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Identification and Scaling Behavior Assessment of the Dominant Hydrological Factors of Nitrate Concentrations in Streamflow

机译:径流中硝酸盐浓度的主要水文因素的识别和结垢行为评估

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Nitrate-nitrogen (nitrate) pollution remains one of the most common causes of surface water quality degradation. Previous studies explored the fractal scaling behavior of controlling factors, but few studies investigated the change of scaling characteristics with time and the influence of a combination of factors on streamflow nitrate concentration (SFC). This study showed that a suite of hydrological factors impacting the SFC variations at multiple temporal scales can be determined using wavelet coherence analysis. The scaling behavior for controlling factors was evaluated using multifractal detrended fluctuation analysis. Results showed that streamflow and base flow exhibited persistent behavior, whereas the precipitation exhibited variable scaling behaviors that contributed to significant SFC fluctuations at multiple scales. Streamflow had substantial control on the SFC fluctuations when the time scale was shorter than 90 days. The combination of precipitation and streamflow formed the dominant processes impacting SFC at larger temporal scales (>90 days). These results provide an effective way to identify the factors influencing SFC variations across scales and predict the temporal evolution of SFC.
机译:硝酸盐氮(硝酸盐)污染仍然是造成地表水质量下降的最常见原因之一。先前的研究探索了控制因素的分形标度行为,但是很少有研究研究标度特性随时间的变化以及因素组合对流硝酸盐浓度(SFC)的影响。这项研究表明,可以使用小波相干分析确定影响多个时间尺度上SFC变化的一系列水文因素。使用多重分形趋势波动分析评估了控制因素的缩放行为。结果表明,流量和基础流量表现出持续的行为,而降水表现出可变的结垢行为,这些行为在多个尺度上导致显着的SFC波动。当时间尺度短于90天时,流对SFC波动具有实质性控制。降水和水流的结合形成了在较大的时间尺度(> 90天)内影响SFC的主要过程。这些结果提供了一种有效的方法来识别影响SFC跨尺度变化的因素并预测SFC的时间演变。

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