城镇污水进水COD的预测模型与工业应用  

Prediction Model and Its Industrial Application of Influent COD in Urban Sewage

作　　者：胡雨沙 李继庚[1] 洪蒙纳[1] 满奕[1] 刘梦茹[1] 吴志京 HU Yusha;LI Jigeng;HONG Mengna;MAN Yi;LIU Mengru;WU Zhijing(School of Light Industry and Engineering, South China University of Technology,Guangzhou 510640,China;Qingyuan Yuan Tan Wastewater Treatment Plant, Guangye Environmental Protection Industry Group,Qingyuan 51150,China)

机构地区：[1]华南理工大学制浆造纸工程国家重点实验室,广东广州510640 [2]广业环保集团清远市源潭污水处理厂,广东清远51150

出　　处：《造纸科学与技术》2019年第1期64-69,共6页Paper Science & Technology

基　　金：广东省科技计划项目(2015B010110004);中央高校基本科研业务费专项资金资助(2017BQ023);制浆造纸工程国家重点实验室开放基金(201830)

摘　　要：以清远某污水处理厂为例,通过其进水量(包含进水COD、进水酸碱度、进水氨氮、进水水温)的相关数据建立VAR模型,得出了进水COD与进水pH、进水氨氮和进水水温之间的长期均衡关系和相互影响的动态机制。实证结果表明:选取的变量之间,进水氨氮对进水COD的影响较大,而水温则对进水氨氮有一定的影响作用。同时,结合本论文的研究,证明了VAR模型在该污水厂污水进水COD预测的可行性。并在进水COD预测结果的基础上,建立了前馈-反馈控制系统,可以减少该污水厂7.1%的运行成本。The VAR model was established by the relevant data of water inflow(including influent COD, water pH, water ammonia nitrogen, water temperature) in a sewage treatment plant in Qingyuan, and obtained the dynamic mechanism of the long-term equilibrium relationship and influencing effect between influent COD and influent pH, influent ammonia nitrogen and influent water temperature. The empirical results show that the influent ammonia nitrogen has a great influence on the influent COD, and the water temperature has a certain effect on the influent ammonia nitrogen. At the same time, combined with the study of this paper, it also proved that the VAR model is feasible to predict the influent COD in the sewage treatment.

关 键 词：计算机模拟 预测 废物处理 污水 COD 

分 类 号：X703.1[环境科学与工程—环境工程]