Journal of Flood Risk Management最新文献

{"title":"Impact of Spatial Distribution Methods for Rainfall on Flash Floods Modelling Using a Hydrodynamic Model","authors":"Nan Sun,&nbsp;Wei Huang,&nbsp;Maggie Creed,&nbsp;Xihuan Sun","doi":"10.1111/jfr3.70010","DOIUrl":"https://doi.org/10.1111/jfr3.70010","url":null,"abstract":"<p>In small mountain catchments, the spatial and temporal resolution of rainfall can vary significantly across the catchment. However, rainfall gauging stations can be sparse in these regions, and collected data may not reflect the real rainfall distribution across the catchment. When modelling flash floods, finding a suitable approach to estimate the actual rainfall distribution is nontrivial. In this study, the effectiveness of different methods for obtaining a spatial and temporal rainfall distribution for use in numerical modelling of flash floods was investigated using a full two-dimensional depth-averaged shallow-water hydrodynamic model. It was demonstrated that the Thiessen polygon method and the inverse distance weighted interpolation method (IDW), with appropriate empirical coefficients, produce results in agreement with observed stage and discharge hydrographs. We show that the uniform distribution method cannot be used to represent realistic spatial and temporal variability of rainfall for flash flood events in small mountain catchments. By combining available data with the common IDW method, missing rainfall timeseries data in a small catchment can be estimated, even for short-duration time scales, such as a single flash flood event.</p>","PeriodicalId":49294,"journal":{"name":"Journal of Flood Risk Management","volume":"18 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jfr3.70010","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143404502","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Streamflow Intervals Prediction Using Coupled Autoregressive Conditionally Heteroscedastic With Bootstrap Model","authors":"Bugrayhan Bickici,&nbsp;Beste Hamiye Beyaztas,&nbsp;Zaher Mundher Yaseen,&nbsp;Ufuk Beyaztas,&nbsp;Ercan Kahya","doi":"10.1111/jfr3.70009","DOIUrl":"https://doi.org/10.1111/jfr3.70009","url":null,"abstract":"<p>Streamflow (<i>Q</i>_<i>flow</i>) process is one of the complex stochastic processes in the hydrology cycle owing to its associated non-linearity and non-stationarity characteristics. It is an essential hydrological process to address the complex time series nonlinear phenomena. In this research, a novel approach was proposed by integrating an autoregressive conditionally heteroscedastic (ARCH) method with bootstrap model to predict future <i>Q</i>_<i>flow</i> intervals. For this purpose, two <i>Q</i>_<i>flow</i> series located at the Eastern Black Sea basin (Turkey) were subjected to the application of the proposed methodology. Among other regression and machine learning (ML) models, which are suitable for <i>Q</i>_<i>flow</i> modeling, the autoregressive integrated moving average (ARIMA), seasonal autoregressive integrated moving average (SARIMA), and artificial neural network (ANN) were selected for modeling validation in this study. A group of three numerical metrics and graphical presentations were used for the modeling evaluation and assessment. The proposed ARCH approach performed a superior mathematical model to address the <i>Q</i>_<i>flow</i> interval prediction. Remarkable prediction accuracy was shown against the benchmark models. Overall, the approach of coupling the bootstrap procedure with the ARCH model exhibited a robust modeling strategy for predicting <i>Q</i>_<i>flow</i> intervals suggested as a new analysis tool.</p>","PeriodicalId":49294,"journal":{"name":"Journal of Flood Risk Management","volume":"18 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jfr3.70009","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143404436","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Caring, Coping and Rebuilding—The Role of Social Infrastructure During and After the 2021 Flood Event in Germany","authors":"Danny Otto,&nbsp;Zora Reckhaus,&nbsp;Christian Kuhlicke","doi":"10.1111/jfr3.70007","DOIUrl":"https://doi.org/10.1111/jfr3.70007","url":null,"abstract":"<p>Previous research has indicated the important role of social infrastructures during and after flood events. While struggling to uphold their caring responsibilities, they are also deemed relevant for coping and rebuilding after a disaster. We revisit this line of argument for the 2021 flood event in western Germany to deepen the understanding of the societal dimension of