Probabilistic Prediction of Drought in Iran Using Homogenous and Nonhomogenous Markov Chains-Reference-Cited by-同舟云学术

Probabilistic Prediction of Drought in Iran Using Homogenous and Nonhomogenous Markov Chains

Published:2023-05 Issue:5 Volume:28 Page:
ISSN:1084-0699
Container-title:Journal of Hydrologic Engineering
language:en
Short-container-title:J. Hydrol. Eng.

Author:

Mahmoudi Peyman¹^ORCID,Rigi Allahbakhsh²

Affiliation:

1. Associate Professor, Dept. of Physical Geography, Faculty of Geography and Environmental Planning, Univ. of Sistan and Baluchestan, Zahedan 9816745639, Iran (corresponding author). ORCID: .

2. Master’s Student, Dept. of Physical Geography, Faculty of Geography and Environmental Planning, Univ. of Sistan and Baluchestan, Zahedan 9816745639, Iran.

Publisher

American Society of Civil Engineers (ASCE)

Subject

General Environmental Science,Water Science and Technology,Civil and Structural Engineering,Environmental Chemistry

Link

https://ascelibrary.org/doi/pdf/10.1061/JHYEFF.HEENG-5653

Reference82 articles.

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2. Evaluation of drought, wet and predicting climate changes Birjand Region;Alijani B.;J. Geogr. Res. Q.,2005

3. Review the structure for continuity of the two states annual precipitation in south part of Iran, by using latent state of Markov chain;Alijani B.;Geor. Dev. Iran. J.,2012

4. Investigation of the persistence of frost days in Iran using chain Markov model;Alijani B.;Phys. Geogr. Res. Q.,2010

5. Study of annual maximum and minimum temperatures changes in Iran;Alijani B.;Geogr. Res.,2012

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