Water Quality And Quantity Distribution Of Urban Sewage Collection And Treatment System And Numerical Simulation

Municipal sewage collection systems and wastewater treatment systems play an important role in protecting the public environment and health.In view of the current sewage collection systems and treatment systems,the lack of actual pipe network data support in the planning and design and actual operation management process,and some key parameters are difficult to achieve.The problem of dynamic measurement and prediction.This project intends to analyze and numerically analyze the water quality and water quantity change rules in Shenzhen's sewage collection system and wastewater treatmentsystem based on the measured water quality and quantity data of the pipe network.The impact of the wastewater treatment plant and its countermeasures are proposed through simulation.The water quality and quantity distribution of the sewage pipe network was analyzed and numerically simulated.The research shows that under different drainage systems,different time periods,and different functional areas,there are certain similarities in the changes in flow and water quality in the sewage pipeline network,and the concentration of pollutants in the diversion system is generally higher than the pollutants in the combined system.High concentration;simulation and prediction of difficult-to-monitor indicators(BOD5 and TN)are achieved through soft measurement methods;simulation and prediction of water qualit y indicators for special periods are achieved by constructing ARIMA models,and the correlation coefficient is 0.68,indicating that the ARIMA model can basically be implemented It has good prediction ability for numerical simulation of measured water changes.The variation of water quality and water quantity in the wastewater treatment system was analyzed and the effluent water quality was simulated.The research shows that the water quality and quantity fluctuations of the SY wastewater treatment plant during the dry and rainy seasons are more obvious than those of the FT wastewater treatment plant.The ASM mathematical model of the wastewater treatment plant is constructed by Bio Win,and the numerical simulation of the effluent water quality of the SY wastewater treatment plant is realized.Actual operation.Based on the analysis and numerical simulation of the water quality and quantity of sewage pipes and sewage plants,the SY wastewater treatment plant was selected as the simulation object.Based on the mathematical regression method and neural network method,the inflow water quantity was predicted fro m the water data of 13 upstream nodes in the service area of the sewage plant.The correlation coefficient predicted by the neural network was better than the correlation coefficient predicted by the multiple regression.The performance of neural network prediction was better.The influence of the influent water quantit y and water quality fluctuation of the wastewater treatment plant on the operation effect of the wastewater treatment plant was studied.In order to cope with the impact of the fluctuation of the water quality and water quantity on the wastewater treatment plant,the corresponding response strategy was studied by simulating and optimizing the operating parameters: such as the concentration of influent pollutants during the Spring Festival In the case of low and small amount of water,you can replenwash the carbon source in moderation and add a small amount of PAC.When the water intake TN and TP exceed the standard,you can increase the aerobic tank DO and increase the dosage of PAC and carbon source to optimize process operating parameters to ensure that the effluent quality of the wastewater treatment plant meets the discharge standards.