...
首页> 外文期刊>Hydrology and Earth System Sciences >Inferring the flood frequency distribution for an ungauged basin using a spatially distributed rainfall-runoff model
【24h】

Inferring the flood frequency distribution for an ungauged basin using a spatially distributed rainfall-runoff model

机译:利用空间分布的降雨径流模型推断未灌流盆地的洪水频率分布

获取原文

摘要

The estimation of the peak river flow for ungauged river sections is atopical issue in applied hydrology. Spatially distributed rainfall-runoffmodels can be a useful tool to this end, since they are potentially able tosimulate the river flow at any location of the watershed drainage network.However, it is not fully clear to what extent these models can providereliable simulations over a wide range of spatial scales. This issue isinvestigated here by applying a spatially distributed, continuous simulationrainfall-runoff model to infer the flood frequency distribution of theRiarbero River. This is an ungauged mountain creek located in northern Italy,whose drainage area is 17 km2. The hydrological model is first calibratedby using a 1-year record of hourly meteorological data and river flowsobserved at the outlet of the 1294 km2 wide Secchia River basin, of whichthe Riarbero is a tributary. The model is then validated by performing a100-year long simulation of synthetic river flow data, which allowed us tocompare the simulated and observed flood frequency distributions at theSecchia River outlet and the internal cross river section of Cavola Bridge,where the basin area is 337 km2. Finally, another simulation of hourlyriver flows was performed by referring to the outlet of the Riarbero River,therefore allowing us to estimate the related flood frequency distribution.The results were validated by using estimates of peak river flow obtained byapplying hydrological similarity principles and a regional method. Theresults show that the flood flow estimated through the application of thedistributed model is consistent with the estimate provided by the regionalprocedure as well as the behaviors of the river banks. Conversely, the methodbased on hydrological similarity delivers an estimate that seems to be not asreliable. The analysis highlights interesting perspectives for theapplication of spatially distributed models to ungauged catchments.
机译:对于未引水河段的洪峰流量的估算是应用水文学中的一个特有的问题。空间分布的降雨径流模型可能是实现此目的的有用工具,因为它们有可能模拟流域排水网络中任何位置的河流流量。但是,目前尚不清楚这些模型在多大程度上可以提供广泛的模拟结果。空间尺度范围。通过应用空间分布的连续模拟降雨-径流模型来推断里亚尔贝罗河的洪水频率分布,对这一问题进行了研究。这是一条位于意大利北部的未开封的小河,其流域面积为17 km 2 。首先通过使用1年的每小时气象数据记录和在1294 km 2 宽的塞奇亚河流域出口处观测到的河流流量来对水文模型进行校准,其中Riarbero是其支流。然后,通过对合成河流流量数据进行长达100年的模拟来验证该模型,从而使我们能够比较塞奇亚河河口和卡沃拉大桥内部跨河断面的模拟和观测洪水频率分布,流域面积为337 km 2 。最后,参考Riarbero河的出口对小时流进行了另一次模拟,因此可以估算相关的洪水频率分布。通过应用水文相似性原理和区域方法得出的峰值河流量估算值对结果进行了验证。 。结果表明,应用分布式模型估算的洪水流量与区域估算结果及河岸行为的估算结果是一致的。相反,基于水文相似性的方法得出的估计似乎不可靠。分析突出了将空间分布模型应用到未集水区的有趣观点。

著录项

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