Battle of the Water Calibration NetworksSource: Journal of Water Resources Planning and Management:;2012:;Volume ( 138 ):;issue: 005Author: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.1943-5452.0000191Publisher: 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.
|
Show full item record
contributor author | Avi Ostfeld | |
contributor author | Elad Salomons | |
contributor author | Lindell Ormsbee | |
contributor author | James G. Uber | |
contributor author | Christopher M. Bros | |
contributor author | Paul Kalungi | |
contributor author | Richard Burd | |
contributor author | Boguslawa Zazula-Coetzee | |
contributor author | Teddy Belrain | |
contributor author | Doosun Kang | |
contributor author | Kevin Lansey | |
contributor author | Hailiang Shen | |
contributor author | Edward McBean | |
contributor author | Zheng Yi Wu | |
contributor author | Tom Walski | |
contributor author | Stefano Alvisi | |
contributor author | Marco Franchini | |
contributor author | Joshua P. Johnson | |
contributor author | Santosh R. Ghimire | |
contributor author | Brian D. Barkdoll | |
contributor author | Tiit Koppel | |
contributor author | Anatoli Vassiljev | |
contributor author | Joong Hoon Kim | |
contributor author | Gunhui Chung | |
contributor author | Do Guen Yoo | |
contributor author | Kegong Diao | |
contributor author | Yuwen Zhou | |
contributor author | Ji Li | |
contributor author | Zilong Liu | |
contributor author | Kui Chang | |
contributor author | Jinliang Gao | |
contributor author | Shaojian Qu | |
contributor author | Yixing Yuan | |
contributor author | T. Devi Prasad | |
contributor author | Daniele Laucelli | |
contributor author | Lydia S. Vamvakeridou Lyroudia | |
contributor author | Zoran Kapelan | |
contributor author | Dragan Savic | |
contributor author | Luigi Berardi | |
contributor author | Giuseppe Barbaro | |
contributor author | Orazio Giustolisi | |
contributor author | Masoud Asadzadeh | |
contributor author | Bryan A. Tolson | |
contributor author | Robert McKillop | |
date accessioned | 2017-05-08T22:03:24Z | |
date available | 2017-05-08T22:03:24Z | |
date copyright | September 2012 | |
date issued | 2012 | |
identifier other | %28asce%29wr%2E1943-5452%2E0000235.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/70048 | |
description 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. | |
publisher | American Society of Civil Engineers | |
title | Battle of the Water Calibration Networks | |
type | Journal Paper | |
journal volume | 138 | |
journal issue | 5 | |
journal title | Journal of Water Resources Planning and Management | |
identifier doi | 10.1061/(ASCE)WR.1943-5452.0000191 | |
tree | Journal of Water Resources Planning and Management:;2012:;Volume ( 138 ):;issue: 005 | |
contenttype | Fulltext |