Journal of Flood Risk Management最新文献_第3页

Flood Inundation Mapping of a River Stretch Using Machine Learning Algorithms in the Google Earth Engine Environment 在b谷歌地球引擎环境下使用机器学习算法绘制河段洪水淹没图

IF 3 3区环境科学与生态学

Journal of Flood Risk Management Pub Date : 2025-05-13 DOI: 10.1111/jfr3.70062

Maaz Ashhar, Venkata Reddy Keesara, Venkataramana Sridhar

{"title":"Flood Inundation Mapping of a River Stretch Using Machine Learning Algorithms in the Google Earth Engine Environment","authors":"Maaz Ashhar, Venkata Reddy Keesara, Venkataramana Sridhar","doi":"10.1111/jfr3.70062","DOIUrl":"https://doi.org/10.1111/jfr3.70062","url":null,"abstract":"Floods are among the most common natural disasters in India, causing significant socio-economic and environmental impacts. This study focuses on a frequently flooded stretch of the Godavari River in Telangana, India, to analyze the flood event that occurred between 14th July 2022 and 20th July 2022. Sentinel-1 SAR data from 6th July 2022 to 20th July 2022 were used to perform flood inundation mapping. Various machine learning algorithms, including Support Vector Machine (SVM), Random Forest (RF), Gradient Boosting Tree (GBT), and Classification and Regression Tree (CART), were employed. The analysis revealed that out of the total study area of 1,556,544 ha, SVM classified 59,823 ha, RF classified 60,088 ha, GBT classified 57,497 ha, and CART classified 58,374 ha as flooded areas. In contrast, Otsu's Thresholding technique identified a significantly larger flooded area of 359,253 ha. For validation, 70 flooded and 30 non-flooded points were randomly selected from the flood map provided by the National Remote Sensing Center (NRSC). The RF algorithm achieved the best performance, correctly classifying 58 flooded points and 26 non-flooded points, resulting in an overall accuracy of 84%. The findings highlight the effectiveness of machine learning algorithms, particularly Random Forest, in flood inundation mapping.","PeriodicalId":49294,"journal":{"name":"Journal of Flood Risk Management","volume":"18 2","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jfr3.70062","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143939302","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}

引用次数: 0

Flood Risk Mitigation by Spatial Planning—Lessons Learned From Municipal Consultation 通过空间规划减轻洪水风险——来自市政咨询的经验教训

IF 3 3区环境科学与生态学

Journal of Flood Risk Management Pub Date : 2025-05-13 DOI: 10.1111/jfr3.70066

Stefan Greiving, Stefanie Wolff, Daniela Michalski, Mark Fleischhauer

{"title":"Flood Risk Mitigation by Spatial Planning—Lessons Learned From Municipal Consultation","authors":"Stefan Greiving, Stefanie Wolff, Daniela Michalski, Mark Fleischhauer","doi":"10.1111/jfr3.70066","DOIUrl":"https://doi.org/10.1111/jfr3.70066","url":null,"abstract":"The paper investigates which information on flood risk is needed for local land-use planning and how a risk-based planning approach can be implemented. The article is based on the results of a municipal consultation meeting at which German municipalities presented their planning cases in flood-prone areas. These cases included the conversion of existing settlements and buildings and new developments on previously undeveloped land. The team of researchers conducted pluvial and fluvial flood risk assessments based on water depth and flow velocities and analyzed the planning documents. On this basis, we advised the municipalities regarding risk-based planning. The flood event that hit the German states of Rhineland-Palatinate and North Rhine-Westphalia in mid-July 2021 increased municipal awareness for flood-sensitive planning. The consultation has confirmed that the biggest challenge is managing flood risk in existing built-up areas. The extreme event changed the flood statistics and thus the assessment basis, but municipalities seek legal certainty for decision-making. Currently, the lack of a clear planning basis creates uncertainty but also poses opportunities for change. In this context, we recommend, with reference to good examples from other European countries, an orientation towards the precautionary principle and the consideration of extreme flood scenarios.","PeriodicalId":49294,"journal":{"name":"Journal of Flood Risk Management","volume":"18 2","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jfr3.70066","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143939307","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}

引用次数: 0

A Subgrid Modelling Approach to Nature-Based Solutions (NbS): Enhancing Flood Risk Management in Riseley, UK 基于自然的解决方案（NbS）的子网格建模方法：在英国Riseley加强洪水风险管理

