총유기탄소 연속자동측정기를 이용한 산업폐수 유기물관리 방안 (Organic Matter Control in Industrial Wastewater by Online TOC)

서지정보

· 발행기관 : 한국환경분석학회
· 수록지 정보 : 환경분석과 독성보건 / 19권 / 4호 / 254 ~ 263페이지
· 저자명 : 오은하, 김재령, 박귀환, 하훈, 양수인, 이용운

초록

The reduction of organic loading in waste water is the one of the chief purposes of waste water treatment processes. In this study, we measured the movement of organic matter continuously during the treatment process and monitored its concentration by using online TOC analyzer. Using this method, we attempted to evaluate the effectiveness organic matter management using with a online TOC analyzer. We also attempted to develop waste water treatment monitoring technology. Wastewater treatment plants that processed waste from basic petrochemical compound manufacturing facilities using chemical and biological treatments, that resulted in acidic or alkaline waste waters were investigated. Two kinds of inlet waters and one kind of mixing water were studied to monitor the movement of organic matter. Waste water influx and settling tank, aeration tank, and filter were used to monitor three kinds of water remotely. Laboratory and online measurement results were compared periodically to verify the reliability of the test results. After real-time monitoring, the movement of organic materials in inlet water and the impact of organic matter on loading changes were verified during the waste water treatment process. This monitoring was carried out twice over six weeks. The first attempt focused on quality control and adjustment of the measurement conditions and the second one focused on the actual monitoring. Due to insufficient pH control due to the influx of unknown alkaline samples, abnormal results were estimated in the first attempt, and reliable results were only obtained in the second attempt. More than 10 times the expected amount of abnormal results were obtained ; these can be attributed to high wastewater tank cleaning and process work. In conclusion, we were able to determine the effectiveness of real-time monitoring of organic matter movement in waste water treatment plants and suggest improvements for long term monitoring and automatic treatment of waste water.

영어초록

The reduction of organic loading in waste water is the one of the chief purposes of waste water treatment processes. In this study, we measured the movement of organic matter continuously during the treatment process and monitored its concentration by using online TOC analyzer. Using this method, we attempted to evaluate the effectiveness organic matter management using with a online TOC analyzer. We also attempted to develop waste water treatment monitoring technology. Wastewater treatment plants that processed waste from basic petrochemical compound manufacturing facilities using chemical and biological treatments, that resulted in acidic or alkaline waste waters were investigated. Two kinds of inlet waters and one kind of mixing water were studied to monitor the movement of organic matter. Waste water influx and settling tank, aeration tank, and filter were used to monitor three kinds of water remotely. Laboratory and online measurement results were compared periodically to verify the reliability of the test results. After real-time monitoring, the movement of organic materials in inlet water and the impact of organic matter on loading changes were verified during the waste water treatment process. This monitoring was carried out twice over six weeks. The first attempt focused on quality control and adjustment of the measurement conditions and the second one focused on the actual monitoring. Due to insufficient pH control due to the influx of unknown alkaline samples, abnormal results were estimated in the first attempt, and reliable results were only obtained in the second attempt. More than 10 times the expected amount of abnormal results were obtained ; these can be attributed to high wastewater tank cleaning and process work. In conclusion, we were able to determine the effectiveness of real-time monitoring of organic matter movement in waste water treatment plants and suggest improvements for long term monitoring and automatic treatment of waste water.

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