caring, coping and rebuilding (CCR) in and after flood events. Based on 21 semi-structured interviews in three case study regions, we analyse how social infrastructures were affected during the flood, their contribution to resilience in the acute and rebuilding phases, and factors influencing their response to extreme events. Moving beyond the conventional focus on technical solutions for flood management, our study examines the significant societal aspects of responding to and recovering from flood events. Our research empirically underscores the critical role of social infrastructure during and after flood events. Recognising the assistance provided by these infrastructures, our findings offer a basis for policy recommendations. Ensuring sufficient financial and political support for social infrastructures is crucial, as is actively involving them in rebuilding initiatives. These measures are vital for facilitating the expansion of social infrastructure and enhancing its resilience potential during flood events.</p>","PeriodicalId":49294,"journal":{"name":"Journal of Flood Risk Management","volume":"18 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jfr3.70007","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143248383","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Urban Flood Exposure and Vulnerability: Insights From Pendik District of Istanbul","authors":"Ozge Naz Pala,&nbsp;Irem Daloglu Cetinkaya,&nbsp;Mahir Yazar","doi":"10.1111/jfr3.70000","DOIUrl":"https://doi.org/10.1111/jfr3.70000","url":null,"abstract":"<p>Cities striving to adapt to the impacts of climate change must recognize the significant variability in flood vulnerability across different communities. By examining the interplay between physical and socio-demographic factors, this paper provides a comprehensive overview of the multidimensional aspects of flood exposure and vulnerability in Istanbul's Pendik District. The Pendik District, situated within the Istanbul Metropolitan Area, was chosen for this study as it regularly faces floods exacerbated by climate change. Utilizing a mixed-methodology approach, ranging from the analytic hierarchy process (AHP) to surveys and census data, we find that areas classified as flood-prone have residential units with lower land market values. Additionally, these high flood-prone areas within the district tend to be populated by elderly individuals, refugees, and citizens with low education levels. In sum, this study reveals that there is a sharp correlation between socio-economically disadvantaged communities and their exposure and vulnerability to urban flooding in Pendik District. As long as the current urban design and building stock fail to address the high level of flood exposure among the most disadvantaged urban communities, there is a critical need for inclusive urban planning and disaster management strategies.</p>","PeriodicalId":49294,"journal":{"name":"Journal of Flood Risk Management","volume":"18 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jfr3.70000","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143118118","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Investigating the Condition and Flood Effects of Undocumented Levees, A Case Study Within the Waimea Floodplain","authors":"Thomas Wallace,&nbsp;Kaley Crawford-Flett,&nbsp;Matthew Wilson,&nbsp;Tom Logan","doi":"10.1111/jfr3.70004","DOIUrl":"https://doi.org/10.1111/jfr3.70004","url":null,"abstract":"<p>Levees play a crucial role in flood protection, but globally, there is a need for more knowledge about levee networks and their flood routing effects. Without complete knowledge, the question arises: ‘What is the flood risk associated with an unknown or partially known levee portfolio?’ Unknown or undocumented levees can be maladaptive and undermine system resilience. However, current literature often does not acknowledge undocumented levees, assuming all assets are known. A greater understanding would provide insight into present vulnerabilities and enable more complete management of our flood protection systems, reducing communities' risk. Our research assessed the physical condition of two undocumented levees in a case study. Computational flood modelling then simulated (1) their present condition, (2) their removal and (3) their reconstruction to a good physical condition. This determined their effect on inundation area and building damages, allowing their classification. The undocumented levees in the case study were significantly degraded, leading to an insignificant impact on flood routing and flood damages in their present state. However, if reconstructed, the levees could be valuable if the surrounding land were developed. More broadly, this study illustrates the importance of identifying and integrating undocumented levees into network modelling and maintenance.