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CN105868457B - The modeling method of nitrous oxide kinetic model during a kind of bio-denitrifying sewage - Google Patents

The modeling method of nitrous oxide kinetic model during a kind of bio-denitrifying sewage Download PDF

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CN105868457B
CN105868457B CN201610179074.5A CN201610179074A CN105868457B CN 105868457 B CN105868457 B CN 105868457B CN 201610179074 A CN201610179074 A CN 201610179074A CN 105868457 B CN105868457 B CN 105868457B
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张守彬
刘玉田
邱立平
张媛媛
王嘉斌
谢康
钟敬秀
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University of Jinan
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Abstract

The invention discloses N during a kind of bio-denitrifying sewage2The modeling method of O kinetic model, comprising the following steps: (1) analyze N comprehensively2O mechanism of production simultaneously accurately expresses N using half-reaction equation2O mechanism of production;(2) comprehensive analyzing influence N2The working condition that O is generated, determines key environmental factors;(3) based on No. 3 models (ASM3) of activated sludge and according to fixed half-reaction equation and key factor, the N based on ASM3 is constructed2O kinetic model;(4) MATLAB optimization algorithm is utilized, parameter Estimation is carried out to the unknown parameter in modeling process and parameter identifies, and determines the confidence interval of unknown parameter;(5) using MATLAB mathematical software to N2O kinetic model carries out dynamic analog, and carries out sensitivity analysis to all kinds of parameters, find out the key parameter being affected to model and modify;(6) N is established using MATLAB2O kinetic model dynamic simulation software;The present invention has to N2The advantages that expression of O mechanism of production is clearer, and predictive ability is more accurate.

Description

一种污水生物脱氮过程中氧化亚氮动力学模型的建模方法A Modeling Method for Nitrous Oxide Kinetic Model in the Process of Biological Denitrification of Sewage

技术领域technical field

本发明属于污水生物处理与资源化技术领域,特别涉及一种污水生物脱氮过程氧化亚氮动力学模型的建模方法。The invention belongs to the technical field of sewage biological treatment and resource utilization, and particularly relates to a modeling method for a nitrous oxide kinetic model in the biological denitrification process of sewage.

背景技术Background technique

氧化亚氮(N2O)作为一种强温室气体,可引起臭氧层的破坏并促进酸雨形成,在一定的气象条件下也很容易转化为二次颗粒污染物从而加重雾霾。因此N2O对大气环境具有复合污染效应。污水生物处理过程被认为是N2O产生的重要人为来源之一。因此,基于N2O产生机理构建N2O动力学模型具有重要的理论研究意义和工程应用价值。As a strong greenhouse gas, nitrous oxide (N 2 O) can cause the destruction of the ozone layer and promote the formation of acid rain. It is also easily converted into secondary particulate pollutants under certain meteorological conditions, thereby aggravating haze. Therefore, N 2 O has a compound pollution effect on the atmospheric environment. The biological treatment of sewage is considered to be one of the important anthropogenic sources of N 2 O production. Therefore, the construction of the N 2 O kinetic model based on the N 2 O generation mechanism has important theoretical research significance and engineering application value.

目前国内仍未出现专门针对N2O动力学模型的研究。相比之下,国外针对N2O动力学模型的研究较为深入,但依然存在诸多亟待解决的问题,例如对N2O的产生途径描述不够全面、对影响N2O产生的关键因子分析不够深入等。与此同时,通过计算机模拟N2O产生量的研究也相对较少。At present, there is no research on the N 2 O kinetic model in China. In contrast, foreign research on the N 2 O kinetic model is relatively in-depth, but there are still many problems to be solved, such as insufficient description of the N 2 O generation pathway and insufficient analysis of the key factors affecting N 2 O production. In-depth and so on. At the same time, there are relatively few studies on computer simulation of N 2 O production.

