National Academy of Agricultural Sciences (NAAS)
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PRINT ISSN : 2319-7692
Online ISSN : 2319-7706 Issues : 12 per year Publisher : Excellent Publishers Email : editorijcmas@gmail.com / submit@ijcmas.com Editor-in-chief: Dr.M.Prakash Index Copernicus ICV 2018: 95.39 NAAS RATING 2020: 5.38 |
The study were attempted to develop prediction models for runoff using rainfall as single predictor. An outline for a complete synthetic rainfall-runoff database was developed to study catchment response to a variety of rainfall events. Dachigam-Telbal catchment was chosen as study site and records of rainfall amount and runoff were organized and analyzed. For runoff, regression analysis was done in different ways to develop model that can predict runoff by using rainfall as single variable as it is one hydrological parameter which is recorded in most parts of the country. Curve expert 2.0 was used to generate these models. The attempt to develop runoff prediction model with rainfall as single input variable, exhibited high promise for monthly analysis with higher value of coefficient of determination i.e. R2=0.95, and lower standard error of estimation i.e. S=0.36, under regression analysis.
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