Performance and process simulation of membrane bioreactor (MBR) treating petrochemical wastewater

污水处理 膜污染 化学 结垢 化学需氧量 废物管理 胞外聚合物 环境工程 膜反应器 微滤 曝气
作者
Shujuan Huang,Ching Kwek Pooi,Xueqing Shi,Sunita Varjani,How Yong Ng
出处
期刊:Science of The Total Environment [Elsevier]
卷期号:747: 141311- 被引量:13
标识
DOI:10.1016/j.scitotenv.2020.141311
摘要

Mathematical modelling of biological treatment is an effective tool to predict effluent quality. Model calibration is critical to improve the accuracy of simulation, which is normally carried out by fine-tuning the values of parameters according to the practical data. It indicated that huge amount of practical date will be consumed, and it cannot predict the treatment performance of new wastewater. In this study, the main objective was to investigate the feasibility of application BioWin software coupled with determination of sensitive parameters to predict the treatment performance of membrane biological reactors (MBRs) treating real petrochemical wastewater (PW). Model calibrations, i.e., COD fractions of petrochemical wastewater and kinetic parameters of biomass, were carried out using the respirometry method and the relationship between observed and true growth yield coefficients of the three lab-scale MBRs which were operated under different solid retention time (SRT). All the three MBRs had good organic and ammonium removal, with removal efficiencies higher than 80% and 99.9%, respectively. Simulation using the calibrated model also obtained good fit for effluent COD concentration, effluent nitrate concentration and bioreactor's MLSS concentration of all the three MBRs. The mean absolute percentage errors (MAPE) of the simulation mostly were lower than 22%. The results indicated that it is feasible to using BioWin, incorporated with appropriate determination methods of sensitive parameters, to simulate and monitor the treatment performance of MBR treating petrochemical wastewater. This is more time-saving and effective than fine-tuning values of all parameters. This study provides a valuable reference for simulation of industrial wastewater treatment using BioWin.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
圆圆的脑袋应助涛浪采纳,获得10
1秒前
隐形曼青应助皮皮桂采纳,获得10
2秒前
凝子老师完成签到,获得积分10
2秒前
奶糖发布了新的文献求助30
2秒前
TORCH完成签到 ,获得积分10
4秒前
李健的小迷弟应助lin采纳,获得10
4秒前
4秒前
5秒前
TT发布了新的文献求助10
5秒前
奶糖完成签到,获得积分10
8秒前
丘比特应助浪迹天涯采纳,获得10
9秒前
11秒前
11秒前
虚幻白玉发布了新的文献求助10
12秒前
清客完成签到 ,获得积分10
12秒前
传奇3应助阳阳采纳,获得10
12秒前
14秒前
皮皮桂发布了新的文献求助10
14秒前
Hello应助无奈傲菡采纳,获得10
14秒前
故意的傲玉应助FENGHUI采纳,获得10
15秒前
16秒前
科研通AI5应助nextconnie采纳,获得10
17秒前
James完成签到,获得积分10
17秒前
18秒前
Lucas应助sun采纳,获得10
19秒前
KristenStewart完成签到,获得积分10
21秒前
过时的热狗完成签到,获得积分10
21秒前
点点完成签到,获得积分10
21秒前
Zxc发布了新的文献求助10
22秒前
涨芝士完成签到 ,获得积分10
23秒前
24秒前
无名欧文关注了科研通微信公众号
24秒前
科研123完成签到,获得积分10
26秒前
crescent完成签到 ,获得积分10
28秒前
无奈傲菡发布了新的文献求助10
28秒前
烟花应助123号采纳,获得10
31秒前
超帅的遥完成签到,获得积分10
31秒前
Zxc完成签到,获得积分10
32秒前
lbt完成签到 ,获得积分10
33秒前
yao完成签到 ,获得积分10
34秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
Luis Lacasa - Sobre esto y aquello 700
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527998
求助须知:如何正确求助?哪些是违规求助? 3108225
关于积分的说明 9288086
捐赠科研通 2805889
什么是DOI,文献DOI怎么找? 1540195
邀请新用户注册赠送积分活动 716950
科研通“疑难数据库(出版商)”最低求助积分说明 709849