Volume 12 Issue 1
Jan.  2022
Turn off MathJax
Article Contents
Article Navigation >  Journal of Environmental Engineering Technology  > 2022  >  12(1): 62-69
XU Q K,DAI H L,ZHAO G Q,et al.Numerical simulation and response surface optimization of micro-vortex flocculation process for high turbidity water treatment[J].Journal of Environmental Engineering Technology，2022，12（1）：62-69 doi: 10.12153/j.issn.1674-991X.20210620
Citation: XU Q K,DAI H L,ZHAO G Q,et al.Numerical simulation and response surface optimization of micro-vortex flocculation process for high turbidity water treatment[J].Journal of Environmental Engineering Technology，2022，12（1）：62-69 doi: 10.12153/j.issn.1674-991X.20210620
shu

Numerical simulation and response surface optimization of micro-vortex flocculation process for high turbidity water treatment

doi: 10.12153/j.issn.1674-991X.20210620
  • 1.

    School of Civil Engineering and Architecture, East China Jiaotong University

  • 2.

    National Experimental Teaching Demonstration Center of Civil Engineering, East China Jiaotong University

  • Received Date: 2021-10-28
    Abstract
  • The optimization of continuous process was conducted for the treatment of high turbidity water by micro-vortex flocculation process. The computational fluid dynamics (CFD) numerical simulation software was applied to explore the changes of liquid flow state in the flocculation area under different flow rate (flow velocity) so as to determine the optimal flocculation time. By using response surface Box-Behnken design method, the effects of flow rate, coagulant dosing and reflux ratio and their interactions on the treatment effectiveness of high turbidity water by micro-vortex flocculation process were studied. The research showed that as the flow rate (flow velocity) increased, the turbulent kinetic energy, effective energy consumption, G-value and its rate of change in the flocculation zone gradually increased, but too excessive flow velocity could lead to insufficient flocculation time, and thus the optimal flow rate range was 4.2-7.0 m3/h. or the optimal flow velocity was 0.41-0.67 m/s. The reflux ratio was a highly significant factor affecting the micro-vortex flocculation process, followed by the coagulant dosage and flow rate, with a synergistic effect between the three. The best process parameters of micro-vortex flocculation process for treating high turbidity water were: flow rate 5.9 m3/h, coagulant dosage 34.8 mg/L, and reflux ratio 0.8; the removal rates of turbidity, UV254 and CODMn were 99.23%, 95.03%, and 71.42%, respectively. The optimized micro-vortex flocculation process could provide a new way for high turbidity water treatment technology with certain application prospects.

     

    • FullText(HTML)
  • loading
    • References(20)
  • [1]
    HOU C Y, SONG J E, YAN J G, et al. Growth indicator response of Zostera japonica under different salinity and turbidity stresses in the Yellow River Estuary, China[J]. Marine Geology,2020,424:106169. doi: 10.1016/j.margeo.2020.106169
    [2]
    SUN Y J, ZHU C Y, SUN W Q, et al. Plasma-initiated polymerization of chitosan-based CS-g-P(AM-DMDAAC) flocculant for the enhanced flocculation of low-algal-turbidity water[J]. Carbohydrate Polymers,2017,164:222-232. doi: 10.1016/j.carbpol.2017.02.010
    [3]
    陈永平, 罗雯, 许春阳, 等.高浓度黏性泥沙絮团微观结构及其对沉降特性的影响[J]. 泥沙研究,2020,45(6):8-14.

    CHEN Y P, LUO W, XU C Y, et al. Microstructure of cohesive sediment flocs with high concentration and its influence on the deposition characteristics[J]. Journal of Sediment Research,2020,45(6):8-14.
    [4]
    祝苑, 潘丁瑞, 汪艳, 等.新型助凝剂海藻酸钠的助凝效能及作用机制研究[J]. 环境工程技术学报,2019,9(6):680-684. doi: 10.12153/j.issn.1674-991X.2019.05.150

    ZHU Y, PAN D R, WANG Y, et al. Study on coagulation aid efficiency and mechanism of new coagulant sodium alginate[J]. Journal of Environmental Engineering Technology,2019,9(6):680-684. doi: 10.12153/j.issn.1674-991X.2019.05.150
    [5]
    王艺, 戴红玲, 周政, 等.微涡流絮凝工艺处理低温低浊微污染水的优化[J]. 中国给水排水,2019,35(23):41-47.

    WANG Y, DAI H L, ZHOU Z, et al. Optimization of micro Vortex flocculation process for treatment of low temperature and low turbidity micro-polluted water[J]. China Water & Wastewater,2019,35(23):41-47.
    [6]
    DAI H L, QIU Z M, HU F P, et al. Floc Performance parameters during water treatment in a micro-Vortex flocculation process determined by machine vision[J]. Environmental Technology,2019,40(23):3062-3071. doi: 10.1080/09593330.2018.1465127
    [7]
    伏雨, 龙云, 肖波, 等.栅条絮凝池内部流场及颗粒运动状态模拟分析[J]. 环境工程,2021,39(4):25-29.

