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http://dx.doi.org/10.17663/JWR.2019.21.4.312

A study on the characteristics of cyanobacteria in the mainstream of Nakdong river using decision trees  

Jung, Woo Suk (Dept. of Environmental Engineering, Inje University)
Jo, Bu Geon (Dept. of Environmental Engineering, Inje University)
Kim, Young Do (Dept. of Environmental Engineering, Inje University)
Kim, Sung Eun (Dept. of Civil and Environmental Engineering, University of Hawaii)
Publication Information
Journal of Wetlands Research / v.21, no.4, 2019 , pp. 312-320 More about this Journal
Abstract
The occurrence of cyanobacteria causes problems such as oxygen depletion and increase of organic matter in the water body due to mass prosperity and death. Each year, Algae bloom warning System is issued due to the effects of summer heat and drought. It is necessary to quantitatively characterize the occurrence of cyanobacteria for proactive green algae management in the main Nakdong river. In this study, we analyzed the major influencing factors on cyanobacteria bloom using visualization and correlation analysis. A decision tree, a machine learning method, was used to quantitatively analyze the conditions of cyanobacteria according to the influence factors. In all the weirs, meteorological factors, temperature and SPI drought index, were significantly correlated with cyanobacterial cell number. Increasing the number of days of heat wave and drought block the mixing of water in the water body and the stratification phenomenon to promote the development of cyanobacteria. In the long term, it is necessary to proactively manage cyanobacteria considering the meteorological impacts.
Keywords
Nakdong river; Cyanobacteria; Visualization analysis; Decision trees; Algal bloom warning system;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
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