Time series analysis of Rainfall data and its Geo-environmental inferences on Girja Basin, Aurangabad District of Maharashtra, India

M.L. Dhumal¹ , K.R. Aher²

Section:Research Paper, Product Type: Isroset-Journal
Vol.6 , Issue.2 , pp.272-283, Apr-2019

CrossRef-DOI:   https://doi.org/10.26438/ijsrmss/v6i2.272283

Online published on Apr 30, 2019

Copyright © M.L. Dhumal, K.R. Aher . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
An attempt has been made to find the outcomes of rainfall data analysisof groundwater system of Girja Basin, Aurangabad district of Maharashtra, India, which is one of the most important hydrometerological parameter, and which also directs the recharge event. Data analysis of rainfall records for a period of 29 years (1990 to 2018) of Girja basin and geo-environmental inferences on groundwater system have been detailed and exhibited. Mathematical investigation of rainfall data displays a variation range from 341.35 to 1362.6 mm with annual average of 649.28. The 341.35 mm rainfall occurred during 2012 and 1362.6mm rainfall occurred in 2000. Departures and Cumulative departure from the average annual rainfall have been measured. Computed values of statistical parameters indicate a positive trend of rainfall. Estimation of Standard Precipitation Index (SPI) indicates that out of last 29 years, one was extremely wet (SPI 2.0+); two were very wet (SPI 1.5 to 1.99); one moderately wet (SPI 1.0 to 1.49); 22 near normal (SPI 0.99 to -0.99); three moderately dry (SPI -1.0 to -1.49) years, one severely dry (SPI -1.5 to -1.99); and two were extremely dry (SPI-2 and less), Estimations also indicates that post 1996, both severity and occurrence of drought events has increased. Prediction of predictable rainfall trend for 5 years has been envisaged. Geo-environmental inference of rainfall trends on the recharge of groundwater system erstwhile discussed. It is suggested that the climb of rainfall on the precedence beginning need to determine the on-hand water problem by adopting creating of various groundwater recharge structures in the study area.

Key-Words / Index Term :
Rainfall Data analysis, Standard Precipitation Index, Geo-environmental inferences, Phulambri area, Aurangabad District.

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