An Evaluation of Image Processing Technique in Estimating Manning’ s Roughness Coefficient within the Surface Layer of Riverbeds

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.

HASSANNEZHAD SHARIFI FARZAM; SAMADI AMIR; AZIZIAN ASGHAR

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:2017 | Volume:47 | Issue:4 Page(s): 711-722

Download Full-Text

Persian Verion

View:

885

Download:

Cites:

Information Journal Paper

Title

An Evaluation of Image Processing Technique in Estimating Manning’ s Roughness Coefficient within the Surface Layer of Riverbeds

Author(s)

HASSANNEZHAD SHARIFI FARZAM | SAMADI AMIR | AZIZIAN ASGHAR | Issue Writer Certificate

Keywords

Surface particlesQ1

Image processingQ1

Manning’s roughness coefficientQ2

Cowan’s methodQ1

Hec-RasQ2

Abstract

Considering the importance of a reasonable estimation of roughness coefficient in river engineering studies as well as especially in the case of flood zoning investigations as well as a determination of riverbed extents, an evaluation of Image processing technique in estimating Manning’ s roughness coefficient within the surface layer of riverbeds was carried out throughout the present study. The mentioned approach of evaluation was conducted through a simultaneous implementation of sieving analysis and digital Image processing methods, within a 7. 5km reach of Shalmanrood River, Guilan. The processing of captured images signifies that this technique possesses an excellent accuracy in estimating the size of sediment particles (particles of a size of d50 or larger) and can be employed to estimate Manning’ s roughness coefficient of sediment particles of riverbed, utilizing the given empirical formulas. To evaluate the Image processing results in estimating Manning’ s coefficient values, one-dimensional modeling by Hec-Ras Hydraulic model was used and the model conducted through different scenarios. Finally, on given cross sections, the comparison of output hydraulic properties with respect to Cowan’ method results showed that Bray’ s empirical formula (d90) will present the best efficiency in estimating the Manning’ s roughness coefficients within the surface of the riverbed. Hence, it is concluded that it is possible to improve results’ accuracy using Image processing technique in estimation of roughness coefficient in river engineering studies.

Cites

No record.

References

No record.

Cite

APA: Copy

HASSANNEZHAD SHARIFI, FARZAM, SAMADI, AMIR, & AZIZIAN, ASGHAR. (2017). An Evaluation of Image Processing Technique in Estimating Manning’ s Roughness Coefficient within the Surface Layer of Riverbeds. IRANIAN JOURNAL OF SOIL AND WATER RESEARCH, 47(4 ), 711-722. SID. https://sid.ir/paper/225891/en

Vancouver: Copy

HASSANNEZHAD SHARIFI FARZAM, SAMADI AMIR, AZIZIAN ASGHAR. An Evaluation of Image Processing Technique in Estimating Manning’ s Roughness Coefficient within the Surface Layer of Riverbeds. IRANIAN JOURNAL OF SOIL AND WATER RESEARCH[Internet]. 2017;47(4 ):711-722. Available from: https://sid.ir/paper/225891/en

IEEE: Copy

FARZAM HASSANNEZHAD SHARIFI, AMIR SAMADI, and ASGHAR AZIZIAN, “An Evaluation of Image Processing Technique in Estimating Manning’ s Roughness Coefficient within the Surface Layer of Riverbeds,” IRANIAN JOURNAL OF SOIL AND WATER RESEARCH, vol. 47, no. 4 , pp. 711–722, 2017, [Online]. Available: https://sid.ir/paper/225891/en

Related Journal Papers