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Download fileA GIS based spatial decision support system for modelling contaminant intrusion into water distribution systems
conference contribution
posted on 2018-02-12, 15:08 authored by Kalanithy Vairavamoorthy, J.M. Yan, Harshal Galgale, S. MohanThe paper presents a GIS based spatial decision support system for modelling contaminant intrusion into water distribution
system. Three models have been developed to simulate the process and risk of contamination. A seepage model predicts
the contaminant zone of pollution sources and the change of concentration during migration through soil. A pipe condition
assessment model ranks the condition of water pipe in terms of the potential of contaminant ingress. An ingress model
combines the geometry algorithm with contaminant zone to obtain the potential pollution areas of water distribution pipe.
The three models were integrated with ArcView GIS for supporting decision making for risk mitigation. Zone VIII of water
supply system in Guntur, India was selected for the case study. The contaminant ingress potential and potential pollution
area of water pipes were displayed as thematic maps in GIS. The areas resulting in high risk were identified from the GIS
maps. The availability of resources for maintenance activities are limited in developing countries. Thus GIS based spatial
decision support system helps to achieve maximum risk reduction.
History
School
- Architecture, Building and Civil Engineering
Research Unit
- Water, Engineering and Development Centre (WEDC)
Published in
WEDC ConferenceCitation
VAIRAVAMOORTHY, K. ... et al, 2004. A GIS based spatial decision support system for modelling contaminant intrusion into water distribution systems. IN: Godfrey, S. (ed). People-centred approaches to water and environmental sanitation: Proceedings of the 30th WEDC International Conference, Vientiane, Laos, 25-29 October 2004, pp. 513-520.Publisher
© WEDC, Loughborough UniversityVersion
- VoR (Version of Record)
Publisher statement
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/Publication date
2004Notes
This is a conference paper.Other identifier
WEDC_ID:10710Language
- en