CN105868457A - Modeling method for nitrous oxide kinetic model in sewage biological denitrification process - Google Patents
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- 230000008569 process Effects 0.000 title claims abstract description 20
- 239000010865 sewage Substances 0.000 title claims abstract description 14
- GQPLMRYTRLFLPF-UHFFFAOYSA-N Nitrous Oxide Chemical compound [O-][N+]#N GQPLMRYTRLFLPF-UHFFFAOYSA-N 0.000 title claims description 32
- 239000001272 nitrous oxide Substances 0.000 title claims description 11
- 238000004519 manufacturing process Methods 0.000 claims abstract description 17
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- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 claims description 3
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- 239000001301 oxygen Substances 0.000 claims description 3
- 229910052760 oxygen Inorganic materials 0.000 claims description 3
- 230000035945 sensitivity Effects 0.000 claims description 3
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- CBENFWSGALASAD-UHFFFAOYSA-N Ozone Chemical compound [O-][O+]=O CBENFWSGALASAD-UHFFFAOYSA-N 0.000 description 1
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Abstract
本发明公开了一种污水生物脱氮过程中N2O动力学模型的建模方法，包括以下步骤：（1）全面分析N2O产生机理并利用半反应方程准确表达N2O产生机理；（2）全面分析影响N2O产生的工况条件，确定关键环境因子；（3）基于活性污泥3号模型（ASM3）并根据已确定的半反应方程与关键因子，构建基于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）利用MATLAB数学软件对N2O动力学模型进行动态模拟，并对各类参数进行灵敏度分析，找出对模型影响较大的关键参数并进行修改；（6）利用MATLAB建立N2O动力学模型动态模拟软件；本发明具有对N2O产生机理的表达更加清楚，预测能力更加准确等优点。
The invention discloses a modeling method of an N2O dynamic model in the biological denitrification process of sewage, comprising the following steps: (1) comprehensively analyzing the N2O generation mechanism and accurately expressing the N2O generation mechanism by using a half-reaction equation; (2) Comprehensively analyze the working conditions that affect the production of N 2 O, and determine the key environmental factors; (3) Based on the activated sludge No. 3 model (ASM3) and according to the determined half-reaction equation and key factors, construct a N 2 O dynamics model; (4) Use MATLAB optimization algorithm to estimate and identify unknown parameters in the modeling process, and determine the confidence interval of unknown parameters; (5) Use MATLAB mathematical software to analyze N 2 O dynamics Dynamic simulation of the chemical model, and sensitivity analysis of various parameters, find out the key parameters that have a greater impact on the model and modify it; (6) use MATLAB to establish a dynamic simulation software for the N 2 O dynamic model; The expression of 2 O production mechanism is clearer, and the prediction ability is more accurate.
Description
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 in particular relates to a modeling method for a kinetic model of nitrous oxide in a sewage biological denitrification process.
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. Under certain meteorological conditions, it can also be easily converted into secondary particulate pollutants, thereby aggravating smog. Therefore, N 2 O has a compound pollution effect on the atmospheric environment. The sewage biological treatment process is considered to be one of the important anthropogenic sources of N 2 O production. Therefore, the construction of 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 kinetic model of N 2 O in China. In contrast, foreign studies on N 2 O kinetic models are relatively in-depth, but there are still many problems to be solved, such as insufficient description of N 2 O production pathways and insufficient analysis of key factors affecting N 2 O production In-depth and so on. At the same time, there are relatively few studies on N 2 O production through computer simulation.
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 certain forward-looking and educational value, and it is also a more reasonable basic structure of the activated sludge model at present. And the ASM3 model fully affirms the metabolic model in the form of "hydrolysis→storage→growth→endogenous respiration", which is in line with the current research on the metabolic process of heterotrophic bacteria and autotrophic bacteria in activated sludge. Therefore, the N 2 O kinetic model 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 sewage biological denitrification process to solve the above problems.
