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http://dx.doi.org/10.7850/jkso.2010.15.3.124

Time Integration Algorithm for the Estimation of Daily Primary Production  

Park, Jong-Gyu (Department of Oceanography, Kunsan National University)
Kim, Eung-Kwon (Department of Oceanography, Kunsan National University)
Publication Information
The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY / v.15, no.3, 2010 , pp. 124-132 More about this Journal
Abstract
In spite of the global importance of primary production of phytoplankton, some primary production data in Korean coastal waters still need to be better processed. The daily rates of water column primary production is generally estimated by integrating the primary production per unit volume over time and depth, but efforts for time integration algorithm have been conducted insufficiently. In this study a mathematical equation evaluating daily primary production integrated over time of a day is proposed and the effectiveness of the model is tested on Saemangeum Lake. The daily primary productions computed with the proposed equation were nearly the same with the results numerically integrated by substituting solar irradiance data. It was suggested that better estimation of primary production would be obtained by using monthly or weekly means of solar irradiance rather than more variable daily data. Because of the vertically heterogenous distribution of phytoplankton, it's hard to integrate the equation over depth to give the daily rates of primary production per unit area of water surface. However, the problem would be solved if, after the vertical distribution of phytoplankton was classified into several patterns and reduced to mathematical formula, every composite function of time integrated equation and chlorophyll distribution equation was integrated successfully.
Keywords
daily primary production; time integration algorithm; Saemangeum Lake; Phytoplankton;
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