Rainfall warning Based on indexs teleconnection, Synoptic Patterns of Atmospheric Upper Levels and Climatic elements a case study of Karoun basin

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.

Salehvand Iran; GANDOMKAR AMIR; FATAHI EBRAHIM

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

Journal Paper

Paper Information

Journal: JOURNAL OF GEOGRAPHICAL SCIENCES Year:2021 | Volume:20 | Issue:59 Page(s): 81-97

Download Full-Text

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

Persian Verion

View:

385

Download:

Cites:

Information Journal Paper

Title

Rainfall warning Based on indexs teleconnection, Synoptic Patterns of Atmospheric Upper Levels and Climatic elements a case study of Karoun basin

Author(s)

Salehvand Iran | GANDOMKAR AMIR | FATAHI EBRAHIM | Issue Writer Certificate

Keywords

Factor analysisQ2

synoptic systemsQ2

climatic indicesQ1

climatic elementsQ2

perceptron neural networkQ2

Abstract

Rainfall prediction plays an important role in flood management and flood alert. With rainfall information, it is possible to predict the occurrence of floods in a given area and take the necessary measures. Due to the fact that the three months of January, February and March are most floods and most precipitation is occurring this quarter, this study aimed to investigate the factors affecting precipitation and modeling of this quarter. For precipitation modeling, the monthly rainfall data of the Hamadid and Baranzadeh station in the statistical period (1984-2014) for 30 years as a dependent variable and climatic indexes, large-scale climatic signals including sea surface temperatures and 1000 millimeter temperatures Altitude of 500 milligrams, 200 milligrams of omega and climatic elements have been used as independent variables. Due to the nonlinear behavior of rainfall, artificial neural networks were used for modeling. Factor analysis was used to determine the best architecture for entering the neural network. For prediction of precipitation, the data that showed the most relationship with precipitation was used in four patterns, in January the fourth pattern with entropy error was 045/0, the number of input layers was 91, the best makeup was 15-1, and the correlation coefficient was 94% Was. In February, the third pattern with a correlation coefficient of 97%, entropy error, was 0. 36. Percentage, number of input units was 8 units, and the best type of latency layout was 10-1. The precipitation of March with all patterns was high predictive coefficient. The first pattern with entropy error was 0. 038, the number of input units was 67, the hidden layer arrangement was 17-1, the correlation coefficient was 98%.

Cites

No record.

References

No record.

Cite

APA: Copy

Salehvand, Iran, GANDOMKAR, AMIR, & FATAHI, EBRAHIM. (2021). Rainfall warning Based on indexs teleconnection, Synoptic Patterns of Atmospheric Upper Levels and Climatic elements a case study of Karoun basin. JOURNAL OF GEOGRAPHICAL SCIENCES, 20(59 ), 81-97. SID. https://sid.ir/paper/377464/en

Vancouver: Copy

Salehvand Iran, GANDOMKAR AMIR, FATAHI EBRAHIM. Rainfall warning Based on indexs teleconnection, Synoptic Patterns of Atmospheric Upper Levels and Climatic elements a case study of Karoun basin. JOURNAL OF GEOGRAPHICAL SCIENCES[Internet]. 2021;20(59 ):81-97. Available from: https://sid.ir/paper/377464/en

IEEE: Copy

Iran Salehvand, AMIR GANDOMKAR, and EBRAHIM FATAHI, “Rainfall warning Based on indexs teleconnection, Synoptic Patterns of Atmospheric Upper Levels and Climatic elements a case study of Karoun basin,” JOURNAL OF GEOGRAPHICAL SCIENCES, vol. 20, no. 59 , pp. 81–97, 2021, [Online]. Available: https://sid.ir/paper/377464/en

Related Journal Papers