수질오염 감시체계 구축을 위한 수질 데이터의 통계적 예측 가능성 검토
(주)코리아스칼라
- 최초 등록일
- 2023.04.05
- 최종 저작일
- 2015.08
- 11페이지/ 어도비 PDF
- 가격 4,200원
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서지정보
ㆍ발행기관 : 대한상하수도학회
ㆍ수록지정보 : 상하수도학회지 / 29권 / 4호
ㆍ저자명 : 박노석, 이영주, 채선하, 윤석민
영어 초록
This study have been conducted to analyze the feasibility of establishing Contamination Warning System(CWS) that is capable of monitoring early natural or intentional water quality accidents, and providing active and quick responses for domestic C_water supply system. In order to evaluate the water quality data set, pH, turbidity and free residual chlorine concentration data were collected and each statistical value(mean, variation, range) was calculated, then the seasonal variability of those were analyzed using the independent t-test. From the results of analyzing the distribution of outliers in the measurement data using a high-pass filter, it could be confirmed that a lot of lower outliers appeared due to data missing. In addition, linear filter model based on autoregressive model(AR(1) and AR(2)) was applied for the state estimation of each water quality data set. From the results of analyzing the variability of the autocorrelation coefficient structure according to the change of window size(6hours~48hours), at least the window size longer than 12hours should be necessary for estimating the state of water quality data satisfactorily.
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