dc.description.abstract |
Runoff is an important and valuable variable used in the planning of water
resources and design of hydraulic structures. A number of models have been developed
to calculate runoff from a rainfall event. The Soil Conservation Service Curve Number
(SCS-CN) methodology is one of the most widely accepted event-based methods and is
extensively used for estimation of surface runoff for a known precipitation event from
small ungauged agricultural watersheds. The model is satisfactorily established in
hydrologic engineering. The main cause for its wide applicability lies in the fact that it
is easy to use and it incorporates major runoff generation watershed characteristics: soil
type, land use, surface condition and AMC. The only parameter required for
methodology, the curve number CN is critical for exact runoff prediction.
According to the SCS-CN concept, the runoff quantity agricultural watershed
depends on the above four major watershed characteristics. The CN values resulting
from exhaustive investigations in the United States for all soil and land uses have been
investigated and reported in National Engineering Handbook Chapter-4 (NEH-4). Since
the initiation of SCS-CN method, only a few or no efforts appear to have been made to
justify curve number rationality to watersheds in other countries. The slope was
excluded in its original development and it is included as a factor in the recently
developed new models. Investigations were carried out on agricultural plot of size
(12.0mx3.0m) located Toda Kalyanpur, Uttarakhand, India to calculate the effect of
slope, soil type, AMC and land use on the runoff and runoff curve number in selected 3
grades of 8%, 12% and 16% with same hydrologic soil group (HSG) ‘A’. There were 9
plots of 3 land uses as maize, finger millet, and fallow lands for investigation.
As expected, the conclusion of land use on runoff curve number was such that
the fallow lands showed the largest runoff and the CN values. With the increase of
slope, the CN and runoff quantity increased and it was highest for 16% slope and fallow
land. The soil was the same for all experimental plots, i.e. HSG-A. The SCS-CN
parameter potential maximum retention (S) showed an inverse relation with the
measured AMC value |
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