TY - GEN

T1 - The battle of the water calibration networks (BWC)

T2 - 12th Annual International Conference on Water Distribution Systems Analysis 2010, WDSA 2010

AU - Kang, Doosun

AU - Lansey, Kevin

PY - 2012/1/30

Y1 - 2012/1/30

N2 - The weighted least squares (WLS) method has been widely used for parameter estimation and state estimation in water distribution system (WDS). The problem is formulated as a minimization of error between the field measurements and simulation model outputs by adjusting parameter values, which is the common procedure as other calibration approaches (e.g., trial and error or optimization algorithm). Instead of random searching approach, however, the WLS updates the unknown parameters iteratively using Jacobian matrix, which is the sensitivity of the measurement vector to changes in the input parameters, forming the basis of the WLS scheme. A Taylor series expansion provides an approximation of the non-linear vector function expressing the relationship between unknowns and measurements (or model outputs). The optimal estimate is updated iteratively until the target errors are small enough or the magnitudes of the estimate corrections become smaller than a given tolerance level.

AB - The weighted least squares (WLS) method has been widely used for parameter estimation and state estimation in water distribution system (WDS). The problem is formulated as a minimization of error between the field measurements and simulation model outputs by adjusting parameter values, which is the common procedure as other calibration approaches (e.g., trial and error or optimization algorithm). Instead of random searching approach, however, the WLS updates the unknown parameters iteratively using Jacobian matrix, which is the sensitivity of the measurement vector to changes in the input parameters, forming the basis of the WLS scheme. A Taylor series expansion provides an approximation of the non-linear vector function expressing the relationship between unknowns and measurements (or model outputs). The optimal estimate is updated iteratively until the target errors are small enough or the magnitudes of the estimate corrections become smaller than a given tolerance level.

KW - BWCN

KW - Roughness and demand

KW - Taylor expansion

KW - Weighted least squares (WLS)

UR - http://www.scopus.com/inward/record.url?scp=84856171030&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84856171030&partnerID=8YFLogxK

U2 - 10.1061/41203(425)137

DO - 10.1061/41203(425)137

M3 - Conference contribution

AN - SCOPUS:84856171030

SN - 9780784412039

T3 - Water Distribution Systems Analysis 2010 - Proceedings of the 12th International Conference, WDSA 2010

SP - 1532

EP - 1544

BT - Water Distribution Systems Analysis 2010 - Proceedings of the 12th International Conference, WDSA 2010

Y2 - 12 September 2010 through 15 September 2010

ER -