IJEP 43(4): 356-367 : Vol. 43 Issue. 4 (April 2023)
1. Koneru Lakshmaiah Education Foundation, Department of Civil Engineering, Guntur, Andhra Pradesh – 522 502, India
2. Koneru Lakshmaiah Education Foundation, Centre for Atmospheric Science, Guntur, Andhra Pradesh – 522 502, India
Abstract
In the present study, statistical analysis of rainfall data was done for different mandals of Krishna district, Andhra Pradesh to understand the spatio-temporal variability over the region. Daily observed rainfall events (1989-2018) and future downscaled climate scenarios (2019-2048) RCP 4.5 and 8.5 were considered to calculate mean, standard deviation, coefficient of variation and slope on an annual and seasonal basis. The number of mean rainy days and their trend was calculated for annual and southwest monsoon. Rainfall anomalies were computed to identify excess and deficit rainfall years and the highest maximum daily rainfall for the study area. Also, rainfall composite anomaly was calculated for annual rainfall to understand spatial and temporal variability of rainfall using spatial interpolation technique (inverse distance weight). It was observed that the upper portion of the district shows a higher amount of excess rainfall as compared to the lower portion for annual rainfall and southwest monsoon. For the north-western and southeastern portions of the district, minimum deficit rainfall was observed for southwest monsoon as compared to annual rainfall.
Keywords
Spatial, Temporal, Anomalies, Rainfall, Statistical
References
- Costa, J. A. and G. P. Rodrigues. 2017. Space-time distribution of rainfall anomaly index (RAI) for the Salgado basin, Ceará State, Brazil. Ciência Natura. 39(3): 627-634.
- Lavery, B., A. Kariko and N. Nicholls. 1992. A historical rainfall data set for Australia. Australian Meteorol. Magazine. 40(1): 33-39.
- Gajbhiye, S., et al. 2016. Precipitation trend analysis of Sindh river basin, India, from 102 year record (1901-2002). Atmos. Sci. Letters. 17(1): 71-77.
- Harshavardhan, P. L., P.C. Nayak and S. Kumar. 2020. Spatio-temporal rainfall variability and trend analysis for Krishna river basin in India. Indian J. Ecol., 47(11): 54-59.
- Pal, I. and A. Al-Tabbaa. 2009. Trends in seasonal precipitation extremes-An indicator of ‘climate change’ in Kerala, India. J. Hydrol., 367(1-2):62-69.
- Rodrigo, F. S., J.J. Gómez-Navarro and J.P. Gómez. 2012. Climate variability in Andalusia (southern Spain) during the period 1701-1850 based on documentary sources: evaluation and comparison with climate model simulations. Climate Past. 8(1).
- Roy, S.S. and R.C. Balling Jr. 2004. Trends in extreme daily precipitation indices in India. Int. J. Climatol. J. Royal Meteorol. Soc., 24(4):457-466.
- Griffiths, G. A. 1990. Rainfall deficits: distribution of monthly runs. J. Hydrol., 115(1-4): 219-229.
- Hirsch, R. M., J. R. Slack and R.A. Smith. 1982. Techniques of trend analysis for monthly water quality data. Water resour. res., 18(1): 107-121.
- Subash, N. and A.K. Sikka. 2014. Trend analysis of rainfall and temperature and its relationship over India. Theoretical appl. climatol., 117(3-4):449-462.
- Verma, M. K., M.K. Verma and S. Swain. 2016. Statistical analysis of precipitation over Seonath river basin, Chhattisgarh, India. Int. J. Appl. Eng. Res., 11(4): 2417-2423.
- Zhang, G. P. 2003. Time series forecasting using a hybrid ARIMA and neural network model. Neurocomputing. 50:159-175.
- Jain, S.K. and V. Kumar. 2012. Trend analysis of rainfall and temperature data for India. Curr. Sci., 37-49.
- Levy, B. S. and R.H. McCuen. 2000. Skew-dependent detection of change of central tendency in hydrologic data. J. Hydrol. Eng., 5(1): 43-51.
- Kumar, M.R., et al. 2019. Variability and time series trend analysis of rainfall over Krishna district of Andhra Pradesh: A case study. Int. J. Recent Tech. Eng., 7(6C2):720-726.
- Parry, M., et al. 2007. Climate change 2007- Impacts, adaptation and vulnerability. Working group II contribution to the fourth assessment report of the IPCC. Cambridge University Press.
- Gadgil, A. 1986. Annual and weekly analysis of rainfall and temperature for Pune: a multiple time series approach. Institute Indian Geogr., 8(1):4-20.
- McBean, E. and H. Motiee. 2008. Assessment of impact of climate change on water resources: a long-term analysis of the Great lakes of North America. Hydrol. Earth System Sci., 12(1):239-255.
- Sujatha, M., T. Satyanarayana and S.S. Asadi. 2019. Spatial distribution analysis on groundwater quality of Sarada river basin, Visakhapatnam, A.P., India. International Conference on Advances in civil engineering. Proceedings, 7(6C2):747-751.
- Wu, J., et al. 2018. Spatio-temporal trend analysis of precipitation in Guizhou province based on GIS technology. IOP Conference Series: Earth Env. Sci., 21(2):052033.
- Goswami, B.N., et al. 2006. Increasing trend of extreme rain events over India in a warming environment. env. Sci., 314(5804):1442-1445.
- Sivajothi, R. and K. Karthikeyan. 2017. Spatial and temporal variation of precipitation trends in Andhra Pradesh, India. IOP Conference Series: Mater. Sci. Eng., 263(4): 042146.
- Kumar, M.R., et al. 2019. Variability and time series trend analysis of rainfall over Krishna district of Andhra Pradesh: A case study. Int. J. Recent Tech. Eng., 7(6C2):720-726.
