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 Q2 ENVIRONMENTAL SCIENCES
Juliette Godet, Olivier Payrastre, Qifan Ding, Julie Demargne, Eric Gaume, Pierre Nicolle, Anne Belleudy, Pierre Javelle
{"title":"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","authors":"Juliette Godet,&nbsp;Olivier Payrastre,&nbsp;Qifan Ding,&nbsp;Julie Demargne,&nbsp;Eric Gaume,&nbsp;Pierre Nicolle,&nbsp;Anne Belleudy,&nbsp;Pierre Javelle","doi":"10.1111/jfr3.70053","DOIUrl":null,"url":null,"abstract":"<p>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.</p>","PeriodicalId":49294,"journal":{"name":"Journal of Flood Risk Management","volume":"18 2","pages":""},"PeriodicalIF":3.0000,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jfr3.70053","citationCount":"0","resultStr":"{\"title\":\"Evaluating the French Flash Flood Warning System Using Hydrological and Impact Data in Southeastern France\",\"authors\":\"Juliette Godet,&nbsp;Olivier Payrastre,&nbsp;Qifan Ding,&nbsp;Julie Demargne,&nbsp;Eric Gaume,&nbsp;Pierre Nicolle,&nbsp;Anne Belleudy,&nbsp;Pierre Javelle\",\"doi\":\"10.1111/jfr3.70053\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>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.</p>\",\"PeriodicalId\":49294,\"journal\":{\"name\":\"Journal of Flood Risk Management\",\"volume\":\"18 2\",\"pages\":\"\"},\"PeriodicalIF\":3.0000,\"publicationDate\":\"2025-05-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jfr3.70053\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Flood Risk Management\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/jfr3.70053\",\"RegionNum\":3,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Flood Risk Management","FirstCategoryId":"93","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/jfr3.70053","RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0

摘要

由于气候变化和快速城市化,山洪暴发的威胁越来越大,实时山洪监测和预警系统是一项至关重要的适应措施。在法国,Vigicrues Flash系统自2017年开始运行,使用简化的降雨径流模型,为覆盖约10,000个城市的中小型未计量流域发布短期洪水预警。七年来,我们使用多指标方法在大时空尺度上评估其表现。首先,利用来自测量站和事件后活动的流量数据进行水文验证,采用基于突发事件的方法,将洪水阈值从2年到1000年的回复期进行。结果表明,在不降低性能的情况下,扩大系统的覆盖范围是可行的,洪水探测率(平均CSI: 40%-70%)是有希望的。接下来,我们使用法国CatNat自然灾害法令数据库评估其检测破坏性事件的能力。最后,我们记录了系统用户的调查,以捕捉他们对其有效性和操作价值的看法。然而,在基于影响的评估中出现了大量的误报,这凸显了对面向影响的预测和预警的迫切需要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Evaluating the French Flash Flood Warning System Using Hydrological and Impact Data in Southeastern France

Evaluating the French Flash Flood Warning System Using Hydrological and Impact Data in Southeastern France

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.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Journal of Flood Risk Management
Journal of Flood Risk Management ENVIRONMENTAL SCIENCES-WATER RESOURCES
CiteScore
8.40
自引率
7.30%
发文量
93
审稿时长
12 months
期刊介绍: Journal of Flood Risk Management provides an international platform for knowledge sharing in all areas related to flood risk. Its explicit aim is to disseminate ideas across the range of disciplines where flood related research is carried out and it provides content ranging from leading edge academic papers to applied content with the practitioner in mind. Readers and authors come from a wide background and include hydrologists, meteorologists, geographers, geomorphologists, conservationists, civil engineers, social scientists, policy makers, insurers and practitioners. They share an interest in managing the complex interactions between the many skills and disciplines that underpin the management of flood risk across the world.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信