## Abstract In Part 1 we demonstrated the applicability of stochastic models to predicting the characteristics of point drought events within any planning period by means of a case study (Mohan S, Sahoo PK (2007) __Hydrological Processes__ **21**: this issue). In addition, studies on regional droug
Stochastic simulation of droughts. Part 1: point droughts
β Scribed by S. Mohan; P. K. Sahoo
- Publisher
- John Wiley and Sons
- Year
- 2008
- Tongue
- English
- Weight
- 395 KB
- Volume
- 22
- Category
- Article
- ISSN
- 0885-6087
- DOI
- 10.1002/hyp.6654
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β¦ Synopsis
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 βpoint droughtsβ). 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 Β© 2007 John Wiley & Sons, Ltd.
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