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Water Resources

, Volume 46, Issue 1, pp 112–116 | Cite as

Prediction of Water Quality Index by Support Vector Machine: a Case Study in the Sefidrud Basin, Northern Iran

  • Forough Kamyab-Talesh
  • Seyed-Farhad Mousavi
  • Mohammadreza KhaledianEmail author
  • Ozra Yousefi-Falakdehi
  • Mojtaba Norouzi-Masir
WATER QUALITY AND PROTECTION: ENVIRONMENTAL ASPECTS
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Abstract

The objectives of this study were to predict the water quality index using Support Vector Machine (SVM) model and to identify the most important attributes affecting the variability of the water quality index in the Sefidrud basin which is located in the northern part of Iran. Water samples at each site have been collected monthly from December 2007 to November 2008. At each station, water samples were collected from inside the middle of the river by means of a plastic bucket and were transported to the laboratory. Water quality parameters were measured, calculated and classified according to the standard methods. Prediction of the SVM models in the study area resulted in determination coefficient and root mean square error of 0.87 and 0.061 for the water quality index, respectively. The nitrate was identified as the most important attribute influencing the water quality index. Overall, our results indicated that the SVM models could explain 87% of the total variability in water quality index. Besides, the predictability of water quality index could be improved by other statistical and intelligent models. These predictions help us to improve river management, regarding water quality.

Keywords:

support vector machine modeling water quality index sensitivity coefficient 

REFERENCES

  1. 1.
    Abril, J.M. and Abdel-Aal, M.M., A modeling study on hydrodynamics and pollutant dispersion in the Suez Canal, Ecol. Modell., 2000, vol. 128, pp. 1–17.CrossRefGoogle Scholar
  2. 2.
    Anagnostopoulos, P., Mpimpas, H., and Ganoulis, J., Numerical simulation of coastal pollution in the Thermaikos Gulf, in Computer Modeling of Seas and Coastal Regions III, Acinas, J.R. and Brebbia, C.A., Eds., Southampton: Computational Mechanics Publications, 1997, pp. 173–182.Google Scholar
  3. 3.
    APHA-standard methods for the examination of water and waste water, Washington, DC: APHA, AWWA, WPCF, 1985, 16th Ed.Google Scholar
  4. 4.
    Brown, R.M., Mcclellan, N.I., Deininger, R.A., and Tozer, R.G., A water quality index–do we dare?, Water Sewage Works, 1970, vol. 117, pp. 343–339.Google Scholar
  5. 5.
    Chang, N., Chen, H.W., and King, S.K., Identification of river water quality using the fuzzy synthetic evaluation approach, J. Environ. Manage., 2001, vol. 63, pp. 293–305.CrossRefGoogle Scholar
  6. 6.
    Consulting Engineers of Sefidrud Guilan, Update of water resources in the Atlantic basin Sefidrud, Talesh and Anzali Wetland, Volume III: Statistics and analysis of water, Rasht, Iran: Guilan Regional Water Corporation, 2006.Google Scholar
  7. 7.
    Cooley, R., Classification of News Stories Using Support Vector Machines, in IJCAI99 Workshop on Text Mining, Minnesota, 1999.Google Scholar
  8. 8.
    Dojlido, J.R., Raniszewski, J.R., and Woyciechow-ska, J., Water quality index applied to rivers in the Vistula River basin in Poland, Environ. Monit. Assess., 1994, vol. 33, pp. 33–42.CrossRefGoogle Scholar
  9. 9.
    Horton, R.K., An index number system for rating water quality, J. Water Pollut. Control Fed., 1965, vol. 37, pp. 300–305.Google Scholar
  10. 10.
    Icaga, Y., Fuzzy evaluation of water quality classification, Ecol. Indic., 2007, vol. 7, pp. 710–718.CrossRefGoogle Scholar
  11. 11.
    Kannel, P.R., Lee, S. Lee, Y.S., Kanel, S.R., and Khan, S.P., Application of water quality indices and dissolved oxygen as indicators of river water classification and urban impact assessment, Environ. Monit. Assess., 2007, vol. 132, no. 2, pp. 93–110.CrossRefGoogle Scholar
  12. 12.
    Liou, S.M., Lo, S.L., and Wang, S.H., A generalized water quality index for Taiwan, Environ. Monit. Assess., 2004, vol. 96, pp. 35–52.CrossRefGoogle Scholar
  13. 13.
    Manahan, S.E., Environmental Chemistry, Boca Raton: Lewis Publishers, 2000, 7th edition.Google Scholar
  14. 14.
    Miller, W.W., Joung, H.M., Mahannah, C.N., and Garrett, J.R., Identification of water quality differences in Nevada through index application, J. Environ. Qual., 1986, vol. 15, pp. 265–272.CrossRefGoogle Scholar
  15. 15.
    Nagel, J.W., Colley, D., and Smith, D.J., A water quality index for contact recreation in New Zealand, Water Sci. Technol., 2001, vol. 43, no. 5, pp. 285–292.CrossRefGoogle Scholar
  16. 16.
    Nasirian, M., A new water quality index for environmental contamination contributed by mineral processing: a case study of Amang (tin tailing) processing activity, J. Appl. Sci., 2007, vol. 7, no. 20, pp. 2977–2987.CrossRefGoogle Scholar
  17. 17.
    NSF-National Sanitation Foundation International. http://www.nsf.orgGoogle Scholar
  18. 18.
    Ocampo-Duque, W., Ferre-Huquet, N., Domingo, J.L., and Schuhmacher, M., Assessing water quality in rivers with fuzzy inference systems: a case study, Environ. Int., 2006, vol. 32, pp. 733–742.CrossRefGoogle Scholar
  19. 19.
    Park, K., Shen, J., and Kuo, A.Y., Application of a multi-step computation scheme to an intratidal estuarine water quality model, Ecol. Modell., 1998, vol. 110, pp. 281–292.CrossRefGoogle Scholar
  20. 20.
    Pesce, S.F. and Wunderlin, D.A., Use of water quality indices to verify the impact of Cordoba city (Argentina) on Suquia River, Water Res., 2000, vol. 34, no. 11, pp. 2915–2936.CrossRefGoogle Scholar
  21. 21.
    Sanchez, E., Colmenarejo, M.F., Vicente, J., Rubio, A., Garcia, M.G., Travieso, L., and Borja, R., Use of the water quality index and dissolved oxygen deficit as simple indicators of watersheds pollution, Ecol. Indic., 2007, vol. 7, pp. 315–328.CrossRefGoogle Scholar
  22. 22.
    Sargaonkar, A. and Deshpande, V., Development of an overall index of pollution for surface water based on general classification scheme in Indian context, Environ. Monit. Assess., 2003, vol. 89, pp. 43–67.CrossRefGoogle Scholar
  23. 23.
    Silvert, W., Fuzzy indices of environmental conditions, Ecol. Modell., 2000, vol. 130, pp. 111–119.CrossRefGoogle Scholar
  24. 24.
    Singh, R.P., Nath, S., Prasad, S.C., and Nema, A.K., Selection of suitable aggregation functions for estimation of aggregate pollution for river Ganges in India, J. Environ. Eng., 2008, vol. 134, no. 8, pp. 689–701.CrossRefGoogle Scholar
  25. 25.
    Smith, D.G., A better water quality indexing system for rivers and streams, Water Res., 1990, vol. 24, no. 10, pp. 1237–1244.CrossRefGoogle Scholar
  26. 26.
    Song, T. and Kim, K., Development of a water quality loading index based on water quality modeling, J. Environ. Manage., 2009, vol. 90, pp. 1534–1543.CrossRefGoogle Scholar
  27. 27.
    Soroush, F., Mousvi, S.F., and Gharechahi, A., An industrial water quality index: A case study of Zayandehrud River system, Iran. J. Sci. Technol., Trans. B: Eng., 2011, vol. 35, no. 1, pp. 131–136.Google Scholar
  28. 28.
    Stambuk-Giljanvoic, N., Water quality evaluation by index in Dalmatia, Water Res., 1999, vol. 33, no. 16, pp. 3423–3440.CrossRefGoogle Scholar
  29. 29.
    Stat Soft Inc., Electronic statistics textbook, Tulsa, OK, USA. http://www.statsoft.com/textbook/stathome.htmlGoogle Scholar
  30. 30.
    Steve, G., Support vector machines classification and regression, in ISIS Technical Report, Image, Speech & Intelligent Systems Group, Univ. Southampton, 1998.Google Scholar
  31. 31.
    Vapnik, V., The Nature of Statistical Learning Theory, N. Y.: Springer-Verlag, 2000.CrossRefGoogle Scholar
  32. 32.
    Water and Watershed Research Center, Comprehensive plan for flood control, Sefidrud River and rivers of east of Guilan basin, Geol. Rep., Vol. III, Guilan province, 1999.Google Scholar

Copyright information

© Pleiades Publishing, Ltd. 2019

Authors and Affiliations

  • Forough Kamyab-Talesh
    • 1
  • Seyed-Farhad Mousavi
    • 2
  • Mohammadreza Khaledian
    • 3
    Email author
  • Ozra Yousefi-Falakdehi
    • 4
  • Mojtaba Norouzi-Masir
    • 5
  1. 1.Water Engineering Department, Isfahan University of TechnologyIsfahanIran
  2. 2.Faculty of Civil Engineering, Semnan UniversitySemnanIran
  3. 3.Water Engineering Department, Faculty of Agricultural Sciences, University of Guilan, and Department of Water Engineering and Environment, Caspian Sea Basin Research CenterRashtIran
  4. 4.Guilan Regional Water CompanyRashtIran
  5. 5.Soil Science Department, Faculty of Agricultural Sciences, Shahid Chamran UniversityAhvazIran

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