This paper presents an integrated decision support system (DSS) for flood disaster management with sustainable implementation. The system aims to provide a comprehensive framework for managing flood disasters across pre-flood, flood, and post-flood phases. The research investigates the feasibility and necessity of a DSS for flood emergency management, building upon previous work on modular disaster management systems. The system integrates various models into a single logical model, known as "Observed and Forecasted," and provides a systematic framework for crisis management throughout the entire process. It also includes an in-depth analysis of the function architecture of each application subsystem. The paper proposes a disaster management metamodel to eventually develop a disaster management (DM) language, which will serve as a representational layer for DM data, enabling a system that combines various DM actions in line with the evolution of the disaster. The goal is to create a DSS with an innovative metamodel as a core component to achieve the objectives of integrating, enabling, and accelerating access to DM information. The study highlights the importance of model integration in DSS, emphasizing the need for merging existing DSS models and components. It discusses the challenges of flood management, including the increasing frequency and intensity of floods, and the impact of climate change on urban vulnerabilities. The paper also explores the role of DSS in improving decision-making during flood events, emphasizing the need for accurate and timely information. The research proposes a modular architecture that allows for the creation of various subroutine organizations based on specific needs. The study also addresses the importance of sustainability in disaster management, emphasizing the need for long-term planning and the integration of various development aspects. The paper concludes that an integrated decision-making process is essential for effective flood management, and that the proposed DSS can significantly enhance the ability to manage and respond to flood disasters.This paper presents an integrated decision support system (DSS) for flood disaster management with sustainable implementation. The system aims to provide a comprehensive framework for managing flood disasters across pre-flood, flood, and post-flood phases. The research investigates the feasibility and necessity of a DSS for flood emergency management, building upon previous work on modular disaster management systems. The system integrates various models into a single logical model, known as "Observed and Forecasted," and provides a systematic framework for crisis management throughout the entire process. It also includes an in-depth analysis of the function architecture of each application subsystem. The paper proposes a disaster management metamodel to eventually develop a disaster management (DM) language, which will serve as a representational layer for DM data, enabling a system that combines various DM actions in line with the evolution of the disaster. The goal is to create a DSS with an innovative metamodel as a core component to achieve the objectives of integrating, enabling, and accelerating access to DM information. The study highlights the importance of model integration in DSS, emphasizing the need for merging existing DSS models and components. It discusses the challenges of flood management, including the increasing frequency and intensity of floods, and the impact of climate change on urban vulnerabilities. The paper also explores the role of DSS in improving decision-making during flood events, emphasizing the need for accurate and timely information. The research proposes a modular architecture that allows for the creation of various subroutine organizations based on specific needs. The study also addresses the importance of sustainability in disaster management, emphasizing the need for long-term planning and the integration of various development aspects. The paper concludes that an integrated decision-making process is essential for effective flood management, and that the proposed DSS can significantly enhance the ability to manage and respond to flood disasters.