The standardized precipitation index (SPI) has been recognized as the standard index that should be used for quantifying and reporting meteorological drought. This study presents the implementation of the two-dimensional correlation method for determining the spatial and temporal variability of drought among the SPI series. The developed method was applied on 13 stations in Central Anatolia. The results show that the presented approach is capable of quantitatively assessing the differences in drought behaviour between stations. The paper also presents heatmaps as a new way of visualizing SPI series enabling detection of dry and wet periods.
The standardized precipitation index (SPI) has been recognized as the standard index that should be used for quantifying and reporting meteorological drought. This study presents the implementation of the two-dimensional correlation method for determining the spatial and temporal variability of drought among the SPI series. The developed method was applied on 13 stations in Central Anatolia. The results show that the presented approach is capable of quantitatively assessing the differences in drought behaviour between stations. The paper also presents heatmaps as a new way of visualizing SPI series enabling detection of dry and wet periods.
| Birincil Dil | en |
|---|---|
| Konular | İnşaat Mühendisliği |
| Bölüm | Makale |
| Yazarlar |
|
| Tarihler |
Başvuru Tarihi
: 30 Nisan 2019
|
| Bibtex | @araştırma makalesi { tekderg559195,
journal = {Teknik Dergi},
issn = {1300-3453},
address = {},
publisher = {TMMOB İnşaat Mühendisleri Odası},
year = {2021},
volume = {32},
pages = {0 - 0},
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) , 0-0 . DOI: 10.18400/tekderg.559195 |
| MLA | Dikbaş, F , Güner Bacanlı, Ü . "Detecting Drought Variability by using Two-Dimensional Correlation Analysis" . Teknik Dergi 32 (2021 ): 0-0 <https://dergipark.org.tr/tr/pub/tekderg/issue/52043/559195> |
| Chicago | Dikbaş, F , Güner Bacanlı, Ü . "Detecting Drought Variability by using Two-Dimensional Correlation Analysis". Teknik Dergi 32 (2021 ): 0-0 |
| 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 - 0 EP - 0 VL - 32 IS - 4 SN - 1300-3453- M3 - doi: 10.18400/tekderg.559195 UR - https://doi.org/10.18400/tekderg.559195 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): 0-0 . https://doi.org/10.18400/tekderg.559195 |
| AMA | Dikbaş F , Güner Bacanlı Ü . Detecting Drought Variability by using Two-Dimensional Correlation Analysis. Teknik Dergi. 2021; 32(4): 0-0. |
| Vancouver | Dikbaş F , Güner Bacanlı Ü . Detecting Drought Variability by using Two-Dimensional Correlation Analysis. Teknik Dergi. 2021; 32(4): 0-0. |
| IEEE | F. Dikbaş ve Ü. Güner Bacanlı , "Detecting Drought Variability by using Two-Dimensional Correlation Analysis", Teknik Dergi, c. 32, sayı. 4, ss. 0-0, Tem. 2021, doi:10.18400/tekderg.559195 |
