This paper presents the mobile complex to perform continuous measurements of chlorophyll-A concentrations and dissolved organic matter by the laser induced fluorescence method. The obtained data allow evaluating the state of the photosynthetic system of phytoplankton cells. In addition, the complex allows recording the CO2 gas analyzer data, the sea water saltiness sensors, pH, temperature, and solar illumination meter. The mobility this complex ensures a possibility working on different ships and under stationary conditions. The configuration of the complex can be promptly changed for solving the current problem by promptly adding or replacing various devices and sensors. The developed software integrates all devices into the complex. The enclosure of system allows use of conventional laboratory equipment, which is resistant to vibration, but not protected from the effects of the marine environment. Results of in situ measurements performed in Sea of Japan (Peter the Great Bay) by experimental setup are given.
This paper describes an apparatus and operation of automated flow-through dual-channel fluorometer for studying the fluorescence of dissolved organic matter, and the fluorescence of phytoplankton cells with open and closed reaction centers in sea areas with oligotrophic and eutrophic water type. The step-by step excitation by two semiconductor lasers or two light-emitting diodes is realized in the current device. The excitation wavelengths are 405nm and 532nm in the default configuration. Excitation radiation of each light source can be changed with different durations, intensities and repetition rate. Registration of the fluorescence signal carried out by two photo-multipliers with different optical filters of 580-600 nm and 680-700 nm band pass diapasons. The configuration of excitation sources and spectral diapasons of registered radiation can be changed due to decided tasks.
KEYWORDS: Reflectivity, Absorption, Fluorometers, Seaborgium, Data modeling, Spectrophotometry, Remote sensing, Scattering, Process control, Biological research
Ship-based remotely sensed hyperspectral data of sea surface reflectance obtained in the Peter the Great Bay in 2009 and
2010 during different seasons were used. Every spectrum was fitted by analytical biooptical algorithm with five
unknown variables. Setup of various initial conditions was used for each spectrum fitting procedure. Optimal values of
initial and boundary conditions for Peter the Great Bay were obtained by the analysis of initial and boundary conditions
which have led to "true solutions". Relationships between various unknown variables were established in order to
simplify the biooptical algorithm and to optimize chooses of initial conditions.
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