Journal of Flood Risk Management最新文献

{"title":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":49294,"journal":{"name":"Journal of Flood Risk Management","volume":"19 2","pages":""},"PeriodicalIF":3.0,"publicationDate":"2026-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148121592","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessing the Dynamic Resilience of Urban Road System: A Case Study of Xiamen City, China","authors":"Hongjie Huang,&nbsp;Shenghui Cui,&nbsp;Lihong Wang,&nbsp;Yin Zhang,&nbsp;Yunfeng Huang","doi":"10.1111/jfr3.70218","DOIUrl":"https://doi.org/10.1111/jfr3.70218","url":null,"abstract":"<p>Urban road system resilience is critical for managing extreme flood events, yet existing assessments predominantly focus on static indicators that capture inherent system capacity rather than dynamic responses to disturbances. This study proposes a dynamic resilience analysis framework that tracks urban road system performance under progressive flood intensities using three core indicators: road service availability (infrastructure condition), road network accessibility (user impact), and recovery speed (managerial effectiveness). Applied to Xiamen, a coastal city in China, the framework simulates four flood inundation scenarios (0.335, 1, 3, and 9 m) to monitor system-flood interactions and identify critical thresholds. Results reveal that structural damage does not necessarily imply functional disruption, and high road density provides service redundancy, maintaining user accessibility even when some roads are flooded. The analysis identifies a current resilience threshold at 1 m inundation, which can be elevated through infrastructure upgrades. These findings demonstrate that dynamic assessment complements static approaches by revealing critical flood thresholds and vulnerable zones to enable targeted interventions—from emergency response prioritization to long-term adaptation planning. The proposed framework offers a transferable methodology for coastal cities to diagnose their own resilience thresholds and guide evidence-based investments, with minimal data requirements making it applicable in data-scarce contexts.</p>","PeriodicalId":49294,"journal":{"name":"Journal of Flood Risk Management","volume":"19 2","pages":""},"PeriodicalIF":3.7,"publicationDate":"2026-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jfr3.70218","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148325005","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":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":49294,"journal":{"name":"Journal of Flood Risk Management","volume":"19 2","pages":""},"PeriodicalIF":3.0,"publicationDate":"2026-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148095166","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessing the Dynamic Resilience of Urban Road System: A Case Study of Xiamen City, China","authors":"Hongjie Huang,&nbsp;Shenghui Cui,&nbsp;Lihong Wang,&nbsp;Yin Zhang,&nbsp;Yunfeng Huang","doi":"10.1111/jfr3.70218","DOIUrl":"https://doi.org/10.1111/jfr3.70218","url":null,"abstract":"<p>Urban road system resilience is critical for managing extreme flood events, yet existing assessments predominantly focus on static indicators that capture inherent system capacity rather than dynamic responses to disturbances. This study proposes a dynamic resilience analysis framework that tracks urban road system performance under progressive flood intensities using three core indicators: road service availability (infrastructure condition), road network accessibility (user impact), and recovery speed (managerial effectiveness). Applied to Xiamen, a coastal city in China, the framework simulates four flood inundation scenarios (0.335, 1, 3, and 9 m) to monitor system-flood interactions and identify critical thresholds. Results reveal that structural damage does not necessarily imply functional disruption, and high road density provides service redundancy, maintaining user accessibility even when some roads are flooded. The analysis identifies a current resilience threshold at 1 m inundation, which can be elevated through infrastructure upgrades. These findings demonstrate that dynamic assessment complements static approaches by revealing critical flood thresholds and vulnerable zones to enable targeted interventions—from emergency response prioritization to long-term adaptation planning. The proposed framework offers a transferable methodology for coastal cities to diagnose their own resilience thresholds and guide evidence-based investments, with minimal data requirements making it applicable in data-scarce contexts.