由于ASM3号模型是国际水协提出的最新版活性污泥模型,具有一定的前瞻性与教育价值,同时也是目前更为合理的活性污泥模型基本架构。并且ASM3号模型充分肯定了“水解→储存→生长→内源呼吸作用”形式的代谢模式,符合当前对活性污泥中异养菌和自养菌代谢过程的研究。因此,基于ASM3建立的N2O动力学模型将具有机理表达更加清楚、描述半反应过程更加细致、模型预测能力更加准确等优点。基于上述分析,本发明提出了一种污水生物脱氮过程N2O动力学模型的建模方法以解决以上问题。Since the ASM3 model is the latest version of the activated sludge model proposed by the International Water Association, it has a certain forward-looking and educational value, and is also a more reasonable basic structure of the activated sludge model. And the ASM3 model fully affirmed the metabolic pattern of "hydrolysis→storage→growth→endogenous respiration", which is in line with the current research on the metabolic process of heterotrophic and autotrophic bacteria in activated sludge. Therefore, the N 2 O kinetic model established based on ASM3 will have the advantages of clearer mechanism expression, more detailed description of the half-reaction process, and more accurate model prediction ability. Based on the above analysis, the present invention proposes a modeling method for the N 2 O kinetic model of the biological denitrification process of sewage to solve the above problems.

发明内容SUMMARY OF THE INVENTION

本发明旨在解决上述问题。The present invention aims to solve the above-mentioned problems.

为此,本发明的目的在于提出了一种污水生物脱氮过程氧化亚氮动力学模型的建模方法,其特征在于包括以下步骤:(1)全面分析N2O的产生机理与产生途径,利用半反应方程式准确表达N2O的产生机理与途径;(2)全面分析影响N2O产生的各类工况条件,明确影响各类生化反应的关键因子;(3)基于活性污泥3号模型(ASM3)并根据已确定的半反应方程式与关键因子,利用化学计量学与能量转化关系,建立模型的矩阵表达形式进而建立基于ASM3的N2O动力学模型;(4)利用MATLAB最优化算法,对建模过程中的未知参数进行参数估计与参数识别,并确定未知参数的置信区间;(5)在参数确定之后,利用MATLAB数学软件编写程序对N2O动力学模型进行动态模拟,并对动力学和化学计量学参数进行灵敏度分析,找出对模型模拟效果影响最大的关键参数并进行修改;(6)基于MATLAB图形用户界面设计,建立N2O动力学模型动态模拟软件;Therefore, the purpose of the present invention is to propose a modeling method for the kinetic model of nitrous oxide in the biological denitrification process of sewage, which is characterized by comprising the following steps: (1) comprehensively analyze the production mechanism and production path of N 2 O, Use the half-reaction equation to accurately express the mechanism and way of N 2 O production; (2) Comprehensively analyze various working conditions that affect the production of N 2 O, and clarify the key factors affecting various biochemical reactions; (3) Based on activated sludge3 No. model (ASM3) and according to the determined half-reaction equations and key factors, using the relationship between stoichiometry and energy conversion, the matrix expression form of the model is established, and then the N 2 O kinetic model based on ASM3 is established; (4) Using MATLAB to optimize The optimization algorithm is used to estimate and identify the unknown parameters in the modeling process, and determine the confidence interval of the unknown parameters; (5) After the parameters are determined, use MATLAB mathematical software to write a program to dynamically simulate the N 2 O kinetic model , and conduct sensitivity analysis on kinetic and chemometric parameters to find out the key parameters that have the greatest impact on the model simulation effect and modify them; (6) Based on the MATLAB graphical user interface design, the dynamic simulation software of N 2 O kinetic model is established;

根据本发明提出的模型建立方法,可以建立更加全面、准确的N2O动力学模型。另外,根据本发明所提出的建模方法,还可具有如下附加技术特征:According to the model establishment method proposed in the present invention, a more comprehensive and accurate N 2 O kinetic model can be established. In addition, the modeling method proposed by the present invention may also have the following additional technical features:

进一步的,步骤(1)中所述的N2O的产生途径有AOB反硝化、异养菌反硝化、NOH化学分析、微生物衰减过程。Further, the N 2 O production pathways described in step (1) include AOB denitrification, heterotrophic denitrification, NOH chemical analysis, and microbial decay processes.

