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Evaluation of Spatial Pattern of Altered Flow Regimes on a River Network Using a Distributed Hydrological Model

机译:基于分布式水文模型的河网变化流态空间格局评价

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摘要

Alteration of the spatial variability of natural flow regimes has been less studied than that of the temporal variability, despite its ecological importance for river ecosystems. Here, we aimed to quantify the spatial patterns of flow regime alterations along a river network in the Sagami River, Japan, by estimating river discharge under natural and altered flow conditions. We used a distributed hydrological model, which simulates hydrological processes spatiotemporally, to estimate 20-year daily river discharge along the river network. Then, 33 hydrologic indices (i.e., Indicators of Hydrologic Alteration) were calculated from the simulated discharge to estimate the spatial patterns of their alterations. Some hydrologic indices were relatively well estimated such as the magnitude and timing of maximum flows, monthly median flows, and the frequency of low and high flow pulses. The accuracy was evaluated with correlation analysis (r > 0.4) and the Kolmogorov–Smirnov test (α = 0.05) by comparing these indices calculated from both observed and simulated discharge. The spatial patterns of the flow regime alterations varied depending on the hydrologic indices. For example, both the median flow in August and the frequency of high flow pulses were reduced by the maximum of approximately 70%, but these strongest alterations were detected at different locations (i.e., on the mainstream and the tributary, respectively). These results are likely caused by different operational purposes of multiple water control facilities. The results imply that the evaluation only at discharge gauges is insufficient to capture the alteration of the flow regime. Our findings clearly emphasize the importance of evaluating the spatial pattern of flow regime alteration on a river network where its discharge is affected by multiple water control facilities.
机译:尽管自然流动状态的空间变异性对河流生态系统具有重要的生态意义,但与时间变异性相比,研究较少。在这里,我们旨在通过估算自然和变化的流量条件下的河流流量来量化日本相模河沿河网的流量变化的空间格局。我们使用了分布式水文模型,该模型时空模拟了水文过程,以估算沿河网的20年日流量。然后,根据模拟流量计算了33个水文指数(即水文变化指标),以估算其变化的空间格局。对某些水文指数的估算相对较好,例如最大流量的大小和时间,每月中位数流量以及低流量和高流量脉冲的频率。通过比较根据观察到的流量和模拟流量计算出的这些指标,通过相关分析(r> 0.4)和Kolmogorov–Smirnov检验(α= 0.05)评估了准确性。流态变化的空间模式根据水文指数而变化。例如,八月份的中位数流量和高流量脉冲的频率都减少了约70%的最大值,但在不同的位置(即分别在主流和支流处)检测到了这些最​​强烈的变化。这些结果可能是由于多个水控制设施的不同运行目的所致。结果表明,仅在排放量表处进行的评估不足以捕获流态的变化。我们的研究结果清楚地强调了评估河流流量变化的空间格局的重要性,该河流网络的流量受到多种水控制设施的影响。

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