</p>","PeriodicalId":49294,"journal":{"name":"Journal of Flood Risk Management","volume":"18 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jfr3.70004","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143117561","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"From warm seas to flooded streets: The impact of sea surface temperature on cutoff low and extreme rainfall in Valencia, Spain","authors":"Afshin Amiri,&nbsp;Silvio Jose Gumiere,&nbsp;Bahram Gharabaghi,&nbsp;Hossein Bonakdari","doi":"10.1111/jfr3.13055","DOIUrl":"https://doi.org/10.1111/jfr3.13055","url":null,"abstract":"&lt;p&gt;The catastrophic October 2024 flood in Valencia, Spain, highlights the increasing risk of extreme weather due to global climate change. The frequency of extreme weather events, including floods, has significantly risen in recent decades, with climate change as a primary driver (Bolan et al., &lt;span&gt;2023&lt;/span&gt;; Easterling et al., &lt;span&gt;2000&lt;/span&gt;; Newman &amp; Noy, &lt;span&gt;2023&lt;/span&gt;). Rising global temperatures and atmospheric energy have intensified rainfall events (Al-Ghussain, &lt;span&gt;2018&lt;/span&gt;; Karl &amp; Trenberth, &lt;span&gt;2003&lt;/span&gt;), with cutoff low-pressure systems (COLs) playing a notable role. COLs are cold-cored systems in the mid-troposphere, often marked by a sharp temperature gradient on their eastern side (Nieto et al., &lt;span&gt;2008&lt;/span&gt;). Key regions prone to COLs include southern Europe, the eastern Atlantic, the eastern North Pacific, and areas from northern China through Siberia (Nieto et al., &lt;span&gt;2005&lt;/span&gt;). In particular, southern Europe and the eastern Atlantic are highly vulnerable to COL-driven heavy rainfall. The El Niño–Southern Oscillation (ENSO) further influences COL activity by altering large-scale atmospheric circulation and sea surface temperatures (SSTs) (Pinheiro et al., &lt;span&gt;2022&lt;/span&gt;). During ENSO events, SST shifts increase the probability of COL formation, leading to extreme rainfall (Ferreira, &lt;span&gt;2021&lt;/span&gt;). Climate projections suggest that COL-induced precipitation could rise significantly with continued warming, increasing flood risks in regions like eastern Spain, including Valencia. Warmer SSTs enhance moisture convergence in COLs, fueling convective cloud formation and intense precipitation (Pinheiro et al., &lt;span&gt;2022&lt;/span&gt;). Thus, changes in SSTs directly link warming oceans to the intensification of flood events, as exemplified in Valencia. This study underscores the need for improved flood forecasting and urban resilience planning to address escalating climate-induced hazards.&lt;/p&gt;&lt;p&gt;On October 29, 2024, a cold drop event involving COLs led to severe flash flooding across southern and southeastern Spain, with Valencia experiencing significant impacts. Rainfall exceeded historical records, overwhelming flood infrastructure. In the Júcar Basin, a crucial water resource in eastern Spain, accumulated rainfall reached 107.43 mm between October 29 and November 1, 2024, with a maximum of 610.9 mm recorded by GSMaP data. The basin received an estimated 4.453 billion cubic meters of water, surpassing drainage capacities and causing widespread inundation and structural damage. Extensive human and economic losses affected homes, businesses, and infrastructure across eastern, southeastern, and southern Spain, severely impacting transportation, agriculture, and daily life.&lt;/p&gt;&lt;p&gt;Figure 1a presents Sentinel-2 satellite images illustrating the conditions in southern Valencia before and after the recent flood, with the city itself located in the map's northern section. A false-color combination (Bands","PeriodicalId":49294,"journal":{"name":"Journal of Flood Risk Management","volume":"18 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jfr3.13055","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143115519","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Flood Frequency Analysis in West Africa","authors":"Serigne Bassirou Diop,&nbsp;Yves Tramblay,&nbsp;Ansoumana Bodian,&nbsp;Job Ekolu,&nbsp;Nathalie Rouché,&nbsp;Bastien Dieppois","doi":"10.1111/jfr3.70001","DOIUrl":"https://doi.org/10.1111/jfr3.70001","url":null,"abstract":"<p>Devastating