Particulate organic carbon in the southern Baltic Sea: numerical simulations and experimental data
Particulate Organic Carbon (POC) is an important component in the carbon cycle of land-locked seas. In this paper, we assessthe POC concentration in the Gdańsk Deep, southern Baltic Sea. Our study is based on both a 1D POC Model and current POCconcentration measurements. The aim is twofold: (i) vali...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2010-12-01
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| Series: | Oceanologia |
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| Online Access: | http://www.iopan.gda.pl/oceanologia/52_4.html#A4 |
| _version_ | 1818964336529375232 |
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| author | Lidia Dzierzbicka-Głowacka Karol Kuliński Anna Maciejewska Jaromir Jakacki Janusz Pempkowiak |
| author_facet | Lidia Dzierzbicka-Głowacka Karol Kuliński Anna Maciejewska Jaromir Jakacki Janusz Pempkowiak |
| author_sort | Lidia Dzierzbicka-Głowacka |
| collection | DOAJ |
| description | Particulate Organic Carbon (POC) is an important component in the carbon cycle of land-locked seas. In this paper, we assessthe POC concentration in the Gdańsk Deep, southern Baltic Sea. Our study is based on both a 1D POC Model and current POCconcentration measurements. The aim is twofold: (i) validation of simulated concentrations with actual measurements, and (ii) a qualitativeassessment of the sources contributing to the POC pool.<br> The POC model consists of six coupled equations: five diffusion-typeequations for phytoplankton, zooplankton, pelagic detritus and nutrients (phosphate and total inorganic nitrogen) and one ordinarydifferential equation for detritus at the bottom. The POC concentration is determined as the sum of phytoplankton, zooplankton and pelagicdetritus concentrations, all expressed in carbon equivalents. Bacteria are not simulated in this paper.<br> The observed large fluctuations of POC concentrations are attributedto its appreciable seasonal variability. The maximum concentration of POC varied between 870 mgC m<sup>-3</sup> inMay and 580 mgC m<sup>-3</sup> in September, coinciding with the period of maximum dead organic matter andphytoplankton biomass concentrations. The results of the numerical simulations are in good agreement with observed values. The differencebetween the modelled and observed POC concentrations is equal to 3-28% and depends on the month for which the calculations were made,although no time trend of the difference is observed. The conclusion is that the numerical simulations are a sufficiently good reflectionof POC dynamics in the Baltic. |
| first_indexed | 2024-12-20T12:59:30Z |
| format | Article |
| id | doaj.art-86e8283c41b5498eae0619ffb09d8445 |
| institution | Directory Open Access Journal |
| issn | 0078-3234 |
| language | English |
| last_indexed | 2024-12-20T12:59:30Z |
| publishDate | 2010-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Oceanologia |
| spelling | doaj.art-86e8283c41b5498eae0619ffb09d84452022-12-21T19:39:57ZengElsevierOceanologia0078-32342010-12-01524621648Particulate organic carbon in the southern Baltic Sea: numerical simulations and experimental dataLidia Dzierzbicka-GłowackaKarol KulińskiAnna MaciejewskaJaromir JakackiJanusz PempkowiakParticulate Organic Carbon (POC) is an important component in the carbon cycle of land-locked seas. In this paper, we assessthe POC concentration in the Gdańsk Deep, southern Baltic Sea. Our study is based on both a 1D POC Model and current POCconcentration measurements. The aim is twofold: (i) validation of simulated concentrations with actual measurements, and (ii) a qualitativeassessment of the sources contributing to the POC pool.<br> The POC model consists of six coupled equations: five diffusion-typeequations for phytoplankton, zooplankton, pelagic detritus and nutrients (phosphate and total inorganic nitrogen) and one ordinarydifferential equation for detritus at the bottom. The POC concentration is determined as the sum of phytoplankton, zooplankton and pelagicdetritus concentrations, all expressed in carbon equivalents. Bacteria are not simulated in this paper.<br> The observed large fluctuations of POC concentrations are attributedto its appreciable seasonal variability. The maximum concentration of POC varied between 870 mgC m<sup>-3</sup> inMay and 580 mgC m<sup>-3</sup> in September, coinciding with the period of maximum dead organic matter andphytoplankton biomass concentrations. The results of the numerical simulations are in good agreement with observed values. The differencebetween the modelled and observed POC concentrations is equal to 3-28% and depends on the month for which the calculations were made,although no time trend of the difference is observed. The conclusion is that the numerical simulations are a sufficiently good reflectionof POC dynamics in the Baltic.http://www.iopan.gda.pl/oceanologia/52_4.html#A4POCPhytoplanktonZooplanktonDetritus |
| spellingShingle | Lidia Dzierzbicka-Głowacka Karol Kuliński Anna Maciejewska Jaromir Jakacki Janusz Pempkowiak Particulate organic carbon in the southern Baltic Sea: numerical simulations and experimental data Oceanologia POC Phytoplankton Zooplankton Detritus |
| title | Particulate organic carbon in the southern Baltic Sea: numerical simulations and experimental data |
| title_full | Particulate organic carbon in the southern Baltic Sea: numerical simulations and experimental data |
| title_fullStr | Particulate organic carbon in the southern Baltic Sea: numerical simulations and experimental data |
| title_full_unstemmed | Particulate organic carbon in the southern Baltic Sea: numerical simulations and experimental data |
| title_short | Particulate organic carbon in the southern Baltic Sea: numerical simulations and experimental data |
| title_sort | particulate organic carbon in the southern baltic sea numerical simulations and experimental data |
| topic | POC Phytoplankton Zooplankton Detritus |
| url | http://www.iopan.gda.pl/oceanologia/52_4.html#A4 |
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