Investigation of groundwater table distribution using borehole piezometer data interpolation : case study of Singapore

The variation of groundwater table is important information for Civil Engineering and related practices. The most appropriate datasets for the groundwater table mapping are the water level measurements in borehole piezometers. The methods for development of the groundwater table distribution on a co...

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Main Authors: Nistor, Margarit Mircea, Rahardjo, Harianto, Satyanaga, Alfrendo, Hao, Koh Zhe, Xiaosheng, Qin, Sham, Aaron Wai Lun
Other Authors: School of Civil and Environmental Engineering
Format: Article
Language:English
Published: 2021
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Online Access:https://hdl.handle.net/10356/154273
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1542732021-12-16T07:43:11Z Investigation of groundwater table distribution using borehole piezometer data interpolation : case study of Singapore Nistor, Margarit Mircea Rahardjo, Harianto Satyanaga, Alfrendo Hao, Koh Zhe Xiaosheng, Qin Sham, Aaron Wai Lun School of Civil and Environmental Engineering Engineering::Civil engineering Borehole Piezometer Groundwater Table The variation of groundwater table is important information for Civil Engineering and related practices. The most appropriate datasets for the groundwater table mapping are the water level measurements in borehole piezometers. The methods for development of the groundwater table distribution on a continuous surface are affected by the hydrological factors and spatial variability of the soils. In this study, the piezometer data of the groundwater table in soils from four formations in Singapore were used to predict the continuous surface of the groundwater table. The interpolation of groundwater table elevation was performed using geostatistical analyses: inverse distance weighted (IDW) and Ordinary Kriging (OK) interpolations within residual soils from Bukit Timah Granite Formation, Old Alluvium Formation, Jurong Formation, and Kallang Formation. The interpolations were completed based on 80% of dataset (1,282 piezometers for wet season and 2,567 piezometers for dry season). The evaluation of the predicted groundwater table maps was carried out using cross-validation method (CVM) based on 20% of the datasets (256 piezometers for wet season and 512 piezometers for dry season). The results show that the IDW and OK interpolations generated quite similar predictions of the groundwater table distribution ranging between -3.7 m and 58 m elevation with respect to sea level, depending on hydrogeological conditions and soil formation characteristics. The validation method indicated a very good performance of IDW and OK in predicting the groundwater table distribution in Singapore (r2 > 0.8). The proposed procedures and methodologies covering the interpretation of data from piezometers, spatial analyses and evaluation of groundwater table map via geographical information system (GIS) approach presented in this paper will benefit Civil Engineers prior to building construction. The developed groundwater table map will be useful to determine the optimum number of piezometers still required for designs, to design the low cost and effective ground improvement, foundation and retaining wall in order to ensure the stability of the building during and after the completion of the project. Building and Construction Authority (BCA) The authors would like to acknowledge the funding support from Building Construction Authority and the sharing of the data from Singapore Land Authority, who are the collaborators of the project on The Development of Slope Management and Susceptibility Geographical Information System. 2021-12-16T07:43:11Z 2021-12-16T07:43:11Z 2020 Journal Article Nistor, M. M., Rahardjo, H., Satyanaga, A., Hao, K. Z., Xiaosheng, Q. & Sham, A. W. L. (2020). Investigation of groundwater table distribution using borehole piezometer data interpolation : case study of Singapore. Engineering Geology, 271, 105590-. https://dx.doi.org/10.1016/j.enggeo.2020.105590 0013-7952 https://hdl.handle.net/10356/154273 10.1016/j.enggeo.2020.105590 2-s2.0-85082171300 271 105590 en Engineering Geology © 2020 Elsevier B.V. All rights reserved.
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
Borehole Piezometer
Groundwater Table
spellingShingle Engineering::Civil engineering
Borehole Piezometer
Groundwater Table
Nistor, Margarit Mircea
Rahardjo, Harianto
Satyanaga, Alfrendo
Hao, Koh Zhe
Xiaosheng, Qin
Sham, Aaron Wai Lun
Investigation of groundwater table distribution using borehole piezometer data interpolation : case study of Singapore
description The variation of groundwater table is important information for Civil Engineering and related practices. The most appropriate datasets for the groundwater table mapping are the water level measurements in borehole piezometers. The methods for development of the groundwater table distribution on a continuous surface are affected by the hydrological factors and spatial variability of the soils. In this study, the piezometer data of the groundwater table in soils from four formations in Singapore were used to predict the continuous surface of the groundwater table. The interpolation of groundwater table elevation was performed using geostatistical analyses: inverse distance weighted (IDW) and Ordinary Kriging (OK) interpolations within residual soils from Bukit Timah Granite Formation, Old Alluvium Formation, Jurong Formation, and Kallang Formation. The interpolations were completed based on 80% of dataset (1,282 piezometers for wet season and 2,567 piezometers for dry season). The evaluation of the predicted groundwater table maps was carried out using cross-validation method (CVM) based on 20% of the datasets (256 piezometers for wet season and 512 piezometers for dry season). The results show that the IDW and OK interpolations generated quite similar predictions of the groundwater table distribution ranging between -3.7 m and 58 m elevation with respect to sea level, depending on hydrogeological conditions and soil formation characteristics. The validation method indicated a very good performance of IDW and OK in predicting the groundwater table distribution in Singapore (r2 > 0.8). The proposed procedures and methodologies covering the interpretation of data from piezometers, spatial analyses and evaluation of groundwater table map via geographical information system (GIS) approach presented in this paper will benefit Civil Engineers prior to building construction. The developed groundwater table map will be useful to determine the optimum number of piezometers still required for designs, to design the low cost and effective ground improvement, foundation and retaining wall in order to ensure the stability of the building during and after the completion of the project.
author2 School of Civil and Environmental Engineering
author_facet School of Civil and Environmental Engineering
Nistor, Margarit Mircea
Rahardjo, Harianto
Satyanaga, Alfrendo
Hao, Koh Zhe
Xiaosheng, Qin
Sham, Aaron Wai Lun
format Article
author Nistor, Margarit Mircea
Rahardjo, Harianto
Satyanaga, Alfrendo
Hao, Koh Zhe
Xiaosheng, Qin
Sham, Aaron Wai Lun
author_sort Nistor, Margarit Mircea
title Investigation of groundwater table distribution using borehole piezometer data interpolation : case study of Singapore
title_short Investigation of groundwater table distribution using borehole piezometer data interpolation : case study of Singapore
title_full Investigation of groundwater table distribution using borehole piezometer data interpolation : case study of Singapore
title_fullStr Investigation of groundwater table distribution using borehole piezometer data interpolation : case study of Singapore
title_full_unstemmed Investigation of groundwater table distribution using borehole piezometer data interpolation : case study of Singapore
title_sort investigation of groundwater table distribution using borehole piezometer data interpolation : case study of singapore
publishDate 2021
url https://hdl.handle.net/10356/154273
_version_ 1720447101242966016