Spatial Distribution of Drought Return Periods for the Mun Basin Using a Bivariate Copula Method
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Abstract
Droughts are major natural disasters with significant impacts on environment, economic and society. In the assessment of the drought, the important parameters are drought severity and drought duration which are rarely taken into consideration together. This study aimed to assess the bivariate droughts in the Mun basin, to identify drought severity and duration, and to analyze the bivariate probability distribution for these two drought characteristics from Clayton copula method. The results of univariate and bivariate analyses of return period showed that the bivariate return period for each characteristic was smaller than that of the relying univariate return period. The return period of spatial distribution of extreme drought in the Mun basin was between 1.8–2.9 years. This showed that there was high probability of extreme drought occurring in the Mum basin with high frequency and fairly uniform distribution.
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References
[2] WMO, Guide to Hydrological Practices, WMO-No. 168, 6th ed., Switzerland: World Meteorological Organization, 2009, pp. 302.
[3] A. K. Mishra and V. P. Singh, “Drought modeling–A review,” Journal of Hydrology, vol. 403, no. 1–2, pp. 157–175, 2011.
[4] J. Almedeij, “Drought analysis for kuwait using standardized precipitation index,” The Scientific World Journal, pp. 1–9, 2014.
[5] J. T. Shiau, S. Feng, and S. Nadarajah, “Assessment of hydrological droughts for the Yellow River China, using copulas,” Hydrological Processes, vol. 21, no. 16, pp. 2157–2163, 2007.
[6] E. M. R. S. B. Ekanayake and K. Perera, “Analysis of drought severity and duration using copulas in anuradhapura, Sri Lanka.” British Journal of Environment & Climate Change, vol. 4, no. 3, pp. 312–327, 2014.
[7] M. Naresh Kumar, C. S. Murthy, M.V.R. Sesha Sai, and P. S. Roy, “On the use of Standardized Precipitation Index (SPI) for drought intensity assessment,” Meteorological Applications, vol. 16, no. 3, pp. 381–389, 2009.
[8] J. T. Shiau, “Fitting drought duration and severity with two-dimensional copulas,” Water Resources Management, vol. 20, no. 5, pp. 798–815, 2006.
[9] F. Yusof, F. Hui-Mean, J. Suhaila, and Z. Yusof, “Characterisation of drought properties with bivariate copula analysis,” Water Resources Management, vol. 27, no. 12, pp. 4183–4207, 2013.
[10] D. Rajsekhar, V. P. Singh, and A. Mishra, “Hydrological drought atlas for the state of texas,” Journal of Hydrologic Engineering, vol. 20, no. 7, 2014.
[11] X. Liu, S. Wang, Y. Zhou, F. Wang, G. Yang, and W. Liu, “Spatial analysis of meteorological drought return periods in china using copula,” Natural Hazards, vol. 80, no. 1, pp. 367–388, 2016.
[12] T. B. McKee, N. J. Doelsken, and J. Kleist, “The relationship of drought frequency and duration to time scales,” in Proceedings of Eighth Conference on Applied Climatology, 1993, pp. 179–184.
[13] M. Karabulut, “Drought analysis in Antakya - Kahramanmaras graben, Turkey,” Journal of Arid Land, vol. 7, no. 6, pp. 741–754, 2015.
[14] R. Mirabbasi, A. Fakheri-Fard, and Y. Dinpashoh, “Bivariate drought frequency analysis using the copula method,” Theoretical and Applied Climatology, vol. 108, no. 1–2, pp. 191–206, 2011.