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    Optimal Exponent Values of Distance and Elevation Based on Hourly Rainfall Data in the Modified Inverse Distance Method

    Source: Journal of Hydrologic Engineering:;2019:;Volume ( 024 ):;issue: 010
    Author:
    Ju-Hwan Yoo
    DOI: 10.1061/(ASCE)HE.1943-5584.0001823
    Publisher: American Society of Civil Engineers
    Abstract: 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.
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      Optimal Exponent Values of Distance and Elevation Based on Hourly Rainfall Data in the Modified Inverse Distance Method

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4260535
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    contributor authorJu-Hwan Yoo
    date accessioned2019-09-18T10:42:28Z
    date available2019-09-18T10:42:28Z
    date issued2019
    identifier other%28ASCE%29HE.1943-5584.0001823.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4260535
    description abstractObtaining 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.
    publisherAmerican Society of Civil Engineers
    titleOptimal Exponent Values of Distance and Elevation Based on Hourly Rainfall Data in the Modified Inverse Distance Method
    typeJournal Paper
    journal volume24
    journal issue10
    journal titleJournal of Hydrologic Engineering
    identifier doi10.1061/(ASCE)HE.1943-5584.0001823
    page04019031
    treeJournal of Hydrologic Engineering:;2019:;Volume ( 024 ):;issue: 010
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian