Geostatistical Analysis for Mapping of Soil Properties

Alfrendo Satyanaga; Sung Woo Moon; Dichuan Zhang; Jong Kim

doi:10.1007/978-3-031-43455-6_17

Geostatistical Analysis for Mapping of Soil Properties

Alfrendo Satyanaga, Sung Woo Moon, Dichuan Zhang, Jong Kim

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Rainfall-induced landslides are amongst the most frequent hazards in Singapore. Most of those slope instabilities occur in residual soils and are triggered by intense and long rains. In the future, rainfall-induced landslides are expected to be more frequent due to climate change. For prevention against such incidents, the knowledge about hazardous areas is required. A common tool for evaluating such areas is landslide hazard map. Normally, a combination of field and desk studies based on different geological maps are used for landslide hazard map. In Singapore a lot of researches and studies have been done on residual soils. Therefore, the characteristic of residual soil properties were used as basis for landslide hazard mapping in this study. One challenge of this approach is to transform measurements made at point locations into an output of a continuous field. Geostatistical analysis could be the solution for this problem. Geostatistics provides methods for interpolating spatial data. This study presents a possible method of geostatistical analysis for mapping of soil properties as a part of landslide hazard map.

Original language	English
Title of host publication	Knowledge Transfer in the Sustainable Rehabilitation and Risk Management of the Built Environment - KNOW-RE-BUILT. Proceedings of the Online International Multiplier Event/Conference, 2021
Editors	Ancuța Rotaru
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	179-190
Number of pages	12
ISBN (Print)	9783031434549
DOIs	https://doi.org/10.1007/978-3-031-43455-6_17
Publication status	Published - 2024
Event	International Conference on Knowledge Transfer in the Sustainable Rehabilitation and Risk Management of the Built Environment, KNOW-RE-BUILT 2021 - Virtual, Online Duration: Dec 15 2021 → Dec 16 2021

Publication series

Name	Springer Series in Geomechanics and Geoengineering
ISSN (Print)	1866-8755
ISSN (Electronic)	1866-8763

Conference

Conference	International Conference on Knowledge Transfer in the Sustainable Rehabilitation and Risk Management of the Built Environment, KNOW-RE-BUILT 2021
City	Virtual, Online
Period	12/15/21 → 12/16/21

Keywords

Geostatistical
Kriging
Soil mapping
Spatial

ASJC Scopus subject areas

Geotechnical Engineering and Engineering Geology
Mechanics of Materials

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-031-43455-6_17

Cite this

Satyanaga, A., Moon, S. W., Zhang, D., & Kim, J. (2024). Geostatistical Analysis for Mapping of Soil Properties. In A. Rotaru (Ed.), Knowledge Transfer in the Sustainable Rehabilitation and Risk Management of the Built Environment - KNOW-RE-BUILT. Proceedings of the Online International Multiplier Event/Conference, 2021 (pp. 179-190). (Springer Series in Geomechanics and Geoengineering). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-43455-6_17

Geostatistical Analysis for Mapping of Soil Properties. / Satyanaga, Alfrendo ; Moon, Sung Woo ; Zhang, Dichuan et al.
Knowledge Transfer in the Sustainable Rehabilitation and Risk Management of the Built Environment - KNOW-RE-BUILT. Proceedings of the Online International Multiplier Event/Conference, 2021. ed. / Ancuța Rotaru. Springer Science and Business Media Deutschland GmbH, 2024. p. 179-190 (Springer Series in Geomechanics and Geoengineering).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Satyanaga, A , Moon, SW , Zhang, D & Kim, J 2024, Geostatistical Analysis for Mapping of Soil Properties. in A Rotaru (ed.), Knowledge Transfer in the Sustainable Rehabilitation and Risk Management of the Built Environment - KNOW-RE-BUILT. Proceedings of the Online International Multiplier Event/Conference, 2021. Springer Series in Geomechanics and Geoengineering, Springer Science and Business Media Deutschland GmbH, pp. 179-190, International Conference on Knowledge Transfer in the Sustainable Rehabilitation and Risk Management of the Built Environment, KNOW-RE-BUILT 2021, Virtual, Online, 12/15/21. https://doi.org/10.1007/978-3-031-43455-6_17

Satyanaga A , Moon SW , Zhang D , Kim J. Geostatistical Analysis for Mapping of Soil Properties. In Rotaru A, editor, Knowledge Transfer in the Sustainable Rehabilitation and Risk Management of the Built Environment - KNOW-RE-BUILT. Proceedings of the Online International Multiplier Event/Conference, 2021. Springer Science and Business Media Deutschland GmbH. 2024. p. 179-190. (Springer Series in Geomechanics and Geoengineering). doi: 10.1007/978-3-031-43455-6_17

Satyanaga, Alfrendo ; Moon, Sung Woo ; Zhang, Dichuan et al. / Geostatistical Analysis for Mapping of Soil Properties. Knowledge Transfer in the Sustainable Rehabilitation and Risk Management of the Built Environment - KNOW-RE-BUILT. Proceedings of the Online International Multiplier Event/Conference, 2021. editor / Ancuța Rotaru. Springer Science and Business Media Deutschland GmbH, 2024. pp. 179-190 (Springer Series in Geomechanics and Geoengineering).

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AB - Rainfall-induced landslides are amongst the most frequent hazards in Singapore. Most of those slope instabilities occur in residual soils and are triggered by intense and long rains. In the future, rainfall-induced landslides are expected to be more frequent due to climate change. For prevention against such incidents, the knowledge about hazardous areas is required. A common tool for evaluating such areas is landslide hazard map. Normally, a combination of field and desk studies based on different geological maps are used for landslide hazard map. In Singapore a lot of researches and studies have been done on residual soils. Therefore, the characteristic of residual soil properties were used as basis for landslide hazard mapping in this study. One challenge of this approach is to transform measurements made at point locations into an output of a continuous field. Geostatistical analysis could be the solution for this problem. Geostatistics provides methods for interpolating spatial data. This study presents a possible method of geostatistical analysis for mapping of soil properties as a part of landslide hazard map.

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Geostatistical Analysis for Mapping of Soil Properties

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

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Cite this