    FU Y, LONG Y, XIAO B, et al. Numerical simulation and analysis of flow field and particle motion in grid flocculation tank[J]. Environmental Engineering,2021,39(4):25-29.
    [8]
    陈玉, 王军, 张培璇.穿孔旋流絮凝池加网格板的数值模拟[J]. 中国给水排水,2019,35(1):48-51.

    CHEN Y, WANG J, ZHANG P X. Numerical simulation of revolving flow flocculation tank with grid plates[J]. China Water & Wastewater,2019,35(1):48-51.
    [9]
    HE W P, LU W J, XU S R, et al. Comparative analysis on floc morphological evolution in cylindrical and square stirred-tank flocculating reactors with or without baffles: flocculation-test and CFD-aided investigations[J]. Chemical Engineering Research and Design,2019,147:278-291. doi: 10.1016/j.cherd.2019.05.012
    [10]
    GANJARE A V, PATWARDHAN A W. CFD simulations of single-phase flow in settling tanks: comparison of turbulence models[J]. Indian Chemical Engineer,2020,62(4):413-426. doi: 10.1080/00194506.2019.1677514
    [11]
    王璐, 熊乐航, 张远, 等.LNG接收站冷排水的温降及余氯对水环境影响的数值模拟: 以湄洲湾东吴港区为例[J]. 环境工程技术学报,2021,11(5):962-969. doi: 10.12153/j.issn.1674-991X.20210007

    WANG L, XIONG L H, ZHANG Y, et al. Numerical simulation of temperature drop and residual chlorine effect on water environment in LNG receiving station: a case study in Dongwu port area of Meizhou Bay[J]. Journal of Environmental Engineering Technology,2021,11(5):962-969. doi: 10.12153/j.issn.1674-991X.20210007
    [12]
    刘昶, 郑明霞, 孙源媛, 等.河道硬化对傍河地下水源补给结构及范围的影响[J]. 环境科学研究,2020,33(12):2820-2828.

    LIU C, ZHENG M X, SUN Y Y, et al. Effects of river hardening on recharging structure and range of riverside groundwater source field[J]. Research of Environmental Sciences,2020,33(12):2820-2828.
    [13]
    王子凌, 信欣, 刘琴, 等.响应面法优化CANON工艺处理猪场沼液脱氮性能研究[J]. 环境科学研究,2020,33(10):2326-2334.

    WANG Z L, XIN X, LIU Q, et al. Optimization of denitrification performance of CANON process for treating anaerobic digester liquor of swine wastewater by response surface methodology[J]. Research of Environmental Sciences,2020,33(10):2326-2334.
    [14]
    RAHMANNEZHAD J, MIRBOZORGI S A. CFD analysis and RSM-based design optimization of novel grooved micromixers with obstructions[J]. International Journal of Heat and Mass Transfer,2019,140:483-497. doi: 10.1016/j.ijheatmasstransfer.2019.05.107
    [15]
    SABETI M B, HEJAZI M A, KARIMI A. Enhanced removal of nitrate and phosphate from wastewater by Chlorella vulgaris: multi-objective optimization and CFD simulation[J]. Chinese Journal of Chemical Engineering,2019,27(3):639-648. doi: 10.1016/j.cjche.2018.05.010
    [16]
    林炜琛, 邵瑞朋, 王乔, 等.基于CFD和RSM的全效膜元件进水流道优化研究[J]. 膜科学与技术,2020,40(6):88-95.

    LIN W C, SHAO R P, WANG Q A, et al. Optimization of feed channel of full-effective membrane modules based on CFD simulation and RSM analysis[J]. Membrane Science and Technology,2020,40(6):88-95.
    [17]
    赵国强, 戴红玲, 王艺, 等.低温低浊水絮凝工艺的数值模拟与响应面优化试验研究[J]. 水资源与水工程学报,2021,32(1):117-124.

    ZHAO G Q, DAI H L, WANG Y, et al. Numerical simulation and response surface optimization of low temperature and turbidity water flocculation process[J]. Journal of Water Resources and Water Engineering,2021,32(1):117-124.
    [18]
    TOOR U A, DUONG T T, KO S Y, et al. Optimization of Fenton process for removing TOC and color from swine wastewater using response surface method (RSM)[J]. Journal of Environmental Management,2021,279:111625. doi: 10.1016/j.jenvman.2020.111625
    [19]
    GHAFFARIRAAD M, GHANBARZADEH LAK M. Landfill leachate treatment through coagulation-flocculation with lime and bio-sorption by Walnut-shell[J]. Environmental Management,2021,68(2):226-239. doi: 10.1007/s00267-021-01489-4
    [20]
    TASCA A L, MANNARINO G, GORI R, et al. Phosphorus recovery from sewage sludge hydrochar: process optimization by response surface methodology[J]. Water Science and Technology,2020,82(11):2331-2343. □ doi: 10.2166/wst.2020.485
    • Relative Articles
    • Supplements(0)
    • Cited By
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(9)  / Tables(7)

    Get Citation
    PDF
    XML

    Article Metrics

    Article Views(264) PDF Downloads(39) Cited by()
    Proportional views
    Related

    Copyright © Editorial Department of Journal of Environmental Engineering Technology

    京ICP备05031605号-2

    Supported by: Beijing Renhe Information Technology Co., Ltd.  

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return