洛伊拉河(西班牙加利西亚)洪水研究:土地管理中预先评估的重要性

IF 5.3 Q2 ENGINEERING, ENVIRONMENTAL
David Solla , Carolina Acuña-Alonso , Carlos Peco-Costas , Xana Álvarez
{"title":"洛伊拉河(西班牙加利西亚)洪水研究:土地管理中预先评估的重要性","authors":"David Solla ,&nbsp;Carolina Acuña-Alonso ,&nbsp;Carlos Peco-Costas ,&nbsp;Xana Álvarez","doi":"10.1016/j.clet.2024.100769","DOIUrl":null,"url":null,"abstract":"<div><p>Floods pose recurrent threats to numerous countries, carrying substantial social, economic and at times, catastrophic implications, especially in extreme scenarios. In addition, coastal areas are strongly threatened by extreme weather events and climate change impacts. Given these pressing challenges, it becomes imperative to conduct thorough assessments of future flood impacts, particularly in areas of significant environmental and socio-economic importance. This study addresses this need by focusing on the potential consequences of flooding in the Loira River, situated in the municipality of Marín, Pontevedra, Northwestern Spain. For this purpose, the free software IBER has been used, these is a free software that solves the 2D depth-averaged shallow water equations (SWEs) by using a finite volume scheme, with the domain being discretized with both structured and unstructured triangular or quadrilateral elements. The hydrological model has been established from the maximum flow for different return periods (T10, T100 and T500). Field observations, including channel widths, bridge configurations, and various parameters, further inform our analysis. Our findings reveal critical insights, including a maximum height differential of 0.48 m, particularly significant at the upstream bridge, exacerbating flooding risks in adjacent plains. Moreover, velocities along riverbanks reach hazardous levels, notably during the 500-year return period, necessitating urgent protective measures for local residents. The hydrological model also indicates that small-scale forestation has no significant effect on flood prevention. This research underscores the utility of advanced hydrological modelling in informing risk management strategies and underscores the necessity of pre-emptive hydrological analyses to mitigate future flood risks effectively.</p></div>","PeriodicalId":34618,"journal":{"name":"Cleaner Engineering and Technology","volume":"21 ","pages":"Article 100769"},"PeriodicalIF":5.3000,"publicationDate":"2024-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666790824000491/pdfft?md5=96588260dcd4b81e77d5be0d7e465197&pid=1-s2.0-S2666790824000491-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Flooding study of the Loira River (Galicia, Spain): Importance of pre-evaluation in land management\",\"authors\":\"David Solla ,&nbsp;Carolina Acuña-Alonso ,&nbsp;Carlos Peco-Costas ,&nbsp;Xana Álvarez\",\"doi\":\"10.1016/j.clet.2024.100769\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Floods pose recurrent threats to numerous countries, carrying substantial social, economic and at times, catastrophic implications, especially in extreme scenarios. In addition, coastal areas are strongly threatened by extreme weather events and climate change impacts. Given these pressing challenges, it becomes imperative to conduct thorough assessments of future flood impacts, particularly in areas of significant environmental and socio-economic importance. This study addresses this need by focusing on the potential consequences of flooding in the Loira River, situated in the municipality of Marín, Pontevedra, Northwestern Spain. For this purpose, the free software IBER has been used, these is a free software that solves the 2D depth-averaged shallow water equations (SWEs) by using a finite volume scheme, with the domain being discretized with both structured and unstructured triangular or quadrilateral elements. The hydrological model has been established from the maximum flow for different return periods (T10, T100 and T500). Field observations, including channel widths, bridge configurations, and various parameters, further inform our analysis. Our findings reveal critical insights, including a maximum height differential of 0.48 m, particularly significant at the upstream bridge, exacerbating flooding risks in adjacent plains. Moreover, velocities along riverbanks reach hazardous levels, notably during the 500-year return period, necessitating urgent protective measures for local residents. The hydrological model also indicates that small-scale forestation has no significant effect on flood prevention. This research underscores the utility of advanced hydrological modelling in informing risk management strategies and underscores the necessity of pre-emptive hydrological analyses to mitigate future flood risks effectively.</p></div>\",\"PeriodicalId\":34618,\"journal\":{\"name\":\"Cleaner Engineering and Technology\",\"volume\":\"21 \",\"pages\":\"Article 100769\"},\"PeriodicalIF\":5.3000,\"publicationDate\":\"2024-06-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2666790824000491/pdfft?md5=96588260dcd4b81e77d5be0d7e465197&pid=1-s2.0-S2666790824000491-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cleaner Engineering and Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2666790824000491\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, ENVIRONMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cleaner Engineering and Technology","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666790824000491","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ENVIRONMENTAL","Score":null,"Total":0}
引用次数: 0

