CONSIDERING ENGINEERING GEOLOGY INPUT FOR PROBABILISTIC FLOOD HAZARD ASSESSMENTS

J. Keaton
{"title":"CONSIDERING ENGINEERING GEOLOGY INPUT FOR PROBABILISTIC FLOOD HAZARD ASSESSMENTS","authors":"J. Keaton","doi":"10.1130/abs/2021am-368936","DOIUrl":null,"url":null,"abstract":"\n Probabilistic risk assessments were developed in the 1970s as consistent approaches to assessing public health protection by nuclear-facility safety measures. Risk-informed initiatives resulted in the characterization of processes that produce extreme events (hazards) independently from the detrimental effects of such events on people or environment from facility damage (risks), as well as quantifying uncertainties. For example, large dams are designed to perform without uncontrolled reservoir release under seismic motion with 1/10,000 annual frequency. Geologic inputs for seismic hazards include ground motion sources and site response. Probabilistic flood hazards analyses are emerging in response to uncertainty about the effects of climate change, aging flood control structures, and acceptance of probabilistic seismic hazard analyses. Geologic inputs for flood hazard have focused on paleoflood hydrology from slackwater deposits and boulder bars. Procedures are available for calculating probable maximum floods, produced from the most severe combination of meteorological and hydrologic conditions, but not for assessing annual frequencies of such events. Flood routing, the domain of hydrologists and hydraulic engineers, typically stipulates channel stability. What if channels erode during extreme floods, watershed slopes are susceptible to landslides, or landslides reduce channel cross sections? Hydrologists and hydraulic engineers evaluate flood flow and water elevation effects at facilities, whereas engineering geologists need to assess slope response and mobilization of debris under extreme precipitation. Keeping slope assessments consistent with probabilistic approaches is challenging. A real location provides a hypothetical example to illustrate selected aspects of the geological approach and to utilize the results of some available tools.","PeriodicalId":138906,"journal":{"name":"Environmental and Engineering Geoscience","volume":"417 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental and Engineering Geoscience","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1130/abs/2021am-368936","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

Probabilistic risk assessments were developed in the 1970s as consistent approaches to assessing public health protection by nuclear-facility safety measures. Risk-informed initiatives resulted in the characterization of processes that produce extreme events (hazards) independently from the detrimental effects of such events on people or environment from facility damage (risks), as well as quantifying uncertainties. For example, large dams are designed to perform without uncontrolled reservoir release under seismic motion with 1/10,000 annual frequency. Geologic inputs for seismic hazards include ground motion sources and site response. Probabilistic flood hazards analyses are emerging in response to uncertainty about the effects of climate change, aging flood control structures, and acceptance of probabilistic seismic hazard analyses. Geologic inputs for flood hazard have focused on paleoflood hydrology from slackwater deposits and boulder bars. Procedures are available for calculating probable maximum floods, produced from the most severe combination of meteorological and hydrologic conditions, but not for assessing annual frequencies of such events. Flood routing, the domain of hydrologists and hydraulic engineers, typically stipulates channel stability. What if channels erode during extreme floods, watershed slopes are susceptible to landslides, or landslides reduce channel cross sections? Hydrologists and hydraulic engineers evaluate flood flow and water elevation effects at facilities, whereas engineering geologists need to assess slope response and mobilization of debris under extreme precipitation. Keeping slope assessments consistent with probabilistic approaches is challenging. A real location provides a hypothetical example to illustrate selected aspects of the geological approach and to utilize the results of some available tools.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
考虑工程地质输入的概率洪水灾害评估
概率风险评估是在1970年代发展起来的,作为评估核设施安全措施对公众健康保护的一致方法。风险知情倡议导致了产生极端事件(危害)的过程的特征化,这些过程独立于这些事件对人员或环境的有害影响,以及设施损坏(风险),以及量化不确定性。例如,大型水坝被设计为在每年1/10,000次的地震运动下不进行无控制的水库释放。地震灾害的地质输入包括地震动源和场地反应。概率洪水灾害分析是为了应对气候变化影响的不确定性,老化的防洪结构,以及接受概率地震灾害分析。洪水灾害的地质输入主要集中在淡水沉积物和巨石坝的古洪水水文。现有的程序可用于计算由最严重的气象和水文条件组合产生的可能的最大洪水,但不能用于评估此类事件的年频率。洪水路线是水文学家和水利工程师的研究领域,它通常规定了河道的稳定性。如果河道在极端洪水期间被侵蚀,分水岭斜坡容易发生山体滑坡,或者山体滑坡减少了河道的横截面,该怎么办?水文学家和水利工程师评估设施的洪水流量和水位升高效应,而工程地质学家需要评估极端降水下的边坡响应和碎片动员。保持边坡评估与概率方法的一致性是具有挑战性的。一个真实的位置提供了一个假设的例子来说明地质方法的选定方面,并利用一些可用工具的结果。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Loess Is More: Field Investigation and Slope Stability Analysis of the Tanana 440 Landslide, Interior Alaska Treatment and Control of Urban Sewage with Excessive Heavy Metals for Ecological Environment Protection Site Selection for Municipal Solid Waste Landfill: Case Study of Artvin, Turkey Factors Affecting Shrinkage Crack Development in Clay Soils: An Experimental Study RAINFALL TRIGGERING OF POST-FIRE DEBRIS FLOWS OVER A 28-YEAR PERIOD NEAR EL PORTAL, CALIFORNIA, USA
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1