Integrating the pressure-state-response model with the extension catastrophe progression for flood risk and resilience assessment

Despite the devastating effects of floods, the concept of resilience is still not fully considered in the assessment and management of flood risk. To study how resilience can lower the risk of floods and further enhance disaster response, this research aims to close this knowledge gap. With a focus on the Kashkan watershed in Iran, the study combines the extended catastrophe progression method with the pressure-state-response model. Three catastrophe models, namely the cusp, swallowtail, and butterfly, are applied. According to the findings, southern regions, i.e., Pol-Dokhtar city, have the highest risk of floods and the lowest resilience. Resilience and flood risk have a complementary relationship, according to the analysis, and resilience is a helpful metric for risk assessment. The results emphasize the necessity to incorporate resilience-focused pre-disruption planning and post-disaster recovery into flood risk management strategy. This work offers a foundation to incorporate resilience into future flood policies and strategies. • Developing comprehensive flood risk assessment framework with PSR & ECP models. • Considering flood resilience as key factor in risk assessment. • Exploring relationship between resilience & risk in Kashkan watershed. • Producing rigorous, quantitative investigation of risk & resilience. • Found southern areas of the Kashkan Basin are most vulnerable due to low resilience-high risk.

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Publication Details

Journal
Environmental and Sustainability Indicators
Published
2025-05-19
DOI
https://doi.org/10.1016/j.indic.2025.100727
Citations
1
Primary Topic
Flood Risk Assessment and Management
Type
article
Field-Weighted Citation Impact
1.11

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article

Integrating the pressure-state-response model with the extension catastrophe progression for flood risk and resilience assessment

Shahab S. Band, Sultan Noman Qasem, Hao-Ting Pai, Meghdad Biyari et al.
1 citations
Environmental and Sustainability Indicators
Flood Risk Assessment and Management
1.11
article

Integrating the pressure-state-response model with the extension catastrophe progression for flood risk and resilience assessment

Shahab S. Band, Sultan Noman Qasem, Hao-Ting Pai, Meghdad Biyari, S. M. Ali Eslami, Zulkefli Mansor, Brij B. Gupta, Farzaneh Sajedi Hosseini, Amir Mosavi
article en
1 citations

Abstract

Despite the devastating effects of floods, the concept of resilience is still not fully considered in the assessment and management of flood risk. To study how resilience can lower the risk of floods and further enhance disaster response, this research aims to close this knowledge gap. With a focus on the Kashkan watershed in Iran, the study combines the extended catastrophe progression method with the pressure-state-response model. Three catastrophe models, namely the cusp, swallowtail, and butterfly, are applied. According to the findings, southern regions, i.e., Pol-Dokhtar city, have the highest risk of floods and the lowest resilience. Resilience and flood risk have a complementary relationship, according to the analysis, and resilience is a helpful metric for risk assessment. The results emphasize the necessity to incorporate resilience-focused pre-disruption planning and post-disaster recovery into flood risk management strategy. This work offers a foundation to incorporate resilience into future flood policies and strategies. • Developing comprehensive flood risk assessment framework with PSR & ECP models. • Considering flood resilience as key factor in risk assessment. • Exploring relationship between resilience & risk in Kashkan watershed. • Producing rigorous, quantitative investigation of risk & resilience. • Found southern areas of the Kashkan Basin are most vulnerable due to low resilience-high risk.

Environmental and Sustainability IndicatorsVol. 27
Obuda University (HU), Stevens Institute of Technology (US), National Pingtung University (TW), Ludovika University of Public Service (HU), Asia University (TW), Korea University (KR), University of Tehran (IR), Imam Mohammad ibn Saud Islamic University (SA), Symbiosis International University (IN), Abylkas Saginov Karaganda Technical University (KZ), National Yunlin University of Science and Technology (TW), National University of Malaysia (MY)
National Science Foundation, Iran National Science Foundation, National Science and Technology Council
Climate action
Openalex Percentile: Top 24%
Flood Risk Assessment and Management
1.11
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