Emergency water crisis management is a set of preventive, preparedness, rapid response, and recovery measures designed to maintain the sustainability of water resources and the continuity of service provision to citizens in unexpected situations such as severe droughts, sudden pollution, or infrastructure failures. This management requires an integrated framework in which real-time monitoring of hydrological data and the use of modern technologies such as artificial intelligence for accurate hazard prediction are considered top priorities. Synergy between responsible institutions and the development of specific operational protocols to reduce response time play a key role in minimizing social, economic, and environmental damage. Finally, increasing the resilience of structures and promoting a culture of optimal consumption in critical situations, as two fundamental pillars, enhance the ability of society to overcome water stresses without serious insecurity. The aim of the present study is to implement multi-criteria decision-making systems for emergency water crisis management Case Study: Tehran Metropolitan Area. In this study, the ISM model was used. This study is applied-theoretical in terms of purpose and descriptive-analytical in terms of method. The required information and data were collected through library and field methods. Implementing multi-criteria decision-making systems using interpretive structural modeling (ISM) is an efficient approach to explaining the complex and hierarchical relationships between the components of emergency water crisis management in the metropolis of Tehran. In this study, by identifying and screening technical, operational, and social criteria, a structured structure of interactions between them is drawn, which provides strategic prioritization and a deep understanding of the dependencies of variables for urban managers. This model, by accurately analyzing the causal effects, helps reduce uncertainty during a crisis and provides a scientific basis for decision-making under conditions of uncertainty to maintain sustainable water security in Tehran.