Modification of Roughness Coefficients of Water Distribution Network Using Optimization Method
Due to the breadth and complexity of water distribution networks, modeling of these networks is essential for proper utilization and proper network management. Determination of network coefficients is the more importance in network modeling. Adjustable coefficients of the model include roughness coefficients of pipes and consumption in nodes. Measurable quantities also include pressure in the nodes and flow rate in the pipes.In a good model of the network, it is expected that the pressure and discharge values that are modeled with the values of pressure and discharge of the observations are equal or the least difference. This is done in the form of an optimization model and by setting the coefficients of the model. In this paper, the roughness coefficients of the tubes are determined by assuming that the values of pressure in the network nodes are known. This work is done in the form of an optimization model in MATLAB software. The particle algorithm is used to optimize. The optimization model is located on a relatively large sample network, i.e. the Gepson network, with 30 pipes calibrated.The results showed that the network in the case of non-categorizing the roughness coefficients of the network of pipes, has the optimal local solution with accuracy in the amount of the actual optimal solution. The network has categorized the coefficients of the actual optimal response. The results showed that the proper classification of network pipe coefficients was effective in determining the exact coefficients, especially for large networks.
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Use of Stochastic Differential Equations in Investigating the Uncertainties Related to the Operation of the Activated Sludge Wastewater Treatment Plant
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