中国科学院沈阳自动化研究所机构知识库
Advanced  
SIA OpenIR  > 广州中国科学院沈阳自动化研究所分所  > 期刊论文
题名:
印染废水混凝加药工艺优化实验研究
其他题名: Research on Optimization of Dyeing Wastewater by Coagulant Dosing Process
作者: 唐嘉丽 ; 吉世明 ; 岳秀 ; 于广平 ; 苑明哲
作者部门: 广州中国科学院沈阳自动化研究所分所
关键词: 印染废水 ; 混凝加药 ; 优化
刊名: 广东化工
ISSN号: 1007-1865
出版日期: 2015
卷号: 42, 期号:3, 页码:97-98
产权排序: 1
摘要: 混凝沉淀法是广泛采用的印染废水预处理方法。以硫酸亚铁,石灰和阴离子PAM为药剂,针对广东省某印染废水处理厂的调节池出水进行混凝加药工艺优化,最终可以使COD去除率达到50%左右,其中硫酸亚铁的投加量为800 ppm,石灰的投加量为160~200 ppm,阴离子PAM的投加量为4 m L/L,相比以烧碱为助凝剂,使用石灰可以达到相同的处理效果且大幅降低成本。
英文摘要: It is widely used of coagulating sedimentation method by dyeing wastewater pretreatment. Ferrous sulfate, lime and anionic PAM were used for degrading the effluent of conditioning tank which belong to a dyeing wastewater treatment plant within Guangdong Province, while coagulation process was optimized. Ultimately, COD removal can reach about 50 %, including ferrous sulfate dosage amount of 800 ppm, the dosage of lime for 160~200 ppm, the dosage of the anionic PAM was 4 mL/L, compared with caustic soda as coagulant, the use of lime to achieve the same treatment effect and significantly reduce costs.
语种: 中文
内容类型: 期刊论文
URI标识: http://ir.sia.cn/handle/173321/15763
Appears in Collections:广州中国科学院沈阳自动化研究所分所_期刊论文

Files in This Item: Download All
File Name/ File Size Content Type Version Access License
印染废水混凝加药工艺优化实验研究.pdf(469KB)----开放获取View Download

Recommended Citation:
唐嘉丽,吉世明,岳秀,等. 印染废水混凝加药工艺优化实验研究[J]. 广东化工,2015,42(3):97-98.
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[唐嘉丽]'s Articles
[吉世明]'s Articles
[岳秀]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[唐嘉丽]‘s Articles
[吉世明]‘s Articles
[岳秀]‘s Articles
Related Copyright Policies
Null
Social Bookmarking
Add to CiteULike Add to Connotea Add to Del.icio.us Add to Digg Add to Reddit
文件名: 印染废水混凝加药工艺优化实验研究.pdf
格式: Adobe PDF
所有评论 (0)
暂无评论
 
评注功能仅针对注册用户开放,请您登录
您对该条目有什么异议,请填写以下表单,管理员会尽快联系您。
内 容:
Email:  *
单位:
验证码:   刷新
您在IR的使用过程中有什么好的想法或者建议可以反馈给我们。
标 题:
 *
内 容:
Email:  *
验证码:   刷新

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.

 

 

Valid XHTML 1.0!
Copyright © 2007-2017  中国科学院沈阳自动化研究所 - Feedback
Powered by CSpace