美国科罗拉多州落基山脉高山溪流中重要地貌流量的估算

N. Surian, E. Andrews
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引用次数: 12

摘要

对科罗拉多州落基山脉24个测量站记录的流量进行了分析,得出了区域回归方程,用于估计自然流量未知或因改道或调节而改变的河流的自然流量持续时间和洪水频率。该分析的主要目的是确定是否可以用区域流时方程准确地估计落基山脉中相对高的、不常见的、但对地貌和生态具有重要意义的流量。本研究考虑的地区是一个径流相对丰富的地区,因此是一个水资源开发密集的地区。然而,这里分析的特定溪流没有改变,几乎保持原始状态。导出了两种情况下的区域流时方程。在年平均流量已知的情况下,当流量超过10%时,流量≧10%的不确定度为±9%,当流量超过1.0%时,不确定度为±11%。当平均年流量未知时,可以利用流域平均降水率(m3/s)估算出相对较高、不频繁的流量,超出10%的流量不确定度为±23%,超出1.0%的流量不确定度为±21%。使用本分析中导出的方程估计流量的不确定性比以前报道的要小得多,特别是对于相对较大且不常见的具有地貌意义的流量。这种改进主要是由于分析的流量记录的质量和明确的水文区域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimation of geomorphically significant flows in alpine streams of the Rocky Mountains, Colorado (USA)
Streamflows recorded at 24 gauging stations in the Rocky Mountains of Colorado were analyzed to derive regional regression equations for estimating the natural flow duration and flood frequency in reaches where the natural flows are unknown or have been altered by diversion or regulation. The principal objective of this analysis is to determine whether the relatively high, infrequent, but geomorphically and ecologically important flows in the Rocky Mountains can be accurately estimated by regional flow duration equations. The region considered in this study is an area of relatively abundant runoff, and, consequently, intense water resources development. The specific streams analyzed here, however, are unaltered and remain nearly pristine. Regional flow duration equations are derived for two situations. When the mean annual discharge is known, flows ≧10% of the time can be estimated with an uncertainty of ±9% for the 10% exceedance flow, to ±11% for the 1.0% exceedance flow. When the mean annual discharge is unknown, the relatively high, infrequent flow can be estimated using the mean basin precipitation rate (in m3/s), and basin relief with an uncertainty of ±23% for the 10% exceedance flow to ±21% for the 1.0% exeedance flow. The uncertainty in estimated discharges using the equations derived in this analysis is substantially smaller than has been previously reported, especially for the geomorphically significant flows which are relatively large and infrequent. The improvement is due primarily to the quality of streamflow records analyzed and a well-defined hydrologic region.
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