首页> 外文期刊>Hydrological Processes >Estimating flash flood discharge in an ungauged mountain catchment with 2D hydraulic models and dendrogeomorphic palaeostage indicators
【24h】

Estimating flash flood discharge in an ungauged mountain catchment with 2D hydraulic models and dendrogeomorphic palaeostage indicators

机译:利用2D水力模型和树状地貌古阶段指示符估算未开封山区流域的山洪排放量

获取原文
获取原文并翻译 | 示例
       

摘要

There is still wide uncertainty about past flash-flood processes in mountain regions owing to the lack of systematic databasesnon former events. This paper presents a methodology to reconstruct peak discharge of flash floods and illustrates a case innan ungauged catchment in the Spanish Central System. The use of dendrogeomorphic evidence (i.e. scars on trees) togethernwith the combined use of a two-dimensional (2D) numerical hydraulic model and a terrestrial laser scan (TLS) has allowednestimation of peak discharge of a recent flash flood. The size and height distribution of scars observed in the field havenbeen used to define three hypothetical scenarios (Smin or minimum scenario; Smed or medium scenario; and Smax or maximumnscenario), thus illustrating the uncertainty involved in peak-discharge estimation of flash floods in ungauged torrents.nAll scars analysed with dendrogeomorphic techniques stem from a large flash flood which took place on 17 December 1997.nOn the basis of the scenarios, peak discharge is estimated to 79 š 14 m3 su00011. The average deviation obtained between floodnstage and expected scar height was u00010D09 š 0D53 m. From the data, it becomes obvious that the geomorphic position of treesnis the main factor controlling deviation rate. In this sense, scars with minimum deviation were located on trees growing innexposed locations, especially on unruffled bedrock where the model predicts higher specific kinetic energy. The approach usednin this study demonstrates the potential of tree-ring analysis in palaeohydrology and for flood-risk assessment in catchmentsnwith vulnerable goods and infrastructure.
机译:由于缺乏以前事件的系统数据库,山区过去的洪水过程仍然存在很大的不确定性。本文提出了一种重建洪灾洪峰流量的方法,并说明了西班牙中央系统内一个未受污染的集水区。树状地貌证据(即树木上的疤痕)的使用,以及二维(2D)数值水力模型和地面激光扫描(TLS)的组合使用,可以确定最近一次山洪暴发的峰值排放量。野外观察到的疤痕的大小和高度分布尚未用于定义三个假设情景(Smin或最小情景; Smed或中等情景;以及Smax或最大情景),从而说明了在未覆盖的山洪泛洪流量估算中所涉及的不确定性所有用树状地貌技术分析的伤痕均源于1997年12月17日发生的一次大洪灾。根据这些情况,高峰流量估计为79š14 m3 su00011。水淹期与预期疤痕高度之间的平均偏差为u00010D09š0D53 m。从数据可以明显看出,树木的地貌位置是控制偏差率的主要因素。从这个意义上说,具有最小偏差的疤痕位于生长位置不适当的树木上,特别是在未皱纹的基岩上,该模型预测较高的比动能。这项研究中使用的方法证明了在古水文学中树木年轮分析的潜力以及对易受害商品和基础设施流域的洪灾风险评估的潜力。

著录项

  • 来源
    《Hydrological Processes》 |2011年第6期|p.970-979|共10页
  • 作者单位

    1 Department of Research and Geoscientific Prospective, Geological Survey of Spain (IGME), R´ıos Rosas 23, Madrid E-28003, Spainn2 Department of Hydraulic Engineering and Environment, Institute for Water and Environmental Engineering (IIAMA), Technical University ofnValencia, Camino de Vera s, Valencia, E-46022, Spainn3 Mining and Geological Engineering Department, University of Castilla-La Mancha, Campus F´abrica de Armas, Avda. Carlos III, Toledo E-45071,nSpainn4 Department of Research and Geoscientific Prospective, Geological Survey of Spain (IGME), R´ıos Rosas 23, Madrid E-28003, Spainn5 Laboratory of Dendrogeomorphology, Institute of Geological Sciences, University of Berne, CH-3012 Berne, Switzerland Chair for ClimaticnChange and Climate Impacts, Institute for Environmental Sciences, University of Geneva, CH-1227 Carouge-Geneva, Switzerlandn6 Ferrovial-Agrom´an, Ribera del Loira 42, Madrid, E-28042, Spain;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    palaeoflood; tree rings; TLS; peak discharge estimation; Spanish Central System;

    机译:古洪水年轮;TLS;峰值流量估算;西班牙中央系统;
  • 入库时间 2022-08-18 03:37:27

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号