</p>","PeriodicalId":49294,"journal":{"name":"Journal of Flood Risk Management","volume":"19 2","pages":""},"PeriodicalIF":3.7,"publicationDate":"2026-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jfr3.70218","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148324342","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":"Regional Flood Emergency Capacity Assessment Based on a Multidimensional Framework","authors":"Xuezhi Tan,&nbsp;Yi Wu,&nbsp;Xiangjiao Li,&nbsp;Xudong Li,&nbsp;Lixiang Song,&nbsp;Fang Yang","doi":"10.1111/jfr3.70216","DOIUrl":"https://doi.org/10.1111/jfr3.70216","url":null,"abstract":"<p>Knowing the status of emergency capacity for disaster risk reduction helps the government and stakeholders to minimize vulnerabilities and disaster risk. However, there is no widely applied methodology for emergency capacity assessment. This study develops a multidimensional framework integrating vulnerability, susceptibility, and adaptability assessments to evaluate regional flood emergency capacity. The information quantity method, the Maxent model, and the entropy-weighted TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) are used to assess the regional vulnerability, susceptibility, and adaptability of disaster emergency capacity, respectively. These capacity features are then integrated into the overall disaster capacity using the analytic hierarchy process (AHP)-entropy method. The exemplary application in Zengcheng District (ZCD), China shows the effectiveness of the proposed method. The identified vulnerability hotspots of flood over ZCD are located in Xintang and southern Yongning, driven by their high road density, GDP per capita, residential disposable income, and high population density. Susceptibility modeling revealed land use, Vegetation Index, and elevation as the dominant drivers, with Xintang exhibiting the highest risk. Adaptability assessments highlighted superior resilience in Paitan, Zhongxin, and Shitan, driven by enhanced disaster-preparedness investments. Integrated analysis prioritized emergency resource storage capacity, drainage capacity, and emergency rescue capacity as critical determinants of flood response capacity. Lower emergency capacity is concentrated in Zhongxin, Xiaolou, Zhenguo, and Zhucun. This paper constructs a multidimensional assessment framework covering the entire chain of pre-disaster prevention, in-disaster response, and post-disaster recovery, to systematically evaluate a region's comprehensive emergency capacity, providing potentially feasible insights for urban areas vulnerable to flood disasters.</p>","PeriodicalId":49294,"journal":{"name":"Journal of Flood Risk Management","volume":"19 2","pages":""},"PeriodicalIF":3.7,"publicationDate":"2026-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jfr3.70216","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148325004","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":"Regional Flood Emergency Capacity Assessment Based on a Multidimensional Framework","authors":"Xuezhi Tan,&nbsp;Yi Wu,&nbsp;Xiangjiao Li,&nbsp;Xudong Li,&nbsp;Lixiang Song,&nbsp;Fang Yang","doi":"10.1111/jfr3.70216","DOIUrl":"https://doi.org/10.1111/jfr3.70216","url":null,"abstract":"<p>Knowing the status of emergency capacity for disaster risk reduction helps the government and stakeholders to minimize vulnerabilities and disaster risk. However, there is no widely applied methodology for emergency capacity assessment. This study develops a multidimensional framework integrating vulnerability, susceptibility, and adaptability assessments to evaluate regional flood emergency capacity. The information quantity method, the Maxent model, and the entropy-weighted TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) are used to assess the regional vulnerability, susceptibility, and adaptability of disaster emergency capacity, respectively. These capacity features are then integrated into the overall disaster capacity using the analytic hierarchy process (AHP)-entropy method. The exemplary application in Zengcheng District (ZCD), China shows the effectiveness of the proposed method. The identified vulnerability hotspots of flood over ZCD are located in Xintang and southern Yongning, driven by their high road density, GDP per capita, residential disposable income, and high population density. Susceptibility modeling revealed land use, Vegetation Index, and elevation as the dominant drivers, with Xintang exhibiting the highest risk. Adaptability assessments highlighted superior resilience in Paitan, Zhongxin, and Shitan, driven by enhanced disaster-preparedness investments. Integrated analysis prioritized emergency resource storage capacity, drainage capacity, and emergency rescue capacity as critical determinants of flood response capacity. Lower emergency capacity is concentrated in Zhongxin, Xiaolou, Zhenguo, and Zhucun. This paper constructs a multidimensional assessment framework covering the entire chain of pre-disaster prevention, in-disaster response, and post-disaster recovery, to systematically evaluate a region's comprehensive emergency capacity, providing potentially feasible insights for urban areas vulnerable to flood disasters.