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Calibration and Monitoring for Water Distribution Quality Modeling

Author: WangHongXiang
Tutor: ZhangTuQiao;David Z.Zhu
School: Zhejiang University
Course: Municipal Engineering
Keywords: Water supply network Water quality model Correction The Free Chlorine attenuation coefficient Uncertainty Sampling point layout Secondary chlorination
CLC: TU991.2
Type: PhD thesis
Year: 2009
Downloads: 624
Quote: 4
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Abstract


This paper around to the problem of water quality in water model calibration related basic research, and discuss the related issues of water quality monitoring of secondary chlorination station layout. First, based on the hybrid theory of multi-component material, the use of EPANET2.0 EPANET-MSX tools package programming simulation calculation, the uncertainty analysis using Monte Carlo simulation method the main parameters affecting water quality model accuracy, the results show that each water main residual chlorine water attenuation the coefficient K_b and wall residual chlorine the attenuation coefficient K_w compared to other parameters node residual chlorine concentration of the water quality model uncertainty greater impact; Based on this, two different water flow in water quality determine the estimated mixed run of each pipe segment main flow of residual chlorine attenuation coefficient in the pipe network, and multiple water main water supply pipe network pipeline flow residual chlorine attenuation coefficient of determination was based on the method of expansion, after count Example verification shows that the study a more efficient method for the determination of the pipe network water quality model in the main flow of residual chlorine attenuation coefficient; wall residual chlorine level attenuation model, the establishment of a multi-condition wall residual chlorine attenuation coefficient correction optimization model, the Max-Min ant colony algorithm for solving water supply Webmaster wall residual chlorine attenuation coefficient correction mathematical models, numerical example shows to school positive model for the correctness of the method and feasibility, to more accurately describe the pipe network water quality model to better address water quality issues, and provide a new avenue of research. Secondly, based on the D-optimization method and first order second moment (FOSM) theory, quantitative study of the problem to the uncertainty of the water quality in water model wall residual chlorine attenuation coefficients and model predictive value, studies have shown that larger node flow uncertainty, the acquisition of correction data derived correction parameters is relatively small, the model prediction uncertainty is relatively large, the water supply network water quality model uncertainty study for a water quality model system comprehensive correction provides the basis and method; uncertainty of the model parameters and model predictions based on water quality, the uncertainty of the model parameters the minimum and sampling point design spend minimum objective function, the sampling points of the water quality model calibration to optimize the arrangement of multi-objective mathematical model using NSGA- II multi-objective genetic algorithm solving the model study. The results show that the method is feasible and effective by a numerical example, has a certain reference value for the sampling design problem of water quality model calibration. Meet water quality standard again, confessed to the pipe network as the objective function, combined with some of the impact of chlorination station layout principle, the establishment of a mathematical model of the secondary chlorination site, using particle swarm optimization algorithm on a secondary chlorination point layout optimization optimize the site, and have achieved good results; introduction of a concentration of residual chlorine from water organic reactions attenuation of water quality simulation model, the the total chlorination amount of the pipeline network, including water sources, including chlorination station minimum target function, consider the node residual chlorine concentration after the reaction of residual chlorine with organic matter and the corresponding concentration of byproducts to meet the requirements as constraints, the secondary chlorination dosage optimization model, the model of genetic algorithm optimization solution. Based on the theory of the chlorine concentration value of the water quality of the pipe network service level, on the secondary chlorination before and after the pipe network water quality level of service situation evaluation, the results showed that the secondary chlorination station optimization results relative not set secondary before chlorination station, not only to improve service levels, effectively reducing the total amount of investment and chlorination, and avoid excessive residual chlorine and the possible negative role for the water quality model of the pipe network and water quality monitoring and management run a reference basis. Finally, the identification and correction of the pipe network water quality model of the attenuation coefficient of the main residual chlorine attenuation coefficient and wall residual chlorine in the case study, the sampling points based on water quality model calibration to optimize the layout problem solving, and water quality model in an accurate correction After secondary chlorination station pipe network optimization of site selection and dosage program optimization, analysis calculation results show that the models and methods of this paper has good practicality.

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CLC: > Industrial Technology > Building Science > Municipal Engineering > Water supply project ( on the Water Works ) > Clean Water ( water treatment )
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