Optimal Management of Surface Water Resources by WEAP: Considering Bayesian Approach under Climate Change Conditions

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

HAYATOLGHEIB MOGHADAM SEYEDE HADIS; ASHOFTEH PARISA SADAT

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Iranian Journal of Soil and Water Research Year:2019 | Volume:50 | Issue:2 Page(s): 495-504

Download Full-Text

Persian Verion

View:

441

Download:

Cites:

Information Journal Paper

Title

Optimal Management of Surface Water Resources by WEAP: Considering Bayesian Approach under Climate Change Conditions

Author(s)

HAYATOLGHEIB MOGHADAM SEYEDE HADIS | ASHOFTEH PARISA SADAT | Issue Writer Certificate

Keywords

Climate change scenarioQ1

Hybrid modelQ1

Bayesian approachQ1

Optimal water resources managementQ1

WEAP modelQ1

Abstract

In this research, the effect of climate change phenomenon on optimal management of water resources in Khorramabad basin was investigated. The developed Hybrid model based on the Bayesian approach was used for this purpose. So that initially the output of AOGCM models under the A2 emission scenario during the baseline period 1971-2000 and the future period 2040-2069 were downscaled and 100 examples of the downscaled monthly probability distribution function of the temperature and rainfall were produced based on the weighting method, using the Monte Carlo method and SIMLAB Software. The results indicated that the future long-term monthly average temperature would increase between 1. 93 to 3. 7 oC. The rainfall will increase in some months and decrease in another months. The rainfall variations in the basin under scenario A2 during the period 2040-2069 will be in the range of-17. 29 and 1036. 04 percent as compared to the baseline. Then, by introducing the future temperature and precipitation of the Hybrid model into the calibrated and verified IHACRES, the future runoff will be achieved. The results showed a decrease in future runoff rates relative to baseline values. This reduction would be 4. 33 % for the A2 scenario during the period 2040-2069. Finally, different scenarios were investigated by WEAP model and the amounts of water allocation at the baseline and climate change periods were compared. It was found that the seasons (such as summer) in which the water demand and consumption are increased, there would be an unmet demand (failure period) and this situation will be intensified in climate change condition. As the amount of annual unmet demand will be equal to 0. 17×106 m3 and for the A2-2040-2069 scenario, it will be increased by 87% and equal to 1. 33×106 m3 as compared to the baseline.

Cites

No record.

References

No record.

Cite

APA: Copy

HAYATOLGHEIB MOGHADAM, SEYEDE HADIS, & ASHOFTEH, PARISA SADAT. (2019). Optimal Management of Surface Water Resources by WEAP: Considering Bayesian Approach under Climate Change Conditions. IRANIAN JOURNAL OF SOIL AND WATER RESEARCH, 50(2 ), 495-504. SID. https://sid.ir/paper/225699/en

Vancouver: Copy

HAYATOLGHEIB MOGHADAM SEYEDE HADIS, ASHOFTEH PARISA SADAT. Optimal Management of Surface Water Resources by WEAP: Considering Bayesian Approach under Climate Change Conditions. IRANIAN JOURNAL OF SOIL AND WATER RESEARCH[Internet]. 2019;50(2 ):495-504. Available from: https://sid.ir/paper/225699/en

IEEE: Copy

SEYEDE HADIS HAYATOLGHEIB MOGHADAM, and PARISA SADAT ASHOFTEH, “Optimal Management of Surface Water Resources by WEAP: Considering Bayesian Approach under Climate Change Conditions,” IRANIAN JOURNAL OF SOIL AND WATER RESEARCH, vol. 50, no. 2 , pp. 495–504, 2019, [Online]. Available: https://sid.ir/paper/225699/en

Related Journal Papers