Browsing by Author "Li, J."
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Item Metadata only Automating business intelligence recovery from a web-based system.(2010) Kang, Jian; Li, J.; Huang, J.; Tian, Y.; Yang, HongjiItem Embargo Battle of the Water Calibration Networks(ASCE, 2011) Ostfeld, A.; Salomons, E.; Ormsbee, L.; Uber, J.; Bros, C.; Kalungi, P.; Burd, R.; Zazula-Coetzee, B.; Belrain, T.; Kang, D.; Lansey, K.; Shen, H.; McBean, E.; Yi Wu, Z.; Walski, T.; Alvisi, S.; Franchini, M.; Johnson, J.; Ghimire, S.; Barkdoll, B.; Koppel, T.; Vassiljev, A.; Kim, J.; Chung, G.; Yoo, D.; Diao, Kegong; Zhou, Y.; Li, J.; Liu, Z.; Chang, K.; Gao, J.; Qu, S.; Yuan, Y.; Prasad, T.; Laucelli, D.; Vamvakeridou Lyroudia, L.; Kapelan, Z.; Savic, D.; Berardi, L.; Barbaro, G.; Giustolisi, O.; Asadzadeh, M.; Tolson, B.; McKillop, R.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 the calibration of water distribution systems through application to a real water distribution system. Fourteen teams from academia, water utilities, and private consultants participated. The BWCN outcomes were presented and assessed at the 12th Water Distribution Systems Analysis conference in Tucson, Arizona, in September 2010. This manuscript summarizes the BWCN exercise and suggests future research directions for the calibration of water distribution systems.Item Metadata only Battle of the Water Calibration Networks (BWCN): A Component Status Changes Oriented Calibration Method for Zonal Management Water Distribution Networks(ASCE, 2010) Diao, Kegong; Zhou, Y.; Li, J.; Liu, Z.Calibration is the prerequisite for a hydraulic model of water distribution system to be utilized in practice. Given the case-specific feature of model calibration, this paper introduces a method that is oriented by component status changes in zonal management water distribution systems. This method is specified for zonal systems in which the operation of every zone could be framed to a stable periodical performance based on control routines, which would not be affected substantially by condition variation in other zones or the effects could be deduced. The principle of this methodology is to identify scenarios with status changes of several crucial components in water distribution networks which give rise to significant effects on hydraulic performance at least in a certain region of the water distribution system. After, those scenarios could be used for calibration of both pipe roughness and demand pattern multipliers with measured data (e.g. SCADA data) as constraints. For verification, this methodology is applied to the case study of "The Battle of the Water Calibration Networks (BWCN)" based on understanding of the system features and behaviors according to available data and corresponding statistical analysis. The final outcomes demonstrate that this approach could reach acceptable results more efficiently if characteristics of the studied system could be well identified.Item Metadata only Development of Integrated Information Management System for Water Distribution and Drainage Systems: A Case Study of Jinnan District, Tianjin(Proceedings of the 9th International Conference Hydroinformatics, 2010) Diao, Kegong; Zhou,Y. W.; Li, J.Item Metadata only Numerical study of a novel counter-flow heat and mass exchanger for dew point evaporative cooling.(2008) Zhao, X.; Li, J.; Riffat, S. B.Item Metadata only Regulators as 'agents': Power and personality in risk regulation and a role for agent-based simulation.(Routledge, 2010) Davies, G. J.; Kendall, G.; Soane, E.; Li, J.; Charnley, Fiona; Pollard, S. J. T.