In the Daecheong Lake, the algae succession can be divided into the early period in spring (~ July) dominated by diatom, the middle period in summer (July ~ October) dominated by blue?]green algae, and the late period (October ~) dominated again by diatom. Particularly in the middle period dominated...
In the Daecheong Lake, the algae succession can be divided into the early period in spring (~ July) dominated by diatom, the middle period in summer (July ~ October) dominated by blue?]green algae, and the late period (October ~) dominated again by diatom. Particularly in the middle period dominated by blue?]green algae, succession is made from Microcystis spp. Anababena spp. and Aphanizomenon spp. to Microcystis spp. Anababena spp. and Oscillatoria spp., showing a high correlation with various environmental factors in the entire area of the Daecheong Lake. It was found that the correlation is higher during the rainy season than the non?]rainy season and that the succession and quantitative change of algae species are active when a stable stratum is formed. However, in the early and late periods, conditions for forming the algal stratum changed as diatom became the dominant algae and, as a result, the correlation was lowered and the stratum became unstable. In the Daecheong Lake, eutrophication was different by season and by area. Eutrophication appeared in the upper reaches of Hoinam area before the flood season and in its lower reaches after the flood season. In addition, according to the result of data analysis by water layer, turbid inflow water from the rainfall during the summer contained a lot of nutrients like N and P and organic matters (BOD and CODmn). This suggests that the change of flow rate during the season has a significant effect on eutrophication. Thus, for effective control of eutrophication, we suggest the prevention of inflow of nutrients like P from the upper reaches based on the flow rate of 200CMS as the flow rate for extracting nutrients from soil. What is more, compared with the results of regression analysis in previous research, data from 2005 showed that the number of coefficients of determination decreased and p?]value increased. Accordingly, the application was considered unreasonable yet. However, it was found sufficiently possible to forecast eutrophication through SS, etc. during autumn and winter because of the mixture of all water layers due to constant aeration.
In the Daecheong Lake, the algae succession can be divided into the early period in spring (~ July) dominated by diatom, the middle period in summer (July ~ October) dominated by blue?]green algae, and the late period (October ~) dominated again by diatom. Particularly in the middle period dominated by blue?]green algae, succession is made from Microcystis spp. Anababena spp. and Aphanizomenon spp. to Microcystis spp. Anababena spp. and Oscillatoria spp., showing a high correlation with various environmental factors in the entire area of the Daecheong Lake. It was found that the correlation is higher during the rainy season than the non?]rainy season and that the succession and quantitative change of algae species are active when a stable stratum is formed. However, in the early and late periods, conditions for forming the algal stratum changed as diatom became the dominant algae and, as a result, the correlation was lowered and the stratum became unstable. In the Daecheong Lake, eutrophication was different by season and by area. Eutrophication appeared in the upper reaches of Hoinam area before the flood season and in its lower reaches after the flood season. In addition, according to the result of data analysis by water layer, turbid inflow water from the rainfall during the summer contained a lot of nutrients like N and P and organic matters (BOD and CODmn). This suggests that the change of flow rate during the season has a significant effect on eutrophication. Thus, for effective control of eutrophication, we suggest the prevention of inflow of nutrients like P from the upper reaches based on the flow rate of 200CMS as the flow rate for extracting nutrients from soil. What is more, compared with the results of regression analysis in previous research, data from 2005 showed that the number of coefficients of determination decreased and p?]value increased. Accordingly, the application was considered unreasonable yet. However, it was found sufficiently possible to forecast eutrophication through SS, etc. during autumn and winter because of the mixture of all water layers due to constant aeration.
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