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    Battle of the Water Calibration Networks

    Source: Journal of Water Resources Planning and Management:;2012:;Volume ( 138 ):;issue: 005
    Author:
    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 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 Savic
    ,
    Luigi Berardi
    ,
    Giuseppe Barbaro
    ,
    Orazio Giustolisi
    ,
    Masoud Asadzadeh
    ,
    Bryan A. Tolson
    ,
    Robert McKillop
    DOI: 10.1061/(ASCE)WR.1943-5452.0000191
    Publisher: American Society of Civil Engineers
    Abstract: 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.
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      Battle of the Water Calibration Networks

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    http://yetl.yabesh.ir/yetl1/handle/yetl/70048
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    • Journal of Water Resources Planning and Management

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    contributor authorAvi Ostfeld
    contributor authorElad Salomons
    contributor authorLindell Ormsbee
    contributor authorJames G. Uber
    contributor authorChristopher M. Bros
    contributor authorPaul Kalungi
    contributor authorRichard Burd
    contributor authorBoguslawa Zazula-Coetzee
    contributor authorTeddy Belrain
    contributor authorDoosun Kang
    contributor authorKevin Lansey
    contributor authorHailiang Shen
    contributor authorEdward McBean
    contributor authorZheng Yi Wu
    contributor authorTom Walski
    contributor authorStefano Alvisi
    contributor authorMarco Franchini
    contributor authorJoshua P. Johnson
    contributor authorSantosh R. Ghimire
    contributor authorBrian D. Barkdoll
    contributor authorTiit Koppel
    contributor authorAnatoli Vassiljev
    contributor authorJoong Hoon Kim
    contributor authorGunhui Chung
    contributor authorDo Guen Yoo
    contributor authorKegong Diao
    contributor authorYuwen Zhou
    contributor authorJi Li
    contributor authorZilong Liu
    contributor authorKui Chang
    contributor authorJinliang Gao
    contributor authorShaojian Qu
    contributor authorYixing Yuan
    contributor authorT. Devi Prasad
    contributor authorDaniele Laucelli
    contributor authorLydia S. Vamvakeridou Lyroudia
    contributor authorZoran Kapelan
    contributor authorDragan Savic
    contributor authorLuigi Berardi
    contributor authorGiuseppe Barbaro
    contributor authorOrazio Giustolisi
    contributor authorMasoud Asadzadeh
    contributor authorBryan A. Tolson
    contributor authorRobert McKillop
    date accessioned2017-05-08T22:03:24Z
    date available2017-05-08T22:03:24Z
    date copyrightSeptember 2012
    date issued2012
    identifier other%28asce%29wr%2E1943-5452%2E0000235.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/70048
    description abstractCalibration 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.
    publisherAmerican Society of Civil Engineers
    titleBattle of the Water Calibration Networks
    typeJournal Paper
    journal volume138
    journal issue5
    journal titleJournal of Water Resources Planning and Management
    identifier doi10.1061/(ASCE)WR.1943-5452.0000191
    treeJournal of Water Resources Planning and Management:;2012:;Volume ( 138 ):;issue: 005
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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