Proceedings of the First International Conference on Combinatorial and Optimization, ICCAP 2021, December 7-8 2021, Chennai, India

Research Article

Water Distribution Network Analysis for Vellore Town Panchayat Using GIS and EPANET

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  • @INPROCEEDINGS{10.4108/eai.7-12-2021.2315104,
        author={Elangovan  K},
        title={Water Distribution Network Analysis for Vellore Town Panchayat Using GIS and EPANET},
        proceedings={Proceedings of the First International Conference on Combinatorial and Optimization, ICCAP 2021, December 7-8 2021, Chennai, India},
        publisher={EAI},
        proceedings_a={ICCAP},
        year={2021},
        month={12},
        keywords={water distribution population capacity arcview gis epanet network},
        doi={10.4108/eai.7-12-2021.2315104}
    }
    
  • Elangovan K
    Year: 2021
    Water Distribution Network Analysis for Vellore Town Panchayat Using GIS and EPANET
    ICCAP
    EAI
    DOI: 10.4108/eai.7-12-2021.2315104
Elangovan K1,*
  • 1: PSG College of Technology
*Contact email: ela.civil@psgtech.ac.in

Abstract

Water distribution system serves many purposes in addition to the provision of water for the human consumption and hence it is an important component in the development of an area. Due to urbanization, the population of city is increasing drastically and hence the distribution system should be designed in such a way that it should satisfy the consumers demand at adequate pressure. Analysis of water distribution system involves determining the quantities of flow, head loss in various pipes sections and resulting residual pressure. The study area chosen for the project is Vellalore town panchayat of Coimbatore district. The main source of water supply to the area is from Athikadavu. The present distribution system consists of 7 overhead tanks which is inefficient to meet the future demands. The feasibility of increasing the tank in the study area was identified. New tank location is placed foreseeing the future population expansion of the area. The topographic map of the study area is obtained from Google earth. Spatially bound network model for the newly determined capacity is created by using polyline theme in ArcView GIS software. The network created is based on the road pattern of the area. The network model generated is georeferenced to real world features. The georeferenced network from ArcView GIS is imported into the EPANET by using interchange tool. Nodal elevation is taken from digital elevation map.