Resilience-Based Design of Urban Drainage Systems Using Climate Projection Data and Real-Time Flood Monitoring Sensors
Keywords:
Resilient Urban Drainage Climate , Projection , Flood Monitoring Sensors , Adaptive Infrastructure , Sustainable Flood ManagementAbstract
Purpose: This study aims to develop a resilience-based urban drainage design framework by integrating climate projection data and real-time flood monitoring sensors to address increasing flood risks caused by urbanization and climate change.
Subjects and Methods: A systematic literature review was conducted using peer-reviewed articles published between 2015 and 2025 from Scopus, Web of Science, ScienceDirect, and Google Scholar. Relevant studies were screened based on inclusion and exclusion criteria related to urban drainage resilience, climate projection modeling, and sensor-based flood monitoring. The selected literature was analyzed using thematic synthesis to identify dominant patterns and conceptual relationships, followed by the development of an integrated adaptive design framework.
Results: The findings indicate that resilience-based drainage design enhances hydraulic stability, reduces runoff risk, and accelerates post-flood recovery through structural flexibility and adaptive capacity. The integration of climate projection data improves long-term planning accuracy and supports scenario-based risk assessment under climate uncertainty. Real-time monitoring sensors strengthen operational responsiveness through early warning systems, dynamic flow control, and continuous performance evaluation. The combined use of predictive climate modeling and real-time data creates a synergistic adaptive system capable of responding to both anticipated and unexpected hydrological disturbances.
Conclusions: Integrating resilience principles with climate projections and sensor technology provides a comprehensive and sustainable framework for adaptive urban drainage management, supporting long-term climate adaptation and improved urban infrastructure governance.
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