进一步的,步骤(2)中所述的工况条件与关键因子有溶解氧、pH值、温度、COD/N比、NO2 -浓度。Further, the working conditions and key factors described in step (2) include dissolved oxygen, pH value, temperature, COD/N ratio, and NO 2 -concentration .

进一步的,步骤(4)中所述的MATLAB最优化算法为非线性最小二乘法,并可得到95%的置信区间。Further, the MATLAB optimization algorithm described in step (4) is a nonlinear least squares method, and a 95% confidence interval can be obtained.

进一步的,步骤(5)中所述的动态模拟程序算法为四五阶Runge-Kutta算法和基于数值差分的可变阶算法(BDFs,Gear);所述的灵敏度分析为最常用的相对灵敏度函数Sj iFurther, the dynamic simulation program algorithm described in step (5) is the fourth and fifth order Runge-Kutta algorithm and the variable order algorithm (BDFs, Gear) based on numerical difference; the sensitivity analysis is the most commonly used relative sensitivity function. S j i .

本发明是基于ASM3号模型并利用MATLAB软件提出的N2O动力学模型的建模方法。本发明既全面考虑了N2O产生途径,也注重微生物生长衰减和主要环境因素对N2O产生的影响;既利用MATLAB软件对模型进行参数拟合和矫正,也开发了N2O动态模拟软件。此外,本发明技术方案思路清晰简单,通过合理利用MATLAB软件可大大节约建模时间和成本。The invention is a modeling method of N 2 O dynamic model based on ASM No. 3 model and using MATLAB software. The present invention not only comprehensively considers the N 2 O production pathway, but also pays attention to the influence of microorganism growth attenuation and main environmental factors on the N 2 O production; not only uses MATLAB software to fit and correct the parameters of the model, but also develops N 2 O dynamic simulation software. In addition, the technical solution of the present invention has a clear and simple idea, and the modeling time and cost can be greatly saved by rationally using the MATLAB software.

附图说明Description of drawings

图1是本发明提出的一种污水生物脱氮过程氧化亚氮动力学模型的建模方法的流程示意图。FIG. 1 is a schematic flowchart of a modeling method for a nitrous oxide kinetic model in a biological denitrification process of sewage proposed by the present invention.

具体实施方式Detailed ways

图1是本发明提出的一种污水生物脱氮过程氧化亚氮动力学模型的建模方法的流程示意图,以下结合附图详细阐述N2O动力学模型的建模方法中各个步骤:Fig. 1 is the schematic flow chart of the modeling method of the nitrous oxide kinetic model of a kind of sewage biological denitrification process proposed by the present invention, and each step in the modeling method of the N 2 O kinetic model is described in detail below with reference to the accompanying drawings:

步骤(1):全面分析N2O的产生机理与产生途径,利用半反应方程式准确表达N2O的产生机理与途径。Step (1): Comprehensively analyze the production mechanism and production pathway of N 2 O, and use the half-reaction equation to accurately express the production mechanism and pathway of N 2 O.

具体的,通过分析总结实验和文献数据可知,当环境条件影响NOR生物酶的活性时会导致N2O的产生,并且N2O的产生途径主要有AOB反硝化、异养菌反硝化、NOH化学分析和微生物衰减过程。在明确了N2O的产生机理与产生途径之后,即可利用半反应方程式准确表达出N2O的产生机理与产生途径。Specifically, by analyzing and summarizing experimental and literature data, it can be seen that when environmental conditions affect the activity of NOR biological enzymes, N 2 O will be produced, and the main pathways of N 2 O production are AOB denitrification, heterotrophic denitrification, NOH Chemical analysis and microbial decay processes. After the production mechanism and production route of N 2 O are clarified, the half reaction equation can be used to accurately express the production mechanism and production route of N 2 O.

