Experimental research on treating reservoir water contaminated by algae using GAC-sand dual media filter flofilter

WANG Yonglei; LI Jun; ZHANG Kefeng; JIA Ruibao; LI Mei; SONG Wuchang; LI Ying

doi:10.3969/j.issn.0438-1157.2014.06.052

您当前的位置：

首页 >

文章列表页 >

Experimental research on treating reservoir water contaminated by algae using GAC-sand dual media filter flofilter

更新时间：2025-12-10

- Experimental research on treating reservoir water contaminated by algae using GAC-sand dual media filter flofilter
- CIESC Journal Issue 6, Pages: 2335-2343(2014)
- 作者机构：
  
  1. 北京工业大学建筑工程学院, 北京市水质科学与水环境恢复工程重点实验室,北京,100124
  2. 山东建筑大学市政与环境工程学院,山东,济南,250101
  3. 济南市供排水监测中心,山东,济南,250100
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.0438-1157.2014.06.052
  CLC： U991.2
- Online First：05 June 2014，
  
  Published：05 June 2014
- 稿件说明：
移动端阅览
WANG Yonglei, LI Jun, ZHANG Kefeng, et al. Experimental research on treating reservoir water contaminated by algae using GAC-sand dual media filter flofilter[J]. CIESC Journal, 2014, (6): 2335-2343.
DOI：

WANG Yonglei, LI Jun, ZHANG Kefeng, et al. Experimental research on treating reservoir water contaminated by algae using GAC-sand dual media filter flofilter[J]. CIESC Journal, 2014, (6): 2335-2343. DOI： 10.3969/j.issn.0438-1157.2014.06.052.

摘要

目前水库水源藻污染日益严重，传统沉淀固液分离工艺难以满足净水要求。以鹊山引黄水库高藻原水为研究对象，开发了炭砂双层滤料浮滤池，考察了浮滤池工艺运行特性及运行效果。试验表明，絮凝剂选用聚合氯化铝铁（PAFC），在投药量4.0 mg·L-1（以Al3+计），回流比8%，溶气压力0.4 MPa时，运行效果较优。炭层所含生物量约占滤料层总生物量的97.4%（最高值50.2 nmol P·g-1），是砂滤层（3.0 nmol P·g-1）的16.7倍，污染物的去除主要发生在活性炭层。试验期间，浮滤池工艺对颗粒物、蓝绿藻、浊度、CODMn、NPOC、UV254、氨氮的去除率分别达到96.48%、92.40%、92.56%、57.41%、51.60%、52.50%、75.67%，嗅味由4级降为0级，出水土臭素、二甲基异冰片含量均小于检出限，一氯二溴甲烷、三氯甲烷前体物的去除率分别达到55.1%和60%，表明浮滤池工艺对常规指标、藻类、嗅味物质、消毒副产物前体物去除效果显著。

Abstract

The algae pollution of reservoir water is serious increasingly

the traditional process of sedimentation solid-liquid separation hardly meets the requirement of clearwater. GAC-sand-double-filtration flofilter was built to treat the high algae reservoir water derived from yellow river

and the running and operating characteristics of this flofilter were investigated. The experiment results showed that

the effect of running was excellent when polyaluminum ferric chloride(PAFC) dosage was 4.0 mg·L-1 (Al3+)

air pressure 0.4 MPa

and reflux ratio 8%. Biomass of GAC and sand filter layer mainly existed in the carbon layer

which accounted for 97.4% (the highest value was 50.2 nmol P·g-1)

and its biomass was 16.7 times of sand layer (3.0 nmol P·g-1)

so the removal of pollutants occured mainly in the carbon layer. During the test

removal efficiency of particulate matter

blue-green algae

turbidity

CODMn

NPOC

UV254

ammonia nitrogen reached 96.48%

92.40%

92.56%

57.41%

51.60%

52.50%

75.67% respectively. Odor reduced from 4 to 0. Contents of geosmin and methylisoborneol were both less than the detection limit. Removal efficiency of chloroform

chlorodibromomethane reached 60% and 55.1%. The results showed that

flofilter process had a great removal on conventional index

algae

odor substances and disinfection byproducts precursors.

关键词

Keywords

references

Views

311

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Prediction model for COD in petrochemical wastewater influent based on temporal-spatial dual-stream convolutional neural network

Physics-informed neural networks for intelligent prediction of petrochemical wastewater treatment processes

Adaptive evidential deep learning framework for predicting PFAS environmental transport properties

Effects of diesel injection strategy on performance of methanol/diesel dual direct injection engine

Research on process control of preparation of mesophase pitch by fluid catalytic cracking slurry oil

Related Author

CHEN Lin

HU Fangjie

WANG Qinghong

CHEN Chunmao

SUO Hansheng

HAN Jiahang

HAN Lijun

NING Yu

Related Institution

State Key Laboratory of Heavy Oil Processing, College of Chemical Engineering and Environment, China University of Petroleum

Petro-CyberWorks Information Technology Co., Ltd.

School of Environmental and Chemical Engineering, Chongqing Sanxia University of Science and Technology

Oil Gas Field Applied Chemistry Key Laboratory of Sichuan Province, CCDC Drilling Production Technology Research Institute, Guanghan

Guangxi Key Laboratory of Petrochemical Resource Processing and Process Intensification Technology, School of Chemistry and Chemical Engineering, Guangxi University

⁰