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:

1,031
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

CLIMATIC REGIONALIZATION OF ZAYANDEHROOD BASIN, USING MULTIVARIATE STATISTICAL METHOD

Pages

  51-64

Abstract

 The climatic circumstances in a local play a significant role in human, animals, and plants distribution. Thus, without knowing the climate, any activity or planning in different fields economic, agriculture and industrial, is no possible. So CLIMATIC REGIONALIZATION or knowing different climatic regions is necessary for planning and territory sustainable development. the aim of the present recognize and study the most influential climatic elements affecting on the climate of ZAYANDEHROOD BASIN, and the spatial separation different climatic regions by using multivariate statistical methods. To do so, the mean annual data of 27 climatic elements from 12 synoptic stations in a 20 years period were used in the limit of ZAYANDEHROOD BASIN. Then the pointed data was changed in to a matrix 27×1658 by contribution of the capabilities of surfer’s software statistical land and with the help of Kriging INTERPOLATION with pixels 5×5 kilometer. In processing data has been used the new method on the base of statistical techniques principal components analysis and CLUSTER ANALYSIS by ward method. Analysis works of the principal components on the data correlated matrix showed that with 6 principal components, we can describe 98.6% of variance in data. Tree component (thermal, windy, dusty-windy, dusty) expresses the most variance (92%) data. the scores of the principal components was analyzed by “agglomerative hierarchical CLUSTER ANALYSIS”, in “ward” method that the ZAYANDEHROOD BASIN was divided to 5 regions.

Cites

  • No record.
  • References

    Cite

    APA: Copy

    MONTAZERI, M., & KARIMIPOUR, M.. (2012). CLIMATIC REGIONALIZATION OF ZAYANDEHROOD BASIN, USING MULTIVARIATE STATISTICAL METHOD. JOURNAL OF PHYSICAL GEOGRAPHY, 5(15), 51-64. SID. https://sid.ir/paper/184956/en

    Vancouver: Copy

    MONTAZERI M., KARIMIPOUR M.. CLIMATIC REGIONALIZATION OF ZAYANDEHROOD BASIN, USING MULTIVARIATE STATISTICAL METHOD. JOURNAL OF PHYSICAL GEOGRAPHY[Internet]. 2012;5(15):51-64. Available from: https://sid.ir/paper/184956/en

    IEEE: Copy

    M. MONTAZERI, and M. KARIMIPOUR, “CLIMATIC REGIONALIZATION OF ZAYANDEHROOD BASIN, USING MULTIVARIATE STATISTICAL METHOD,” JOURNAL OF PHYSICAL GEOGRAPHY, vol. 5, no. 15, pp. 51–64, 2012, [Online]. Available: https://sid.ir/paper/184956/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