步骤(2):全面分析影响N2O产生的各类工况条件,明确影响各类生化反应的关键环境因子。Step (2): Comprehensively analyze various working conditions that affect the production of N 2 O, and clarify the key environmental factors affecting various biochemical reactions.

具体的,通过分析总结实验和文献数据可知,导致N2O产生最本质的原因即NOR生物酶失活或活性降低。而导致NOR生物酶失活或活性降低的工况条件和关键因子主要有溶解氧、pH值、温度、COD/N比、NO2 -浓度。Specifically, by analyzing and summarizing experimental and literature data, it can be known that the most essential reason for the production of N 2 O is the inactivation or activity reduction of NOR biological enzymes. The main working conditions and key factors that lead to the inactivation or activity reduction of NOR biological enzymes are dissolved oxygen, pH value, temperature, COD/N ratio, and NO 2 -concentration .

步骤(3):基于活性污泥3号模型(ASM3)并根据已确定的半反应方程式与关键因子,利用化学计量学与组分间能量转化关系,建立模型的矩阵表达形式进而建立基于ASM3的N2O动力学模型。Step (3): Based on the activated sludge model No. 3 (ASM3) and according to the determined half-reaction equations and key factors, using the relationship between stoichiometry and energy conversion between components, the matrix expression form of the model is established, and then the ASM3-based model is established. N2O kinetic model.

具体的,在完成步骤(1)和步骤(2)之后,利用化学计量学与组分间能量转换关系,在ASM3号模型的架构中增加与N2O产生有关的物质组分和反应速率方程。进而表达N2O动力学模型,同时ASM3号模型得到相应的扩展。Specifically, after completing steps (1) and (2), using the relationship between stoichiometry and energy conversion between components, the material components and reaction rate equations related to the production of N 2 O are added to the framework of the ASM3 model. . The N 2 O kinetic model was then expressed, and the ASM3 model was extended accordingly.

步骤(4):利用MATLAB最优化算法,对建模过程中的未知参数进行参数估计与参数识别,并确定未知参数的置信区间。Step (4): Use the MATLAB optimization algorithm to estimate and identify the unknown parameters in the modeling process, and determine the confidence interval of the unknown parameters.

具体的,在构建完基于ASM3模型的N2O动力学模型后,利用MATLAB最优化算法,对新建模型中的未知参数进行拟合求解,并得到未知参数95%的置信区间。其应用的主要算法为非线性最小二乘法。Specifically, after building the N 2 O kinetic model based on the ASM3 model, the MATLAB optimization algorithm was used to fit and solve the unknown parameters in the new model, and the 95% confidence interval of the unknown parameters was obtained. The main algorithm of its application is the nonlinear least squares method.

步骤(5):在参数确定之后,利用MATLAB数学软件编写程序对N2O动力学模型进行动态模拟,并对动力学和化学计量学参数进行灵敏度分析,找出对模型模拟效果影响最大的关键参数并进行修改。Step (5): After the parameters are determined, use MATLAB mathematical software to write a program to dynamically simulate the N 2 O kinetic model, and perform sensitivity analysis on the kinetic and chemometric parameters to find out the key that has the greatest impact on the model simulation effect. parameters and modify them.

具体的,利用MATLAB对N2O动力学模型进行动态模拟时,主要调用的程序为四五阶Runge-Kutta算法和基于数值差分的可变阶算法(BDFs,Gear)。当对参数进行灵敏度分析时,主要运用的是相对灵敏度函数Sj iSpecifically, when using MATLAB for dynamic simulation of the N 2 O dynamic model, the main programs invoked are the fourth- and fifth-order Runge-Kutta algorithm and the variable-order algorithm based on numerical difference (BDFs, Gear). When performing sensitivity analysis on parameters, the relative sensitivity function S ji is mainly used .

