Risk assessment of underground gas pipeline leakage incorporating Geographical Information System (GIS)
Major accidents caused by pipelines, such as explosions, deterioration can be harmful to the population's safety, public health and environment. Therefore, wide attention in preserving pipeline assets is needed to derive risk assessment of the pipelines from the accidents. This paper proposes a...
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Main Authors: | , , |
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Format: | Book Section |
Published: |
Technoarete Publishers
2022
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Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/101665/ http://dx.doi.org/10.36647/978-93-92106-02-6.15 |
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Institution: | Universiti Teknologi Malaysia |
Summary: | Major accidents caused by pipelines, such as explosions, deterioration can be harmful to the population's safety, public health and environment. Therefore, wide attention in preserving pipeline assets is needed to derive risk assessment of the pipelines from the accidents. This paper proposes a pipeline risk assessment method of space and visualisation focused on the existing state of gas pipeline risk assessment using an annotative geographical information system (GIS)-based approach to improve the administrative level of pipeline protection among the human physical area. This study aims to identify the losses of pipeline damage, calculate its losses in physical and monetary terms, and validate the calculated losses and its risk indexes with previous work. The calculation of overall consequences losses focuses on specifically Production Loss (PL), Asset Loss (AL), Human Health and Safety Loss (HHSL), Environment Loss (EL), Public Loss (PubL) and Reputation Loss (RL). An urban area of Bukit Istana is chosen for stimulation and to be investigated. As a result, the consequences loss assessment is produced and shown in the monetary unit. Assessment of hazard- affected bodies around the pipeline in Bukit Istana are also identified through spatial analysis and been visualized. This paper concludes by introducing the application of the environmental risk management method under the influence of the risk estimation system, obtaining the spatial distribution impact of environmental risk visualisation, and providing policymakers with a consistent decision basis. |
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