International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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National Academy of Agricultural Sciences (NAAS)
NAAS Score: *5.38 (2020)
[Effective from January 1, 2020]
For more details click here

ICV 2019: 96.39
Index Copernicus ICI Journals Master List 2019 - IJCMAS--ICV 2019: 96.39
For more details click here

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PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
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Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2018.7(5): 2613-2618

Dinesh Kumar Vishwakarma, et al
Dinesh Kumar Vishwakarma1*, Rohitashw Kumar2, Kusum Pandey3, Vikash Singh4 and Kuldeep Singh Kushwaha5
1,2College of Agricultural Engineering and Technology, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Shalimar Campus Srinagar –
Jammu and Kashmir, India
3Department of Soil and Water Conservation Engineering, Punjab Agricultural University, Ludhiana, Punjab 141004, India
4Department of Farm Engineering, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi 221005
5Centre of Water Engineering and Management, Central University of
Jharkhand – 835205, India
*Corresponding author

Various quantitative analyses are required for complex and dynamic nature of water resources systems to manage it properly. Groundwater table fluctuations over time in shallow aquifer systems need to be evaluated for formulating or designing an appropriate groundwater development scheme. This paper demonstrates a methodology for modeling rainfall- runoff and groundwater table fluctuations observed in a shallow unconfined aquifer Gonda District Utter Pradesh. The rainfall recharge contributed to its annual increment in the ground in water reserve which in turn is reflected in the rise of water table during the post monsoon period. The linear regression model between water table and annual rainfall was derived by Karl parson’s method. The coefficient of correlation between rainfall and ground water table was found -0.70. The value of statistical errors of R2, ME, RMSE and EC were found to be 0.438, 0.213365 and -0.92173respectively. The fitted models, values of fluctuation determination R2 was found to be significant close to observed value. It has been found that fluctuation was more as compare the availability. A good correlation was found between seasonal rainfall and change in ground water level. The increment in ground water reserve, correlation between climatic parameter and ground water level showed positive and negative relationship. Highest correlation was found in rainfall and ground water level. The developed equation may be adopted for reasonable estimate of ground water table depth at piezo metric stations based on depth for the effective planning and management of ground water resources of the basin.

Keywords: Precipitation, Ground water recharge, Ground water table fluctuation, Karl Pearson’s correlation
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How to cite this article:

Dinesh Kumar Vishwakarma, Rohitashw Kumar, Kusum Pandey, Vikash Singh and Kuldeep Singh Kushwaha. 2018. Modeling of Rainfall and Ground Water Fluctuation of Gonda District Uttar Pradesh, India.Int.J.Curr.Microbiol.App.Sci. 7(5): 2613-2618. doi: