| Issue |
E3S Web Conf.
Volume 711, 2026
2026 2nd International Conference on Environmental Monitoring and Ecological Restoration (EMER 2026)
|
|
|---|---|---|
| Article Number | 02009 | |
| Number of page(s) | 4 | |
| Section | Ecological Restoration and Remediation | |
| DOI | https://doi.org/10.1051/e3sconf/202671102009 | |
| Published online | 19 May 2026 | |
A Real-Time Decision Support System Using BIM-GIS Integration for Adaptive Urban Flood Risk Mitigation and Climate-Responsive Infrastructure
1 Assistant Professor, Department of CSE, GITAM School of Technology, GITAM University, Bengaluru- 561263
2 Department of Law, College of Law, Sawa University, Almuthana, Iraq
3 college of Pharmacy/ University of Al-Ameed, Karbala, Iraq
4 Al-Nisour University College, Nisour Seq. Karkh, Baghdad, Iraq
5 Al-Zahrawi University College, Karbala, Iraq
6 Mazaya university college/ Iraq
* Corresponding Author's Email Address: This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
Rapid urban development and climate change have created an urgent need for intelligent infrastructure systems that can effectively respond to urban flooding. This research aims to develop a real-time decision support system (DSS) based on Building Information Modeling (BIM) and Geographic Information Systems (GIS) technologies for adaptive flood risk mitigation in urban settings. The framework facilitates dynamic analysis, combining high-resolution spatial data from GIS with structural and infrastructural data from BIM, enabling situation awareness and foresight. Real-time sensor information, alongside hydrological models of urban watersheds, is integrated for agile resource allocation and informed decision-making. The resilience of the region is enhanced through scenario simulations, impact assessments, climate-driven responses, and the design of resilient infrastructure. A case study illustrates the application of the framework for managing flood-prone areas, focusing on optimized emergency response mapping. The case study focuses on a rapidly urbanizing watershed of approximately 35-40 km2 within the metropolitan fringe of Bengaluru, India, which is representative of dense mixed-use development with stressed drainage infrastructure.) The combination also serves as a practical solution that merges design, environmental, and operational intelligence for city planners and crisis management professionals.
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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