Integrating HEC-RAS, GIS, and LISREL for assessing and enhancing urban building resilience against flood threats: Comprehensive model and analysis.

Autor:	Estelaji F; Department of Construction Engineering and Management, Faculty of Civil Engineering, Khajeh Nasir Toosi University, Tehran, Iran., Zahedi R; Department of Energy Governance, University of Tehran, Tehran, Iran., Gitifar A; Department of Environmental System Engineering, University of Regina, Saskatchewan, Canada., Naseri A; Department of Road and Transport Engineering, Faculty of Civil and Environment Engineering, Amirkabir University of Technology, Tehran, Iran., Yari MH; Faculty of Civil Engineering, Sharif University of Technology, Tehran, Iran., Asl BR; Department of Environmental Management, Faculty of Marine Science and Technology, Azad University, Tehran, Iran., Abedi B; Department of Remote Sensing, Faculty of Geodesy and Geomatics, Khajeh Nasir Toosi University, Tehran, Iran.
Jazyk:	angličtina
Zdroj:	Heliyon [Heliyon] 2024 Oct 16; Vol. 10 (20), pp. e39463. Date of Electronic Publication: 2024 Oct 16 (Print Publication: 2024).
DOI:	10.1016/j.heliyon.2024.e39463
Abstrakt:	Floods pose significant threats to urban areas, resulting in substantial human and financial losses annually. The vulnerability of key urban centers to these risks diminishes their efficiency, leading to public dissatisfaction and service deficiencies. Recognizing and enhancing the resilience of essential buildings becomes crucial in mitigating these challenges. This study employs a comprehensive approach to achieve a resilience model for critical buildings facing floods. The research process involves the identification of city assets based on leveling criteria, utilizing GIS technology for spatial mapping. HECRAS software aids in river flow modeling, identifying areas lacking flood-carrying capacity. By overlaying vulnerable gravity centers with flood-prone regions, building resilience components are computed through structural factor analysis and LISREL modeling. The study identifies ten key criteria. Further analysis includes resilience modeling using TOPSIS and AHP methods. The positive ideal and negative ideal solutions are determined, resulting in the grading of building resilience. Notably, the balance redundancy index with cascading potential effects attains the highest positive ideal value at 0.257, while the resistance to a level of stress index achieves the lowest negative ideal value at 0.02. This comprehensive approach and modeling contribute to the understanding and enhancement of urban building resilience in the face of flood threats. Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. (© 2024 The Authors.)
Databáze:	MEDLINE
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