Drought characterization: a probabilistic approach Academic Article

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. Springer-Verlag 2007.

authors

• Singh, Vijay

published proceedings

• STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

author list (cited authors)

• Mishra, A. K., Singh, V. P., & Desai, V. R.

citation count

• 165

publication date

• January 2009

publisher

• Springer Nature  Publisher

keywords

• Alternative Renewal Process
• Droughts
• Jpdf
• Kansabati River Basin
• Markov Chains
• Probability Models
• Spi

Digital Object Identifier (DOI)

• 10.1007/s00477-007-0194-2

start page

• 41

end page

• 55

volume

• 23

issue

• 1

URL

• http%3A%2F%2Fdx.doi.org%2F10.1007%2Fs00477-007-0194-2

user-defined tag

• 13 Climate Action
• 7 Affordable and Clean Energy