TY - GEN
T1 - Dynamic Clustering for Water Distribution System Water Quality Management
AU - Qiu, Mengning
AU - Ostfeld, Avi
N1 - Publisher Copyright: © 2020 American Society of Civil Engineers.
PY - 2020
Y1 - 2020
N2 - A water distribution system can be viewed as a graph consisting of nodes and links. Those characterize the consumers and pipes and other network elements such as pipe junctions, valves, sources, tanks, pumps, and reservoirs. In addition to supplying the consumers required consumptions at required pressures, sustaining resiliency, the ability to detect contaminants, sensor leakage minimization, and others, are warranted. Amongst other methods, one of the approaches to accomplish part of these objectives (e.g., leakage control), is clustering (or district metering areas formation). Clustering algorithms vary with network size and objectives and are continuously evolving into practical techniques. The goal of this study is to introduce a new dynamic (i.e., time-varying) clustering methodology for trading-off system objectives such as cost, resiliency, and water quality (quantified through water age). The method is demonstrated on a small illustrative example application and a more complex water distribution system.
AB - A water distribution system can be viewed as a graph consisting of nodes and links. Those characterize the consumers and pipes and other network elements such as pipe junctions, valves, sources, tanks, pumps, and reservoirs. In addition to supplying the consumers required consumptions at required pressures, sustaining resiliency, the ability to detect contaminants, sensor leakage minimization, and others, are warranted. Amongst other methods, one of the approaches to accomplish part of these objectives (e.g., leakage control), is clustering (or district metering areas formation). Clustering algorithms vary with network size and objectives and are continuously evolving into practical techniques. The goal of this study is to introduce a new dynamic (i.e., time-varying) clustering methodology for trading-off system objectives such as cost, resiliency, and water quality (quantified through water age). The method is demonstrated on a small illustrative example application and a more complex water distribution system.
KW - dynamic district metering areas
KW - network performance
KW - pressure management
KW - water distribution system
UR - http://www.scopus.com/inward/record.url?scp=85085971720&partnerID=8YFLogxK
U2 - https://doi.org/10.1061/9780784482971.031
DO - https://doi.org/10.1061/9780784482971.031
M3 - منشور من مؤتمر
T3 - World Environmental and Water Resources Congress 2020: Hydraulics, Waterways, and Water Distribution Systems Analysis - Selected Papers from the Proceedings of the World Environmental and Water Resources Congress 2020
SP - 318
EP - 328
BT - World Environmental and Water Resources Congress 2020
A2 - Ahmad, Sajjad
A2 - Murray, Regan
T2 - World Environmental and Water Resources Congress 2020: Hydraulics, Waterways, and Water Distribution Systems Analysis
Y2 - 17 May 2020 through 21 May 2020
ER -