Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/2883
Title: Use of Meteorological Data for Identification of Drought
Authors: Kiran, Karinki Ravi
Sahoo, Sanat Nalini
Keywords: Meteorological drought
Standardized precipitation index (SPI)
Probability distribution function (gamma distribution)
Issue Date: Dec-2017
Citation: 22nd International Conference on Hydraulics,Water Resources and Coastal Engineering(HYDRO), Ahmedabad, Gujarat,India, 21-23 December 2017
Abstract: Drought has been called a creeping disaster because of the way it develops slowly. It can be defined according to meteorological, hydrological and agriculture criteria. In the present study, meteorological data i.e., monthly rainfall data from different rain gauges stations were used for identification of drought. Standardized Precipitation Index (SPI) values were generated based on Gamma distribution of precipitation data for 32 years (from 1985 to 2016) for Ananthpur district of Andhra Pradesh in India. Comparison of SPI, with actual rainfall and rainfall deviation from the mean indicated that SPI values underestimate the intensity of dryness/wetness when the rainfall is very low/very high respectively. This shows that the range of SPI values of the high rainfall district indicated better stretching, compared to that of the low rainfall district. SPI indicated deviation from normal probability in the lower and upper ranges. Therefore, it is suggested that SPI as a stand-alone indicator needs to be interpreted with caution to assess the intensity of drought.
Description: Copyright of this document belongs to proceedings publisher
URI: http://hdl.handle.net/2080/2883
Appears in Collections:Conference Papers

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