Figure - available from: Sustainability
This content is subject to copyright.
Study area (top: digital elevation map of the study area; bottom: detail showing the terrain elevation in the low area).
Source publication
Flooding is a truly ubiquitous problem. Today, it puts an estimated 1.81 billion people at risk. Floods particularly affect coastal cities, where it is expected that the damage associated with inundations exceed the staggering value of USD 50 billion by 2050. Indeed, the risk associated with flooding in coastal cities is increasing due to three une...
Citations
... Urban and rural areas, on the other hand, are analyzed in terms of farmers' perceptions of climate change and their information-sharing networks using mobile phones [15]. Contributions of climate change to natural hazards' compounding events, such as rainfall and tidal waves, are analyzed for coastal cities such as Maputo [16]. Research on climate change in Mozambique covers sustainable livelihoods, especially vulnerable populations, agriculture, droughts, storms, and floods [17]. ...
... A bibliometric cluster analysis of co-occurrences of keywords was conducted with the help of the VOSviewer tool, version 1.6.20. Parts of the functionality of the open-source tool have been used, but it was mainly used to generate systematic keyword occurrence data and was analyzed further using Excel, version 16 Mozambique has high population growth rates and young segments of society [48]. Population and related urban growth are to be expected, as well as a transition from rural to urban livelihoods. ...
Mozambique is confronted with numerous risks related to food security and natural disasters. The study conducted a literature review on natural hazards and food security. This can help to identify gaps and further areas of research. A bibliometric analysis was conducted using standardized text search terms, and the VOSviewer tool was used to analyze over 7000 scientific articles and cluster over 60,000 keyword co-occurrences. The results show that research on natural hazards for food security needs to be integrated. The priority topic of disasters focuses on specific hazards such as climate change, floods, and hurricanes, which are also linked to demographic and other social variables. More studies on food security, such as droughts, sustainable development, and other human and social conditions, are being conducted. Resilience as an emerging research paradigm needs to be addressed in comparison. One result is an analytical framework on impacts on food security in the context of disaster risk, based on the empirical findings of the literature review. It shows how everyday risks such as disease or food security can be conceptually better linked to natural hazards and resilience. It shows that further research is needed on the interlinkages of multiple risks, of which Mozambique is an outstanding example. The methodology presented is also applied to provide a framework for linking multiple risks to food security and natural hazards. The innovative dimension of the research is that this inquiry constitutes one of the pioneering attempts to conduct a bibliometric analysis of the linkages between natural hazards, food security, and resilience in Mozambique. Another noteworthy contribution is introducing a novel analytical framework that integrates food security and disaster risks.
... The combined effect of SLR and future precipitation changes raised the flood depth by 34.9%, indicating that future rainfall changes have a greater impact on floodwaters in the study area than SLR. Several researchers have used the SWMM model to analyze the risk of compound floods under extreme rainfall and urbanization scenarios [65,90]. ...
Many cities worldwide are increasingly threatened by compound floods resulting from the interaction of multiple flood drivers. Simultaneously, rapid urbanization in coastal areas, which increases the proportion of impervious surfaces, has made the mechanisms and simulation methods of compound flood disasters more complex. This study employs a comprehensive literature review to analyze 64 articles on compound flood risk under climate change from the Web of Science Core Collection from 2014 to 2024. The review identifies methods for quantifying the impact of climate change factors such as sea level rise, storm surges, and extreme rainfall, as well as urbanization factors like land subsidence, impervious surfaces, and drainage systems on compound floods. Four commonly used quantitative methods for studying compound floods are discussed: statistical models, numerical models, machine learning models, and coupled models. Due to the complex structure and high computational demand of three-dimensional joint probability statistical models, along with the increasing number of flood drivers complicating the grid interfaces and frameworks for coupling different numerical models, most current research focuses on the superposition of two disaster-causing factors. The joint impact of three or more climate change-driving factors on compound flood disasters is emerging as a significant future research trend. Furthermore, urbanization factors are often overlooked in compound flood studies and should be considered when establishing models. Future research should focus on exploring coupled numerical models, statistical models, and machine learning models to better simulate, predict, and understand the mechanisms, evolution processes, and disaster ranges of compound floods under climate change.
Tackling the growing risks of Compound Flooding (CF) requires transformative preparedness strategies, particularly in estuarine and coastal regions, where interaction of drivers such as storm surges, rainfall, and river discharge exacerbates impacts. Despite progress, fragmented governance, sectoral silos, and the limited integration of scientific insights hinder effective responses. This review explores how preparedness strategies are evolving to integrate technical, environmental, and social dimensions while evaluating the role of governance and collaboration in enhancing adaptive approaches. Hybrid early warning systems combining statistical and hydrodynamic models with real-time data are critical for forecast accuracy and timely decision-making. Balanced implementation of green, blue, and gray infrastructure provides sustainable responses, with nature-based solutions complementing traditional engineering to address the unique challenges of CF. Strengthening governance and communication is essential to improve preparedness. Co-produced strategies engaging governments, communities, and private actors foster inclusive, locally relevant efforts. Involving communities in land-use planning, building regulations, and communication ensures measures are both actionable and context-specific. Incorporating psychological and behavioral insights into preparedness frameworks helps translate awareness into effective actions. By embracing the complexity of CF, preparedness can transcend fragmented approaches, integrating scientific innovation, adaptive governance, and tailored strategies that foster resilience in the face of a changing climate.
