Abstract

Flood risk is a significant challenge for sustainable spatial planning, particularly concerning climate change and urbanization. Phrasing suitable land planning strategies requires assessing future flood risk and predicting the impact of urban sprawl. This study aims to develop an innovative approach combining land use change and hydraulic models to explore future urban flood risk, aiming to reduce it under different vulnerability and exposure scenarios. SPOT-3 and Sentinel-2 images were processed and classified to create land cover maps for 1995 and 2019, and these were used to predict the 2040 land cover using the Land Change Modeler Module of Terrset. Flood risk was computed by combining hazard, exposure, and vulnerability using hydrodynamic modeling and the Analytic Hierarchy Process method. We have compared flood risk in 1995, 2019, and 2040. Although flood risk increases with urbanization, population density, and the number of hospitals in the flood plain, especially in the coastal region, the area exposed to high and very high risks decreases due to a reduction in poverty rate. This study can provide a theoretical framework supporting climate change related to risk assessment in other metropolitan regions. Methodologically, it underlines the importance of using satellite imagery and the continuity of data in the planning-related decision-making process.

Highlights

  • IntroductionFloods are a frequent and damaging natural disaster that negatively impacts the socioeconomic development and lives of millions of people worldwide [1,2,3,4,5]

  • While this study explicitly examines flood risk in a catchment located in Vietnam, the findings are of importance to other rapidly evolving countries affected by floods and experiencing urban growth

  • This study presents a new approach to flood risk assessment by integrating hydraulic modeling, population and land cover change analysis and prediction, and socioeconomic changes to better predict flood risk assessment in urban areas

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Summary

Introduction

Floods are a frequent and damaging natural disaster that negatively impacts the socioeconomic development and lives of millions of people worldwide [1,2,3,4,5]. It is estimated that between 1990 and 2016, worldwide losses from flood damage amounted to USD. Due to population growth and climate change, urban areas in particular are expected to be seriously threatened by the effects of increased flood intensity and frequency [7,8,9,10]. 40% of the world’s cities will be in areas under high

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