Fundamental Hydraulics of Cross Sections in Natural Rivers: Preliminary Analysis of a Large Data Set of Acoustic Doppler Flow Measurements

被引:20
作者
Bjerklie, David M. [1 ]
Fulton, John W. [2 ]
Dingman, S. Lawrence [3 ]
Canova, Michael G. [4 ]
Minear, Justin T. [5 ]
Moramarco, Tommaso [6 ]
机构
[1] US Geol Survey, New England Water Sci Ctr, E Hartford, CT 06108 USA
[2] US Geol Survey, Colorado Water Sci Ctr, Lakewood, CO 80225 USA
[3] Univ New Hampshire, Dept Earth Sci, Durham, NH 03824 USA
[4] US Geol Survey, Texas Water Sci Ctr, Austin, TX USA
[5] Univ Colorado, Cooperat Inst Res Environm Sci, Boulder, CO 80309 USA
[6] IRPI Consiglio Nazl Ric, Perugia, Italy
基金
美国国家航空航天局;
关键词
river cross sections; river discharge measurements; river hydraulics;
D O I
10.1029/2019WR025986
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
We have assembled a comprehensive and publicly accessible U.S. Geological Survey (USGS) streamflow measurement data set, called HYDRoSWOT, from a USGS National Water Information System archive of acoustic Doppler current profiler river discharge measurements collected from a wide range of rivers throughout the United States. The data set provides a wealth of information on the range of hydraulic characteristics of river cross sections in the United States. Preliminary exploration of the data set, filtered for quality control, indicates that rivers tend toward consistent and predictable forms as discharge increases. The ratio of maximum-to-mean depth is highly predictable and is remarkably consistent across all river sizes and discharges. Distributions of hydraulic characteristics provide a large-scale perspective on the general hydraulic characteristics of rivers. The data set affords the opportunity to analyze hydraulic relations for individual rivers as a function of stage, geomorphic setting, and energy environments and, combined with additional information contained in this data set, might yield predictive relations that could help constrain and parameterize river hydraulic models.
引用
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页数:8
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