Investigation of Temporal Distribution of Daily Rainfall Using the Normalized Rainfall Curves (NRC) (Case Study: Tabriz Station)

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.

Banan Ferdosi F.; DINPASHOH Y.

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

Journal Paper

Paper Information

Journal: WATER AND SOIL SCIENCE (AGRICULTURAL SCIENCE) Year:2019 | Volume:29 | Issue:2 Page(s): 1-14

Download Full-Text

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

Persian Verion

View:

429

Download:

Cites:

Information Journal Paper

Title

Investigation of Temporal Distribution of Daily Rainfall Using the Normalized Rainfall Curves (NRC) (Case Study: Tabriz Station)

Author(s)

Banan Ferdosi F. | DINPASHOH Y. | Issue Writer Certificate

Keywords

Daily rainfallQ1

Experimental modelQ2

Normalized rainfall curvesQ3

TabrizQ2

Temporal distributionQ1

Abstract

In this study, by use of the Daily rainfalls of Tabriz weather station the Normalized rainfall curves (NRC) were investigated. For this purpose, the cumulative amount of Daily rainfalls with the cumulative number of rainy days were considered and shown by k x and k y, respectively. Then, the NRCs were extracted according to the equations of exp( ) k k k x = ay by and exp[ (1 ) ] c k k k x = y − b − y. This approach was applied to all days and every months of the data recording time period, separately. The parameters of models were estimated using the solver option in Excel software by the optimization method. Moreover, some of the other mathematical models (including the n-th degree polynomial, power, modified power, exponential, continuous exponential, etc. ) were derived for k x and k y data by the Curve Expert 1. 3 software. Among the all extracted models, a model having the lowest RMSE and highest 2 R was introduced as the most appropriate one. The results showed that, approximately, in the all cases the RMSEmodel with the lowest exp[ (1 ) ] c k k k x = y − b − y value (0. 4858 mm) and the largest amount of 2 R (0. 9996) was known as the most appropriate model to derive the NRCs of Tabriz station. Furthermore, in monthly time scale the amount of RMSE varied from 0. 22 mm (in September) up to 0. 67 mm (in April). The 2 R values for these two months obtained as 0. 9999 and 0. 9993, respectively.

Cites

No record.

References

No record.

Cite

APA: Copy

Banan Ferdosi, F., & DINPASHOH, Y.. (2019). Investigation of Temporal Distribution of Daily Rainfall Using the Normalized Rainfall Curves (NRC) (Case Study: Tabriz Station). WATER AND SOIL SCIENCE (AGRICULTURAL SCIENCE), 29(2 ), 1-14. SID. https://sid.ir/paper/147771/en

Vancouver: Copy

Banan Ferdosi F., DINPASHOH Y.. Investigation of Temporal Distribution of Daily Rainfall Using the Normalized Rainfall Curves (NRC) (Case Study: Tabriz Station). WATER AND SOIL SCIENCE (AGRICULTURAL SCIENCE)[Internet]. 2019;29(2 ):1-14. Available from: https://sid.ir/paper/147771/en

IEEE: Copy

F. Banan Ferdosi, and Y. DINPASHOH, “Investigation of Temporal Distribution of Daily Rainfall Using the Normalized Rainfall Curves (NRC) (Case Study: Tabriz Station),” WATER AND SOIL SCIENCE (AGRICULTURAL SCIENCE), vol. 29, no. 2 , pp. 1–14, 2019, [Online]. Available: https://sid.ir/paper/147771/en

Related Journal Papers