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:

729
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Download:

336
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Cites:

Information Journal Paper

Title

ANALYSIS OF TEMPORAL AND PERIODIC CHANGES OF GROUNDWATER DEPTH AND NITRATE CONCENTRATION USING TIME SERIES MODELING (CASE STUDY: KABUDARAHANG PLAIN)

Pages

  285-294

Abstract

 In this study, ground water level fluctuations and NITRATE CONCENTRATIONs of KABUDARAHANG aquifer were investigated with application of TIME SERIES models for modeling of ground water quantity and quality parameters. For data regarding the status of groundwater level and NITRATE CONCENTRATION fluctuations in project area, TIME SERIES models were used to forecast the groundwater level and NITRATE CONCENTRATION. Residual error analysis, comparison of observed and calculated ground water levels and NITRATE CONCENTRATIONs performed and finally a prediction model for ground water conditions in KABUDARAHANG aquifer developed. Predicted values were calibrated by the Box-Jenkins, Holt Winters and extrapolation methods. A residual error analysis, based upon calculated and observed groundwater level and NITRATE CONCENTRATIONs performed as a model verification tool and finally the Box Jenkins models were evaluated through Portmanteau method and Akaike information criterion. The model verification results showed that the SARIMA model is the optimum algorithm to simulate seasonal input data variables. Model results showed that the groundwater level in this aquifer will endure a 5 meter decline in three upcoming years and indicated that the maximum NITRATE CONCENTRATION would reach 50 mg/l in Bahman and Shahrivar of 1390.

Cites

  • No record.
  • References

  • No record.
  • Cite

    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