Monitoring and prediction of drought by Markov chain model based on SPI and new index in Isfahan
by Saeid Eslamian; Mahsa Jahadi
International Journal of Hydrology Science and Technology (IJHST), Vol. 9, No. 4, 2019

Abstract: Drought evaluation and associated prediction are essential for water resource management. Most of previous studies analysed and predicted drought pattern in Isfahan based on the standardised precipitation index (SPI). Due to the high evapotranspiration in Isfahan, the SPI index, which is based on precipitation alone may not be sufficient to monitor and estimate drought pattern. So, it is vital to analyse and predict drought phenomenon at this region based on the new index (standardised precipitation-evaporation index - SPEI) that considers potential evapotranspiration in addition to the precipitation. Hence drought analysis is performed based on SPI and SPEI in Isfahan. The results indicate that there is some difference between two indices. Finally, SPEI and the Markov chain model are applied to predict the drought patterns in a 30 years period in the long-term future. It is predicted that the percentage of aridity state will increase comparison with the past decade.

Online publication date: Tue, 24-Sep-2019

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Hydrology Science and Technology (IJHST):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com