TSD Algorithm to Design CA Based Expert System for Pipelining to Stop Urban Flood

  • Authors

    • Neeraj Kumar
    • Geeta Arora
    • Alka Agrawal
    • Raees Ahmad Khan
    2018-08-04
    https://doi.org/10.14419/ijet.v7i3.1.16798
  • Hexagonal cell, Cellular Automata (CA), Urban Flood, Optimization and Pipeline design.
  • Flood is a frequent disaster disturbing the daily life and sometimes found deadly. Out of all kind of floods, urban flood is avoidable through quick exit of drainage. Urban flood starts water logging that can be eliminated by efficient pipeline structure. A dedicated drainage pipeline structure may facilitate better during urban flood.  A Cellular Automata is a theoretical computer science tool used to solve complex problems as well as to design structures. In these days, applications of CA continuously increasing, out of which an application of designing a flood avoidance drainage mechanism using CA based structure presented in this paper. To generate knowledge for an expert system to design a flood free city in initial stage of development of a city this paper presents a structure for maximum way of exit. This structure including tanks connected at every corner to minimize the dependency on ground water and reuse the rainwater. In order to avoid flood, minimum size of tanks has been calculated by proposed Tank Size Descriptor (TSD) algorithm with the help of actual rainfall data. With the help of TSD algorithm any expert system of civil engineering will be able to suggest a design of a flood free city using hexagonal shapes within the cellular automata.

     

     

  • References

    1. [1] Kumar, N., Agrawal, A., & Khan, R. A. (2018). A Novel Drainage System Using CA to Avoid Urban Flood. International Journal of Applied Evolutionary Computation (IJAEC), 9(2), 38-51. doi:10.4018/IJAEC.2018040104

      [2] A. S. Chen, J. Leandro, S. Djordjević, 2015, Modelling sewer discharge via displacement of manhole covers during flood events using 1D/2D SIPSON/P-DWave dual drainage simulations, Urban Water Journal. DOI:10.1080/1573062X.2015.1041991

      [3] S. Croci, A. Paoletti, P. Tabellini, “URBFEP model for basin scale simulation of urban floods constrained by sewerage’s size limitationsâ€, 12th International Conference on Computing and Control for the WaterIndustry, CCWI2013
      Procedia Engineering, Elsevier.

      [4] Dottori F., Todini E., “a 2d flood inundation model based on cellular automata approachâ€, In: Carrera J. (ed), cimne, xviii international conference on water resources cmwr, barcelona 2010.

      [5] urban flooding, India urban climate change fact sheets, National Institute of urban affairs, September 2016

      [6] Horritt M.S. and Bates P.D., “Evaluation of 1-D and 2-D numerical models for predicting river flood inundationâ€. J. Hydrol. 268 (1–4), 87–99 (2002).

      [7] Jetmarova H.M., Schwarz S., Barton A., Roux S.L., Smalley P. and Gerke S., “Development of hydraulic models for a complex and large scale water distribution system in regional Australiaâ€, 19th International Congress on Modelling and Simulation, Perth, Australia, 12–16 December 2011, pp. 3314-3320.

      [8] Liu J., Yang S., Wiltshire J., “Applying mathematical model to simplify the procession of pipeline route selectionâ€, In: Showcasing the Future - Proceedings of the 2013 Congress, World Environmental and Water Resources Congress 2013, United States: American Society of Civil Engineers (pp. 1657-1668).

      [9] Kothari C. R., Research Methodology: Methods & techniques, New age international (P) Limited, Publishers.

      [10] G. Ramprabu, S. Nagarajan, “Design and Analysis of Novel Modified Cross Layer Controller for WMSNâ€, Indian Journal of Science and Technology, Vol 8(5), March 2015, pp.438-444.

      [11] Rushd MMM. S., “A new approach to model friction losses in the water-assisted pipeline transportation of heavy oil and bitumenâ€, A Ph.D thesis, Department of Chemical and Materials Engineering University of Alberta, 2016.

      [12] Shin H., Joo C., Koo J., “Optimal Rehabilitation Model for Water Pipeline Systems with Genetic Algorithmâ€, 12th International Conference on Hydroinformatics, HIC 2016, pp. 384-390.

      [13] Yu D, Lane S.N., “Urban fluvial flood modelling using a two dimensional diffusion-wave treatment. Part 1: mesh resolution effectsâ€. Hydrological Processes 20(7), 1541–1565 (2006).

      [14] Kumar N., Agrawal A., Khan R.A. (2018) Smartphone with Solar Charging Mechanism to Issue Alert During Rainfall Disaster. In: Panda B., Sharma S., Roy N. (eds) Data Science and Analytics. REDSET 2017. Communications in Computer and Information Science, vol 799. Springer, Singapore.

      [15] Kumar Neeraj; R. A. KHAN, Alka Agrawal,. Emergency Information System Architecture for Disaster Management: Metro City Perspective. International Journal of Advanced Research in Computer Science, [S.l.], v. 8, n. 5, p. 560-564, june 2017. ISSN 0976-5697.

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  • How to Cite

    Kumar, N., Arora, G., Agrawal, A., & Ahmad Khan, R. (2018). TSD Algorithm to Design CA Based Expert System for Pipelining to Stop Urban Flood. International Journal of Engineering & Technology, 7(3.1), 56-62. https://doi.org/10.14419/ijet.v7i3.1.16798