Sensitivity‐Oriented Clustering Method for Parameter Grouping in Water Network Model Calibration

Abstract

Water network models are widely used for simulation, management and surveillance of the real-world water distribution system (WDS) (Kun et al., 2015). Calibration of model parameters is necessary to ensure that the hydraulic model can effectively and accurately represent its corresponding WDS. The calibration process is generally accomplished by adjusting model parameters to match the model predictions with field measurements (Lansey et al., 2001). Pipe roughness coefficients and nodal demands are typical parameters need to be calibrated, which could require unaffordable manpower and material resource to be directly measured while having a significant impact on model simulation results (Kang & Lansey, 2011;Ormsbee & Lingireddy, 1997).Due to the large-scale and high complexity of WDS, the number of parameters to be calibrated are always quite large, while the number of monitors is limited. It has been pointed out that when the number of unknowns greatly

A novel self-adaptation and sorting selection-based differential evolutionary algorithm applied to water distribution system optimization

“…( 6) Results in the case study demonstrate the merit of the proposed SA-SSDE algorithm in least-cost single-objective WDS optimization, and future research will extend it to multi-objective WDS optimization problems. In addition, the proposed SA-SSDE algorithm can also be utilized to solve other water resources management problems, such as burst localization (Zhou et al 2019) and model calibration (Chen et al 2022).…”

Sensitivity Analysis: An Operational Picture

“…Operational and stochastic variables are commonly encountered jointly in a variety of water‐related setting, for example, eutrophication of shallow water systems (Pastres et al., 1999), hydrological and financial management of river systems (Hamilton et al., 2022), protection of diked wetlands (Alminagorta et al., 2016), water management within the socio‐hydrological perspective (Elshafei et al., 2016), management of sewer overflows in a urban river (Riechel et al., 2016), risk assessment of drinking water supply (Cantoni et al., 2021), urban flood scenarios (Wu et al., 2021), live cycle of small water resource recovery facilities (Thompson et al., 2022) and tomato production in urban environments (Peña et al., 2022), regulation of rivers under climate change (Patil et al., 2022), management of grape harvest (Lo Piano et al., 2022), impact of coastal shrimp ponds in saltwater intrusion (Hou et al., 2022), crop yields under climate change (Karimi et al., 2022), analysis of water networks (Chen et al., 2022), investigation of riparian freshwater lenses (Jazayeri et al., 2021), impact of partially penetrating barriers on island freshwater lenses (Yan et al., 2021), impact of water withdrawals on waterfalls features (Schalko & Boes, 2021), functioning of sewer networks (Dobson et al., 2022), sediment management for dams (Niu & Shah, 2021), wave propagation in pressurized pipe (Wang, 2021) and algal growth dynamics (Hariz et al., 2023), just to name a few.…”