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International audience; The paper presents the results of the Battle of Postdisaster Response and Restoration (BPDRR) presented in a special session at the first International water distribution systems analysis & computing and control in the water industry (WDSA/CCWI) Joint Conference, held in Kingston, Ontario, Canada, in July 2018. The BPDRR problem focused on how to respond and restore water service after the occurrence of five earthquake scenarios that cause structural damage in a water distribution system. Participants were required to propose a prioritization schedule to fix the damages of each scenario while following restrictions on visibility/nonvisibility of damages. Each team/approach was evaluated against six performance criteria: (1)time without supply for hospital/firefighting, (2)rapidity of recovery, (3)resilience loss, (4)average time of no user service, (5)number of users without service for eight consecutive hours, and (6)water loss. Three main types of approaches were identified from the submissions: (1)general-purpose metaheuristic algorithms, (2)greedy algorithms, and (3)ranking-based prioritizations. All three approaches showed potential to solve the challenge efficiently. The results of the participants showed that for this network, the impact of a large-diameter pipe failure on the network is more significant than several smaller pipes failures. The location of isolation valves and the size of hydraulic segments influenced the resilience of the system during emergencies. On average, the interruptions to water supply (hospitals and firefighting) varied considerably among solutions and emergency scenarios, highlighting the importance of private water storage for emergencies. The effects of damages and repair work were more noticeable during the peak demand periods (morning and noontime) than during the low-flow periods; and tank storage helped to preserve functionality of the network in the first few hours after a simulated event.

International audience; The main function of a municipal storage tank is to balance differences between supply and demand in order to provide users with a reliable water supply in the most economic way. Van Zyl et al (2008) proposed a stochastic analysis method to estimate the reliability of municipal storage tanks. In this study, the Monte Carlo method was used to investigate the impact of different user demand parameters on tank reliability (i.e. the probability that the tank will not run dry). In this phase of the work, sensitivity with regard to fire and pipe failures were not considered. It was found that the supply ratio, defined as the source capacity over the average demand, is the most important demand-related factor affecting storage tank reliability. It is shown that the reliability of tanks varies greatly through the year, and it is recommended that municipalities do everything possible to ensure that their system runs smoothly (i.e. all facilities are operational) during the seasonal peak demand period. Maintenance work on treatment, pumping and storage facilities should be performed when demands are at their minimum.

International audience; Municipal storage tanks are normally sized according to inherently conservative design guidelines. An alternative way to determine the required size of a tank, on the basis of a stochastic analysis of the system, was proposed in a previous study, in which it was recommended that tanks should be sized for a minimum reliability of one failure in 10 years at the most critical time of the year, typically under seasonal peak demand conditions. In this study, the same method is used to investigate the impact of different user demand parameters on tank reliability. It was concluded that the supply ratio, defined as the ratio of the source capacity to the average demand in the week considered, is the most important demand-related factor affecting tank reliability. It is shown that the reliability of tanks varies greatly throughout the year, and it is recommended that municipalities do everything possible to ensure that their system runs smoothly over the seasonal peak demand period. Several other important demand factors affecting tank reliability are also identified. It is concluded that the optimal combination of source capacity and tank size should be determined on the basis of economic factors, and that it is likely to be system specific.