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Stochastic simulation of droughts. Part 1: Point droughts
Published in
2008
Volume: 22
   
Issue: 6
Pages: 854 - 862
Abstract
The number of drought events derived from the historic streamflow or rainfall series will be limited and produce results that are not very reliable. This study proposes a drought simulation methodology that uses a long sequence of synthetically generated monthly streamflow/rainfall series, from which it is possible to drive a large sample of drought events and the prediction of drought characteristics will be reliable. The modified Herbst method has been used to identify droughts in the generated streamflow and rainfall series. The drought simulation procedure is illustrated with a case study of the Bhadra reservoir catchment in Karnataka State, India. Monthly droughts were derived from both historic and generated monthly streamflow and rainfall series. The important drought characteristics were determined and the suitable probability distribution for each parameter was arrived at after studying seven different probability models. The use of the probability curves thus derived has been illustrated with examples (referred to in Part 1 as 'point droughts'). Similarly, the development and application of stochastic models for the prediction of regional drought parameters have been illustrated with examples in the accompanying paper (Part 2: regional droughts). Copyright © 2007 John Wiley & Sons, Ltd.
About the journal
JournalHydrological Processes
ISSN08856087
Open AccessNo
Concepts (21)
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    Probability distributions
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    Rain
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    Stochastic models
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    Stream flow
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    DROUGHT SIMULATION
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    MODIFIED HERBST METHOD
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    Drought
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    Computer simulation
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    Numerical method
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    Numerical model
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    Prediction
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    Probability
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    Rainfall
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    Stochasticity
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    Streamflow
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    Asia
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    BHADRA RESERVOIR
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    Eurasia
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    India
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    Karnataka
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    South asia