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 climatic parameters such as Rainfall, mean daily temperature, Wind Speed, relative humidity are spatial and changing with time space and position. That directly affects the availability of basic resources such as surface runoff, vegetation, soil health and quality needed for betterment of sustainability of human being. The predicting the surface runoff is complex and uncertain. It depended of these climatic parameters. Hence, their behaviour needed to be understood before putting in the hydrologic model. In present study the trend of the climatic parameter were estimated by non-parametric Mann Kendal test, seasonality tested with Dickey Fuller stationary test and Stationarity with KPSS test. The validity of inputs parameter to adopt was tested with cross correlation of the input data sets. The data such as Rainfall, Mean daily temperature, Surface runoff and daily evaporation considered of 12 stations nearby the Savitri Basin for duration of 1992 to 2011 (20 years). It is revealed that, the rainfall and surface runoff is with stationary without any trends whereas temperature and evaporation showed non stationary with increasing trends for duration of 1992 to 2011 for Savitri Basin. The ACF and PACF gives with seasonal differencing (120 days) observed sinusoidal wave patter with changing season’s effect on the ACF and PACF coefficient. The maximum cross correlation between rainfall and runoff of Savitri basin were exists at less lag i.e at one day, whereas it goes continuously deceasing with increase in the lag day up to 7 days. It is implies that, It is necessary to check the consistency of data sets used for hydrologic model before putting in the models.
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