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Journal Article

Citation

Mabrouk M, Haoying H. Int. J. Disaster Risk Reduct. 2023; 91: e103684.

Copyright

(Copyright © 2023, Elsevier Publishing)

DOI

10.1016/j.ijdrr.2023.103684

PMID

unavailable

Abstract

As cities are vulnerable to diverse climate threats, operationalizing cities efficiently by addressing flood risk becomes an irreversible step. So, our research developed a multicriteria paradigm for identifying " where are flooding-exposed risky districts that should be prioritized for intervention?" based on two powerful indicators: flood vulnerability and flood exposure. Our methodology was tested in Alexandria, Egypt, which experiences the harshest rainfall annually and variations in socioeconomic and urban patterns like most global cities. One hundred thirteen climate-related Egyptian experts evaluated 44 flood risk-related indicators; the indicators were ranked using fuzzy AHP, followed by the differentiation of regions using TOPSIS, VIKOR, and WSM methods. Finally, map risky districts using interrelated horizontal layers of indicators. Our findings indicate that the spatial distribution of flood-prone districts increased in proximity to the traditional patterns of the city center and decreased when moving towards the dispersed patterns of the city's outskirts, indicating that urban form is a more effective indicator and has dual aspect effects (increase and decrease) in flood reduction when combined with other non-spatial indicators. Finally, a validation study was conducted to define the spatial congruency or mismatch between the simulated and realistic conditions. So, based on runoff data from 2015 to 2021, a deterministic coefficient (RC) and Nash-Sutcliffe efficiency (NSE) index were calculated with values of 0.89 and 0.93, respectively, indicating our analysis performed well. Our approach may assist policymakers in overcoming the shortage of data for contingency planning, especially in developing countries.


Language: en

Keywords

Alexandria; Climate change; Flood vulnerability; MCDM; Resiliency; Urban form; Urban planning

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