首页 | 本学科首页   官方微博 | 高级检索  
     检索      

粉末活性炭-混凝-超滤联用工艺处理微污染原水的中试研究
引用本文:余振勋,曹达文,马延强,褚华强,董秉直.粉末活性炭-混凝-超滤联用工艺处理微污染原水的中试研究[J].南华大学学报(自然科学版),2010,24(3):92-95.
作者姓名:余振勋  曹达文  马延强  褚华强  董秉直
作者单位:1.同济大学 环境科学与工程学院,上海 200092;2.城市污染控制国家工程研究中心,上海 200092;3.同济大学 污染控制与资源化研究国家重点实验室,上海 200092
基金项目:"十一五"国家科技支撑计划基金,国家水体污染控制与治理科技重大专项基金
摘    要:对昆山傀儡湖微污染原水进行了粉末活性炭-混凝-超滤联用工艺的中试研究,研究表明混凝剂PAC投加量在30 mg/L的情况下,对浊度有较好的去除效果,但是对有机物的去除率较低.通过膜前在线再混凝,对CODMn的去除率有所提高,但对UV254没有明显影响;本中试对水中颗粒数也有较大的去除,去除率达到99%以上.

关 键 词:粉末活性碳  混凝  超滤  微污染原水  中试
收稿时间:7/6/2010 12:00:00 AM

Pilot-scale Hybrid Power Activated Carbon(PAC)/Coagulation/Ultrafiltration Technology for Micro-polluted Surface Water Purification
YU Zhen-xun,CAO Da-wen,MA Yan-qiang,CHU Hua-qiang,DONG Bing-zhi.Pilot-scale Hybrid Power Activated Carbon(PAC)/Coagulation/Ultrafiltration Technology for Micro-polluted Surface Water Purification[J].Journal of Nanhua University:Science and Technology,2010,24(3):92-95.
Authors:YU Zhen-xun  CAO Da-wen  MA Yan-qiang  CHU Hua-qiang  DONG Bing-zhi
Institution:1.School of Environmental Science and Engineering,Tongji University,Shanghai 200092,China;2.National Engineering Research Centre for Urban Pollution Control,Shanghai 200092,China;3.State Key Laboratory of Pollution Control and Resource Reuse,Tongji University,Shanghai 200092,China
Abstract:In this study,a pilot-scale hybrid PAC/coagulation/ultrafiltration system was conducted to treat micro-polluted raw water in Lake Kuilei,Kunshan city.The results indicated that the system removed turbidity with a high efficiency under a PAC dose of 30 mg/L,but with a low removal efficiency for organic matter.Though the removal of CODMn was raised by additional in-line coagulation before ultrafiltration,it was less effective in UV254 removal.Particle was almost eliminated with a removal efficiency of 99%.
Keywords:power activated carbon  coagulation  ultrafiltration  micro-polluted raw water  pilot-scale
本文献已被 CNKI 万方数据 等数据库收录!
点击此处可从《南华大学学报(自然科学版)》浏览原始摘要信息
点击此处可从《南华大学学报(自然科学版)》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号