Suspended matter distribution in the south-eastern Baltic Sea from satellite and <i>in situ</i> data

Bukanova, Tatiana; Kopelevich, O. V.; Vazyulya, Svetlana; Bubnova, E. S.; Sahling, Inna

doi:10.1080/01431161.2018.1519290

Cited by 10 publications

(4 citation statements)

References 41 publications

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“…Their results are used to assess bioproductivity and heat balance [2] of different water areas as well as for the development and modification of regional satellite algorithms [28,32,69]. The results can be used to study various oceanographic processes: inter-annual variability of the seawater light absorption in the surface layer of the northeastern Black Sea [52], CDOM distribution in the White Sea [70], seasonal variation of the satellite-derived phytoplankton primary production in the Kara Sea [71], suspended matter distribution in the south-eastern Baltic [72], and White seas [73,74], among other examples.…”

Section: Discussionmentioning

confidence: 99%

Numerical Simulation of a Light Field Structure in an Integrating Sphere via the Monte Carlo Method

et al. 2023

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The integrated cavity absorption meter is designed to measure the seawater absorption coefficient spectra which are necessary for studying ocean productivity and heat balance. The performed numerical simulations of a light field structure made it possible to improve the measurement technique. Its results showed that the use of the Lambertian model allows to reduce the calculation time by two orders of magnitude with an acceptable loss of accuracy for these calculations. It is shown that in the case of an integrating sphere made of fluorilon, the use of different volume scattering functions does not affect the calculation result, which is not true in the case of using a sphere with a mirror coating. The effect of an air layer between quartz and fluorilon is considered, and the applicability of the diffusion approximation is verified. Examples of field measurements of the seawater absorption coefficient and its components performed in different water areas of the World Ocean in 2020–2022 are presented.

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Section: Discussionmentioning

confidence: 99%

Numerical Simulation of a Light Field Structure in an Integrating Sphere via the Monte Carlo Method

et al. 2023

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“…Therefore, the PP calculated from the satellite data averaged for two-week periods could better correspond to the measured PP. In addition, the constant presence of high concentrations of inorganic suspended matter and dissolved colored organic matter in the coastal area has a noticeable effect on the PP calculated from the satellite data 15,16 .…”

Section: Comparison Measured and Calculated Values Of Ppmentioning

confidence: 99%

Estimation of primary production for the southeastern Baltic Sea from chlorophyll a concentration and water column photosynthetic parameters

Kudryavtseva

Bukanova²

2022

28th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics

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An algorithm for the calculation of primary production (PP) for the Russian part of the southeastern Baltic Sea was evaluated. The algorithm is based on the vertical profile of chlorophyll a (Chl a), the parameter for estimation of the underwater irradiance distribution, and the photosynthetic parameter PBopt. An empirical equation previously developed for the Baltic Sea was used to reconstruct the vertical profiles of Chl a from its concentration in the surface layer. Parameter PBopt was observed from the data of monthly in situ measurements at a buoy station during the year. As a result, the multiple regression equation linked the photosynthetic parameter PBopt with two variables – the sea surface temperature and the Chl a concentration. Relationship between Chl a concentration at the surface and Secchi disk was used for estimation of the surface light diffuse attenuation coefficient. The algorithm was verified on the ship-based measurements and on satellite data. PP values calculated by the algorithm in the warm period of the year are not underestimated, what appears to be of a great importance for studying the biogeochemical cycles and carbon flux.

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“…Applicability of the calibration algorithm in such diverse waterbody suggests a potentially better performance in less complex areas of the coastal zone as well as in the open Baltic Sea. The approach needs to be further tested in other areas of the Baltic Sea, e.g., the Gulf of Bothnia with an even more explicit CDOM dominance, or the coastal waters and bays in southern and eastern Baltic proper as well as the Gulf of Finland with a strong influence of suspended particulate matter [50,[54][55][56][57][58][59].…”

Section: Potential Advantages and Challenges For Monitoring Water Quamentioning

confidence: 99%

Synergy of Satellite, In Situ and Modelled Data for Addressing the Scarcity of Water Quality Information for Eutrophication Assessment and Monitoring of Swedish Coastal Waters

et al. 2019

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Monthly CHL-a and Secchi Depth (SD) data derived from the full mission data of the Medium Resolution Imaging Spectrometer (MERIS; 2002 were analysed along a horizontal transect from the inner Bråviken bay and out into the open sea. The CHL-a values were calibrated using an algorithm derived from Swedish lakes. Then, calibrated Chl-a and Secchi Depth (SD) estimates were extracted from MERIS data along the transect and compared to conventional monitoring data as well as to data from the Swedish Coastal zone Model (SCM), providing physico-biogeochemical parameters such as temperature, nutrients, Chlorophyll-a (CHL-a) and Secchi depth (SD). A high negative correlation was observed between satellite-derived CHL-a and SD (ρ = −0.91), similar to the in situ relationship established for several coastal gradients in the Baltic proper. We also demonstrate that the validated MERIS-based estimates and data from the SCM showed strong correlations for the variables CHL-a, SD and total nitrogen (TOTN), which improved significantly when analysed on a monthly basis across basins. The relationship between satellite-derived CHL-a and modelled TOTN was also evaluated on a monthly basis using least-square linear regression models. The predictive power of the models was strong for the period May-November (R 2 : 0.58-0.87), and the regression algorithm for summer was almost identical to the algorithm generated from in situ data in Himmerfjärden bay. The strong correlation between SD and modelled TOTN confirms that SD is a robust and reliable indicator to evaluate changes in eutrophication in the Baltic proper which can be assessed using remote sensing data. Amongst all three assessed methods, only MERIS CHL-a was able to correctly depict the pattern of phytoplankton phenology that is typical for the Baltic proper. The approach of combining satellite data and physio-biogeochemical models could serve as a powerful tool and value-adding complement to the scarcely available in situ data from national monitoring programs. In particular, satellite data will help to reduce uncertainties in long-term monitoring data due to its improved measurement frequency.Sea eutrophication is recognized as a major large-scale environmental pressure, partially attributed to an excess loading of anthropogenically-derived nutrients [2][3][4]. In marine systems, eutrophication occurs predominantly in coastal areas and semi-enclosed waterbodies [2,5,6]. Nutrient loads to coastal areas have significantly increased in recent decades due to population growth especially in coastal areas. In the Baltic Sea the problem is exalted due to the relatively large catchment area of the Baltic Sea (i.e., 4.2 times the Baltic Sea), and a relatively low water exchange rate with the North Sea. For the last three decades, it is has been acknowledged that excessive amounts of nutrients such as N, P and organic matter-often represented by organic particular carbon (POC)-result in anoxic bottom waters, the spreading of dead bottom zones and increased frequency and intensity of algal...

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Suspended matter distribution in the south-eastern Baltic Sea from satellite and in situ data

Cited by 10 publications

References 41 publications

Numerical Simulation of a Light Field Structure in an Integrating Sphere via the Monte Carlo Method

Numerical Simulation of a Light Field Structure in an Integrating Sphere via the Monte Carlo Method

Estimation of primary production for the southeastern Baltic Sea from chlorophyll a concentration and water column photosynthetic parameters

Synergy of Satellite, In Situ and Modelled Data for Addressing the Scarcity of Water Quality Information for Eutrophication Assessment and Monitoring of Swedish Coastal Waters

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