![](/images/graphics-bg.png)
Runoff Potentiality of a Watershed through SCS and Functional Data Analysis Technique
Joint Authors
Shirazi, S. M.
Othman, Faridah
Adham, M. I.
Rahman, S.
Yusop, Z.
Ismail, Z.
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-07-24
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Runoff potentiality of a watershed was assessed based on identifying curve number (CN), soil conservation service (SCS), and functional data analysis (FDA) techniques.
Daily discrete rainfall data were collected from weather stations in the study area and analyzed through lowess method for smoothing curve.
As runoff data represents a periodic pattern in each watershed, Fourier series was introduced to fit the smooth curve of eight watersheds.
Seven terms of Fourier series were introduced for the watersheds 5 and 8, while 8 terms of Fourier series were used for the rest of the watersheds for the best fit of data.
Bootstrapping smooth curve analysis reveals that watersheds 1, 2, 3, 6, 7, and 8 are with monthly mean runoffs of 29, 24, 22, 23, 26, and 27 mm, respectively, and these watersheds would likely contribute to surface runoff in the study area.
The purpose of this study was to transform runoff data into a smooth curve for representing the surface runoff pattern and mean runoff of each watershed through statistical method.
This study provides information of runoff potentiality of each watershed and also provides input data for hydrological modeling.
American Psychological Association (APA)
Adham, M. I.& Shirazi, S. M.& Othman, Faridah& Rahman, S.& Yusop, Z.& Ismail, Z.. 2014. Runoff Potentiality of a Watershed through SCS and Functional Data Analysis Technique. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-15.
https://search.emarefa.net/detail/BIM-1049394
Modern Language Association (MLA)
Adham, M. I.…[et al.]. Runoff Potentiality of a Watershed through SCS and Functional Data Analysis Technique. The Scientific World Journal No. 2014 (2014), pp.1-15.
https://search.emarefa.net/detail/BIM-1049394
American Medical Association (AMA)
Adham, M. I.& Shirazi, S. M.& Othman, Faridah& Rahman, S.& Yusop, Z.& Ismail, Z.. Runoff Potentiality of a Watershed through SCS and Functional Data Analysis Technique. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-15.
https://search.emarefa.net/detail/BIM-1049394
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1049394