</p>","PeriodicalId":49294,"journal":{"name":"Journal of Flood Risk Management","volume":"19 2","pages":""},"PeriodicalIF":3.7,"publicationDate":"2026-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jfr3.70216","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148324343","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":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":49294,"journal":{"name":"Journal of Flood Risk Management","volume":"19 2","pages":""},"PeriodicalIF":3.0,"publicationDate":"2026-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148121594","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimizing LID Practices in the Genoa Urban Drainage System Based on the Community's Call for Action Through Participatory Mapping","authors":"Enrico Creaco,&nbsp;Ilaria Gnecco,&nbsp;Carlo Giudicianni,&nbsp;Stefano Boilini,&nbsp;Shaahin Nazarpour Tameh,&nbsp;Anna Palla","doi":"10.1111/jfr3.70170","DOIUrl":"https://doi.org/10.1111/jfr3.70170","url":null,"abstract":"<p>This paper presents a novel methodology for optimizing installation of low impact development practices (LIDs) in an urban hydrological catchment. This methodology helps stakeholders in deciding on what kind and area of LID must be installed in each sub-catchment to attenuate pluvial flooding as a result of intense rain events. The main novelty consists of the community's engagement in the optimization process, by means of an additional objective function to consider the community's appreciation for the choice of LIDs. The methodology is applied to a real case study, i.e., a part of the urban drainage system (UDS) of Genoa, which is frequently plagued by pluvial flooding events that annoy the community. Following a survey of community preferences, the results of which were collected by means of participatory mapping, the methodology yields a Pareto front of trade-off solutions between installation costs, pluvial flooding volumes, and community satisfaction. From the front, stakeholders can select the ultimate solution based on budget constraints and/or on expected joint performance in terms of flood attenuation and community satisfaction.</p>","PeriodicalId":49294,"journal":{"name":"Journal of Flood Risk Management","volume":"19 2","pages":""},"PeriodicalIF":3.7,"publicationDate":"2026-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jfr3.70170","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148324181","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":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":49294,"journal":{"name":"Journal of Flood Risk Management","volume":"19 2","pages":""},"PeriodicalIF":3.0,"publicationDate":"2026-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148110170","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimizing LID Practices in the Genoa Urban Drainage System Based on the Community's Call for Action Through Participatory Mapping","authors":"Enrico Creaco,&nbsp;Ilaria Gnecco,&nbsp;Carlo Giudicianni,&nbsp;Stefano Boilini,&nbsp;Shaahin Nazarpour Tameh,&nbsp;Anna Palla","doi":"10.1111/jfr3.70170","DOIUrl":"https://doi.org/10.1111/jfr3.70170","url":null,"abstract":"<p>This paper presents a novel methodology for optimizing installation of low impact development practices (LIDs) in an urban hydrological catchment. This methodology helps stakeholders in deciding on what kind and area of LID must be installed in each sub-catchment to attenuate pluvial flooding as a result of intense rain events. The main novelty consists of the community's engagement in the optimization process, by means of an additional objective function to consider the community's appreciation for the choice of LIDs. The methodology is applied to a real case study, i.e., a part of the urban drainage system (UDS) of Genoa, which is frequently plagued by pluvial flooding events that annoy the community. Following a survey of community preferences, the results of which were collected by means of participatory mapping, the methodology yields a Pareto front of trade-off solutions between installation costs, pluvial flooding volumes, and community satisfaction. From the front, stakeholders can select the ultimate solution based on budget constraints and/or on expected joint performance in terms of flood attenuation and community satisfaction.</p>","PeriodicalId":49294,"journal":{"name":"Journal of Flood Risk Management","volume":"19 2","pages":""},"PeriodicalIF":3.7,"publicationDate":"2026-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jfr3.70170","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148324179","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}