IF 3 3区环境科学与生态学

Journal of Flood Risk Management Pub Date : 2025-05-13 DOI: 10.1111/jfr3.70067

Amrie Singh, Harry Mansfield, Maria Pregnolato, Nigel Wright

{"title":"A Subgrid Modelling Approach to Nature-Based Solutions (NbS): Enhancing Flood Risk Management in Riseley, UK","authors":"Amrie Singh, Harry Mansfield, Maria Pregnolato, Nigel Wright","doi":"10.1111/jfr3.70067","DOIUrl":"https://doi.org/10.1111/jfr3.70067","url":null,"abstract":"Subgrid sampling (SGS) has been increasingly integrated into hydraulic modelling to refine terrain representation without excessively increasing computational demands. This study investigates the effects of SGS and nature-based solutions (NbS), focusing on flow velocities, storage volumes and mass balance stability. Using a rain-on-grid TUFLOW model, we simulate a 1-in-30-year flood event across different NbS interventions, including leaky dams, floodplain planting and bunds with floodable depressions. Results demonstrate that higher SGS frequencies of 11 significantly enhance terrain resolution, improving the representation of flow paths and floodplain activation. However, a lower SGS frequency of three introduces notable numerical artefacts, leading to persistent negative cumulative volume errors and misrepresenting water retention within the system. NbS interventions generally minimise peak flow rates, with bunds and depressions (Option 3) proving the most effective, achieving a storage volume increase of up to 162.83% compared to the baseline scenario. Mass balance assessments show that models without SGS overestimate flood storage, potentially misguiding NbS implementation and compliance with flood storage regulations such as the UK Reservoirs Act (1975).","PeriodicalId":49294,"journal":{"name":"Journal of Flood Risk Management","volume":"18 2","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jfr3.70067","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143939303","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}

引用次数: 0

Field Testing of a Smart Geomat Based on Fiber Optic Sensors and Sensor Fusion for Levee Monitoring 基于光纤传感器和传感器融合的智能地理信息系统用于堤防监测的现场测试

IF 3 3区环境科学与生态学

Journal of Flood Risk Management Pub Date : 2025-05-13 DOI: 10.1111/jfr3.70070

Manuel Bertulessi, Francesca Ceccato, Francesco Ioli, Federico Barbieri, Livio Pinto, Paolo Simonini, Giovanni Menduni

{"title":"Field Testing of a Smart Geomat Based on Fiber Optic Sensors and Sensor Fusion for Levee Monitoring","authors":"Manuel Bertulessi, Francesca Ceccato, Francesco Ioli, Federico Barbieri, Livio Pinto, Paolo Simonini, Giovanni Menduni","doi":"10.1111/jfr3.70070","DOIUrl":"https://doi.org/10.1111/jfr3.70070","url":null,"abstract":"Real-time monitoring of the functionality of river embankments, especially during flood events, is an increasingly important topic in the new scenario outlined by climate change. To address this issue, the concept of the “smart levee” has recently emerged, based on the fusion of information from different types of sensors to obtain, remotely and in real time, an improved knowledge of its structural health status. The work here presented applies this concept by proposing an innovative monitoring solution consisting of an anti-erosion reinforced geomat equipped with Fiber Optic Sensors. This “smart revetment” aims to detect any surface displacement induced by failure mechanisms such as erosion and piping phenomena, as well as any physical change in soil properties (e.g., temperature and water content). These measurements, once integrated with other environmental variables, can then be associated with the variability of the most common environmental and operational factors, such as the rise in river levels during high flow events, or used to detect anomalies in the original geometry of the embankment surface. Four prototypes of this smart revetment were installed on a real levee by the city of Modena (Italy) in March 2023. The results obtained after 1 year of operation provided positive feedback on the smart revetment concept, which proved to be an innovative technological tool to improve flood resilience, both by increasing the efficiency of maintenance planning and by supporting civil protection surveillance during flood events.","PeriodicalId":49294,"journal":{"name":"Journal of Flood Risk Management","volume":"18 2","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jfr3.70070","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143939306","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}

引用次数: 0

Evaluating the Impacts of Riparian Plants on Flood Hazard Within Vegetated Rivers 河岸植物对植被河流洪涝灾害影响的评价

