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A GIS based spatial decision support system for modelling contaminant intrusion into water distribution systems
conference contributionposted on 2018-02-12, 15:08 authored by Kalanithy Vairavamoorthy, J.M. Yan, Harshal Galgale, S. Mohan
The 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.
- Architecture, Building and Civil Engineering
- Water, Engineering and Development Centre (WEDC)
Published inWEDC Conference
CitationVAIRAVAMOORTHY, 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 University
- VoR (Version of Record)
Publisher statementThis 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/
NotesThis is a conference paper.