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首页> 外文期刊>Journal of hydrologic engineering >Optimal Exponent Values of Distance and Elevation Based on Hourly Rainfall Data in the Modified Inverse Distance Method
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Optimal Exponent Values of Distance and Elevation Based on Hourly Rainfall Data in the Modified Inverse Distance Method

机译:修正反距离法中基于小时降雨数据的距离和高程最优指数值

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Obtaining appropriate, applicable exponent values of distance and elevation in the modified inverse distance method for hourly rainfall interpolation is difficult because the range of the exponent values has not yet been established at existing studies. In this research, an attempt is made to find the optimal exponent values in the modified inverse distance method based on hourly rainfall data. For the purpose of this study, 28 rainfall observation stations providing the data were classified into four groups, which are located at the Han River upstream, the Han River downstream, the Geum River upstream, and the Nakdong River midstream areas in South Korea. A total of 44 cases consisting of one base rainfall station and four index rainfall stations were analyzed. The optimal exponent values of distance and elevation were calculated by a simple nonlinear optimization technique of the steepest gradient method using hourly rainfall data observed for 10 years (2004-2013) and validated using another data for three years (2014-2016) on a case basis across different groups. The proposed modified inverse distance method was found to be superior to the conventional inverse distance method. Worth noting is that the root mean squared error values obtained by the method of this study were smaller than those of the conventional methods in all groups even though they were small in size hydrometeorologically. Therefore, the method proposed in this research can be considered more advanced than the conventional method. The optimal exponent values of distance and elevation obtained in this research were 3.463 and -0.017, 2.559 and 0.741, 2.877 and -0.681, and 3.738 and 2.001, respectively, in the four groups, and the total mean values of the two values were 3.159 and 0.511, respectively. The main factor influencing rainfall between stations when applying the modified inverse distance method with the optimal exponents was found to be the distance, and the altitude is the minor factor.
机译:在修正的逆距离方法中,对于小时降雨插值法,很难获得合适的距离和海拔指数值,因为在现有研究中尚未确定指数值的范围。在这项研究中,尝试根据小时降雨量数据在改进的反距离法中找到最佳指数值。为了本研究的目的,将提供数据的28个降雨观测站分为四个组,分别位于韩国的汉江上游,汉江下游,锦江上游和那洞河中游地区。共分析了44例病例,包括1个基本降雨站和4个指数降雨站。通过使用最陡峭梯度法的简单非线性优化技术,使用观测到的十年(2004-2013)的每小时降雨数据,并使用三年(2014-2016)的另一数据对距离和海拔的最佳指数值进行了验证,不同群体之间的基础。发现提出的改进的逆距离方法优于常规的逆距离方法。值得一提的是,通过本研究方法获得的均方根误差值在所有组中均比常规方法的均方根值小,即使它们在水文气象学上较小。因此,可以认为本研究中提出的方法比常规方法更先进。该研究获得的最佳距离和海拔指数指数分别为3.463和-0.017、2.559和0.741、2.877和-0.681,以及3.738和2.001,并且这两个值的总平均值为3.159和0.511。发现采用改进的反距离法并采用最佳指数时,影响站间降雨的主要因素是距离,海拔是次要因素。

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