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Multifractal description of streamflow and suspended sediment concentration data from Indian river basins

机译:印度河流流域流流程的多分术描述和悬浮沉积物浓度数据

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This study investigated the multifractality of streamflow data of 192 stations located in 13 river basins in India using the multifractal detrended fluctuation analysis (MF-DFA). The streamflow datasets of different river basins displayed multifractality and long-term persistence with a mean exponent of 0.585. The streamflow records of Krishna basin displayed least persistence and that of Godavari basin displayed strongest multifractality and complexity. Subsequently, the streamflow-sediment links of five major river basins were evaluated using the novel multifractal cross-correlation analysis (MFCCA) method of cross-correlation studies. The results showed that the joint persistence of streamflow and total suspended sediments (TSS) is approximately the mean of the persistence of individual series. The streamflow displayed higher persistence than TSS in 60% of the stations while in majority of stations of Godavari basin the trend was opposite. The annual cross-correlation is higher than seasonal cross-correlation in majority of stations but at these time scales strength of their association differs with river basin.
机译:本研究研究了192个站的流出数据,位于印度13个河流盆地的192站,使用多重术后波动分析(MF-DFA)。不同河流流域的Streamflow数据集显示了多重性和长期持久性,其平均指数为0.585。 Krishna Basin的Streamflow记录显示最少持久性,而不是浪漫盆地的持久性显示出最强的多重性和复杂性。随后,使用新型多重分态互相关分析(MFCCA)的互相关研究方法评估五个主要河流盆地的流流沉积物。结果表明,流流和总悬浮沉积物(TSS)的关节持续存在于各个系列持久性的平均值。流出的持久性比在60%的车站中的持久性更高,而在Godavari盆地的大多数站点趋势相反。年的互相关高于大多数站的季节性互相关,但在这些时间的时间尺度与河流域的关系不同。

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