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Identification of low-flow parameters a using hydrological model in selected mountainous basins in Japan

机译:利用水文模型识别日本部分山区流域的低流量参数

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Accurate estimation of the low-flow discharge is very important in evaluating the impact of climate change on water resources. This study focuses on the storage-discharge equation and the optimal parameters of the low flow. In order to investigate the sensitivity of the two parameters in the process of the calculation of low flow, we prepared 19 900 sets of the two parameters in the storage-discharge equation and carried out hydrological analysis using the hourly hydrological model presented by Fujimura et al. (2012). The study basins are the Sameura Dam basin (SAME basin) located in western Japan which has variability of rainfall, and the Shirakawa Dam basin (SIRA basin) located in a region of heavy snowfall in eastern Japan. The period of available hydrological data is 20 years for the SAME basin and 10 years for the SIRA basin. The results suggest that the optimal combination of two parameters can be identified by exponential equations. This study also estimates the annual water balance for the two basins based on hydrological analysis using the optimal parameters in the storage-discharge equation of low flow.
机译:准确估算低流量排放对于评估气候变化对水资源的影响非常重要。这项研究的重点是储流量方程和低流量的最佳参数。为了研究低流量计算过程中这两个参数的敏感性,我们在蓄水流量方程中准备了19 900套这两个参数,并使用Fujimura等人提出的每小时水文模型进行了水文分析。 。 (2012)。研究盆地是位于日本西部的Sameura大坝盆地(SAME盆地),降雨多变,而位于日本东部大雪地区的Shirakawa大坝盆地(SIRA盆地)。 SAME盆地的可用水文数据周期为20年,SIRA盆地的可用水文数据周期为10年。结果表明,可以通过指数方程确定两个参数的最佳组合。这项研究还基于水文分析,利用低流量储水-排泄方程中的最佳参数,估算了两个流域的年度水平衡。

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