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Fractal nature of groundwater level fluctuations affected by riparian zone vegetation water use and river stage variations

机译:河岸区植被用水和河流阶段影响地下水位波动的分形性质

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Groundwater systems affected by various factors can exhibit complex fractal behaviors, whose reliable characterization however is not straightforward. This study explores the fractal scaling behavior of the groundwater systems affected by plant water use and river stage fluctuations in the riparian zone, using multifractal detrended fluctuation analysis (MFDFA). The multifractal spectrum based on the local Hurst exponent is used to quantify the complexity of fractal nature. Results show that the water level variations at the riparian zone of the Colorado River, USA, exhibit multifractal characteristics mainly caused by the memory of time series of the water level fluctuations. The groundwater level at the monitoring well close to the river characterizes the season-dependent scaling behavior, including persistence from December to February and anti-persistence from March to November. For the site with high-density plants (Tamarisk ramosissima, which requires direct access to groundwater as its source of water), the groundwater level fluctuation becomes persistent in spring and summer, since the plants have the most significant and sustained influence on the groundwater in these seasons, which can result in stronger memory of the water level fluctuation. Results also show that the high-density plants weaken the complexity of the multifractal property of the groundwater system. In addition, the groundwater level variations at the site close to the river exhibit the most complex multifractality due to the influence of the river stage fluctuation.
机译:受各种因素影响的地下水系统可以表现出复杂的分形行为,但其可靠的表征然而不仅仅是直截了当的。本研究探讨了采用多法反转波动分析(MFDFA)对河流区影响受植物用水和河流阶段波动影响的地下水系统的分形缩放行为。基于本地赫斯特指数的多法谱用于量化分形性质的复杂性。结果表明,美国科罗拉多河河岸区的水位变化,表现出多分术特征,主要是由水位波动的时间序列的记忆引起的。监测的地下水位靠近河流,临近季节依赖的扩展行为,包括从12月到2月到2月的持久性,并从3月到11月的反执润。对于具有高密度植物的网站(Tamarisk Ramosissima,需要直接进入地下水作为其水源),地下水位波动在春季和夏季持久地变得持久,因为该植物对地下水具有最大的显着和持续影响这些季节,这可能导致水位波动的更强烈记忆。结果还表明,高密度植物削弱了地下水系统的多乳糖特性的复杂性。此外,由于河流阶段波动的影响,靠近河流靠近河流的地下水位变化表现出最复杂的多重性。

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