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Open research questions in Flood Risk Assessment and Management

254 unresolved questions extracted from the limitations and future-work sections of 1,183 Flood Risk Assessment and Management papers in our library. Each links back to the study that raised it.

What the literature leaves open

  • The current approach to coastal protection often relies on precautionary measures, which can be costly and ineffective. There is a need for a more cost-effective approach that balances the cost of seawalls with the expected residual flood damage. The literature lacks a comprehensive evaluation of the effectiveness of different coastal protection strategies.

    Adapting to sea level rise and storms · 2026 · DOI

  • Most existing multi-criteria group decision-making approaches suffer from limitations in decision-makers' expressive capacity. The loss of uncertain information is a significant issue in multi-criteria group decision-making. Few studies have focused on the scope of evaluative information selection in group decision-making and the full-process management of complex uncertainties.

    Hybrid Probabilistic Information Set and Multi-Criteria Group Decision-Making Approach: A Case Study to EvaluateUrban Flood Resilience · 2026 · DOI

  • The paper identifies the challenge of uneven recovery and syndemic health risks in low-income, historically marginalized neighborhoods. It highlights the challenge of cultural displacement and the need to consider the lived experiences of communities. The study notes the challenge of adapting to flooding in areas with limited internet access and digital literacy.

    Tangible and Intangible Impacts of Flooding in Miami-Dade County: a Human-Centered Analysis · 2026 · DOI

  • Conventional flood assessments neglect the lived and intangible dimensions of risk. There is a disconnect between technical adaptation frameworks and the lived experiences of communities. The paper identifies a gap in understanding the experiences of flooding in low-income, historically marginalized neighborhoods.

    Tangible and Intangible Impacts of Flooding in Miami-Dade County: a Human-Centered Analysis · 2026 · DOI

  • There is a need for a comprehensive understanding of the socio-ecological dimensions of flood-food risks in the Haor wetlands of Bangladesh. Prior work has highlighted the importance of developing a multi-index assessment framework to evaluate household resilience and vulnerability.

    Socio-Ecological Dimensions of Flood–Food Risks: A Multi-Index Assessment of Household Resilience and Vulnerability in a Climate-Sensitive Wetland of Bangladesh · 2026 · DOI

  • The study identifies the challenge of limited measures to reduce flood risks in the communities. The study highlights the challenge of climate change and seasonal weather variations in compounding flood risks. The study also identifies the challenge of unsustainable human activities, such as land clearing for crop cultivation and livestock rearing, in exacerbating flood risks.

    Assessing Community-Based Flood Disaster Risk Reduction Around Lake Bassotu in Hanang District, Tanzania · 2026 · DOI

  • The study did not examine the epidemiological relationship between water handling practices and disease incidence, - The study was limited to a specific area, Bassotu Village, - The study relied on self-reported data from respondents

    Assessing Community-Based Flood Disaster Risk Reduction Around Lake Bassotu in Hanang District, Tanzania · 2026 · DOI

  • The study only used 714 cultural heritage sites, - The sample distribution was imbalanced, - The study did not compare machine learning algorithms, - The study was limited to a specific context

    Site-Oriented Surrogate Modeling Approach for Flood Risk Assessment: A Case Study of Cultural Heritage Sites in Shanghai · 2026 · DOI

  • Validating the approach in other contexts, - Applying the approach to multi-scenario risk analyses, - Developing POI-oriented surrogate models, - Extending the approach to other types of spatially discrete objects

    Site-Oriented Surrogate Modeling Approach for Flood Risk Assessment: A Case Study of Cultural Heritage Sites in Shanghai · 2026 · DOI

  • integrating social and environmental data and methods - characterizing coastal access areas due to lack of data - estimating the economic value of coastal access areas using revealed preference methods

    Public coastal access at risk: integrating social and environmental data to assess vulnerability to sea level rise · 2026 · DOI

  • lack of data to effectively characterize coastal access areas - limited ability to develop a more informed understanding of their vulnerability to sea level rise - need for a method to quantify the economic value at risk under different inundation scenarios

    Public coastal access at risk: integrating social and environmental data to assess vulnerability to sea level rise · 2026 · DOI

  • Limited hydrometric monitoring in Nigeria. The need for a standard or consistent nationwide assessment method for flood susceptibility. The challenge of working in data-sparse environments.

