Detecting Drought Variability by using Two-Dimensional Correlation Analysis

The Standardized Precipitation Index (SPI) has been recognized as the standard index that should be used for quantifying and reporting meteorological drought. This study aims to present the application of the two-dimensional correlation method for determining the spatial and temporal variability of drought among the SPI series. Heatmaps were used as a new way of visualizing SPI series which enables visual inspection of dry and wet periods. The developed method was applied on 13 meteorological stations in Central Anatolia. Significant variations in drought behaviour were found in the investigated region even for the stations close to each other.

Detecting Drought Variability by using Two-Dimensional Correlation Analysis

The Standardized Precipitation Index (SPI) has been recognized as the standard index that should be used for quantifying and reporting meteorological drought. This study aims to present the application of the two-dimensional correlation method for determining the spatial and temporal variability of drought among the SPI series. Heatmaps were used as a new way of visualizing SPI series which enables visual inspection of dry and wet periods. The developed method was applied on 13 meteorological stations in Central Anatolia. Significant variations in drought behaviour were found in the investigated region even for the stations close to each other.

Kaynakça

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Kaynak Göster

Bibtex @araştırma makalesi { tekderg559195, journal = {Teknik Dergi}, issn = {1300-3453}, address = {}, publisher = {TMMOB İnşaat Mühendisleri Odası}, year = {2021}, volume = {32}, pages = {10947 - 10965}, doi = {10.18400/tekderg.559195}, title = {Detecting Drought Variability by using Two-Dimensional Correlation Analysis}, key = {cite}, author = {Dikbaş, Fatih and Güner Bacanlı, Ülker} }
APA Dikbaş, F , Güner Bacanlı, Ü . (2021). Detecting Drought Variability by using Two-Dimensional Correlation Analysis . Teknik Dergi , 32 (4) , 10947-10965 . DOI: 10.18400/tekderg.559195
MLA Dikbaş, F , Güner Bacanlı, Ü . "Detecting Drought Variability by using Two-Dimensional Correlation Analysis" . Teknik Dergi 32 (2021 ): 10947-10965 <
Chicago Dikbaş, F , Güner Bacanlı, Ü . "Detecting Drought Variability by using Two-Dimensional Correlation Analysis". Teknik Dergi 32 (2021 ): 10947-10965
RIS TY - JOUR T1 - Detecting Drought Variability by using Two-Dimensional Correlation Analysis AU - Fatih Dikbaş , Ülker Güner Bacanlı Y1 - 2021 PY - 2021 N1 - doi: 10.18400/tekderg.559195 DO - 10.18400/tekderg.559195 T2 - Teknik Dergi JF - Journal JO - JOR SP - 10947 EP - 10965 VL - 32 IS - 4 SN - 1300-3453- M3 - doi: 10.18400/tekderg.559195 UR - Y2 - 2020 ER -
EndNote %0 Teknik Dergi Detecting Drought Variability by using Two-Dimensional Correlation Analysis %A Fatih Dikbaş , Ülker Güner Bacanlı %T Detecting Drought Variability by using Two-Dimensional Correlation Analysis %D 2021 %J Teknik Dergi %P 1300-3453- %V 32 %N 4 %R doi: 10.18400/tekderg.559195 %U 10.18400/tekderg.559195
ISNAD Dikbaş, Fatih , Güner Bacanlı, Ülker . "Detecting Drought Variability by using Two-Dimensional Correlation Analysis". Teknik Dergi 32 / 4 (Temmuz 2021): 10947-10965 .
AMA Dikbaş F , Güner Bacanlı Ü . Detecting Drought Variability by using Two-Dimensional Correlation Analysis. Teknik Dergi. 2021; 32(4): 10947-10965.
Vancouver Dikbaş F , Güner Bacanlı Ü . Detecting Drought Variability by using Two-Dimensional Correlation Analysis. Teknik Dergi. 2021; 32(4): 10947-10965.
IEEE F. Dikbaş ve Ü. Güner Bacanlı , "Detecting Drought Variability by using Two-Dimensional Correlation Analysis", Teknik Dergi, c. 32, sayı. 4, ss. 10947-10965, Tem. 2021, doi:10.18400/tekderg.559195