Automated calibration of water distribution networks

Apaydın, Öncü
Water distribution network models are widely used for various purposes such as long-range planning, design, operation and water quality management. Before these models are used for a specific study, they should be calibrated by adjusting model parameters such as pipe roughness values and nodal demands so that models can yield compatible results with site observations (basically, pressure readings). Many methods have been developed to calibrate water distribution networks. In this study, Darwin Calibrator, a computer software that uses genetic algorithm, is used to calibrate N8.3 pressure zone model of Ankara water distribution network; in this case study the network is calibrated on the basis of roughness parameter, Hazen Williams coefficient for the sake of simplicity. It is understood that there are various parameters that contribute to the uncertainties in water distribution network modelling and the calibration process. Besides, computer software’s are valuable tools to solve water distribution network problems and to calibrate network models in an accurate and fast way using automated calibration technique. Furthermore, there are many important aspects that should be considered during automated calibration such as pipe roughness grouping. In this study, influence of flow velocity on pipe roughness grouping is examined. Roughness coefficients of pipes have been estimated in the range of 70-140.


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Gençoğlu, Gençer; Merzi, Nuri; Department of Civil Engineering (2015)
From design stage to operation, water distribution networks hold the vital part of the infrastructure systems. Pumps contain significant operational consumptions by pumping and maintenance costs. Wise scheduling is an important tool that may decrease these costs. Leakage, defined as a portion of treated and pumped water; and through a typical water distribution network, it may possess a large percentage of the total water supplied. Pressure heads within the water distribution network are one of the major ca...
New methodologies for optimal operation of water distribution systems for water quality purposes
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Calibration of water distribution networks
Ar, Kerem; Merzi, Nuri; Department of Civil Engineering (2011)
Water distribution network models are used for different purposes. In this study, a model, used for daily operational issues is concerned. Models results should be consistent with actual conditions for sound decisions during operational studies. Adjusting model parameters according to site measurements in order to fit the model to obtain realistic results is known as calibration. Researchers have carried out numerous studies on calibration and developed various methods. In this study, an actual network (N8....
Spatial data analysis for monitoring and prediction of selected water quality parameters in reservoirs: Porsuk Dam reservoir case
Yenilmez, Firdes; Aksoy, Ayşegül; Düzgün, H. Şebnem; Department of Environmental Engineering (2014)
In the design of a water quality monitoring network, selection of water quality sampling locations is crucial to adequately represent the water quality of the water body when high costs of analyses and field work are taken into account. In this study, a new approach was proposed to identify the representative water quality sampling locations in reservoirs and lakes using geostatistical tools for estimation of spatial distribution of selected water quality parameters. To do so, kernel density estimation (KDE...
Evaluation of performance and optimum valve settings for pressure management using forecasted daily demand curves by artificial neural networks
Yıldız, Evren; Merzi, Nuri; Department of Civil Engineering (2011)
For the appropriate operation and correct short term planning, daily demand curve (DDC) of municipal water distribution networks should be forecasted beforehand. For that purpose, artificial neural networks (ANN) is used as a new method. The proposed approach employs already recorded DDCs extracted from the database of ASKI (Ankara Water Authority) SCADA center and related independent parameters such as temperature and relative humidity obtained from DMI (State Meteorological Institute). In this study, a co...
Citation Formats
Ö. Apaydın, “Automated calibration of water distribution networks,” M.S. - Master of Science, Middle East Technical University, 2013.