Research Article

Detecting Drought Variability by using Two-Dimensional Correlation Analysis

Volume: 32 Number: 4 July 1, 2021
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Detecting Drought Variability by using Two-Dimensional Correlation Analysis

Abstract

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.

Keywords

References

  1. Hansen, J., Sato, M., Ruedy, R., Lacis, A., Oinas, V., Global Warming in the Twenty-First Century: An Alternative Scenario. Proc. Natl. Acad. Sci. U. S. A., 97(18), 9875-9880, 2000.
  2. Leconte, J., Forget, F., Charnay, B., Wordsworth, R., Pottier, A., Increased Insolation Threshold for Runaway Greenhouse Processes on Earth-Like Planets. Nature, 504(7479), 268-271, 2013.
  3. Popp, M., Schmidt, H., Marotzke, J., Transition to a Moist Greenhouse with Co2 and Solar Forcing. Nat Commun, 7, 2016.
  4. Mishra, A.K., Singh, V.P., A Review of Drought Concepts. Journal of Hydrology, 391(1), 202-216, 2010.
  5. Wilhite, D.A., Glantz, M.H., Understanding: The Drought Phenomenon: The Role of Definitions. Water International, 10(3), 111-120, 1985.
  6. Van Rooy, M.P., A Rainfall Anomaly Index Independent of Time and Space. Notos, 14, 43, 1965.
  7. Palmer, W.C., Keeping Track of Crop Moisture Conditions, Nationwide: The New Crop Moisture Index. Weatherwise, 21(4), 156-161, 1968.
  8. McKee, T.B.N., J. Doeskin, N., Kleist, J., Drought Monitoring with Multiple Time Scales. 1995.

Details

Primary Language

English

Subjects

Civil Engineering

Journal Section

Research Article

Publication Date

July 1, 2021

Submission Date

April 30, 2019

Acceptance Date

January 7, 2020

Published in Issue

Year 2021 Volume: 32 Number: 4

APA
Dikbaş, F., & Güner Bacanlı, Ü. (2021). Detecting Drought Variability by using Two-Dimensional Correlation Analysis. Teknik Dergi, 32(4), 10947-10965. https://doi.org/10.18400/tekderg.559195
AMA
1.Dikbaş F, Güner Bacanlı Ü. Detecting Drought Variability by using Two-Dimensional Correlation Analysis. Teknik Dergi. 2021;32(4):10947-10965. doi:10.18400/tekderg.559195
Chicago
Dikbaş, Fatih, and Ülker Güner Bacanlı. 2021. “Detecting Drought Variability by Using Two-Dimensional Correlation Analysis”. Teknik Dergi 32 (4): 10947-65. https://doi.org/10.18400/tekderg.559195.
EndNote
Dikbaş F, Güner Bacanlı Ü (July 1, 2021) Detecting Drought Variability by using Two-Dimensional Correlation Analysis. Teknik Dergi 32 4 10947–10965.
IEEE
[1]F. Dikbaş and Ü. Güner Bacanlı, “Detecting Drought Variability by using Two-Dimensional Correlation Analysis”, Teknik Dergi, vol. 32, no. 4, pp. 10947–10965, July 2021, doi: 10.18400/tekderg.559195.
ISNAD
Dikbaş, Fatih - Güner Bacanlı, Ülker. “Detecting Drought Variability by Using Two-Dimensional Correlation Analysis”. Teknik Dergi 32/4 (July 1, 2021): 10947-10965. https://doi.org/10.18400/tekderg.559195.
JAMA
1.Dikbaş F, Güner Bacanlı Ü. Detecting Drought Variability by using Two-Dimensional Correlation Analysis. Teknik Dergi. 2021;32:10947–10965.
MLA
Dikbaş, Fatih, and Ülker Güner Bacanlı. “Detecting Drought Variability by Using Two-Dimensional Correlation Analysis”. Teknik Dergi, vol. 32, no. 4, July 2021, pp. 10947-65, doi:10.18400/tekderg.559195.
Vancouver
1.Fatih Dikbaş, Ülker Güner Bacanlı. Detecting Drought Variability by using Two-Dimensional Correlation Analysis. Teknik Dergi. 2021 Jul. 1;32(4):10947-65. doi:10.18400/tekderg.559195

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