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JDR Vol.16 No.4 pp. 561-570
(2021)
doi: 10.20965/jdr.2021.p0561

Paper:

Real-Time Slope Stability Analysis Utilizing High-Resolution Gridded Precipitation Datasets Based on Spatial Interpolation of Measurements at Scattered Weather Station

Nanaha Kitamura*1,†, Akino Watanabe*1, Akihiko Wakai*1, Takatsugu Ozaki*1, Go Sato*2, Takashi Kimura*3, Jessada Karnjana*4, Kanokvate Tungpimolrut*4, Seksun Sartsatit*4, and Udom Lewlomphaisarl*4

*1Gunma University
1-5-1 Tenjin-cho, Kiryu, Gunma 376-8515, Japan

Corresponding author

*2Teikyo Heisei University, Tokyo, Japan

*3Ehime University, Ehime, Japan

*4National Electronics and Computer Technology Center, Pathum Thani, Thailand

Received:
December 5, 2020
Accepted:
February 22, 2021
Published:
June 1, 2021
Keywords:
numerical simulation, inverse distance weighting method, rainfall data, slope failure, groundwater level
Abstract

Measuring the amount of rainfall is essential for a wide-area evaluation of the risk of landslide disaster using a real-time simulation. In Thailand, located in Monsoon Asia, point observation is conducted using a rain gauge. Interpolation calculation is crucial for obtaining the planar rainfall intensity for the wide-area analysis from scattered point observation data. In this study, to accurately calculate rainfall intensity using the inverse distance weighting (IDW) method, the parameters affecting the results are examined. Additionally, using obtained rainfall data, a simple prediction calculation of groundwater level fluctuation by Wakai et al. [1] and Ozaki et al. [2] is performed. Finally, the relationship between the rainfall intensity and the fluctuation of groundwater level will be discussed.

Cite this article as:
Nanaha Kitamura, Akino Watanabe, Akihiko Wakai, Takatsugu Ozaki, Go Sato, Takashi Kimura, Jessada Karnjana, Kanokvate Tungpimolrut, Seksun Sartsatit, and Udom Lewlomphaisarl, “Real-Time Slope Stability Analysis Utilizing High-Resolution Gridded Precipitation Datasets Based on Spatial Interpolation of Measurements at Scattered Weather Station,” J. Disaster Res., Vol.16, No.4, pp. 561-570, 2021.
Data files:
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Last updated on Jun. 22, 2021