Regional seepage and slope stability analyses with historical rainfall analysis

Climate change is projected to cause more intense and unpredicted rainfalls in the future, which might also result in more rainfall-induced slope failures in Singapore. In Singapore, residual soil slopes often experience rainfall-induced failures within the unsaturated zone due to the deep groundwat...

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Main Author: Long, Yilin
Other Authors: Harianto Rahardjo
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2023
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Online Access:https://hdl.handle.net/10356/167449
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Institution: Nanyang Technological University
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spelling sg-ntu-dr.10356-1674492023-05-26T15:34:11Z Regional seepage and slope stability analyses with historical rainfall analysis Long, Yilin Harianto Rahardjo School of Civil and Environmental Engineering CHRAHARDJO@ntu.edu.sg Engineering::Civil engineering Climate change is projected to cause more intense and unpredicted rainfalls in the future, which might also result in more rainfall-induced slope failures in Singapore. In Singapore, residual soil slopes often experience rainfall-induced failures within the unsaturated zone due to the deep groundwater tables. As a result, it is crucial to consider unsaturated soil mechanics when conducting slope stability analyses to identify critical slope areas accurately. Conducting rainfall analyses is important in understanding the patterns and predicting future rainfall events. However, it is also crucial to ensure the accuracy of the results. Hence, this project compared the Root Mean Square Error (RMSE) of two methods and found that the proposed method generally had lower RMSE values than the past research method, except in some years. The rainfall distribution maps were produced using ArcMap using the maximum daily and maximum 5-day antecedent rainfall results from kriging interpolation. It was observed that the spatial distribution for the daily and 5-day antecedent rainfall did not always coincide. The distribution maps were then utilised to obtain the rainfall intensity for GEOtop analyses, which included the maximum daily and maximum 5-day antecedent rainfalls, as well as the zone of interest. Thereafter, Scoops3D was used to assess the slope stability under the two different rainfall events. Two soil slopes within a zone of Bukit Timah Granite in Singapore were selected for slope stability assessment due to the relatively higher rainfall intensity on these 2 slopes based on the rainfall analyses conducted in this study. Due to the high permeability of the soil, further study of the Scoops3D results revealed that these slopes are more likely to experience slope failures when subjected to high intensity but short duration rainfall as compared to prolonged and low intensity rainfall. Bachelor of Engineering (Civil) 2023-05-26T06:56:20Z 2023-05-26T06:56:20Z 2023 Final Year Project (FYP) Long, Y. (2023). Regional seepage and slope stability analyses with historical rainfall analysis. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/167449 https://hdl.handle.net/10356/167449 en application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Civil engineering
spellingShingle Engineering::Civil engineering
Long, Yilin
Regional seepage and slope stability analyses with historical rainfall analysis
description Climate change is projected to cause more intense and unpredicted rainfalls in the future, which might also result in more rainfall-induced slope failures in Singapore. In Singapore, residual soil slopes often experience rainfall-induced failures within the unsaturated zone due to the deep groundwater tables. As a result, it is crucial to consider unsaturated soil mechanics when conducting slope stability analyses to identify critical slope areas accurately. Conducting rainfall analyses is important in understanding the patterns and predicting future rainfall events. However, it is also crucial to ensure the accuracy of the results. Hence, this project compared the Root Mean Square Error (RMSE) of two methods and found that the proposed method generally had lower RMSE values than the past research method, except in some years. The rainfall distribution maps were produced using ArcMap using the maximum daily and maximum 5-day antecedent rainfall results from kriging interpolation. It was observed that the spatial distribution for the daily and 5-day antecedent rainfall did not always coincide. The distribution maps were then utilised to obtain the rainfall intensity for GEOtop analyses, which included the maximum daily and maximum 5-day antecedent rainfalls, as well as the zone of interest. Thereafter, Scoops3D was used to assess the slope stability under the two different rainfall events. Two soil slopes within a zone of Bukit Timah Granite in Singapore were selected for slope stability assessment due to the relatively higher rainfall intensity on these 2 slopes based on the rainfall analyses conducted in this study. Due to the high permeability of the soil, further study of the Scoops3D results revealed that these slopes are more likely to experience slope failures when subjected to high intensity but short duration rainfall as compared to prolonged and low intensity rainfall.
author2 Harianto Rahardjo
author_facet Harianto Rahardjo
Long, Yilin
format Final Year Project
author Long, Yilin
author_sort Long, Yilin
title Regional seepage and slope stability analyses with historical rainfall analysis
title_short Regional seepage and slope stability analyses with historical rainfall analysis
title_full Regional seepage and slope stability analyses with historical rainfall analysis
title_fullStr Regional seepage and slope stability analyses with historical rainfall analysis
title_full_unstemmed Regional seepage and slope stability analyses with historical rainfall analysis
title_sort regional seepage and slope stability analyses with historical rainfall analysis
publisher Nanyang Technological University
publishDate 2023
url https://hdl.handle.net/10356/167449
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