مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Verion

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

video

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

sound

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Version

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

View:

604
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Download:

0
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Cites:

Information Journal Paper

Title

GENERATING ARTIFICIAL WATER QUALITY DATA FOR NO-TREND PARAMETERS IN RESERVOIRS (CHAHNIMEH NO.1 IN SISTAN) (TECHNICAL NOTE)

Pages

  226-232

Abstract

 Detection and monitoring water resources is one of the principal steps in quality management of water resources. This is more critical in Sistan and Baluchestan province located in a hot and dry area with large deficiency in exploitable water resources. The aim of this study was to predict no-trend quality parameters in Chahnime No.1 using neural network and comparing it with MARKOV CHAIN method. In the present study some parameters such as DO, temperature, Phytoplankton, Zooplankton, Ammonia, and Phosphorus have been considered. The mean error percentages in neural network method for these parameters were 5.5, 7.7, 12.8, 5.6, 52.4, and 4.1, respectively. In comparison, the mean error percentages of MARKOV CHAIN scheme were respectively 11.2, 8.9, 5.3, 12.9, 33.9, and 8.4. The results showed that neural network method provided better results compared to MARKOV CHAIN method.

Cites

  • No record.
  • References

  • No record.
  • Cite

    APA: Copy

    PIRZADEH, B., AFSARI, M., HASHEMI MONFARED, S.A., & GHADERI, A.A.. (2017). GENERATING ARTIFICIAL WATER QUALITY DATA FOR NO-TREND PARAMETERS IN RESERVOIRS (CHAHNIMEH NO.1 IN SISTAN) (TECHNICAL NOTE). IRAN-WATER RESOURCES RESEARCH, 13(2 ), 226-232. SID. https://sid.ir/paper/99846/en

    Vancouver: Copy

    PIRZADEH B., AFSARI M., HASHEMI MONFARED S.A., GHADERI A.A.. GENERATING ARTIFICIAL WATER QUALITY DATA FOR NO-TREND PARAMETERS IN RESERVOIRS (CHAHNIMEH NO.1 IN SISTAN) (TECHNICAL NOTE). IRAN-WATER RESOURCES RESEARCH[Internet]. 2017;13(2 ):226-232. Available from: https://sid.ir/paper/99846/en

    IEEE: Copy

    B. PIRZADEH, M. AFSARI, S.A. HASHEMI MONFARED, and A.A. GHADERI, “GENERATING ARTIFICIAL WATER QUALITY DATA FOR NO-TREND PARAMETERS IN RESERVOIRS (CHAHNIMEH NO.1 IN SISTAN) (TECHNICAL NOTE),” IRAN-WATER RESOURCES RESEARCH, vol. 13, no. 2 , pp. 226–232, 2017, [Online]. Available: https://sid.ir/paper/99846/en

    Related Journal Papers

    Related Seminar Papers

  • No record.
  • Related Plans

  • No record.
  • Recommended Workshops






    Move to top
    telegram sharing button
    whatsapp sharing button
    linkedin sharing button
    twitter sharing button
    email sharing button
    email sharing button
    email sharing button
    sharethis sharing button