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Information Journal Paper

Title

Regional Drought Assessment based on Principle Component Analysis and GIS in Golestan Province

Pages

  125-141

Abstract

 Undoubtedly, thorough understanding and realization of the phenomenon of drought and its geographical distribution pattern leads to better and more suitable management of the changes, and ultimately, reduces its adverse effects. Principle components analysis is an optimal mathematical method for reducing data volume and converts the initial variables into several constraints. In the present study, in order for drought zoning (dredging) in Golestan province, SPI1 is greatly used in research and enforcement affairs around the world to monitor droughts, mainly due to the availability of information required for the index and its calculation simplicity, and taking advantage of factor analysis. Hence, monthly rainfall data of 16 meteorological stations with appropriate distribution in the region was used during a 43-year period ranging from 1971 to 2014. The standard rainfall index was calculated for each of the selected stations in two scales (3 and 12 months, respectively). Analysis of the factors related to the SPI data for zoning the area in terms of drought was done using principal components analysis. The results of the analysis of the main components of this quarterly index (12 months) indicated that there are 6 (7) special factors larger than one, which in turn, justifies more than 58 (72)% of the total variance in general. In order to determine and evaluate the suitability of the data for factor analysis, the KMO and the Kerry-Bartlett methods were used. The results of these tests showed that factor analysis is suitable for identifying the model structure in the study area. Finally, the results indicated that after SPI rotation on a quarterly scale (12 months) with normalized Vario Max method and regarding the factor coefficients, Golestan province was divided into 6 (7) distinct regions. This can be used to make joint and timely management decisions in terms of drought and reduce its consequences through acquiring further knowledge about the distribution syntax of this phenomenon at the provincial level.

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  • Cite

    APA: Copy

    MOHAMMADREZAPOUR, OMOLBANI, AMIRI, MEYSAM, EBRAHIMI, MAHBOUBEH, & Amini Racan, Amin. (2019). Regional Drought Assessment based on Principle Component Analysis and GIS in Golestan Province. IRANIAN OF IRRIGATION & WATER ENGINEERING, 9(35 ), 125-141. SID. https://sid.ir/paper/247130/en

    Vancouver: Copy

    MOHAMMADREZAPOUR OMOLBANI, AMIRI MEYSAM, EBRAHIMI MAHBOUBEH, Amini Racan Amin. Regional Drought Assessment based on Principle Component Analysis and GIS in Golestan Province. IRANIAN OF IRRIGATION & WATER ENGINEERING[Internet]. 2019;9(35 ):125-141. Available from: https://sid.ir/paper/247130/en

    IEEE: Copy

    OMOLBANI MOHAMMADREZAPOUR, MEYSAM AMIRI, MAHBOUBEH EBRAHIMI, and Amin Amini Racan, “Regional Drought Assessment based on Principle Component Analysis and GIS in Golestan Province,” IRANIAN OF IRRIGATION & WATER ENGINEERING, vol. 9, no. 35 , pp. 125–141, 2019, [Online]. Available: https://sid.ir/paper/247130/en

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