flood events are recurrently impacting West Africa. To mitigate flood impacts and reduce the vulnerability of populations, a better knowledge on the frequency of these events is crucial. The lack of reliable hydrometric datasets has hitherto been a major limitation in flood frequency analysis at the scale of West Africa. Utilising a recently developed African database, we perform a flood frequency analysis on the annual maximum flow (AMF) time series, covering 246 river basins in West Africa, between 1975 and 2018. Generalized extreme value (GEV) and Gumbel probability distributions were compared to fit AMF time series with the L-moments, Maximum Likelihood (MLE) and Generalized Maximum Likelihood (GMLE) methods. Results indicated that the GEV distribution with the GMLE method provided the best results. Regional envelope curves covering the entire West African region with unprecedented data coverage have been generated for the first-time providing insights for the estimation in flood quantiles for ungauged basins. The correlation between flood quantiles and watershed properties shows significant correlations with catchment area, groundwater storage, altitude and topographic wetness index. The findings from this study are useful for a better flood risk assessment and the design of hydraulic infrastructures in this region, and are a first step prior to the development of regional approaches to transfer the information from gauged sites to ungauged catchments.</p>","PeriodicalId":49294,"journal":{"name":"Journal of Flood Risk Management","volume":"18 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jfr3.70001","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143115520","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Probabilistic Flood Hazard Assessment for Multiple Flood and Levee Breaching Scenarios: A Case Study of Etobicoke Creek, Canada","authors":"Florence Mainguenaud,&nbsp;Usman T. Khan,&nbsp;Laurent Peyras,&nbsp;Claudio Carvajal,&nbsp;Bruno Beullac,&nbsp;Jitendra Sharma","doi":"10.1111/jfr3.70002","DOIUrl":"https://doi.org/10.1111/jfr3.70002","url":null,"abstract":"<p>Flood hazard assessment is crucial to mitigate the risks associated with flooding. Integrating levee failure scenarios into these assessments should improve the evaluation of flood risks and enhance the resilience of communities and infrastructure. This research presents a probabilistic flood hazard approach to assess levee failure and its impact on flood hazard. Our method includes a comprehensive assessment of backward erosion and overflowing failure mechanisms, integrated within a 1D/2D hydraulic model that simulates flood propagation and levee breaching. We calculate the cumulative probability of flood depth and velocity considering various scenarios, taking into account levee failure breaching for various failure mechanisms and several flood intensities. We apply the method to a residential area along Etobicoke Creek in Ontario, Canada. The results highlight which levee segment has the most impact on flood hazard, emphasizing the importance of incorporating levee failure scenarios in flood hazard assessments. The cumulative probability curve provides a more holistic result in locating the most hazardous areas rather than considering one return period or one failure mechanism. It can be expended to every location of the protected area, allowing for the creation of a probabilistic map for a desired probability.</p>","PeriodicalId":49294,"journal":{"name":"Journal of Flood Risk Management","volume":"18 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jfr3.70002","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143115385","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Improving the Accuracy of Flood Damage Assessments to Residential Structures via the Use of Experimental Data","authors":"Anna Katya Opel,&nbsp;Elizabeth Chisolm Matthews","doi":"10.1111/jfr3.70003","DOIUrl":"https://doi.org/10.1111/jfr3.70003","url":null,"abstract":"<p>The current practice of flood loss prediction presents limitations in accurately predicting building flood losses at multiple scales. While whole-building estimates can more accurately predict high-level losses (i.e., large groups of buildings), a significant analysis error is revealed with small-scale (i.e., individual, or small groups of buildings) investigation. This research presents a more robust, data driven, small-scale, flood damage estimation approach for residential buildings. The approach is based on component-level, depth–damage curves derived from