步骤(6):基于MATLAB图形用户界面设计,建立N2O动力学模型动态模拟软件。Step (6): Based on the MATLAB graphical user interface design, the dynamic simulation software of the N 2 O kinetic model is established.

具体的,当完成N2O动力学模型建立的各项基本工作之后,将之前编写的各类程序进行整合,再利用MATLAB进行图形用户界面设计,使模型与用户的交互方式更加简单便捷。Specifically, after completing the basic work of establishing the N 2 O dynamic model, the various programs written before were integrated, and then MATLAB was used to design the graphical user interface, which made the interaction between the model and the user more simple and convenient.

以上所述,仅是本发明的较佳实施例,并非用于限定本发明的保护范围。因此凡在本发明的精神和原则之内,所做的任何修改、等同替换、改进等,均应包含在本发明的保护范围之内。The above descriptions are only preferred embodiments of the present invention, and are not intended to limit the protection scope of the present invention. Therefore, any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims (1)

1. a kind of modeling method of bio-denitrifying sewage process nitrous oxide kinetic model, which is characterized in that including following step It is rapid:
Step (1): N is analyzed comprehensively2The mechanism of production and the way of production of O, accurately expresses N using half-reaction equation2The generation of O Mechanism and approach;
Specifically, will lead to N when the activity of environmental influence NOR biological enzyme2The generation of O, and N2The way of production master of O There are AOB denitrification, heterotroph denitrification, NOH chemical analysis and microorganism attenuation process;Specifying N2The mechanism of production of O After the way of production, i.e., N is accurately given expression to using half-reaction equation2The mechanism of production and the way of production of O;
Step (2): comprehensive analyzing influence N2All kinds of working conditions that O is generated, clearly influence the critical environments of all kinds of biochemical reactions because Son;
Specifically, leading to N2O generates most essential reason, that is, NOR biological enzyme inactivation or activity and reduces, and NOR biological enzyme is caused to lose The working condition and key factor that living or activity reduces mainly have dissolved oxygen, pH value, temperature, COD/N ratio, NO2 -Concentration;
Step (3): based on No. 3 models (ASM3) of activated sludge and according to fixed half-reaction equation and key factor, benefit With energy transforming relationship between Chemical Measurement and component, establishes the expression matrix form of model and then establish the N based on ASM32O Kinetic model;
Specifically, after completing step (1) and step (2), using energy conversion relation between Chemical Measurement and component, Increase and N in the framework of ASM3 model2O generates related material composition and reaction rate equation, and then expresses N2O dynamics Model, while ASM3 model is extended accordingly;
Step (4): utilizing MATLAB optimization algorithm, carries out parameter Estimation to the unknown parameter in modeling process and parameter is known Not, and determine unknown parameter confidence interval;
Specifically, having constructed the N based on ASM3 model2After O kinetic model, using MATLAB optimization algorithm, to new modeling Unknown parameter in type is fitted solution, and obtains the confidence interval of unknown parameter 95%;The MATLAB optimization algorithm is Nonlinear least square method;
Step (5): after parameter determines, program is write to N using MATLAB mathematical software2O kinetic model carries out dynamic analog It is quasi-, and sensitivity analysis is carried out to dynamics and Chemical Measurement parameter, it finds out to the maximum key of modeling influential effect Parameter is simultaneously modified;
Specifically, using MATLAB to N2When O kinetic model carries out dynamic analog, the program mainly called is four or five ranks Runge-Kutta algorithm and variable order algorithm (BDFs, Gear) based on diff;When to parameter progress sensitivity analysis When, that mainly use is relative sensitivity function Sj i
Step (6): it is based on MATLAB GUI Design, establishes N2O kinetic model dynamic simulation software.
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