A Python implementation for the simplified dam-break flood modeling

Pub Date : 2022-01-01 DOI:10.1590/2318-0331.272220220013
Roberto Mentzingen Rolo, Francisco Antonello Marodin, Giulia Pacheco Carrard, Luciano Brasileiro Cardone, Carlos José Sobrinho da Silveira
{"title":"A Python implementation for the simplified dam-break flood modeling","authors":"Roberto Mentzingen Rolo, Francisco Antonello Marodin, Giulia Pacheco Carrard, Luciano Brasileiro Cardone, Carlos José Sobrinho da Silveira","doi":"10.1590/2318-0331.272220220013","DOIUrl":null,"url":null,"abstract":"ABSTRACT Since 2010, the Brazilian government has required that dams that fall within the national dam policy must present a safety plan, which, among other topics, must address the definition of the hypotheses and possible disaster scenarios. To achieve it, the flood zone due to an eventual failure must be modeled for the Hazard Potential (Dano Potencial Associado – DPA) classification. The flood zone is the result of complex hydraulic phenomena that are difficult to characterize. Given the demand for DPA analysis and the data unavailability, the National Water Agency (Agência Nacional de Águas - ANA) proposed a simplified methodology for generating the flood zone., This paper proposes a Python implementation for this methodology with a user-friendly Graphical User Interface. Our implementation relies on free and open-source software. The results are similar to those produced by the original implementation and can be generated considerably in less time and with less user interaction.","PeriodicalId":0,"journal":{"name":"","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1590/2318-0331.272220220013","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

ABSTRACT Since 2010, the Brazilian government has required that dams that fall within the national dam policy must present a safety plan, which, among other topics, must address the definition of the hypotheses and possible disaster scenarios. To achieve it, the flood zone due to an eventual failure must be modeled for the Hazard Potential (Dano Potencial Associado – DPA) classification. The flood zone is the result of complex hydraulic phenomena that are difficult to characterize. Given the demand for DPA analysis and the data unavailability, the National Water Agency (Agência Nacional de Águas - ANA) proposed a simplified methodology for generating the flood zone., This paper proposes a Python implementation for this methodology with a user-friendly Graphical User Interface. Our implementation relies on free and open-source software. The results are similar to those produced by the original implementation and can be generated considerably in less time and with less user interaction.
分享
查看原文
用于简化溃坝洪水建模的Python实现
自2010年以来,巴西政府要求符合国家水坝政策的水坝必须提出安全计划,其中包括必须解决假设和可能的灾难情景的定义。为了实现这一目标,由于最终失败的洪水区必须为潜在危害(Dano Potential Associado - DPA)分类建模。洪泛区是复杂水力现象的结果,难以表征。考虑到对DPA分析的需求和数据的不可获得性,国家水务局(Agência Nacional de Águas - ANA)提出了一种简化的方法来生成洪水区。本文提出了该方法的Python实现,具有用户友好的图形用户界面。我们的实现依赖于免费和开源软件。结果与原始实现产生的结果相似,可以在更短的时间内生成,并且用户交互更少。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
×
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