摘要
设计一种基于二段处理方法的高浓度COD消解数学模型和装置模型,数学模型包括反馈型A段处理方法和常规型B段处理方法。利用新型处理模型设计处理装置,能够准确模拟高负荷好氧型COD消解反应池的工作过程。实验利用污水处理厂一年的测量数据进行模型验证,计算污水COD的吸收效率,并验证新模型应用于静态环境和动态环境的可行性和有效性。结果表明,新型二段处理方法能够同时测量污泥滞留时间(SRT)和污水沉降效率(SSE),达到集总估计反应池效率和沉降器效率的目的。
A new mathematical model for digesting of high concentration COD is proposed in this paper. The two stage model consists of the feedback A processing stage and the traditional B processing stage. The simple device is designed for simulating the digesting reactor, which contains high load aerobic COD. New model was validated using the measured data from the sewage treatment plant in one year. The absorption efficiency of COD was calculated, to verify the feasibility and validity of our new model. The experimental results show that, firstly, this processing model can applied to the static and dynamic environment. Secondly, the sludge retention time(SRT) and the sewage settling efficiency(SSE) can be measured, simultaneously. Thirdly, the efficiency of the reactor and the efficiency of the settler can be estimated at the same time.
引文
[1] 李瑞. 关于测定水质COD 方法的探讨[J]. 安全环保,2017, 2:190-192.
[2] JIANG Y, LIANG P, ZHANG C, et al. Enhancing the response of microbial fuel cell based toxicity sensors to Cu(II)with the applying of flow -through electrodes and controlled anode potentials[J]. Biores Technol,2015, 190:367-372.
[3] 张冰, 顾振等. 电化学降解高COD废水研究[J]. 环境安全,2017, 1:152-153.
[4] JIA H, YANG G, WANG J, et al. Performance of a microbial fuel cell-based biosensor for online monitoring in an integrated system combining microbial fuel cell and upflow anaerobic sludge bed reactor[J]. Bioresource Technolog,2016, 218:286-293.
[5] 金海燕,张长寿. COD消解器必须解决的缺陷问题[J]. 环境科学导刊,2017, 36(2):116-119.
[6] 雷太平,顾锡慧等. 高效COD降解菌强化石化废水处理的研究[J]. 工业水处理,2016, 36(6):73-75.
[7] 贾辉, 杨光等. 进水COD浓度对基于MFC的UASB生物传感器反馈性能的影响[J]. 天津工业大学学报,2016, 35(6):55-60.
[8] 冯嵩. 微电解- Fenton 氧化联用去除高盐废水COD 研究[J]. 环境科学与管理, 2015, 41(10):103-116.
[9] 刘仁涛, 姜继平等. 突发水污染应急处置技术方案动态生成模型及决策支持软件系统[J]. 环境科学学报, 2017, 37(2): 763-770.
[10] 时永辉, 苏建文, 陈建华. 微电解- Fenton 深度处理制药废水影响因素与参数控制[J]. 环境工程学报, 2014, 8(3):1106 -1112.
[11] 李鹏, 赵同科. 猪粪污厌氧发酵沼液SS、COD的混凝预处理效果研究[J]. 水污染防治,2015, 7-10+85.
[12] 魏源送, 王健行等. 纳滤膜技术在废水深度处理中的膜污染及控制研究进展[J]. 环境科学学报,2017, 31(7): 1-10.
[13] 郭俊, 胡晓东, 石云峰. 铁碳微电解-Fenton氧化预处理头孢菌素废水应用性研究[J]. 水处理技术, 2015, 2: 113-116.
[14] 武旭跃, 邹华, 朱荣, 等. 太湖贡湖湾水域抗生素污染特征分析与生态风险评价[J]. 环境科学, 2016, 12: 4596-4604.
[15] 邬奇,张荣福等. 基于ORP原理的COD自动检测装置的设计[J]. 电子科技,2017, 30(1):168-172.
[16] 张为艳,刘鹏程等. 有机化工废水COD 高效降解菌的分离筛选及应用[J]. 工业水处理, 2016, 36(8):52-54+112.
[17] ZHANG Y F, ANGELIDAKI I. A simple and rapid method for monitoring dissolved oxygen in water with a submersible microbial fuel cell(SBMFC)[J]. Biosensors and Bioelectronics,2012, 38(1):189-194.