IF 3 3区环境科学与生态学

Journal of Flood Risk Management Pub Date : 2025-05-13 DOI: 10.1111/jfr3.70063

Matteo Rillo Migliorini Giovannini, Giuseppe Francesco Cesare Lama, Lorenzo Scopetani, Simona Francalanci, Andrea Signorile, Rossana Saracino, Federico Preti

{"title":"Evaluating the Impacts of Riparian Plants on Flood Hazard Within Vegetated Rivers","authors":"Matteo Rillo Migliorini Giovannini, Giuseppe Francesco Cesare Lama, Lorenzo Scopetani, Simona Francalanci, Andrea Signorile, Rossana Saracino, Federico Preti","doi":"10.1111/jfr3.70063","DOIUrl":"https://doi.org/10.1111/jfr3.70063","url":null,"abstract":"In the last few years, vegetated rivers have been managed with the main purpose of achieving water drainage and improving conveyance through vegetation removal. However, this leads to peak discharge augmentation and wave travel time reduction. This study assesses vegetation shredding and selective cut impacts on flood risk management. Flow resistance was obtained considering vegetation morphology and hydrodynamic measurements performed during two field campaigns conducted just before the destructive cut and in the growing season after 4 years. Järvelä model was adopted by modeling shrubby vegetation Leaf Area Index (LAI), while Nepf model was selected for herbaceous vegetation, based on flexible plants reconfiguration, strongly dependent on vegetation species and type. Finally, Baptist et al. model was employed for woody rigid plants, modeled as a random or staggered array of rigid cylinders. Results of one-dimensional unsteady hydraulic numerical simulations show higher water levels 4 years after the severe cut, while selective thinning reduces them. This methodology allows the quantification of flood propagation and peak flow delay: wave celerity decreases up to 21% and up to 34% (for undisturbed vegetation and clear cut scenarios, respectively) because of vegetation re-growth, causing a flood delay from 20 to 30 min at the downstream cross-section.","PeriodicalId":49294,"journal":{"name":"Journal of Flood Risk Management","volume":"18 2","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jfr3.70063","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143939304","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}

引用次数: 0

Operational Reliability of Emergency Measures, a Case Study for the BresDefender 应急措施的运行可靠性——以BresDefender为例的研究

IF 3 3区环境科学与生态学

Journal of Flood Risk Management Pub Date : 2025-05-08 DOI: 10.1111/jfr3.70044

D. Janssen, S. N. Jonkman, A. J. M. Schmets, B. Hofland, E. Dado

{"title":"Operational Reliability of Emergency Measures, a Case Study for the BresDefender","authors":"D. Janssen, S. N. Jonkman, A. J. M. Schmets, B. Hofland, E. Dado","doi":"10.1111/jfr3.70044","DOIUrl":"https://doi.org/10.1111/jfr3.70044","url":null,"abstract":"During extreme high-water events in river systems, the load on a levee section may exceed its resistance, initiating the breaching process which eventually leads to levee failure. The success of an emergency measure to intervene in the initial phases of levee failure is mainly dependent on its timely application. Quick action is required to prepare and deploy an emergency measure before damages to the levee section have become irreparable. In this study, we investigate the key parameters for successful application of an emergency measure, focusing on the BresDefender case study. The BresDefender is a floating pontoon used by the Dutch military, which is intended to avoid or postpone levee failure. A model has been developed taking the operational steps in the implementation of the emergency measure during a high water and the (uncertainty) in the duration of these processes into account. The model is used to quantify the probability of successful operation to prevent levee failure due to overflow or slope instability. The probability of successful application of the BresDefender has been simulated for river flood situations in the Netherlands. For the river Rhine, where the examined cases were prone to slope instabilities, the probability of arriving in time was found to be 70%. But for the Meuse case, where the examined cases were prone to overflow, the probability of arriving in time was found to be only 0%. The critical steps in the process after the occurrence of damage to the levee are damage detection, the decision to repair the damage, the transport of the emergency measure, and the placement of the measure. By incorporating emergency measures in emergency preparedness procedures, the time required for the critical steps will be decreased and the probability of successful application of the emergency measure, i.e., its contribution to flood risk reduction, will be enhanced.","PeriodicalId":49294,"journal":{"name":"Journal of Flood Risk Management","volume":"18 2","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jfr3.70044","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143919752","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}

引用次数: 0

Urban Flood Susceptibility Mapping for Toronto, Canada, Using Supervised Regression and Machine Learning Models 基于监督回归和机器学习模型的加拿大多伦多城市洪水易感性地图

