TY - JOUR
T1 - Vulnerability analysis of Water Distribution Networks using betweenness centrality and information entropy
AU - Zarghami, Seyed Ashkan
AU - Gunawan, Indra
AU - Schultmann, Frank
N1 - Publisher Copyright:
© IEOM Society International.
PY - 2018
Y1 - 2018
N2 - In recent years, many researchers have analysed the vulnerability of Water Distribution Networks (WDNs) from the hydraulic perspective. However, few works in literature have addressed the vulnerability problem from the topological point of view. This work adopts the information entropy to evaluate the topological vulnerability of a WDN from the character of its heterogeneity. The proposed method is based on the principle that a network with uniformly distributed centrality values exhibits a lower drop in performance in the case of partial failure of its components and therefore is less vulnerable. In order to demonstrate the proposed method, the paper presents two case studies, a real-world WDN of an Australian town and a network from the literature. Comparative analysis confirmed that a network with more homogeneous distribution of the nodal betweennes centrality values is less vulnerable against the random failure of its components than that of the one with heterogeneous distribution of these values.
AB - In recent years, many researchers have analysed the vulnerability of Water Distribution Networks (WDNs) from the hydraulic perspective. However, few works in literature have addressed the vulnerability problem from the topological point of view. This work adopts the information entropy to evaluate the topological vulnerability of a WDN from the character of its heterogeneity. The proposed method is based on the principle that a network with uniformly distributed centrality values exhibits a lower drop in performance in the case of partial failure of its components and therefore is less vulnerable. In order to demonstrate the proposed method, the paper presents two case studies, a real-world WDN of an Australian town and a network from the literature. Comparative analysis confirmed that a network with more homogeneous distribution of the nodal betweennes centrality values is less vulnerable against the random failure of its components than that of the one with heterogeneous distribution of these values.
KW - Betweenness centrality
KW - Information entropy
KW - Vulnerability analysis
KW - Water distribution networks
UR - http://www.scopus.com/inward/record.url?scp=85066946205&partnerID=8YFLogxK
M3 - Conference article
AN - SCOPUS:85066946205
SN - 2169-8767
VL - 2018
SP - 1811
EP - 1820
JO - Proceedings of the International Conference on Industrial Engineering and Operations Management
JF - Proceedings of the International Conference on Industrial Engineering and Operations Management
IS - JUL
T2 - 2nd European International Conference on Industrial Engineering and Operations Management.IEOM 2018
Y2 - 26 July 2018 through 27 July 2018
ER -