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Drought characterization: a probabilistic approach
Authors:A K Mishra  V P Singh  V R Desai
Institution:(1) Department of Civil Engineering, McMaster University, 1280 Main Street West, Hamilton, ON, Canada, L8S4L7;(2) Caroline and William N. Lehrer Distinguished Chair in Water Engineering, Department of Biological and Agricultural Engineering, Texas A and M University, Scoates Hall, 2117 TAMU, College Station, TX 77843-2117, USA;(3) Department of Civil Engineering, Indian Institute of Technology-Kharagpur, West Bengal, 721302, India
Abstract:Using the alternative renewable process and run theory, this study investigates the distribution of drought interval time, mean drought interarrival time, joint probability density function and transition probabilities of drought events in the Kansabati River basin in India. The standardized precipitation index series is employed in the investigation. The time interval of SPI is found to have a significant effect of the probabilistic characteristics of drought.
Keywords:Alternative renewal process  Droughts  Probability models  Markov chains  SPI  JPDF  Kansabati River basin
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