发明内容 Contents 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； For this reason, the object of the present invention is to propose a method for modeling the kinetic model of nitrous oxide in the process of biological denitrification of sewage, which is characterized in that it includes the following steps: (1) comprehensively analyzing the generation mechanism and pathway of N2O , Use the half-reaction equation to accurately express the mechanism and pathway of N 2 O production; (2) Comprehensively analyze various working conditions that affect the production of N 2 O, and clarify the key factors that affect various biochemical reactions; (3) Based on activated sludge 3 Model (ASM3) and according to the determined half-reaction equation and key factors, using the relationship between chemometrics and energy conversion, establish the matrix expression form of the model and then establish the N 2 O kinetic model based on ASM3; (4) use MATLAB to Optimize the algorithm, 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 perform dynamic simulation on the N 2 O kinetic model , and conduct sensitivity analysis on the kinetic and chemometric parameters, find out the key parameters that have the greatest impact on the simulation effect of the model and modify them; (6) Based on the MATLAB graphical user interface design, establish a dynamic simulation software for the N 2 O kinetic model;
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 by the invention, a more comprehensive and accurate N2O dynamics model can be established. In addition, according to the modeling method proposed by the present invention, it can 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 bacteria denitrification, NOH chemical analysis, and microbial attenuation 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 operating 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 square 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 i。 Further, the algorithm of the dynamic simulation program 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 described 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 present invention is based on the ASM3 model and utilizes the modeling method of the N2O kinetic model proposed by MATLAB software. The present invention not only fully considers the N 2 O production pathway, but also pays attention to the influence of microbial growth attenuation and main environmental factors on N 2 O production; it not only uses MATLAB software to perform parameter fitting and correction on the model, but also develops N 2 O dynamic simulation software. In addition, the idea of the technical solution of the present invention is clear and simple, and the time and cost of modeling can be greatly saved by rational use of 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 flow chart of a modeling method for a kinetic model of nitrous oxide in the sewage biological denitrification process proposed by the present invention.
具体实施方式 detailed description
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 a 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 N2O kinetic model is elaborated below in conjunction with 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 generation mechanism and pathway of N 2 O, and use the half-reaction equation to accurately express the generation 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, through the analysis and summary of experiments and literature data, it can be known that when environmental conditions affect the activity of NOR biological enzymes, N 2 O will be produced, and the main ways of N 2 O production are AOB denitrification, heterotrophic denitrification, NOH Chemical analysis and microbial decay processes. After the generation mechanism and generation route of N 2 O are clarified, the generation mechanism and generation route of N 2 O can be accurately expressed by using the half-reaction equation.
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 N 2 O production, and identify key environmental factors that affect 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 experiments and literature data, it can be known that the most essential cause of N 2 O generation is the inactivation or activity reduction of NOR biological enzymes. The working conditions and key factors leading to the inactivation or activity reduction of NOR biological enzyme mainly include 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 equation and key factors, using chemometrics and the energy conversion relationship between components, establish the matrix expression form of the model and then establish the ASM3-based N 2 O 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), use the stoichiometric and energy conversion relationship between components to add the material components and reaction rate equations related to N 2 O generation to the framework of the ASM3 model . Furthermore, the N 2 O dynamics model is expressed, and the ASM3 model is expanded 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 constructing the N 2 O dynamics model based on the ASM3 model, use the MATLAB optimization algorithm to fit and solve the unknown parameters in the new model, and obtain the 95% confidence interval of the unknown parameters. 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 conduct sensitivity analysis on the kinetic and chemometric parameters to find out the key that has the greatest impact on the simulation effect of the model parameter and modify it.
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 i。 Specifically, when using MATLAB to perform dynamic simulation of the N 2 O dynamics model, the main programs called 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 j i 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, a dynamic simulation software for the N 2 O kinetic model was 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 dynamics model, integrate the various programs written before, and then use MATLAB to design the graphical user interface to make 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, within the spirit and principles of the present invention, any modifications, equivalent replacements, improvements, etc., shall be included within the protection scope of the present invention.
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| CN109534495A (en) * | 2019-01-21 | 2019-03-29 | 清华大学深圳研究生院 | A kind of sewage water treatment method and system based on microbial gene and organized enzyme |
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| CN109534495A (en) * | 2019-01-21 | 2019-03-29 | 清华大学深圳研究生院 | A kind of sewage water treatment method and system based on microbial gene and organized enzyme |
| CN109534495B (en) * | 2019-01-21 | 2021-08-24 | 清华大学深圳研究生院 | Sewage treatment method and system based on microbial genes and active enzymes |
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