• 제목/요약/키워드: Exclusive cross correlation analysis

검색결과 3건 처리시간 0.017초

4대강 주요지점에서의 조류 발생인자의 배타적 상관성분석에 대한 연구 (Exclusive correlation analysis for algae and environmental factors in weirs of four major rivers in South Korea)

  • 이은형;김연화;김경현;김상현
    • 한국수자원학회논문집
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    • 제49권2호
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    • pp.155-164
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    • 2016
  • 남조류의 대번성은 특정 생물종의 감소와 물고기의 서식처를 감소하게 하는 결과를 가져와서 생태계에 상당한 교란을 가져오고 4대강의 수질을 위협하고 있다. 조류의 대번성에 영향을 미치는 인자를 해석하기 위해서 전통적으로 클로르필 a의 농도와 환경인자간의 교차상관함수를 계산하는 방식이 수행되어왔다. 교차상관함수에 사용되는 원 시계열 자료는 추계구조에 의해 영향을 받기 때문에 시계열 데이터의 추계학적인 구조를 파악하고 외부의 영향을 제거하는 선백색화 기법을 도입하였다. 이와 같은 모의과정은 모형구조의 파악, 매개변수추정, 선택된 모형의 자가진단수행등의 일련의 과정으로 진행된다. 선백색화 처리된 데이터를 이용하여 배타적 상관분석을 실시하였고 원데이터의 결과와 비교하였다. 이와 같은 과정은 조류농도 발생의 영향 인자를 구분하기 위해서도 유용한 과정이고 다른 환경인자들 사이에서의 인과성을 규명하는데도 유용하다.

금강 주요지점에서의 환경 인자와 남조류 세포수의 배타적 인과성분석 (Analysis of Exclusive Causality between Environmental Factors and Cell Number of Cyanobacteria in Guem River)

  • 김연화;이은형;김경현;김상현
    • 한국환경과학회지
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    • 제25권7호
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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.

Relationship between Health Promotion Behavior and Marriage Value View

  • Kim, Jungae;Seo, Eunhui
    • International Journal of Advanced Culture Technology
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    • 제8권3호
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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.