Assessment of Drought Trend and Variability in India using Wavelet Transform

Published in Hydrological Sciences Journal, 2019

Recommended citation: Sharma, A., & Goyal, M. K. (2020). Assessment of drought trend and variability in India using wavelet transform. Hydrological Sciences Journal, 1-16. https://onlinelibrary.wiley.com/doi/abs/10.1111/gcb.13874

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Abstract: This paper presents an analysis of trends in six drought variables at 566 stations across India over the period 1901–2002. Six drought variables were computed using standardized precipitation index (SPI). The Mann-Kendall (MK) trend test and Sen’s slope estimator were used for trend analysis of drought variables. Discrete wavelet transform (DWT) was used to identify the dominant periodic components in trends, whereas the significance of periodic components was examined using continuous wavelet transform (CWT) based global wavelet spectrum (GWS). Our results show an increasing trend in droughts in eastern, northeastern and extreme southern regions, and a decreasing trend in the northern and southern regions of the country. The periodic component influencing the trend was 2–4 years in south, 4–8 years in west, east and northeast, 8–64 years in central parts and 32–128 years in the north; however, most of the periodic components were not statistically significant.

Recommended citation: Sharma, A., & Goyal, M. K. (2020). Assessment of drought trend and variability in India using wavelet transform. Hydrological Sciences Journal, 1-16.