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http://dx.doi.org/10.11108/kagis.2013.16.3.193

Large-Scale Slope Stability Analysis Using Climate Change Scenario (1): Methodologies  

Choi, Byoung-Seub (Engineering Services Dept. Korea Water Resources Corporation)
Oh, Sung-Ryul (Geum River Flood Control Office, Ministry of Land, infrastructure and Transport)
Lee, Kun-Hyuk (Engineering Services Dept. Korea Water Resources Corporation)
Lee, Gi-Ha (School of Construction & Disaster Prevention Engineering, Kyungpook National University)
Kwon, Hyun-Han (Dept. of Civil Engineering, Jeonbuk National University)
Publication Information
Journal of the Korean Association of Geographic Information Studies / v.16, no.3, 2013 , pp. 193-210 More about this Journal
Abstract
This study aims to assess the slope stability variation of Jeollabuk-do drainage areas by RCM model outputs based on A1B climate change scenario and infinite slope stability model based on the specific catchment area concept. For this objective, we downscaled RCM data in time and space: from watershed scale to rain gauge scale in space and from monthly data to daily data in time and also developed the GIS-based infinite slope stability model based on the concept of specific catchment area to calculate spatially-distributed wetness index. For model parameterization, topographic, geologic, forestry digital map were used and model parameters were set up in format of grid cells($90m{\times}90m$). Finally, we applied the future daily rainfall data to the infinite slope stability model and then assess slope stability variation under the climate change scenario. This research consists of two papers: the first paper focuses on the methodologies of climate change scenario preparation and infinite slope stability model development.
Keywords
Climate Change; A1B Scenario; Jeollabuk-do; Infinite Slope Stability Model; Specific Catchment Area;
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Times Cited By KSCI : 5  (Citation Analysis)
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