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.

References :
[1] Nicholson S E, “The spatial coherence of African rainfall anomalies: Interhemisphere telecommunications” J. Clim. Appl. Meteorol., Vol. 25, pp. 1365–1379, 1986.
[2] Kakade, S. B., & Kulkarni, A., “Seasonal prediction of summer monsoon rainfall over cluster regions of India”. Journal of Earth System Science, Vol.126, Issue 3, pp. 34, 2017.
[3] Swain, S., Verma, M., & Verma, M. K., “Statistical trend analysis of monthly rainfall for Raipur District, Chhattisgarh”, International Journal of Advanced Engineering Research and Studies, Vol, 4, Issue 2, pp. 87-89, 2015.
[4] Janhabi M. and Ramakar J., ”Time Series Analysis of Monthly Rainfall Data for the Mahanadi River Basin, India”, Sciences in Cold and Arid Regions,Vol. 5,Issue 1, pp.0073-0084, 2013.
[5] Afangideh, A. I., Francis E. O. and Eja E. I., ”A Preliminary Investigation into the Annual Rainfall Trend and Patterns for Selected Towns in Parts of South-Eastern Nigeria”, Journal of Sustainable Development, Vol. 3, No. 3, 2010.
[6] Emmanuel Sambo Uba and Bakari H R, “An Application of Time Series Analysis in Modeling Monthly Rainfall Data for Maiduguri, North Eastern Nigeria”, Mathematical Theory and Modeling,Vol. 5, Issue 11, pp. 24-33, 2015.
[7] Lokhande,D.C., Shinde, G.U., Karhale, M.B., and Shende, N.T.,“Study Of Talukawise Rainfall Pattern In Beed District Of Maharashtra Using Long Term Weather Data”, Bulletin of Environment, Pharmacology and Life Sciences, Bull. Env. Pharmacol. Life Sci., Vol. 6, Issue 3, pp. 34-39, 2017.
[8] Berryman, D., Bobée, B., Cluis, D., & Haemmerli, J., “Nonparametric tests for trend detection in water quality time series 1. Jawra” Journal of the American Water Resources Association, Vol. 24, Issue 3, pp. 545-556, 1988.
[9] Verma, S., & Dhiwar, B. K., “Statistical Analysis of Rainfall Event in Seonath River Basin Chhattisgarh”, International Journal of Advanced Engineering Research and Science, Vol.5, Issue 1,pp. 137-141, 2018.
[10] Dangi, K., Kulshreshtha, V., & Dev, P. (2018). “Variation trend analysis of rainfall hydrometerological parameter and environmental implications on sitamau watershed, Mandsaur District, Madhya Pradesh, India”. Bulletin of Pure & Applied Sciences-Geology, Vol. 37, Issue 2, pp. 186-200, 2018
[11] Rizwan, M., Kulshreshtha, V., & Dev, P., “Effects of Rainfall Factor on Hydrogeological System Recharge in Bangar Environs: A Middle Part of India”, Bulletin of Pure and Applied Sciences. Vol. 36 E (Geology), Vol. 36, Issue,1, pp. 27-43, 2017.
[12] Nagabhushaniah, H.S., “Groundwater in Hydrosphere”, C.B.S. Publishers and Distributors, New Delhi, pp.379, 2001.
[13] Kipkorir, E. C., “Analysis of rainfall climate on the Njemps Flats, Baringo District, Kenya”, Journal of Arid Environments, Vol.50, Issue 3, pp. 445–458, 2002.
[14] Herath, S and Ratnayake,U, “Monitoring rainfall trends to predict adverse impacts—a case study from Sri Lanka (1964–1993)”, Global Environmental Change, vol. 14, pp. 71–79, 2004.
[15] CGWB, “Report on Groundwater information of Aurangabad district, Maharashtra” pp.1-15, 2010.
[16] Aher K. R, “Geochemistry of Groundwater in Basaltic aquifer of Phulambri taluka, District Aurangabad’, India. Res. J. Chem. Sci, Vol .1, pp.1-124, 2014.
[17] Raes, D., “Frequency analysis of rainfall data. KU Leuven Inter-University Programme in Water Resources Engineering” (IUPWARE): Leuven, Belgium, pp, 42, 2004.
[18] Department of Agriculture, “Talukawise monthly rainfall data, Rainfall Recording and Analysis, Department of Agriculture Maharashtra State” http://maharain.gov.in/?MenuID=1075. Assessed on 19 March 2019, 2018.
[19] Indian Meteorological Department, “The basic rainfall data”, National Data Centre, IMD, Pune, 2018.
[20] Reddy, P.J. Rami, “A Textbook of Hydrology”, University Science Press, New Delhi, pp.504, 2013..
[21] GSDA, “Capacity building of GSDA’s hydrogeologists on Real time monitoring of hydrological phenomena, groundwater assessment and drought predictions in selected DPAP blocks of Marathwada and Vidarbha”, Groundwater Survey and development agency and Institute for Resource analysis and Policy, Hyderabad, Training manual, pp. 37-38, 2015.
[22] Gupta, S.C. and Kapoor, V. K., “Fundamentales of Matheatical Statistics”, pp.874, 1977.
[23] Jan, C. D., Chen, T. H., & Huang, H. M., “Analysis of rainfall-induced quick groundwater-level response by using a Kernel functions”. Paddy and Water Environment, Vol.1, Issue,1(1-4), pp. 135-144, 2013.
[24] Chow, V.T., Maidment, D.R., Mays, L.W., “Applied Hydrology”. McGraw-Hill, New York (International editions), 1988
[25] Jan, C. D., Chen, T. H., & Lo, W. C., “Effect of rainfall intensity and distribution on groundwater level fluctuations”. Journal of hydrology, Vol. 332 Issue (3-4), pp. 348-360, 2007.
[26] Todd, D. K., “ Groundwater Hydrology”. John Wiley and Sons, Inc., New York, pp,287, 1980.
[27] Alley, W.M., “Groundwater and climate. Ground Water” 39 (2), 161, 2001.
[28] Chen, Z., Grasby, S., Osadetz, K.G., “Relation between climate variability and groundwater levels in the upper carbonate aquifer, south Manitoba, Canada”, J. Hydrol. 290, pp. 43–62, 2004.
[29] Environment Canada, “Threats to water availability in Canada. National Water Research Institute, Burlington”, Ont. NWRI Scientific Assessment Report Series No. 3 and ACSD Scientific Assessment Series No.1, pp. 77–84, 2004.