experimental analysis. Structures with standard residential construction materials typical to the south-eastern United States were built and incrementally flooded for short durations. The materials were assessed to determine the level of damage inflicted. This experimentally derived damage data were then translated into a set of flood depth–damage functions (DDFs). The DDFs were tailored for analysis at smaller scales and incorporated the ability to apply damage uncertainty in damage analysis. To demonstrate the applicability of the experimentally derived DDFs to damage estimation at smaller scales, the functions are applied to a hypothetical building design typical of the south-eastern United States.</p>","PeriodicalId":49294,"journal":{"name":"Journal of Flood Risk Management","volume":"18 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jfr3.70003","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143115395","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Managing the health effects of floods in Libya","authors":"Faisal Ismail,&nbsp;Atiya Farag,&nbsp;Soghra Haq","doi":"10.1111/jfr3.13054","DOIUrl":"https://doi.org/10.1111/jfr3.13054","url":null,"abstract":"&lt;p&gt;In recent years, climate change has led to unusual weather events such as extreme rainfall, storms, and drought in several parts of the world (Kundzewicz et al., &lt;span&gt;2014&lt;/span&gt;). Although Libya is not considered a flood-prone region; on Sunday 10 September 2023, Storm Daniel struck the eastern parts of the country and caused the most catastrophic floods in the country's history. Several Libyan cities were affected, although none were as severely damaged as Derna City. In Derna, the two main dams collapsed, causing huge amounts of water to flood several neighborhoods resulting in thousands of victims being killed, thousands more missing, and tens of thousands of people being displaced to live in shelters. The catastrophic storm also caused massive destruction of buildings and vital infrastructure including roads, bridges, and healthcare facilities (Marshall, &lt;span&gt;2023&lt;/span&gt;; World Health Organization, &lt;span&gt;2023&lt;/span&gt;).&lt;/p&gt;&lt;p&gt;Several factors contributed to this indescribable damage, including the negligence of maintenance of dams and roads, the urban sprawl to flood-prone regions, the political and military conflict in the country, corruption and poor preparedness, and weak response to international storm warnings. All of these factors combined, supported by the heavy precipitation, led to an unprecedented disaster in the country's history. Furthermore, such disasters and emergencies are likely to affect the health system infrastructure and supply, thereby reducing the ability to provide health services to the affected areas. In addition, the drowning and physical injuries; as well as other health-related consequences such as infections, psychological effects, and malnutrition may follow (Paterson et al., &lt;span&gt;2018&lt;/span&gt;).&lt;/p&gt;&lt;p&gt;As the country is not usually susceptible to flooding, there was no official public health response plan in place. However, to better manage the health consequences of these floods, a team of experts and literature reviews have brought together a summary of the most important health measures to inform a flood health response plan (Fatemi &amp; Moslehi, &lt;span&gt;2022&lt;/span&gt;; World Health Organization, &lt;span&gt;2017&lt;/span&gt;).&lt;/p&gt;&lt;p&gt;However, several factors may create significant challenges for emergency response, including communication and transportation disruptions due to the damage to the roads, the power supply, and the communications networks, which would make it difficult for rescue teams to reach the affected areas and to contact those who need assistance. Inadequate resources are another major challenge, such as a shortage of personnel, equipment, medical supplies, emergency shelters, water testing kits, chemicals for vector control, and so forth. Other challenges can result from the government's slow response to the emergency, the emergency response organization, volunteers' coordination, providing resources to support the emergency aid, and calling on wider assistance if needed.&lt;/p&gt;&lt;p&gt;This study sought to provi","PeriodicalId":49294,"journal":{"name":"Journal of Flood Risk Management","volume":"18 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jfr3.13054","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143114904","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}