Monitoring of Surface Water Resources Availability in the Atrak River Using the Modified SWSI Index and Markov Chain Model Case study: Atrak basin

Drought is a complex natural phenomenon, which is due to the  precipitation shortage and is one of the climatic challenging phenomena which has great and extensive impacts on human societies,  environment and the world economy. During the recent years, various indices have been developed to detect a...

Full description

Bibliographic Details
Main Authors: Mehdi Teimoori, Ali Fathzadeh
Format: Article
Language:fas
Published: University of Sistan and Baluchestan 2014-03-01
Series:جغرافیا و توسعه
Subjects:
Online Access:https://gdij.usb.ac.ir/article_1435_74acb250128d29c72d9497f8ed3f102c.pdf
_version_ 1797805041638178816
author Mehdi Teimoori
Ali Fathzadeh
author_facet Mehdi Teimoori
Ali Fathzadeh
author_sort Mehdi Teimoori
collection DOAJ
description Drought is a complex natural phenomenon, which is due to the  precipitation shortage and is one of the climatic challenging phenomena which has great and extensive impacts on human societies,  environment and the world economy. During the recent years, various indices have been developed to detect and monitor drought. In the present paper, is to evaluate the drought phenomenon in Atrak River by using  modified SWSI index.   Also, a first-order Markov chain model was used to simulate modified SWSI indexes, based on the estimated transitional probabilities and frequency distributions of river’s flow in the relevant stations. The results of this paper indicated that transition probability from a  specified status to the same one  is more probable than transition to other status (between 60 - 80 percent) and each of the  stations, probably most of the time  are at balanced status. On  the other hand, although some stations are more durable in drought conditions, but at the same rate, they spend in a very wet conditions for a short time, that more than before, reveals the importance of programming in operation parts.
first_indexed 2024-03-13T05:46:04Z
format Article
id doaj.art-b64b39be39e545ceb6d380d019771209
institution Directory Open Access Journal
issn 1735-0735
2676-7791
language fas
last_indexed 2024-03-13T05:46:04Z
publishDate 2014-03-01
publisher University of Sistan and Baluchestan
record_format Article
series جغرافیا و توسعه
spelling doaj.art-b64b39be39e545ceb6d380d0197712092023-06-13T20:17:19ZfasUniversity of Sistan and Baluchestanجغرافیا و توسعه1735-07352676-77912014-03-0112349910810.22111/gdij.2014.14351435Monitoring of Surface Water Resources Availability in the Atrak River Using the Modified SWSI Index and Markov Chain Model Case study: Atrak basinMehdi TeimooriAli FathzadehDrought is a complex natural phenomenon, which is due to the  precipitation shortage and is one of the climatic challenging phenomena which has great and extensive impacts on human societies,  environment and the world economy. During the recent years, various indices have been developed to detect and monitor drought. In the present paper, is to evaluate the drought phenomenon in Atrak River by using  modified SWSI index.   Also, a first-order Markov chain model was used to simulate modified SWSI indexes, based on the estimated transitional probabilities and frequency distributions of river’s flow in the relevant stations. The results of this paper indicated that transition probability from a  specified status to the same one  is more probable than transition to other status (between 60 - 80 percent) and each of the  stations, probably most of the time  are at balanced status. On  the other hand, although some stations are more durable in drought conditions, but at the same rate, they spend in a very wet conditions for a short time, that more than before, reveals the importance of programming in operation parts.https://gdij.usb.ac.ir/article_1435_74acb250128d29c72d9497f8ed3f102c.pdfhydrological droughtmarkov chain-based modelmodified swsi indexatrak river
spellingShingle Mehdi Teimoori
Ali Fathzadeh
Monitoring of Surface Water Resources Availability in the Atrak River Using the Modified SWSI Index and Markov Chain Model Case study: Atrak basin
جغرافیا و توسعه
hydrological drought
markov chain-based model
modified swsi index
atrak river
title Monitoring of Surface Water Resources Availability in the Atrak River Using the Modified SWSI Index and Markov Chain Model Case study: Atrak basin
title_full Monitoring of Surface Water Resources Availability in the Atrak River Using the Modified SWSI Index and Markov Chain Model Case study: Atrak basin
title_fullStr Monitoring of Surface Water Resources Availability in the Atrak River Using the Modified SWSI Index and Markov Chain Model Case study: Atrak basin
title_full_unstemmed Monitoring of Surface Water Resources Availability in the Atrak River Using the Modified SWSI Index and Markov Chain Model Case study: Atrak basin
title_short Monitoring of Surface Water Resources Availability in the Atrak River Using the Modified SWSI Index and Markov Chain Model Case study: Atrak basin
title_sort monitoring of surface water resources availability in the atrak river using the modified swsi index and markov chain model case study atrak basin
topic hydrological drought
markov chain-based model
modified swsi index
atrak river
url https://gdij.usb.ac.ir/article_1435_74acb250128d29c72d9497f8ed3f102c.pdf
work_keys_str_mv AT mehditeimoori monitoringofsurfacewaterresourcesavailabilityintheatrakriverusingthemodifiedswsiindexandmarkovchainmodelcasestudyatrakbasin
AT alifathzadeh monitoringofsurfacewaterresourcesavailabilityintheatrakriverusingthemodifiedswsiindexandmarkovchainmodelcasestudyatrakbasin