Abstract This study was carried out to evaluate influent water quality of Nambu wastewater treatment plant and multivariate regression model for forcasting the influent water characteristics. The daily influent data from 2003 to 2011(9 years) wer...

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https://www.riss.kr/link?id=T13069458
부산 : 부경대학교, 2013
2013
한국어
539 판사항(5)
부산
78 p : 삽화 ; 26 cm
부경대학교 논문은 저작권에 의해 보호받습니다.
지도교수:이병현
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다운로드다국어 초록 (Multilingual Abstract)
Abstract This study was carried out to evaluate influent water quality of Nambu wastewater treatment plant and multivariate regression model for forcasting the influent water characteristics. The daily influent data from 2003 to 2011(9 years) wer...
Abstract
This study was carried out to evaluate influent water quality of Nambu wastewater treatment plant and multivariate regression model for forcasting the influent water characteristics. The daily influent data from 2003 to 2011(9 years) were used for stochastic model,
Among the influent water quality concentrations of the BOD, COD, TN, TP in dry seasons were higer than in the wet seasons, while the influent flowrate and coliforms in dry seasons lower than in the wet seasons.
Temperature, BOD, COD, TN, TP can be well forecasted by multivariates regeression method.
목차 (Table of Contents)