IF 3 3区环境科学与生态学

Journal of Flood Risk Management Pub Date : 2025-05-08 DOI: 10.1111/jfr3.70051

Baljeet Kaur, Andrew Binns, Edward McBean, Dan Sandink, Karen Castro, Bahram Gharabaghi

{"title":"Urban Flood Susceptibility Mapping for Toronto, Canada, Using Supervised Regression and Machine Learning Models","authors":"Baljeet Kaur, Andrew Binns, Edward McBean, Dan Sandink, Karen Castro, Bahram Gharabaghi","doi":"10.1111/jfr3.70051","DOIUrl":"https://doi.org/10.1111/jfr3.70051","url":null,"abstract":"Floods are one of the most devastating natural hazards, causing adverse effects on human life, well-being, property, and the environment. The application of five machine-learning techniques in pluvial flood susceptibility mapping was investigated using the case study of two severe storms (2005 and 2013) in Toronto, Canada. Sixteen flood conditioning factors, including elevation, slope, topographic wetness index, stream power index, amount of permeable and impermeable surfaces, and more, were used to evaluate their importance in terms of flooding impacts for the 2005 and 2013 severe storms. Extreme gradient boosting (XGBoost) and an ensemble method are identified as the best models for the tracks of severe storms in 2005 and 2013. The AUROC (Area under the Receiver's Operating Characteristic Curve) analysis shows that precipitation was the most critical variable, followed by groundwater level and distance from sewers, during the two major storm events investigated. However, the flood susceptibility maps are specific and depend on the storm track and intensity-duration characteristics for each significant storm event. Depending on the seasonal groundwater levels and the storm sewer drainage capacity of an area, the system may be overwhelmed, and houses may be flooded if the rainfall intensity and duration exceeds the urban stormwater drainage system capacity. This research provides a foundational understanding of the factors influencing urban flood risk and the statistical models that result from pluvial rainfall events. However, there is a need for more research on rainfall events with different tracks, intensities, and durations to provide reliable ensemble flood susceptibility mapping that could be used to calculate the flood risk for a given area.","PeriodicalId":49294,"journal":{"name":"Journal of Flood Risk Management","volume":"18 2","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jfr3.70051","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143925979","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}

引用次数: 0

Integrated Modeling Driven Evaluation of Opportunities for Climate-Resilient Perennial Biomass Crop Plantings in Flood-Prone Agricultural Landscapes 洪水易发农业景观中气候适应型多年生生物质作物种植机会的综合模型驱动评估

IF 3 3区环境科学与生态学

Journal of Flood Risk Management Pub Date : 2025-05-06 DOI: 10.1111/jfr3.70056

Ganesh R. Ghimire, Yan Liu, Esther Parish, Sudershan Gangrade, Shih-Chieh Kao, Christopher DeRolph, Karen Maguire, Henriette Jager

{"title":"Integrated Modeling Driven Evaluation of Opportunities for Climate-Resilient Perennial Biomass Crop Plantings in Flood-Prone Agricultural Landscapes","authors":"Ganesh R. Ghimire, Yan Liu, Esther Parish, Sudershan Gangrade, Shih-Chieh Kao, Christopher DeRolph, Karen Maguire, Henriette Jager","doi":"10.1111/jfr3.70056","DOIUrl":"https://doi.org/10.1111/jfr3.70056","url":null,"abstract":"Adapting to future climate change in flood-prone landscapes will require climate-resilient agricultural systems. Planting perennial crops, like switchgrass and willow, along river corridors can mitigate future flooding while supporting bioenergy markets. We developed an integrated assessment linking climate, hydrologic, and inundation model results to assess future flood risk to river-adjacent agricultural lands in the Mid-Atlantic Region (MAR) and explore this opportunity. We produced ensemble streamflow projections for every MAR stream using a hydrologic model driven by a suite of downscaled and bias-corrected Coupled Model Intercomparison Project Phase 6 climate projections. We then conducted high-resolution inundation mapping based on projected flood frequencies for baseline and future periods. Results show that in the near-term future, at least two-thirds of the streams will experience 100-year floods more severe than the baseline 200-year floods. Riparian zones are projected to face a median rise of inundation by 9.5%–24.1%. Results show that there is an opportunity to mitigate flooding in over half of MAR's counties with the quantities of switchgrass and willow plantings anticipated for mature bioenergy markets, even under the most extreme (200-year) flood events. Our integrated modeling framework can guide similar regions to evaluate opportunities for flood-resilient agricultural systems under climate change.","PeriodicalId":49294,"journal":{"name":"Journal of Flood Risk Management","volume":"18 2","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jfr3.70056","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143914522","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}

