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A Study on the Relationship between Cyanobacteria and Environmental Factors in Yeongcheon Lake

영천호에서 남조류 발생과 환경요인의 관련성 연구

  • Received : 2019.04.09
  • Accepted : 2019.07.18
  • Published : 2019.07.30

Abstract

The purpose of this study is to analyze the characteristics and correlations of the Yeongcheon Lake in order to reduce the occurrence of harmful cyanobacteria. In this study, we investigated the water quality and phytoplankton of the lake from May to November in 2017. Correlation and data mining analyses were performed to analyze the relationship between the two factors. The water temperature was lowest at the point where the Yeongcheon Lake inflow occurs at Imha Lake. It was highest at the point where the outflow occurs to Angye Lake. The pH was also highest at the outflow point, but in the case of DO, it was highest at the midpoint between the inflow and outflow. The main cyanobacteria that emerged during the study period were Oscillatorialimosa, Microcysti saeruginosa and Aphanizomenon flos-aquae. As a result of correlation analysis, the water temperature, inflow, COD loading, TOC loading at the inflow point of the Yeongcheon Lake were the items that were related to the harmful cyanobacteria. The data mining analysis indicated that the TP loading and harmful cyanobacteria in the inflow point of the Yeongcheon Lake were influential on the detrimental cyanobacteria in the Yeongcheon Lake outflow point. When the TP loading was less than 39.0 kg/day at the inflow site, it was expected that the amount of harmful cyanobacteria could be maintained below 10,000 cells/mL.

Keywords

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Fig. 1. Map showing the sampling stations in the upper region of the Yeongcheon Lake.

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Fig. 2. Daily fluctuations of air temperature, 7 days precipitation, daylight hours, water level, inflow and outflow reach of the Yeongcheon Lake from the survey period.

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Fig. 3. Change of phytoplankton standing crops by survey period andfour sampling stations of the Yeongcheon Lake.

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Fig. 4. Change of harmful cyanobacteria standing crops by survey period and five sampling stations of the Yeongcheon Lake.

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Fig. 5. Comparison of cyanobacteria decision tree regression formula and the Y-4 cyanobacteria cells

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Fig. 6. Changes in the number of Y-4 cyanobacteria cells according to Y-2 TP loading

Table 1. Physical and chemical characteristics of LakeYeongcheon determined during the experimental period. The values indicate mean, standard deviation and range (maximum and minimum).

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Table 2. Correlation between the number of harmful Cyanobacteria cells in Yeongcheon Lake and water quality factors.

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Table 3. Model formula of harmful cyanobacteria in Y-4 derived from data mining.

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