对巴西水坝分类过程的建议

Q4 Engineering
Sérgio Ricardo Toledo Salgado, Elsa Maria da Silva Carvalho
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引用次数: 0

摘要

巴西国家大坝安全政策(PNSB)于2010年颁布,仍有许多行动需要开展,特别是大坝的相关潜在危害(PHA)和风险类别(RC)分类。根据2020年大坝安全报告进行的分析表明,在国家大坝信息系统(SNISB)中登记的21953座大坝分布在巴西全境。14849座(67.64%)大坝未被划分为RC类,13475座(61.38%)大坝未被划分为PHA类。高PHA水坝3724座,其中水库容量小的水坝2407座,占64.64%。考虑到这一情况,对巴西、葡萄牙、国际大型委员会(ICOLD)和美国采用的大坝分类标准进行了文献研究。此外,对两项使用基于人工智能的工具预测PHA分类的研究进行了文献研究。因此,本研究建议未来的研究具有明确的分类标准和基于人工智能的应用,以预测巴西的PHA分类。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Recommendations for the process of classification of dams in Brazil
The Brazilian National Policy on Dam Safety (PNSB) was enacted in 2010 and there are still many actions to be carried out, especially the classification of dams as to associated hazard potential (PHA) and risk category (RC). The analysis conducted based on the Dam Safety Report 2020 informs that there are 21953 dams distributed throughout the Brazilian territory registered in National Dam Information System (SNISB). However, 14849 (67.64%) of the dams were not classified as RC and 13475 (61.38%) of the dams were not classified as PHA. There are 3724 dams classified as high PHA, 2407 (64.64%) of which are considered small in terms of reservoir capacity. Considering this scenario, bibliographic research was conducted on dam classification criteria used in Brazil, Portugal, International Commission on Large (ICOLD) and United States. In addition, bibliographic research was conducted on two studies that used artificial intelligence-based tools to forecast PHA classification. As a result, this study recommends future research with indicated classification criteria and with applications based on artificial intelligence to forecast PHA classification in Brazil.
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来源期刊
U.Porto Journal of Engineering
U.Porto Journal of Engineering Engineering-Engineering (all)
CiteScore
0.70
自引率
0.00%
发文量
58
审稿时长
20 weeks
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