Stochastic–Fuzzy Assessment Framework for Firefighting Functionality of Urban Water Distribution Networks Against Post-Earthquake Fires

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Authors: Xiang He, Hao Huang, Fengjiao Xu, Chao Zhang, Tingxin Qin
Cited by: 1
References: 43

Abstract

Post-earthquake fires often cause more severe losses than the earthquakes themselves, highlighting the critical role of water distribution networks (WDNs) in mitigating fire risks. This study proposed an improved assessment framework for the post-earthquake firefighting functionality of WDNs. This framework integrates a WDN firefighting simulation model into a cloud model-based assessment method. By combining seismic damage and firefighting scenarios, the simulation model derives sample values of the functional indexes through Monte Carlo simulations. These indexes integrate the spatiotemporal characteristics of the firefighting flow and pressure deficiencies to assess a WDN’s capability to control fire and address fire hazards across three dimensions: average, severe, and prolonged severe deficiencies. The cloud model-based assessment method integrates the sample values of functional indexes with expert opinions, enabling qualitative and quantitative assessments under stochastic–fuzzy conditions. An illustrative study validated the efficacy of this method. The flow- and pressure-based indexes elucidated functionality degradation owing to excessive firefighting flow and the diminished supply capacity of a WDN, respectively. The spatiotemporal characteristics of severe flow and pressure deficiencies demonstrated the capability of firefighting resources to manage concurrent fires while ensuring a sustained water supply to fire sites. This method addressed the limitations of traditional quantitative and qualitative assessment approaches, resulting in more reliable outcomes.

Fields of Study & Subjects

Water Systems and Optimization Infrastructure Resilience and Vulnerability Analysis Fire dynamics and safety research

Publication details

Journal / source
Sustainability
Publisher
MDPI AG
Volume
18
Issue
2
Pages
949–949
Publication date
16 January 2026
Language
EN