引用次数: 0

Realizing Recognition Justice in Flood Risk Management Policy: A Case Study on Implementation Gaps and Legitimacy Gaps in Austria 在洪水风险管理政策中实现承认正义：以奥地利的执行差距和合法性差距为例

IF 3 3区环境科学与生态学

Journal of Flood Risk Management Pub Date : 2025-05-05 DOI: 10.1111/jfr3.70052

Thomas Thaler, Sebastian Seebauer

{"title":"Realizing Recognition Justice in Flood Risk Management Policy: A Case Study on Implementation Gaps and Legitimacy Gaps in Austria","authors":"Thomas Thaler, Sebastian Seebauer","doi":"10.1111/jfr3.70052","DOIUrl":"https://doi.org/10.1111/jfr3.70052","url":null,"abstract":"Flood risk is often unequally distributed. These inequalities highly depend on socio-political decisions. The recognition of the needs of individuals within a floodplain needs to be considered as a precondition for reaching justice in flood risk management, especially as people differ in their vulnerabilities and capacities to deal with floods. This paper addresses the question of how vulnerable population groups are recognized in flood risk management used in the federal state of Upper Austria. We use a qualitative research method, which is based on policy, legal documents and strategies and on 32 semi-structured interviews conducted at different levels. Even though clearly stating the overall policy goal of reducing social vulnerability and inequality, most risk reduction strategies neglect these aspects, which creates an implementation gap regarding recognition justice. Strict adherence to the principle of equality leads to, among others, uniform design levels and cost contributions that undermine the notion of differentiated vulnerability. By contrast, disaster aid payments do use eligibility criteria that recognize social inequalities. However, even if justice principles are implemented, they lack transparency and accountability, which creates a legitimacy gap. Restricting the role of civil servants in the public administration through hybrid governance may narrow implementation and legitimacy gaps.","PeriodicalId":49294,"journal":{"name":"Journal of Flood Risk Management","volume":"18 2","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jfr3.70052","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143908929","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}

引用次数: 0

Evaluating the French Flash Flood Warning System Using Hydrological and Impact Data in Southeastern France 利用法国东南部的水文和影响数据评估法国山洪预警系统

IF 3 3区环境科学与生态学

Journal of Flood Risk Management Pub Date : 2025-05-02 DOI: 10.1111/jfr3.70053

Juliette Godet, Olivier Payrastre, Qifan Ding, Julie Demargne, Eric Gaume, Pierre Nicolle, Anne Belleudy, Pierre Javelle

{"title":"Evaluating the French Flash Flood Warning System Using Hydrological and Impact Data in Southeastern France","authors":"Juliette Godet, Olivier Payrastre, Qifan Ding, Julie Demargne, Eric Gaume, Pierre Nicolle, Anne Belleudy, Pierre Javelle","doi":"10.1111/jfr3.70053","DOIUrl":"https://doi.org/10.1111/jfr3.70053","url":null,"abstract":"Due to climate change and rapid urbanisation, flash floods are becoming increasingly threatening, making real-time flash flood monitoring and early warning systems a crucial adaptation measure. In France, the Vigicrues Flash system, operational since 2017, uses a simplified rainfall-runoff model to issue short-range flood warnings for small-to-medium ungauged basins, covering about 10,000 municipalities. Seven years on, we assess its performance on a large spatio-temporal scale, using a multi-indicator approach. First, hydrological validation is conducted using discharge data from gauging stations and post-event campaigns, applying a contingency-based approach with flood thresholds from 2- to 1000-year return periods. Results show promising flood detection rates (mean CSI: 40%–70%) and indicate that expanding the system's coverage is feasible without reducing performance. Next, we evaluate its capacity to detect damaging events using the French CatNat database of natural disaster decrees. Finally, we document a survey of system users to capture their perception of its effectiveness and operational value. However, the high number of false alarms in the impact-based assessment highlights the urgent need for impact-oriented forecasts and warnings.","PeriodicalId":49294,"journal":{"name":"Journal of Flood Risk Management","volume":"18 2","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jfr3.70053","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143896915","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}

引用次数: 0