000			a
999			_c19573 _d19573
003			OSt
005			20230628155000.0
008			230628b xxu||||| |||| 00| 0 eng d
040			_aAIKTC-KRRC _cAIKTC-KRRC
100			_921279 _aPachore, A. B.
245			_aMETEOROLOGICAL DROUGHT ANALYSIS USING COPULA FUNCTION FOR MARATHWADA REGION, MAHARASHTRA STATE, INDIA
250			_aVol, 41(2), Apr
260			_aRoorkee _bIndian Water Resources Society _c2021
300			_a20-27p
520			_aDrought is an extreme climatic event, which is recurring in nature. Drought occurs when the amount of precipitation is less than average precipitation for the region. Drought analysis is important due to its direct impact on water supply, agriculture and industry along with social and economic impact.Duration and severity are major characteristics of drought. In this study, the bivariate joint distribution of drought duration and severity is defined using bivariate copula function. 6-month Standardized Precipitation Index (SPI) is used to calculate drought duration and severity for average precipitation of the whole study area. The logistic and Birnbaum-saunders distributions are best fitted distribution for univariate frequency analysis of drought duration and severity. Student ‘t’, Galambos, Clayton, Gumbel, Frank, AMH copula functions are used to find joint multivariate distribution. AIC, RMSE and NSE values are used to select the best fit copula function. Considering AIC, RMSE, NSE values and the dependence structure i.e closeness of isolines, the Galambos copula is found to be the best fit for time series data. Drought analysis is carried out using joint probability distribution between drought duration and severity. Drought risk is estimated based on a joint return period which gives important information for water resource planning and management.
650		0	_94621 _aCivil Engineering
700			_921280 _aRegulwear, D. G.
773	0		_tJournal of indian water resource society _x0970-6984 _dRoorkee Indian Institute of Technology Roorkee
856			_uhttps://iwrs.org.in/journal/apr2021/4apr.pdf _yClick here
942			_2ddc _cAR