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    통계분석 기법을 이용한 군산연안해역의 수질특성 평가 = (A) study on water quality evaluation in coastal sea of Kunsan using statistic analysis

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    https://www.riss.kr/link?id=T9382368

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    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    This study was conducted to evaluate water quality in coastal sea of Kunsan using multivariate analysis. The analysis data in Coastal Sea of Kunsan use of surveyed data by the NFRDI from April 2000 to November 2002. Twelve water quality parameter were determined on each sample.
    The results was summarized as follow, water quality in coastal sea of Kunsan could be explained up to 62.782% by four factors which were included in loading of nitrate-nutrients by pattern 24.688%, suspended solids pattern (12.180%) seasonal climate variation pattern 18.367%, phytoplankton limite factor DIP pattern (10.546%).
    A thesis submitted to the Committee of the Graduate School, Kunsan National University in Partial fulfillment of the requirement for degree of Master of Engineering in February 2004.
    The results was summarized as follow, water quality in coastal sea of Kunsan could be explained up to 62.782% by four factors which were included in loading of nitrate-nutrients by pattern 24.688%, suspended solids pattern (12.180%) seasonal climate variation pattern 18.367%, phytoplankton limite factor DIP pattern (10.546%).
    The results was summarized as follow, water quality in coastal sea of Kunsan could be explained up to 62.782% by four factors which were included in loading of nitrate-nutrients by pattern 24.688%, suspended solids pattern (12.180%) seasonal climate variation pattern 18.367%, phytoplankton limite factor DIP pattern (10.546%).
    Principal component analysis of spatial was division five factor. And principel component analysis of year was division four factor.
    The result of time series analysis by factor score, st. 2 was the most affected by nitrate-nutrient and suspended solids in coastal sea of kunsan. Because st. 2 is closed to the keum river esturary.
    It could be suggested from these results that it is important to reduce the pollution loads from Kuem river for the control of the water quality in coastal sea of Kunsan.
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    This study was conducted to evaluate water quality in coastal sea of Kunsan using multivariate analysis. The analysis data in Coastal Sea of Kunsan use of surveyed data by the NFRDI from April 2000 to November 2002. Twelve water quality parameter were...

    This study was conducted to evaluate water quality in coastal sea of Kunsan using multivariate analysis. The analysis data in Coastal Sea of Kunsan use of surveyed data by the NFRDI from April 2000 to November 2002. Twelve water quality parameter were determined on each sample.
    The results was summarized as follow, water quality in coastal sea of Kunsan could be explained up to 62.782% by four factors which were included in loading of nitrate-nutrients by pattern 24.688%, suspended solids pattern (12.180%) seasonal climate variation pattern 18.367%, phytoplankton limite factor DIP pattern (10.546%).
    A thesis submitted to the Committee of the Graduate School, Kunsan National University in Partial fulfillment of the requirement for degree of Master of Engineering in February 2004.
    The results was summarized as follow, water quality in coastal sea of Kunsan could be explained up to 62.782% by four factors which were included in loading of nitrate-nutrients by pattern 24.688%, suspended solids pattern (12.180%) seasonal climate variation pattern 18.367%, phytoplankton limite factor DIP pattern (10.546%).
    The results was summarized as follow, water quality in coastal sea of Kunsan could be explained up to 62.782% by four factors which were included in loading of nitrate-nutrients by pattern 24.688%, suspended solids pattern (12.180%) seasonal climate variation pattern 18.367%, phytoplankton limite factor DIP pattern (10.546%).
    Principal component analysis of spatial was division five factor. And principel component analysis of year was division four factor.
    The result of time series analysis by factor score, st. 2 was the most affected by nitrate-nutrient and suspended solids in coastal sea of kunsan. Because st. 2 is closed to the keum river esturary.
    It could be suggested from these results that it is important to reduce the pollution loads from Kuem river for the control of the water quality in coastal sea of Kunsan.

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    목차 (Table of Contents)

    • 목차 = i
    • List of Table = iii
    • List of Figure = iv
    • Ⅰ. 서론 = 1
    • Ⅱ. 연구내용 및 방법 = 4
    • 목차 = i
    • List of Table = iii
    • List of Figure = iv
    • Ⅰ. 서론 = 1
    • Ⅱ. 연구내용 및 방법 = 4
    • 2.1 대상유역 및 자료출처 = 4
    • 2.2 다변량분석(요인분석) = 4
    • 2.3 시계열분석 = 7
    • Ⅲ. 결과 및 고찰 = 8
    • 3.1 수질특성 및 항목간의 상관분석 = 8
    • 3.1.1 수질특성 = 8
    • 3.1.2 수질항목간의 상관분석 = 19
    • 3.2 주성분분석 = 20
    • 3.2.1 요인득점에 의한 지점별 수질변동 평가 = 26
    • 3.2.2 요인득점에 의한 연도별 수질변동 평가 = 27
    • 3.2.3 요인득점에 의한 월별 수질변동 평가 = 27
    • 3.2.4 지점별 연도별 주성분분석 = 33
    • 3.3 요인득점에 의한 시계열 변화 = 34
    • Ⅳ. 결론 = 37
    • Ⅴ. 참고문헌 = 39
    • Abstract = 43
    • 감사의 글 = 45
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