Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2019, Vol. 16, No. 1, pp. 137-146
Variability of the content of suspended organic matter along the southwestern Crimean coast according to ship and satellite observations
A.S. Kukushkin
1 , A.V. Parkhomenko
2 1 Marine Hydrophysical Institute RAS, Sevastopol, Russia
2 Kovalevsky Institute of Marine Biological Research RAS, Sevastopol, Russia
Accepted: 28.01.2019
DOI: 10.21046/2070-7401-2019-16-1-137-146
The article discusses the results of the use of ship (archival) data on the content of suspended organic matter (SOM), ship and satellite data on the chlorophyll a concentration for studying the variability of SOM component content (suspended organic carbon, nitrogen, phosphorus) in the surface layer of the shelf zone of the southwestern Crimea. On the basis of ship data on SOM content and chlorophyll a, seasonal regression equations were obtained between these values measured simultaneously in the surface layer of the studied sea region. With the use of these equations and accessible ship and satellite data on the concentration of chlorophyll a, the seasonal concentrations of the SOM components were calculated, the difference from the measured seasonal concentrations was in the range of 10–25 %. The measured and calculated concentrations of suspended organic carbon were used to assess its seasonal spatial distribution in the surface layer of the investigated region. According to the measured and calculated (according to satellite data) concentrations of SOM components, their annual variability agrees well with the annual course of phytoplankton development in the shelf waters of the southwestern Crimea. The received results prove correctness of the performed calculations of SOM component content and confirm the utility of using satellite data on chlorophyll a concentration to study SOM component spatial and intra-annual variability.
Keywords: chlorophyll a concentration, suspended organic matter, shipboard and satellite observations, regression equations, variability, Black Sea
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