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http://dx.doi.org/10.5389/KSAE.2022.64.3.075

Ground Subsidence Risk Analysis on Correlation between Rainfall and Rainfall intensity  

Choi, Chang-Ho (Department of Geotechnical Engineering Research, Korea Institute of Civil Engineering and Building Technology)
Kim, Jin-Young (Department of Geotechnical Engineering Research, Korea Institute of Civil Engineering and Building Technology)
Kang, Jae-Mo (Department of Geotechnical Engineering Research, Korea Institute of Civil Engineering and Building Technology)
Lee, Sung-Yeol (Department of Geotechnical Engineering Research, Korea Institute of Civil Engineering and Building Technology)
Baek, Won-Jin (Department of Rural and Biosystems Engineering, Chonnam National University)
Publication Information
Journal of The Korean Society of Agricultural Engineers / v.64, no.3, 2022 , pp. 75-83 More about this Journal
Abstract
Recent settlements and sinkhole openings in urban areas have caused social problems such as damage to roads and structures, fear of the public, and loss of property. Several studies have demonstrated that surface subsidence and sinkhole opening are greatly affected by rainfall and rainfall intensity in urban areas. In this paper, we analyzed the relationship with the characteristics of recorded rainfall data using the ground subsidence database reported in major cities. The correlations were found using sedimentation and precipitation data from 2010 to 2014. The duration and intensity of a given precipitation have evolved to obtain an effect on ground sedimentation rate (SR). The results show that the relationship between SR and precipitation is asymptotic and can be modeled by a hyperbolic equation. Through this study, it is possible to predict the occurrence of ground subsidence due to precipitation in advance.
Keywords
Ground subsidence; risk analysis; intensity and duration of rainfall;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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