• Journal of Korea Water Resources Association
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• v.49 no.2
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• pp.155-164
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• 2016

Algal blooms not only destroy fish habitats but also diminish biological diversity of ecosystem which results into water quality deterioration of 4 major rivers in South Korea. The relationship between algal bloom and environmental factors had been analyzed through the cross-correlation function between concentration of chlorophyll a and other environmental factors. However, time series of cross-correlations can be affected by the stochastic structure such auto-correlated feature of other controllers. In order to remove external effect in the correlation analysis, the pre-whitening procedure was implemented into the cross correlation analysis. The modeling process is consisted of a series of procedure (e.g., model identification, parameter estimation, and diagnostic checking of selected models). This study provides the exclusive correlation relationship between algae concentration and other environmental factors. The difference between the conventional correlation using raw data and that of pre-whitened series was discussed. The process implemented in this paper is useful not only to identify exclusive environmental variables to model Chl-a concentration but also in further extensive application to configure causality in the environment.

• Journal of Environmental Science International
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• v.25 no.7
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• pp.937-950
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• 2016

Algal blooming in 4 major rivers introduces substantial impacts to water front activity. Concentrations of algae are increasing at major points along the Geum River. Ecosystem food webs can be affected by algal blooming because blue-green algae release toxic materials. Even though there have been many studies on blue-green algae, its causality to environmental factors has not been completely determined yet. This study analyzed the exclusive correlation between various hydrometeorological, water quality, and hydrologic variables and the cell number of cyanobacteria to understand causality of blue-green algae in the Geum River. A prewhitening process was introduced to remove the autocorrelation structure and periodicity, which is useful to evaluate the effective relationship between two time series.

• International Journal of Advanced Culture Technology
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• v.8 no.3
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• pp.10-17
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• 2020

This study was cross sectional descriptive survey study to analysis the relationship between marriage value view and health promotion behavior among university students. Questionnaires from those who voluntary agreed to the study were collected online, and the collection period was from May 20, 2020 to June 10, 2020. Research tools for analyzing marriage value view was used by RR lee, and health promotion behavior research tools was developed by Walker., The data analysis was performed using SPSS 18.0 as frequency, Pearson correlation, t-test, and Multiple regression analysis. According to the analysis, women had high passive (p<0.05) and exclusive (p<0.01) marriage value view, while men had high active (p<0.01) and instrumental (p<0.05) marriage value view. According to the analysis, it turns out that people who value interpersonal relationships during health promotion have a positive effect on romantic (t=2.383, R²=.257, p=.019) and instrumental (t=2.201, R²=.120, p=.030) marriage value view. Hygiene has been appeared to affect Passive marriage value view (t=3.001, R²=.111, p=.003) and Exclusive marriage value view (t=3.765, R²=.122, p=.000). Nutrition has been appeared to affect conservative marriage value view (t=2.086, R²=.118, p=0.039). Exercise has been appeared to affect conservative marriage value view (t=2.456, R²=.118, p=0.015) and active marriage value view (t=2.261, R²=.168, p=0.025). Through this study, in order to increase for the desire of marriage, marriage values need to be organized differently between men and women in marriage value programs and it suggested that health promotion behavior be included in programs that enhance the value of marriage.