Annual Lespedezas are Useful in Conservation‐Type Rotations for the Southern Piedmont

Hendrickson, B. H.

doi:10.2134/agronj1944.00021962003600100011x

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“…Increasing rate of urbanization and its adverse effect causes more surface runoff and deterioration of water resources [ 5 – 9 ]. Similarly, agricultural practices and land use patterns have changed over time due to economic benefits [ 10 – 12 ], and these changes are also contributing to runoff [ 13 ]. For example, in a hilly or high slope landscape, due to greater runoff velocity, infiltration rate will be reduced, and, thus, it will generate higher runoff volume.…”

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Runoff Potentiality of a Watershed through SCS and Functional Data Analysis Technique

Adham

Shirazi

Othman

et al. 2014

The Scientific World Journal

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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.

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