摘要

洪水对许多国家构成经常性威胁,对社会、经济造成重大影响,有时甚至是灾难性影响,特别是在极端情况下。此外,沿海地区也受到极端天气事件和气候变化影响的严重威胁。鉴于这些紧迫的挑战,当务之急是对未来洪水的影响进行全面评估,尤其是在对环境和社会经济具有重要意义的地区。本研究针对这一需求,重点研究了位于西班牙西北部庞特韦德拉马林市的 Loira 河洪水可能造成的后果。IBER 是一款免费软件,可使用有限体积方案求解二维深度平均浅水方程 (SWE),并使用结构化和非结构化三角形或四边形元素对域进行离散处理。水文模型是根据不同重现期(T10、T100 和 T500)的最大流量建立的。实地观测(包括河道宽度、桥梁配置和各种参数)为我们的分析提供了进一步的信息。我们的研究结果揭示了一些重要的见解,其中包括最大高差为 0.48 米,在上游桥梁处尤为明显,从而加剧了邻近平原的洪水风险。此外,河岸的流速达到危险水平,尤其是在 500 年一遇的重现期,当地居民必须采取紧急保护措施。水文模型还表明,小规模植树造林对防洪没有显著效果。这项研究强调了先进的水文模型在为风险管理战略提供信息方面的实用性,并强调了先发制人的水文分析对于有效缓解未来洪水风险的必要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Flooding study of the Loira River (Galicia, Spain): Importance of pre-evaluation in land management

Flooding study of the Loira River (Galicia, Spain): Importance of pre-evaluation in land management

Floods pose recurrent threats to numerous countries, carrying substantial social, economic and at times, catastrophic implications, especially in extreme scenarios. In addition, coastal areas are strongly threatened by extreme weather events and climate change impacts. Given these pressing challenges, it becomes imperative to conduct thorough assessments of future flood impacts, particularly in areas of significant environmental and socio-economic importance. This study addresses this need by focusing on the potential consequences of flooding in the Loira River, situated in the municipality of Marín, Pontevedra, Northwestern Spain. For this purpose, the free software IBER has been used, these is a free software that solves the 2D depth-averaged shallow water equations (SWEs) by using a finite volume scheme, with the domain being discretized with both structured and unstructured triangular or quadrilateral elements. The hydrological model has been established from the maximum flow for different return periods (T10, T100 and T500). Field observations, including channel widths, bridge configurations, and various parameters, further inform our analysis. Our findings reveal critical insights, including a maximum height differential of 0.48 m, particularly significant at the upstream bridge, exacerbating flooding risks in adjacent plains. Moreover, velocities along riverbanks reach hazardous levels, notably during the 500-year return period, necessitating urgent protective measures for local residents. The hydrological model also indicates that small-scale forestation has no significant effect on flood prevention. This research underscores the utility of advanced hydrological modelling in informing risk management strategies and underscores the necessity of pre-emptive hydrological analyses to mitigate future flood risks effectively.

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
Cleaner Engineering and Technology
Cleaner Engineering and Technology Engineering-Engineering (miscellaneous)
CiteScore
9.80
自引率
0.00%
发文量
218
审稿时长
21 weeks
×
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