    National-Scale Flood Susceptibility Mapping of Nigeria Using Statistical and Machine Learning Models with Satellite-Driven Validation for Data-Sparse Environments · 2026 · DOI

  • Optimization of an operational probability threshold for the LR model, - Further evaluation of the performance of the models using different datasets and study areas, - Investigation of the impact of climate change on flood susceptibility in Nigeria

    National-Scale Flood Susceptibility Mapping of Nigeria Using Statistical and Machine Learning Models with Satellite-Driven Validation for Data-Sparse Environments · 2026 · DOI

  • A matched common-support ablation remains future work. Identifying a single sensing factor as the source of any gain is not supported by the available outputs.

    Building-Scale GeoAI for Short-Horizon Urban Inundation Prediction Under Sparse Labels and Distribution Shift: A Multi-Event Evaluation of Predictive Capability Boundaries in Taipei · 2026 · DOI

  • The lack of effective methods for predicting urban inundation in real-time. The need for a building-scale GeoAI decision-support prototype that can integrate various data sources and machine learning models.

    Building-Scale GeoAI for Short-Horizon Urban Inundation Prediction Under Sparse Labels and Distribution Shift: A Multi-Event Evaluation of Predictive Capability Boundaries in Taipei · 2026 · DOI

  • The study identifies the challenge of implementing flood resilience techniques in regions where such construction practices are not vernacular. It also highlights the challenge of balancing the need for flood resilience with the need to preserve historic urban character. The study notes the challenge of making flood resilience techniques affordable for most residents.

    The Resilience of the Built Environment to Flooding: The Case of Alappuzha District in the South Indian State of Kerala · 2024 · DOI

  • The current literature does not address flood resilience in the existing housing stock and new construction in the Alappuzha District. There is a need for effective solutions for flood resilience in the region, particularly in the context of the Alappuzha District. The study aims to fill this gap by examining flood resilience in the built environment of Alappuzha.

    The Resilience of the Built Environment to Flooding: The Case of Alappuzha District in the South Indian State of Kerala · 2024 · DOI

  • Further research is needed to determine the optimal seawall height for different coastal cities - Research is needed to develop more accurate models of storm surges and their effects on coastal cities - More studies are needed to compare the effectiveness of different coastal protection strategies

    Adapting to sea level rise and storms · 2026 · DOI

  • Image velocimetry techniques offer a potential non‐contact alternative, yet operational adoption has been hindered by the lack of standardized, open‐source tools, particularly for Space–Time Image Velocimetry (STIV).

    IVyTools : Space–Time Image Velocimetry for Streamflow · 2026 · DOI

  • Flood impacts in Europe are considered to be increasing, but attribution of impacts to climatic and societal drivers of past floods has been limited to a selection of recent events.

    Attribution of flood impacts shows strong benefits of adaptation in Europe since 1950 · 2025 · DOI

  • A critical drawback of the latter is data loss due to cloud cover, however few studies have quantified this.

    Radar versus optical: The impact of cloud cover when mapping seasonal surface water for health applications in monsoon-affected India · 2025 · DOI

  • However, a more detailed quantitative analysis of such compounding effects and the implications of their interplay remains underexplored on a large scale.

    Compounding effects in flood drivers challenge estimates of extreme river floods · 2024 · DOI

  • Challenges such as limited data, uncertainty due to confidence bounds, and the overfitting problem are critical areas for improving accurate models.

    Uncertainty Reduction in Flood Susceptibility Mapping Using Random Forest and eXtreme Gradient Boosting Algorithms in Two Tropical Desert Cities, Shibam and Marib, Yemen · 2024 · DOI

  • However, flood monitoring and forecasting systems are lacking in most basins of Ethiopia including the Awash basin.

    Integrating Satellite Images and Machine Learning for Flood Prediction and Susceptibility Mapping for the Case of Amibara, Awash Basin, Ethiopia · 2024 · DOI

  • Remote sensing is also limited by the availability of images and weather conditions.

    A Novel Hybrid Deep-Learning Approach for Flood-Susceptibility Mapping · 2024 · DOI

Most-cited papers in Flood Risk Assessment and Management

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254 open questions have been extracted from the limitations and future-work passages of 1,183 Flood Risk Assessment and Management papers in our library. Each one below links back to the study that raised it, so you can read the original claim in context.

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