A Novel Method of Quantifying Catchment‐Wide Average Peak Propagation Speed in Hillslopes: Fast Hillslope Responses are Detected During Annual Floods in a Steep Humid Catchment

A Novel Method of Quantifying Catchment‐Wide Average Peak Propagation Speed in Hillslopes: Fast Hillslope Responses are Detected During Annual Floods in a Steep Humid Catchment
复制标题

量化山坡流域范围平均峰值传播速度的新方法:在陡峭潮湿流域的年度洪水期间检测到快速山坡响应

DOI:
10.1029/2019wr025070
复制
发表时间:
2020
影响因子:
5.4
通讯作者:
Tomomura Mitsuhide
Tomomura Mitsuhide
中科院分区:
地球科学1区
文献类型:
--
作者:
Asano Yuko;Uchida Taro;Tomomura Mitsuhide

文献摘要

参考文献

相似文献

降雨输入和流量输出之间的滞后时间,即流域的响应速度,是洪水预测的关键参数,但难以量化。在这里,我们提出了一种新方法,根据在陡峭的 4.5 平方公里流域中进行的测量来量化山坡上流域范围内的平均峰值传播速度。流域的高峰滞后时间分为山坡滞后时间和河道滞后时间。峰值传播速度由流路长度除以滞后时间计算得出。我们验证了结果并评估了该方法的适用性和不确定性。该方法可以在强风暴期间应用,并且降雨和流量之间具有可识别的峰值关系。在研究流域内,降水空间变化的影响并不显着。降雨强度的增加和降雨高峰前累积的降雨量增加了峰值传播速度。用于根据分布值表征流路长度的方法引入了一些不确定性。我们使用线性和对数尺度以及各种箱宽度计算模态长度。这些计算导致模态河道长度存在微小差异,但导致模态山坡长度存在十倍以上的差异。因此,所有山坡上的峰值传播速度的不确定性变化了一个数量级。洪水的山坡滞后时间小于2分钟,洪水在山坡上的峰值传播速度为0.04至4.3m/s,复发间隔为一年至几年。所提出的方法和计算数据应提高极端洪水的预测精度。
The lag time between rainfall input and discharge output—that is, the response speed of a catchment—is a key parameter for flood prediction but is difficult to quantify. Here we propose a new method to quantify catchment‐wide average peak propagation speed in hillslopes based on measurements conducted in a steep 4.5‐km2catchment. The peak lag time of the catchment was partitioned into lag times in the hillslope and channel. Peak propagation speed was calculated from flow path length divided by lag time. We verified the results and evaluated the applicability and uncertainty of this method. This method can be applied during intense storms with identifiable peak relationships between rainfall and discharge. The effect of spatial variation in precipitation was insignificant in the study catchment. The increase in rainfall intensity and the rainfall accumulated prior to peak rainfall increased peak propagation speed. The method used to characterize flow path length from distributed values introduced some uncertainty. We calculated modal lengths using linear and logarithmic scales and various bin widths. These calculations resulted in small differences in modal channel length but led to more than tenfold differences in modal hillslope length. Thus, uncertainties for peak propagation speed across all hillslopes varied by one order of magnitude. Hillslope lag times were less than 2 min and peak propagation speed in the hillslopes ranged from 0.04 to 4.3 m/s for floods with recurrence intervals of one to several years. The proposed method and calculated data should improve prediction accuracy for extreme floods.
DOI: --
发表时间: 1995
期刊:
影响因子: --
作者:
Justin Robinson;M. Sivapalan;J. Snell
通讯作者: J. Snell
DOI: 10.1029/2002wr001708
发表时间: 2003-05-01
影响因子: 5.4
作者:
D'Odorico, P;Rigon, R
通讯作者: Rigon, R
DOI: 10.2475/ajs.301.4-5.432
发表时间: 2001-04-01
影响因子: 2.9
作者:
Montgomery, DR
通讯作者: Montgomery, DR
DOI: 10.1016/j.jhydrol.2008.07.023
发表时间: 2008-10
影响因子: 6.4
作者:
M. Tani
通讯作者: M. Tani
从人工追踪实验和延时 ERT 推断出地块尺度的速度和速度动态
DOI: --
发表时间: 2017
期刊:
影响因子: --
作者:
A. Scaini;M. Audebert;C. Hissler;F. Fenicia;L. Gourdol;L. Pfister;K. Beven;K. Beven
通讯作者: K. Beven