Real Time Water Utility Model Using GIS: A Case Study in Coimbatore District

  • G. Praveen Kumar
  • P. Geetha
  • G. A. Shanmugasundaram
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 385)

Abstract

Water has become the eternal wonder in 21st century with rapid increase of population and expansion of city limits. The demand for the water has grown up exponentially. Water distribution network needs an efficient modeling for the operation and maintenance with minimal errors in catering to the needs of people with the equitable amount of water through out the year. Creating a simulation model of a real time water distribution network with the account of the pressure and elevation to analyze the flow distribution between the nodes and demand in the network. Geographical information system is an effective tool for decision support using ArcGIS and Water-gems software. Here we tried to characterize the size of pipes with the different diameters of pipes used in the network. The results of the simulation model shows drastic change in the demands resulting in consequences like back-flow, high pressure zone and negative pressure leading to the leakage of pipes making more investment towards the installation and maintenance cost. Main aim of this research is to carry out hydraulic modelling of water distribution network using GIS and reducing the leakage in the pressure zones in saving the time and to minimize the expenditure towards the maintenance. Thus by creating an equity model for the water distribution network in fulfilling minimal demand required across the city.

Keywords

Water distribution Smart city GIS Watergems Coimbatore city 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Gad, A.A., Mohammed, H.I.: Impact of pipes networks simplification on water hammer phenomenon. Sadhana 39(5), 1227–1244 (2014)CrossRefMathSciNetGoogle Scholar
  2. Araujo, L.S., Ramos, H., Coelho, S.T.: Pressure control for leakage minimisation in water distribution systems management. Water Resources Management 20(1), 133–149 (2006)CrossRefGoogle Scholar
  3. Besner, M.-C., Ebacher, G., Jung, B.S., Karney, B., Lavoie, J., Payment, P., Prévost, M.: Negative pressures in full-scale distribution system: field investigation, modelling, estimation of intrusion volumes and risk for public health. Drinking Water Engineering and Science 3(2), 101–106 (2010)CrossRefGoogle Scholar
  4. Chandapillai, J., Sudheer, K.P., Saseendran, S.: Design of water distribution network for equitable supply. Water resources management 26(2), 391–406 (2012)CrossRefGoogle Scholar
  5. Creaco, E., Franchini, M.: A new algorithm for real-time pressure control in water distribution networks. Water Sci. Technol.: Water Supply 13(4), 875–882 (2013)Google Scholar
  6. Eljamassi, A., Abeaid, R.A.: A GIS-based DSS for management of water distribution networks (rafah city as case study) (2013)Google Scholar
  7. Hopkins, M.: Critical Node Analysis for Water Distribution Systems Using Flow Distribution. Ph.D. thesis, California Polytechnic State University, San Luis Obispo (2012)Google Scholar
  8. Kwon, H.: Computer simulations of transient flow in a real city water distribution system. KSCE Journal of Civil Engineering (2007)Google Scholar
  9. Machell, J., Mounce, S.R., Boxall, J.B.: Online modelling of water distribution systems: a UK case study. Drinking Water Engineering and Science 3(1), 21–27 (2010)CrossRefGoogle Scholar
  10. McKenzie, R., Wegelin, W.: Implementation of pressure management in municipal water supply systems. In: EYDAP Conference Water: The Day After, Greece (2009)Google Scholar
  11. Stoianov, I., Nachman, L., Madden, S., Tokmouline, T., Csail, M.: Pipenet: a wireless sensor network for pipeline monitoring. In: 6th International Symposium on Information Processing in Sensor Networks. IPSN 2007, pp. 264–273. IEEE (2007)Google Scholar
  12. Keyser, G., Tang, T.: Spatial analysis of household water supply and demand in a distributed geographic network in the towns of amherst and clarence, New York. Middle States Geographer 40, 133–141 (2007)Google Scholar
  13. Wu, Z.Y., Wang, R.H., Walski, T.M., Yang, S.Y., Bowdler, D., Baggett, C.C.: Efficient pressure dependent demand model for large water distribution system analysis. In: Proceedings of the 8th Annual Water Distribution System Analysis Symposium (2006)Google Scholar
  14. Xu, Q., Chen, Q., Ma, J., Blanckaert, K., Wan, Z.: Water saving and energy reduction through pressure management in urban water distribution networks. Water resources management 28(11), 3715–3726 (2014)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • G. Praveen Kumar
    • 1
  • P. Geetha
    • 1
  • G. A. Shanmugasundaram
    • 2
  1. 1.Center for Excellence in Computational Engineering and NetworkingAmrita Vishwa Vidyapeetham UniversityCoimbatoreIndia
  2. 2.Department of Electronics and Communication EngineeringAmrita Vishwa Vidyapeetham UniversityCoimbatoreIndia

Personalised recommendations