量巴伦支海中悬浮颗粒的特征

摘要

海洋沉积物成因的关键指标是粒径分布（PSD）和悬浮颗粒物的体积浓度（SPM）。但是，他们的研究在船舶海洋学研究中并不广泛。本文回顾了使用LISST-Deep激光粒度分析仪进行海洋SPM原位研究的经验。我们提出了在RV Akademik Mstislav Keldysh第75次航行中获得的巴伦支海中SPM的体积浓度和PSD的第一个数据我们在2019年6月对巴伦支海水体的多分散系统组成的信息显示是否充分进行了评估，该组成包含了具有不同成因和形状的宽粒度谱的颗粒。本文使用湿实验室浊度仪和Multisizer 3 Coulter计数器对LISST-Deep数据进行了回归分析和相关性分析，以及通过膜过滤技术测量的SPM质量浓度。所有这些都表明了巴伦支海SPM特征之间的可靠关联。它们的相关性和确定系数从0.6到0.8不等。激光衍射仪比浊度仪能产生更详细的海洋SPM参数垂直分布，尤其是对于富营养区。我们发现LISST-Deep数据与溶解氧的浓度存在显着相关性，溶解氧的浓度随粗粉质和砂质级分（分别为47.7–92.6和92.6–250 µm）的增加而增加。另外，有机碳浓度和浮游植物色素等参数与SPM组成也有相关性。这些相关性从激光衍射仪测量中间接给出了SPM成分的指示。