Creating a Likelihood and Consequence Model to Analyse Rising Main Bursts

Robert Spivey; Sivaraj Valappil

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Paper

Creating a Likelihood and Consequence Model to Analyse Rising Main Bursts

Topics: Geospatial Information and Technologies; Spatial Analysis and Integration; Spatial Modeling and Reasoning; Water Information Systems

In Proceedings of the 4th International Conference on Geographical Information Systems Theory, Applications and Management GISTAM - Volume 1, 167-172, 2018 , Funchal, Madeira, Portugal

Authors: Robert Spivey and Sivaraj Valappil

Affiliation: Thames Water Utilities Ltd, United Kingdom

Keyword(s): Geographical Information System (GIS), Risk Analysis, Spatial Analysis, Spatial Modelling, Data Interpretation, Data Visualisation.

Abstract: A model was created that analysed the likelihood and consequence of a sewage rising main bursting at any given time. Likelihood of failure was analysed through factor analysis using GIS data and historical rising main bursts data. Consequence was analysed through spatial analysis on GIS using multiple spatial joins, property density and a cost of tankering model that was created using data from GIS. This analysis created a likelihood and consequence score for each section of rising main to then create a combined overall risk score. These outputs were then used to develop a rising main planning tool in the data presentation programme Tableau to identify the high risk sites and target asset maintenance and rehab works. This paper will explain how the tool was created and the benefits of the final outputs.

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Paper citation in several formats:

Spivey, R. and Valappil, S. (2018). Creating a Likelihood and Consequence Model to Analyse Rising Main Bursts. In Proceedings of the 4th International Conference on Geographical Information Systems Theory, Applications and Management - GISTAM; ISBN 978-989-758-294-3; ISSN 2184-500X, SciTePress, pages 167-172. DOI: 10.5220/0006669601670172

@conference{gistam18,
author={Robert Spivey. and Sivaraj Valappil.},
title={Creating a Likelihood and Consequence Model to Analyse Rising Main Bursts},
booktitle={Proceedings of the 4th International Conference on Geographical Information Systems Theory, Applications and Management - GISTAM},
year={2018},
pages={167-172},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006669601670172},
isbn={978-989-758-294-3},
issn={2184-500X},
}

TY - CONF

JO - Proceedings of the 4th International Conference on Geographical Information Systems Theory, Applications and Management - GISTAM
TI - Creating a Likelihood and Consequence Model to Analyse Rising Main Bursts
SN - 978-989-758-294-3
IS - 2184-500X
AU - Spivey, R.
AU - Valappil, S.
PY - 2018
SP - 167
EP - 172
DO - 10.5220/0006669601670172
PB - SciTePress