Pachore, A. B. <br/><br/>
METEOROLOGICAL DROUGHT ANALYSIS USING COPULA FUNCTION FOR MARATHWADA REGION, MAHARASHTRA STATE, INDIA 

 - Vol, 41(2), Apr 
 - Roorkee  Indian Water Resources Society  2021 
 - 20-27p 
<br/><br/> Drought is an extreme climatic event, which is recurring in nature. Drought occurs when the amount of precipitation is less than average<br/>precipitation for the region. Drought analysis is important due to its direct impact on water supply, agriculture and industry along with<br/>social and economic impact.Duration and severity are major characteristics of drought. In this study, the bivariate joint distribution of<br/>drought duration and severity is defined using bivariate copula function. 6-month Standardized Precipitation Index (SPI) is used to calculate<br/>drought duration and severity for average precipitation of the whole study area. The logistic and Birnbaum-saunders distributions are best<br/>fitted distribution for univariate frequency analysis of drought duration and severity. Student ‘t’, Galambos, Clayton, Gumbel, Frank, AMH<br/>copula functions are used to find joint multivariate distribution. AIC, RMSE and NSE values are used to select the best fit copula function.<br/>Considering AIC, RMSE, NSE values and the dependence structure i.e closeness of isolines, the Galambos copula is found to be the best fit<br/>for time series data. Drought analysis is carried out using joint probability distribution between drought duration and severity. Drought risk<br/>is estimated based on a joint return period which gives important information for water resource planning and management. 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Civil Engineering