RAINFALL-RUNOFF-SEDIMENT MODELLING

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.

FAZLI S.; SADEGHI S.H.R.; KHALEDIDARVISHAN A.V.

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

Journal Paper

Paper Information

Journal: IRANIAN JOURNAL OF WATERSHED MANAGEMENT SCIENCE AND ENGINEERING Year:2010 | Volume:4 | Issue:11 Page(s): 41-44

Download Full-Text

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

Persian Verion

View:

1,250

Download:

Cites:

Information Journal Paper

Title

RAINFALL-RUNOFF-SEDIMENT MODELLING

Author(s)

FAZLI S. | SADEGHI S.H.R. | KHALEDIDARVISHAN A.V. | Issue Writer Certificate

Keywords

BIVARIATE REGRESSIONQ3

IRANQ2

KHAMESAN WATERSHEDQ3

RAINFALL-RUNOFF-SUSPENDED SEDIMENT MODELQ2

SEDIMENTGRAPH AND SUSPENDED SEDIMENTQ3

Abstract

The present study aimed to analyze the comprehensive relationships between suspended sediment yield, and rainfall and runoff characteristics on storm basis in Khamsan Representative Watershed with an area of 4193 ha in Kurdistan Province, IRAN. In due course, 9 storm events occurred during study period were analyzed 4 of which generated runoff and consequently yielded sediment. Different BIVARIATE REGRESSION models were then applied for estimating sediment yield. The results of the analysis verified better performance of linear regression developed based on maximum rainfall intensity with respective determination and efficiency coefficients, and estimation error of 0.843, 0.84 and 39%.

Cites

No record.

References

Cite

APA: Copy

FAZLI, S., SADEGHI, S.H.R., & KHALEDIDARVISHAN, A.V.. (2010). RAINFALL-RUNOFF-SEDIMENT MODELLING. IRANIAN JOURNAL OF WATERSHED MANAGEMENT SCIENCE AND ENGINEERING, 4(11), 41-44. SID. https://sid.ir/paper/134881/en

Vancouver: Copy

FAZLI S., SADEGHI S.H.R., KHALEDIDARVISHAN A.V.. RAINFALL-RUNOFF-SEDIMENT MODELLING. IRANIAN JOURNAL OF WATERSHED MANAGEMENT SCIENCE AND ENGINEERING[Internet]. 2010;4(11):41-44. Available from: https://sid.ir/paper/134881/en

IEEE: Copy

S. FAZLI, S.H.R. SADEGHI, and A.V. KHALEDIDARVISHAN, “RAINFALL-RUNOFF-SEDIMENT MODELLING,” IRANIAN JOURNAL OF WATERSHED MANAGEMENT SCIENCE AND ENGINEERING, vol. 4, no. 11, pp. 41–44, 2010, [Online]. Available: https://sid.ir/paper/134881/en

Related Journal Papers