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Drought characterization: a probabilistic approach

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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.

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Authors and Affiliations

  1. Department of Civil Engineering, McMaster University, 1280 Main Street West, Hamilton, ON, Canada, L8S4L7

    A. K. Mishra

  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

    V. P. Singh

  3. Department of Civil Engineering, Indian Institute of Technology-Kharagpur, West Bengal, 721302, India

    V. R. Desai

Authors
  1. A. K. Mishra
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  2. V. P. Singh
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  3. V. R. Desai
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Correspondence to A. K. Mishra.

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Mishra, A.K., Singh, V.P. & Desai, V.R. Drought characterization: a probabilistic approach. Stoch Environ Res Risk Assess 23, 41–55 (2009). https://doi.org/10.1007/s00477-007-0194-2

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