Sensitivity Analysis for Sampling Design and Demand Calibration in Water Distribution Networks Using the Singular Value Decomposition

摘要: AbstractResearch in water distribution networks during recent decades has often focused on calibration. There is no unique solution for this problem as the methodologies are developed depending which parameters have to be calibrated and final use of model. This work presents a demand calibration methodology that identifies set patterns minimize error predicted measurements. The singular value decomposition (SVD) sensitivity matrix powerful tool solving optimization problem. Additionally, work, deep understanding SVD allows selection an alternative classic patterns. Each individual defined combination geographically distributed membership each every pattern produced naturally through analysis matrix. Three types memberships considered: binary, positive, free. also used define location sensors calib...