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首页> 外文期刊>Hydrology and Earth System Sciences >Scale invariance of daily runoff time series in agricultural watersheds
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Scale invariance of daily runoff time series in agricultural watersheds

机译:农业流域日径流时间序列的尺度不变性

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Fractal scaling behavior of long-term records of daily runoff time series in 31 sub-watersheds covering a wide range of size were examined using the shifted box-counting method and Hurst resealed range (R/S) analysis. These subwatersheds were associated with four agricultural watersheds of different climate and topography. The results showed that the records of daily runoff rate exhibited scale invariance over certain time scales. Two scaling ranges were identified from the shifted box-counting plots with a break point at about 9 similar to 12 months. Similar fractal dimensions were obtained for the sub-watersheds within each watershed, indicating that the runoff of these sub-watersheds have similar distribution of occurrence. The Hurst R/S analysis showed that the long-term memory was not present in runoff time series. The presence of scaling is not certain for runoff time series in agricultural watersheds.
机译:使用移位盒计数法和Hurst重新密封范围(R / S)分析检查了31个小流域的日径流时间序列的长期记录的分形缩放行为,该流域覆盖了大范围的大小。这些子集水区与四个气候和地形不同的农业集水区相关。结果表明,日径流量记录在一定的时间尺度上表现出尺度不变性。从移位的盒计数图中确定了两个缩放范围,其断裂点在大约9点,类似于12个月。对于每个集水区中的子集水区,获得了相似的分形维数,表明这些子集水区的径流具有相似的分布分布。 Hurst R / S分析表明,径流时间序列中不存在长期记忆。对于农业流域的径流时间序列,是否存在结垢是不确定的。

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