SavedAdd your journal

Journals / Turkish Journal of Civil Engineering / 2021 / Cilt: 32 - Sayı: 4

Detecting Drought Variability by using Two-Dimensional Correlation Analysis

Fatih DİKBAŞ
Ülker GÜNER BACANLI
Pages
10947–10965
Publication Date
2021-07-01
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Significant variations in drought behaviour were found in the investigated region even for the stations close to each other.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The Standardized Precipitation Index (SPI) has been recognized as the standard index that should be used for quantifying and reporting meteorological drought.
📊
Key Findings & Data:The developed method was applied on 13 meteorological stations in Central Anatolia.
💡
Conclusion & Impact:Significant variations in drought behaviour were found in the investigated region even for the stations close to each other.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Drought variability · standardized precipitation index · two-dimensional correlation

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.

Özet

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.

🔖

Cite This Article

DİKBAŞ, F., BACANLI, Ü. G. (2021). Detecting Drought Variability by using Two-Dimensional Correlation Analysis. Turkish Journal of Civil Engineering, Cilt: 32 - Sayı: 4, 10947–10965. https://ajindex.com/articles/864162

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (16)

  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.
  9. Shafer, B.A., Dezman, L.E., Development of a Surface Water Supply Index (Swsi) to Assess the Severity of Drought Conditions in Snowpack Runoff Areas, in 50th Annual Western Snow Conference. 1982, Western Snow Conference: Reno, Nevada. Willeke, G., Hosking, J., Wallis, J., Guttman, N., The National Drought Atlas. Institute for water resources report, 94, 1994.
  10. Vicente-Serrano, S.M., Beguería, S., López-Moreno, J.I., A Multiscalar Drought Index Sensitive to Global Warming: The Standardized Precipitation Evapotranspiration Index. J. Clim., 23(7), 1696-1718, 2010.
  11. McKee, T.B., Doesken, N.J., Kleist, J., The Relationship of Drought Frequency and Duration to Time Scales, in 8th Conference on Applied Climatology. 1993:
  12. Anaheim, CA,. p. 179-184.
  13. Guttman, N.B., Accepting the Standardized Precipitation Index: A Calculation Algorithm. Journal of the American Water Resources Association, 35(2), 311-322, 1999.
  14. Hayes, M., Svoboda, M., Wall, N., Widhalm, M., The Lincoln Declaration on Drought Indices: Universal Meteorological Drought Index Recommended. Bulletin of the American Meteorological Society, 92(4), 485-488, 2011.
  15. Keyantash, J., Dracup, J.A., The Quantification of Drought: An Evaluation of Drought Indices. Bulletin of the American Meteorological Society, 83(8), 1167-1180, 2002.
  16. Morid, S., Smakhtin, V., Moghaddasi, M., Comparison of Seven Meteorological Indices for Drought Monitoring in Iran. Int. J. Climatol., 26(7), 971-985, 2006. Li