TY - JOUR
T1 - A synthetic water distribution network model for urban resilience
AU - Ahmad, Nasir
AU - Chester, Mikhail
AU - Bondank, Emily
AU - Arabi, Mazdak
AU - Johnson, Nathan
AU - Ruddell, Benjamin L.
N1 - Funding Information:
This work was supported by the National Science Foundation [GCR-1934933]; National Science Foundation [SRN-1444755]; National Science Foundation [SCC-1831475]; National Science Foundation [CSSI-1931324]; Office of Naval Research [N00014-18-1-2393].
Publisher Copyright:
© 2020, © 2020 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2020
Y1 - 2020
N2 - Water distribution networks (WDN) are one of the most critical infrastructures, providing water for essential needs. However, the dearth of information on WDNs due to weak historical records, limited willingness to share data, and security concerns limit a researcher’s understanding of the criticality, adaptability, vulnerability, and interdependencies of WDNs. To address this challenge, we develop a model entitled SyNF (Synthetic Infrastructure) for synthetic WDN generation. SyNF uses a roadway network, water demand, and water source locations to synthesize topology, diameter, and service year of pipes, and location and power requirements of pumps. To show SyNF’s capabilities, we start with the City of Tempe and scale the model to Phoenix metro’s seven major cities. We find a 6% average dissimilarity on pipe size distribution between the original and synthesized WDN in validating SyNF. We also discuss how SyNF can advance our understanding of the criticality, vulnerability, and resilience of WDNs.
AB - Water distribution networks (WDN) are one of the most critical infrastructures, providing water for essential needs. However, the dearth of information on WDNs due to weak historical records, limited willingness to share data, and security concerns limit a researcher’s understanding of the criticality, adaptability, vulnerability, and interdependencies of WDNs. To address this challenge, we develop a model entitled SyNF (Synthetic Infrastructure) for synthetic WDN generation. SyNF uses a roadway network, water demand, and water source locations to synthesize topology, diameter, and service year of pipes, and location and power requirements of pumps. To show SyNF’s capabilities, we start with the City of Tempe and scale the model to Phoenix metro’s seven major cities. We find a 6% average dissimilarity on pipe size distribution between the original and synthesized WDN in validating SyNF. We also discuss how SyNF can advance our understanding of the criticality, vulnerability, and resilience of WDNs.
KW - infrastructure
KW - Synthetic network
KW - urban resilience
KW - water distribution network
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U2 - 10.1080/23789689.2020.1788230
DO - 10.1080/23789689.2020.1788230
M3 - Article
AN - SCOPUS:85087732935
SN - 2378-9689
SP - 1
EP - 15
JO - Sustainable and Resilient Infrastructure
JF - Sustainable and Resilient Infrastructure
ER -