Study On Correction Of Chlorine Decay Coefficient In Networks Based On GASA Algorithm

According to the Sanitary Standard for Drinking Water (GB5749-2006), residualchlorine concentration is an important indicator reflecting the pipe network water quality.Therefore, it is an effective measure to improve the water quality by studying the residualchlorine concentration. Nowadays, existing researches obtain the residual chlorineconcentration by residual chlorine decay model, in which the chlorine wall decay coefficientkwis a important factor to determine the residual chlorine concentration on pipe network. Thetraditional methods need to experiment on pipes with different diameters and materials toobtain kw, which is time-consuming and not accurate. Thus, it has become a hotspot forresearchers to find a simple and universal way to correct the chlorine wall decay coefficientkw. At the same time, it is the effective way to improve the pipe network water quality.Recently, the Genetic Algorithm is widely used in the combined correction due to itsstrong robustness. But there are also the premature convergence and poor local search abilityof some shortcomings. Meanwhile, the adoption of Simulated Annealing Algorithm caneffectively overcome the flaws in GA. Therefore, in this paper we use GASA algorithm tocorrect the chlorine wall decay coefficient. The algorithm is applied to the chlorine wall decaycoefficient correction, according to different regions and different periods of water quality,which calculate reasonable chlorine quantity in time to save the cost of water production. Itprovides decision support for the enterprises based on management control system ofhydraulic and water quality and reliable water supply.The research emphasized on the following aspects:(1) Discuss and analyze the theory of GA and its advantages/disadvantages. Adopt SAAlgorithm to solve the prematurity and local optimal solution problems of GA. At the sametime, this paper expatiates on the improvement of GA. The combination of them produces abetter GASA algorithm.(2) Study the residual chlorine decay model of pipe network and correct the chlorine walldecay coefficient by GASA algorithm. Use Visual C++6.0to call EPANET dynamic databaseand program the correction model.(3) The model is simulated by the sample data provided by water supply networksimulation control system of Guangzhou University City and compared with regular method.The results indicate that GASA algorithm is more suitable for correcting chlorine wall decaycoefficient.