다변량 통계분석을 이용한 미호강 유역 수질 특성 분석 = Analysis of water quality characteristics of the Miho River basin using multivariate statistical analysis

국문 초록 (Abstract)

본 연구에서는 인근 수질측정지점 간의 수질의 기여도를 간접적으로 파악하고 본류와 지류하천 간의 영향력을 해석하기 위해 시계열 분석이 가능한 STL (Seasonal and Trend decomposition using Loess) 기법을 수질자료에 적용한 결과를 보고하고 있다. STL 기법은 수계 시계열 자료의 이상치를 판별하고 제거할 수 있게 하며 해당 자료의 수질 변화 추세와 계절적 특성을 분석하는 방법이다. 또한, 인접하게 위치한 수질측정지점자료 간의 수질 상관도 및 유사도를 분석하기 위해 지점간 상관분석을 실시하였으며 요인분석을 통해 본류와 유입 지류 측정 자료 간의 수질 자료에서 공통요인이 영향을 미치는 지점을 분류하였다. 미호강의 경우 상관도가 높다고 판단된 지점 간의 요인분석 결과 지류하천 보다 본류의 영향이 절대적인 것으로 파악됨에 따라 미호강 상류를 포함한 본류지점에 대한 수질관리가 우선시되어야 할 것으로 분석되었다. 본 연구에서 사용된 방법으로 우리나라 주요 하천 본류의 상·하류 지점과 유입지점 간의 수질 영향력 정도를 분석할 수 있음에 따라 향후 하천의 수질관리 대안 개발에 효과적으로 적용할 수 있을 것으로 판단된다.

다국어 초록 (Multilingual Abstract)

In this study, the Seasonal and Trend Composition Using Loess (STL) technique, which enables time series analysis, was applied to indirectly identify the contribution of water quality between nearby water quality measurement points and to interpret the influence between the main stream and tributary streams in the Miho River basin. This technique can identify and remove outliers in the time series data of the water system and analyze water quality change trends and seasonal characteristics. In addition, in order to analyze the correlation and similarity between water quality data at adjacent measurement points, a correlation analysis was conducted, and the points where common factors affect the water quality of the mainstream and inflow tributaries were classified. As a result of factor analysis between points judged to have high correlations in Miho River, it was found that the influence of the mainstream was absolute over tributaries, and it was analyzed that water quality management for the mainstream including the upstream of the Miho River should be given priority. As the degree of water quality influence between points can be analyzed by the method used in this study, it is judged that it can be effectively applied to the development of alternatives for water quality management of rivers in the future.

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