Battle of the Water Calibration Networks

作者：Avi Ostfeld, Elad Salomons, Lindell Ormsbee, James G. Uber, Christopher M. Bros, Paul Kalungi, Richard Burd, Boguslawa Zazula-Coetzee, Teddy Belrain, Doosun Kang, Kevin Lansey, Hailiang Shen, Edward A. McBean, Zheng Yi Wu, Tom Walski, Stefano Alvisi, Marco Franchini, Joshua P. Johnson, Santosh R. Ghimire, Brian D. Barkdoll, Tiit Koppel, Anatoli Vassiljev, Joong Hoon Kim, Gunhui Chung, Do Guen Yoo, Kegong Diao, Yuwen Zhou, Ji Li, Zilong Liu, Kui Chang, Jinliang Gao, Shaojian Qu, Yixing Yuan, T. Devi Prasad, Daniele Laucelli, Lydia S. Vamvakeridou Lyroudia, Zoran Kapelan, Dragan Savić, Luigi Berardi, Giuseppe Barbaro, Orazio Giustolisi, Masoud Asadzadeh, Bryan A. Tolson, Robert McKillop · 发表于：Journal of Water Resources Planning and Management · 年份：2011 · DOI：10.1061/(asce)wr.1943-5452.0000191 · 被引用次数：193 · 研究领域：Water Systems and Optimization、Urban Stormwater Management Solutions、Water Treatment and Disinfection

Calibration is a process of comparing model results with field data and making the appropriate adjustments so that both results agree. Calibration methods can involve formal optimization methods or manual methods in which the modeler informally examines alternative model parameters. The development of a calibration framework typically involves the following: (1) definition of the model variables, coefficients, and equations; (2) selection of an objective function to measure the quality of the calibration; (3) selection of the set of data to be used for the calibration process; and (4) selection of an optimization/manual scheme for altering the coefficient values in the direction of reducing the objective function. Hydraulic calibration usually involves the modification of system demands, fine-tuning the roughness values of pipes, altering pump operation characteristics, and adjusting other model attributes that affect simulation results, in particular those that have significant uncertainty associated with their values. From the previous steps, it is clear that model calibration is neither unique nor a straightforward technical task. The success of a calibration process depends on the modeler’s experience and intuition, as well as on the mathematical model and procedures adopted for the calibration process. This paper provides a summary of the Battle of the Water Calibration Networks (BWCN), the goal of which was to objectively compare the solutions of different approaches to...