Climate and Landscape Controls of Regional Patterns of Flow Duration Curves Across the Continental United States: Statistical Approach
Climate and Landscape Controls of Regional Patterns of Flow Duration Curves Across the Continental United States: Statistical Approach
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DOI：
10.1029/2020wr028041
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发表时间：
2020-11
影响因子：
5.4
通讯作者：
S. Ghotbi;Dingbao Wang;Arvind Singh;T. Mayo;M. Sivapalan
中科院分区：
文献类型：
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作者：
S. Ghotbi;Dingbao Wang;Arvind Singh;T. Mayo;M. Sivapalan
流量历时曲线（FDC）是一个水文意义上的代表性的统计分布的日径流。FDC过程的复杂性为直接探索FDC的物理控制带来了挑战。在本文中，FDC的气候和集水特征的控制进行了探讨，使用一个随机的框架，使建设的FDC从三个组成部分的径流：快，慢流（在潮湿的日子）和慢流在干燥的日子。考虑到快流持续时间曲线（FFDC）和慢流持续时间曲线（SFDCw）的相关性，将湿天FDC（FDCw）计算为快流持续时间曲线（FFDC）和慢流持续时间曲线（SFDCw）的统计和。通过考虑常年河流的湿润天数比例（δ）和短暂河流的δ和零流量天数比例，将FDC建模为FDCw和枯水期慢流持续时间曲线（SFDCd）的混合分布。Kappa分布拟合的FFDC，SFDCw，和SFDCd为300集水区模型参数估计实验（MOPEX）在美国各地。结果表明，FDC 0- 20百分位数由FFDC和SFDCw控制，FDC 90- 100百分位数由SFDCd控制，FDC 20- 90百分位数由3个组分控制。估算的Kappa分布参数与气候和流域特征之间的关系表明，干旱指数、日降水量变异系数、降水时间、风暴和降雪间隔时间、地形坡度和退坡曲线斜率是主导控制因子。
The flow duration curve (FDC) is a hydrologically meaningful representation of the statistical distribution of daily streamflows. The complexity of processes contributing to the FDC introduces challenges for the direct exploration of physical controls on FDC. In this paper, the controls of climate and catchment characteristics on FDC are explored using a stochastic framework that enables construction of the FDC from three components of streamflow: fast and slow flow (during wet days) and slow flow during dry days. The FDC during wet days (FDCw) is computed as the statistical sum of the fast flow duration curve (FFDC) and the slow flow duration curve (SFDCw), considering their dependency. FDC is modeled as the mixture distribution of FDCw and the slow flow duration curve during dry days (SFDCd), by considering the fraction of wet days (δ) for perennial streams and both δ and the fraction of days of zero streamflow for ephemeral streams. The Kappa distribution is employed to fit the FFDC, SFDCw, and SFDCd for 300 catchments from Model Parameter Estimation Experiment (MOPEX) across the United States. Results show that the 0–20th percentile of FDC is controlled by FFDC and SFDCw, the 90–100th percentile of FDC is controlled by SFDCd, and the 20–90th percentile of FDC is controlled by three components. The relationships between estimated Kappa distribution parameters and climate and catchment characteristics reveal that the aridity index, the coefficient of variation of daily precipitation, timing of precipitation, time interval between storms, snow, topographic slope, and slope of recession slope curve are dominant controlling factors.