Document Type : Applied Article
Authors
1
PhD Student in Environmental Management, Marine Science and Technology, Islamic Azad University, North Tehran Branch
2
Assistant Professor of Environmental Management, Marine Science and Technology, Islamic Azad University, North Tehran Branch
3
Professor of Geography, Humanities, Islamic Azad University, Imam Khomeini Memorial Branch, City of Ray
4
Assistant Professor of Architectural Engineering - Urban Planning, Islamic Azad University, North Tehran Branch
Abstract
Introduction
Urban floods have been exacerbated by climate change and urbanization, as well as restrictions on the drainage of urban infrastructure, and over the past decade have had many negative effects on cities around the world [4]. As a result, the demand for more resilience has not been successful in many cases [2]. Accordingly, the resilience of key urban buildings is one of the necessities of urban resilience [3]. In this regard, research on urban resilience in events such as floods was reviewed, some of the most important of which are mentioned below. In 2019, Wang and colleagues evaluated the resilience of the urban basin to floods, and the CADDIES model was used to simulate floods. Based on the results, vulnerable basins were identified and strategies were developed to increase the city's resilience to floods [4]. In 2019, Barajas et al. worked on an article on the resilience of urban buildings in the face of flood risk in the Mexican metropolitan area, and addressed the resilience of buildings in Mexico City during the floods of recent decades. Findings show that building resilience is a complex and sequential process that of course depends on social, economic and institutional conditions [1].
Research Methods
In this research, in order to achieve the model of resilience of important buildings against floods, data analysis is performed in several stages, which include the following:
1- Identification of significant assets
2- Modeling river flow using HecRAS software
3- Adaptation of assets and modeling results from rivers in different return periods
4- Counting assets affected by floods
5- Modeling of building resilience components using structural equation modeling of LISREL software
6-Counting and ranking the components extracted from the model using AHP-TOPSIS combined method
7- Ranking of key buildings affected by floods using AHP-TOPSIS combined method
Discussion and conclusion
The asset layers of the city of Hamedan and the rivers of the city have been adapted in the GIS context and five buildings of the University of Technology, the Faculty of Art and Architecture, Payam-e Noor University, the Blood Transfusion Building and the Amiran Hotel have been identified as vulnerable centers of Hamedan.
Conclusion
Components (adaptability-flexibility, connection of failure-safe feedback, dependence on environmental ecosystems, diversity, learning-memory-prediction, performance, response speed, fragmentation redundancy, resourcefulness, and robustness) are effective variables on flood resilience of buildings. In testing the hypothesis using the structural equation model, the software output indicates the suitability of the fitted structural model to test the research hypotheses.
Weighting indicators
Resilience components
Sub-components of resilience
Weight
Compatibility - Flexibility
Change while maintaining or improving performance
0.049
Evolution
0.045
Adopt alternative strategies quickly
0.05
Timely response to changing circumstances
0.027
Open design and flexible structures
0.049
Connection - Feedback - Safety - Failure
Shock absorption
0.007
Absorb the cumulative effects of challenges with a slow start
0.012
Avoid catastrophic failure if you exceed the threshold
0.007
Gradual failure instead of sudden
0.013
Failure without cascading effects (demino effect)
0.024
Parallel analysis of technology system - human
0.005
Identify locking effects and possible discrepancies with reduction
0.014
Identify synergies with other city policies, value added estimation
0.015
Dependence on local ecosystems
Flood control
0.012
Bioclimatic design and management
0.006
Resilience components
Sub-components of resilience
Weight
Variety
Spatial diversity - key assets and tasks that are physically distributed and not all of them are affected by a specific event at any time
0.0146
Functional Diversity - Multiple methods of dealing with a particular need
0.021
Balance variation with potential cascading effects
0.013
Learning-Memory - Prediction
Learn from past experiences and failures
0.003
Use information and experience to create fresh compatibility
0.003
Avoid repeating past mistakes
0.005
Collect, store, and share experiences
0.009
Construction based on long-term value and city history
0.007
Integrate resilience into long-term development scenarios
0.02
Function
Performance capacity
0.056
System quality in a suitable and efficient way
0.013
Self-sufficiency - reducing external dependence
0.019
It performs better than other buildings
0.039
Response speed
In taking casualties, including mortality and disease
0.007
Reorganize
0.015
Maintain performance and re-establish it
0.032
Restore structure
0.017
Establish public order
0.013
Prevent disruption in the future
0.005
Redundancy - fragmentation
Systems replacement or systems agents
0.054
Buffer from external shocks or changes in demand
0.013
Replacing components with modular parts
0.026
Balance redundancy with potential cascading effects
0.077
plan
Identify and predict problems
0.013
Prioritize
0.011
Mobilize resources of visualization, planning, collaboration and action
0.014
re-evaluation
0.006
Integrate resilience into work and management processes
0.052
Getting cooperation from citizens
0.03
Strength
Surface resistance to stress
0.003
No degradation and loss of performance
0.015
Capacities that ensure adequate margins
0.006
Keywords
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