Advertisement

Simulating the Irrigation Operations with Cellular Automata

  • Hiep Xuan HuynhEmail author
  • Nha Thanh Huynh
  • Toan Phung Huynh
  • Son Van Tran
  • Linh Thuy Thi Nguyen
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 266)

Abstract

In this paper, we propose a new simulation approach based on a cellular automata to predict the closing or opening of irrigation culvert. To solve this problem, water quality parameters such as salinity, temperature, pH, dissolved oxygen, etc. were measured at culverts. Then, opening or closing the culverts depending on the quality of the water there is considered. However, due to the large number of culverts, it is very time consuming to carry out manual measurements of all culverts. It is important to have a measure to help predict the water quality at culverts so as to reduce the amount of effort and time spent by farmers, meanwhile it helps farmers to feel secure to do the production (The simulations are based on data on water quality collected at culverts in subregion X - South Ca Mau, Ca Mau province, Vietnam).

Keywords

Water quality Irrigation culverts Simulation Cellular automata 

References

  1. 1.
    Averill, M.L., Kelton, D.W.: Simulation Modeling and Analysis. Mcgraw-Hill Inc, Singapore (1991)zbMATHGoogle Scholar
  2. 2.
    Bandini, S.: Guest editorial - cellular automata. Futur. Gener. Comput. Syst. 18, v–vi (2002)MathSciNetCrossRefGoogle Scholar
  3. 3.
    Burks, A.W.: Essays on Cellular Automata. University of Illinois Press, Urbana (1970)zbMATHGoogle Scholar
  4. 4.
    Cai, X., Li, Y., Guo, X., Wu, W.: Mathematical model for flood routing based on cellular automaton. Water Sci. Eng. 7(2), 133–142 (2014)Google Scholar
  5. 5.
    Chaudhuri, P.P., Chowdhury, D.R., Nandi, S., Chatterjee, S.: Additive Cellular Automata – Theory and Applications, vol. 1. IEEE Computer Society Press, CA (1997). ISBN 0-8186-7717-1Google Scholar
  6. 6.
    Gardner, M.: Mathematical games - the fantastic combinations of john conway’s new solitaire game ‘life’. Sci. Am. 223, 120–123 (1970)CrossRefGoogle Scholar
  7. 7.
    Goldberg, A., Robson, D.: Smalltalk-80: The Language and its Implementation. Addison-Wesley, Boston (1983). ISBN 0-201-11371-6zbMATHGoogle Scholar
  8. 8.
    Gordon, G.: System Simulation. Prentice Hall of India Private Limited, Delhi (1989)Google Scholar
  9. 9.
    Gregorio, S.D., Serra, R., Villani, M.: Applying cellular automata to complex environmental problems: The simulation of the bioremediation of contaminated soils. Theoret. Comput. Sci. 217, 131–156 (1999)MathSciNetCrossRefGoogle Scholar
  10. 10.
    Kari, J.: Theory of cellular automata: a survey. Theoret. Comput. Sci. 334, 3–33 (2005)MathSciNetCrossRefGoogle Scholar
  11. 11.
    Langton, C.G.: Self-reproduction in cellular automata. Physica D 10, 134–144 (1984)CrossRefGoogle Scholar
  12. 12.
    Mitchell, M., Hraber, P.T., Crutchfield, J.P.: Revisiting the edge of chaos: evolving cellular automata to perform computations. Complex Syst. 7, 89–130 (1993)zbMATHGoogle Scholar
  13. 13.
    Nguyen, C.H., Nguyen, P.T.A.: Modeling System and Simulation. Hanoi University of Science and Technology, Vietnam (2006)Google Scholar
  14. 14.
    Pottier, P., Lucas, P.Y.: Dynamic networks “Netgen: objectives, installation, use and programming”. Université de Bretagne Occidentale (2015). https://github.com/NetGenProject. Accessed 03 Oct 2018
  15. 15.
    Shiffman, D., Shannon, F., Zannah, M.,: Cellular automata. In: The nature of Code: Simulating Natural Systems with Processing, Chap. 7, pp. 323–354. Springer, Heidelberg (2012). ISBN-13: 9780985930806Google Scholar
  16. 16.
    Wolfram, S.: A New Kind of Science, 1280 pages. Wolfram Media, Champaign (2002)Google Scholar
  17. 17.
    Wolfram, S.: Cellular Automata and Complexity. World Scientific, Singapore (1994). ISBN 9971-50-124-4 pbkzbMATHGoogle Scholar
  18. 18.
    Wolfram, S.: Theory and Applications of Cellular Automata. World Scientific, Singapore (1986). ISBN 9971-50-124-4 pbkzbMATHGoogle Scholar
  19. 19.
    Yassemi, S., Dragícevíc, S., Schmidt, M.: Design and implementation of an integrated GIS-based cellular automata model to characterize forest fire behaviour. Ecol. Model. 210, 71–84 (2008)CrossRefGoogle Scholar
  20. 20.
    Yu, J., Chen, Y., Wu, J.P.: Cellular automata and GIS based land use suitability simulation for irrigated agriculture. In: 18th World IMACS/MODSIM Congress, Cairns, Australia, 13–17 July 2009Google Scholar
  21. 21.
    Yu, J., Chen, Y., Wu, J., Khane, S.: Cellular automata-based spatial multi-criteria land suitability simulation for irrigated agriculture. Int. J. Geogr. Inf. Sci. 25, 131–148 (2011)CrossRefGoogle Scholar

Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2019

Authors and Affiliations

  • Hiep Xuan Huynh
    • 1
    Email author
  • Nha Thanh Huynh
    • 2
  • Toan Phung Huynh
    • 1
  • Son Van Tran
    • 3
  • Linh Thuy Thi Nguyen
    • 1
  1. 1.Cantho UniversityCantho CityVietnam
  2. 2.TMA SolutionsHochiminh CityVietnam
  3. 3.Kiengiang Medical CollegeKiengiang ProvinceVietnam

Personalised recommendations