Temporal analysis of drought using standard precipitation index (SPI) method
DOI:
https://doi.org/10.53550/Keywords:
Crop, Drought, Precipitation, SPIAbstract
Drought monitoring is crucially important for agriculture and freshwater planning and management. Over the years several indices have been proposed to detect and monitor droughts each with its own strengths and weaknesses. The most widely accepted index is standardized precipitation index (SPI) which is based on probability concept. In the present study the SPI is used to detect drought events on temporal basis of Jagdalpur area of Bastar district of Chattisgarh, India. Monthly precipitation data from 1970 to 2005 for Jagdalpur were used to compute SPI values. The computation of SPI series was done for short, intermediate as well as for long time scales. Temporal SPI results show that the years 1972, 1974, 1979, 1981, 1982, 1998 and 1999 were found to be moderately drought affected years in the period of 30 years for Jagdalpur region. Severe drought occurred in the years 1987, 1996 and 2002. 12-month SPI calculation indicates that years 1997 and 2003 experienced extreme droughts.
References
Amin, I., Kumar, R., Jhajharia, D. and Sherring, A. 2015. Estimation and validation of runoff and sediment model for Dachigam watershed of Kashmir valley. Ind. J. Soil Cons., 43(1): 255-259.
Aswathy, C., Haridas, N. Geetha, P. and Anandaraj, S. 2014. Drought monitoring and assessment for Karur district in Tamil Nadu using th remote sensing and GIS techniques. 15 Esri India User Conference.
Bonaccorso, B., Bordi, I. Cancelelliere, A., Rossi, G. and Suterac, A. 2003. Spatial variability of drought: an analysis of the SPI in Sicily. Water Resour. Manage., 17(4): 273-296.
Jain, S.K., Keshri, R., Goswami, A. and Sarkar, A. 2010. Application of meteorological and vegetation indices for evaluation of drought impact: a case study for Rajasthan, India. Natural Hazards, 54(3): 643-656. DOI: 10.1007/s11069-009-9493-x.
Khan, M.A. and Gadiwala, M.S. 2013. A Study of Drought over Sindh (Pakistan) Using Standardized Precipitation Index (SPI) 1951 to 2010. Pak. J. Meteor., 9(18): 55-65.
Kumar, A., Pal, R. and Sharma, H.C. 2007. Probability analysis of mansoon rainfall date for agricultural planning. Ind. J. Soil Cons., 35(2) : 122-124.
Kumar, R., Jhajharia, D., Ram, D., Chander, S., Kumar, M. and Shukla, R.M. 2012. Rainwater harvesting in North-Western Himalayan region- A case study. J. Soil Water Cons., 11(4): 323-328.
McKee, T.B., Doesken, N.J. and Kleist, J. 1995. Drought Monitoring with th Multiple Time Scales. Proc. of the 9 Conference on Applied Climatology. American Meteorological Society, pp. 233-236.
McKee, T.B., Doesken, N.J. and Kleist, J. 1993. The Relationship of Drought th Frequency and Duration to Time Scales. Proc. of the 8 Conference on Applied Climatology. American Meteorological Society, pp. 179-184.
Mohanty, S., Sultan, T., Panda, D.K. and Kumar, A. 2015. Meteorological Drought Analysis based on Rainfall Data of Coastal Odisha. Climate Change Modelling, Planning and Policy for Agriculture, pp. 31-38. DOI:
Panigrahi, B., Panda, S.N. and Mull, R. 2002. Prediction of hydrological events for planning rainfed rice. Hydrol. Sci. J., 47(3): 435-448.
Panigrahi, B., Panda, S.N. and Mal, B.C. 2007. Rainwater conservation and recycling by optimal size on-farm reservoir. Resour. Conserv. Recy., 50(4): 459-474.
Shri, K., Meshram, S. and Sahu, K.C. 2014. Analysis of rainfall data for drought investigation at Agra, U.P. Rec. Res. Sci. Tech., 6(1): 62-64.
Singh, V. and Isaac, R.K. 2012. Drought Analysis of Southern Part of Chhattisgarh Agro-Climatic Plain Zone: A Case Study of Bilaspur District. J. Pure Appl. Sci. Tech., 2(1): 75-83.
