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

Persian Verion

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

video

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

sound

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

Persian Version

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

View:

631
Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Download:

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

Cites:

Information Journal Paper

Title

THE SURVEY OF REGIONAL CHANGES IN ANNUAL PRECIPITATION USING GEOSTATISTIC TECHNIQUES (CASE STUDY: ILAM PROVINCE)

Pages

  277-297

Abstract

 Selection of an optimal INTERPOLATION method for estimating the characteristics of the not-sampled points was the main aim of this study, due to the important role of data management. In this study, ORDINARY KIRIGING INTERPOLATION models including linear, exponential, spherical, Gaussian were used to estimate the mean annual rainfall of ILAM PROVINCE. For this purpose the normality of the data was checked using the Kolmogorov-Smirnov method and then the VARIOGRAM of each model was calculated and plotted. In continuation, the best spatially fitted VARIOGRAM between the data was used being compared to the other VARIOGRAMs. For this purpose, the relation between the piece effect and the roof of VARIOGRAM was used (Co+C). According to the parameters obtained from the fitted VARIOGRAMs, the Gaussian VARIOGRAM with the 0.33 best fitted the correlation between the data and was used for INTERPOLATION. In order to evaluate the efficiency of employed models, the root mean square error (RMSE) and the standard error of results were used. The results showed that the Gaussian VARIOGRAM having the lowest estimation error (6.12) and root mean square error (166) were the best model for the INTERPOLATION of the data in this investigation. Furthermore, comparison of RMSE with Standard Error (SE) for calculating the amount of expectations demonstrated that the four models gave overestimations.

Cites

  • No record.
  • References

  • No record.
  • Cite

    APA: Copy

    KARIMI, H., & FATHIZAD, H.. (2015). THE SURVEY OF REGIONAL CHANGES IN ANNUAL PRECIPITATION USING GEOSTATISTIC TECHNIQUES (CASE STUDY: ILAM PROVINCE). JOURNAL OF GEOGRAPHY AND PLANNING, 19(53), 277-297. SID. https://sid.ir/paper/203665/en

    Vancouver: Copy

    KARIMI H., FATHIZAD H.. THE SURVEY OF REGIONAL CHANGES IN ANNUAL PRECIPITATION USING GEOSTATISTIC TECHNIQUES (CASE STUDY: ILAM PROVINCE). JOURNAL OF GEOGRAPHY AND PLANNING[Internet]. 2015;19(53):277-297. Available from: https://sid.ir/paper/203665/en

    IEEE: Copy

    H. KARIMI, and H. FATHIZAD, “THE SURVEY OF REGIONAL CHANGES IN ANNUAL PRECIPITATION USING GEOSTATISTIC TECHNIQUES (CASE STUDY: ILAM PROVINCE),” JOURNAL OF GEOGRAPHY AND PLANNING, vol. 19, no. 53, pp. 277–297, 2015, [Online]. Available: https://sid.ir/paper/203665/en

    Related Journal Papers

    Related Seminar Papers

  • No record.
  • Related Plans

  • No record.
  • Recommended Workshops






    Move to top