Alvisi, S. & Franchini, M. 2010. Calibration and sensitivity analysis of the C-Town pipe network model. In Water Distribution Systems Analysis, 2010,1573-1584.
Dini, M. & Tabesh, M. 2014. A new method for simultaneous calibration of demand pattern and Hazen-Williams coefficients in water distribution systems. Water Resources Management, 28, 2021-2034.
Kang, D. & Lansey, K. 2011. Demand and roughness estimation in water distribution systems. Journal of Water Resources Planning and Management, 137, 20-30.
Meirelles, G., Manzi, D., Brentan, B., Goulart, T. & Luvizotto, E. 2017. Calibration model for water distribution network using pressures estimated by artificial neural networks. Water Resources Management, 31, 4339-4351.
Nicolini, M., Giacomello, C. & Deb, K. 2011. Calibration and optimal leakage management for a real water distribution network. Journal of Water Resources Planning and Management, 137, 134-142.
Sophocleous, S., Savić, D. A., Kapelan, Z. & Giustolisi, O. 2017. A two-stage calibration for detection of leakage hotspots in a real water distribution network. Procedia Engineering, 186, 168-176.
Sumer, D. Y., Sier, D. A., Roach, J., Schladweiler, S., Yenal, U. & Lansey, K. 2004. Impact of data collection and calibration of water distribution models on model-based decisions. Critical Transitions in Water and Environmental Resources Management, 1-7.
Tyagi, D. K., Majumder, M., Kant, C. & Singh, A. P. 2018. Estimation of Hazen Williams’s constant for a residential water distribution network; GMDH and PSO approach. International Journal of Engineering and Technology, 7, 92-99.
Walski, T. M., Defrank, N., Voglino, T., Wood, R. & Whitman, B. E. 2008. Determining the accuracy of automated calibration of pipe network models. In Water Distribution Systems Analysis Symposium, 2006,
1-18. Cincinnati, Ohio, USA.
Wu, Z. Y., Arniella, E. F. & Gianella, E. 2004. Darwin calibrator-improving project productivity and model quality for large water systems. Journal of AWWA, 96, 27-34.
Xie, X., Zhang, H. & Hou, D. 2017. Bayesian approach for joint estimation of demand and roughness in water distribution systems. Journal of Water Resources Planning and Management, 143, 04017034.
Zhang, Q., Zheng, F., Duan, H. F., Jia, Y., Zhang, T. & Guo, X. 2018. Efficient numerical approach for simultaneous calibration of pipe roughness coefficients and nodal demands for water distribution systems. Journal of Water Resources Planning and Management, 144, 04018063.