Reconnaissance of meteorological drought by using Standardized Precipitation Index and India Meteorological Department criteria for five districts of south Gujarat
DOI:
https://doi.org/10.53550/Keywords:
Drought, Excess and deficit rainfall, IMD classification, Standardized Precipitation Index (SPI)Abstract
Assessment of drought is one of the most important steps in risk management of drought. The standardized precipitation index (SPI) can be used for indicating the associated temporal and spatial variations of rainfall. The aim of this research is the assessment of the characteristics such as intensity, frequency and duration of meteorological drought using SPI with 12 months time scales in south Gujarat. On the basis of SPI more wet events were found in Valsad district, followed by Surat and Navsari. Similarly more dry events were observed in Navsari district followed by Bharuch and Dangs districts. SPI values of the high rainfall district showed slightly better stretching in both positive and negative directions, compared to that of the low rainfall district. The trend analysis shows increasing trend of SPI for Navsari district and decreasing trend of SPI for Dangs, Valsad, Surat and Bharuch districts. On the basis of IMD criteria, the frequency of occurrence of drought at Navsari and Bharuch districts is higher as compared to Dangs, Valsad and Surat districts. Similarly, the frequency of occurrence of excess rainfall at Dangs and Surat districts is higher as compared to Navsari, Valsad and Bharuch districts. Drought anomaly was found that frequency of mild drought occurrence was quite high and occurred at regular interval at all the locations.
References
Dracup, J.A., Lee, K.S. and Paulson Jr, E.G. 1980. On the Definition of Droughts. Water Resour. Res., 16(2): 297-302.
Du, J., Fang, J., Xu, W. and Shi, P. 2012. Analysis of dry/wet conditions using the standardized precipitation index and its potential usefulness for drought/flood monitoring in Human Province, China. Stochastic Environmental Research and Risk Assessment. 27(2): 377-387.
Edwards, D.C. and McKee, T.B., 1997. Characteristics of 20th century drought in the United States at multiple scales. Climatology Report 97-2, Department of Atmospheric Science, Colarado state University, Fort Collins.
Giddings, L., Soto, M., Rutherford, B.M. and Maarouf, A. 2005. Standardized precipitation index zones for Mexico. Atmosphera, 18: 33-56.
Goodrich, G.B. and Ellis, A.W. 2006. Climatological drought in Arizona - An analysis of indicators for guiding the Governor's drought task force. Profes. Geograp., 58: 460-469.
Gore, P.G. and Sinha Ray, K.C. 2002. Drought and aridity over districts of Gujarat. J. Agrometeo., 4: 75-85.
Guttman, N.B. 1998. Comparing the Palmer drought index and the standardized precipitation index. J. Am. Water Resour. Assoc., 34: 113-121.
IPCC. 1996. Climate change - The IPCC Second Assessment Report. Houghton, J.T., Meira Filho, L.G., Callander, B.A., Harris, N., Kattenberg, A., Maskell, K. (eds). Cambridge University Press, New York.
Kumar, N., Murthy, M., Sesha, C.S., Sai, M.V.R. and Roy, P.S. 2009. On the use of Standardized Precipitation Index (SPI) for drought intensity assessment. Meteorol. Appl., 16: 381-389.
Kumar, N., Pisal, R.R., Shukla, S.P. and Patel, S.S. 2015. Analysis of climatic variability at heavy rainfall zone of South Gujarat. Mausam, 66(4): 850-856.
Kumar, N. and Patel, J.G. 2012. Analysis of regional drought intensity and frequency over north Gujarat. J. Agrometeor., 14(1): 95-96.
Kumar, N., Patel, S.S., Chalodia, A.L., Vadaviya, O.U., Pandya, H.R, Pisal, R.R., Dakhore, K.K. and Patel, M.L. 2015a. Markov Chain and Incomplete Gamma distribution analysis of weekly rainfall over Navsari region of South Gujarat. Mausam. 66(4):751-760.
Krishna , R., Chandrakar, A., Nikam, B.R., Pingale, S.M. and Khare, D. 2017. Long term rainfall data analysis over Eastern Ganga canal command area. Indian J. Soil Cons., 45(3): 338-347.
Kumar, R., Majid, M., Mir, S. and Shahzad, M. 2017. Temporal analysis of drought using standard precipitation index (SPI) method. Indian J. Soil Cons., 45(3): 348-350.
McKee, T.B., Doesken, N.J. and Kleist, J. 1993. The relationship of drought frequency and duration to time scales. In: Proc. 8th conference on Applied Climatology. Am. Meteor. Soc. Boston, 179-184.
Pai, D.S., Sridhar, P., Guhata K. and Hatwar, H.R. 2010. District-wise drought climatology of the Southwest monsoon season over India based on SPI. NCC Research Report. No. 2/2010. Indian Meteorological Department, Pune, 24p.
Patel, N.R., Choprab, A.P. and Dadhwala, V.K. 2007. Analyzing spatial patterns of meteorological drought using standardized precipitation index. Meteorol. Appl., 14: 329-336.
Paulo, A.A., Ferreira, E., Coelho, C. and Pereira, L.S. 2005. Drought class transition analysis through Markov and Loglinear models, an approach to early warning. Agri. Water Manage., 77: 59-81.
Sadiq, N., Abbasi, A.A. and Qureshi, M.S. 2014. Drought analysis of Sindh using Standard precipitation index (SPI). Mausam, 63(3):433-440.
Smakhtin, V.U. and Hughes D.A. 2007. Automated estimation and analysis of meteorological drought characteristics from monthly data. Environ. Model. Soft., 22: 880-890.
Vicente-Serrano, S.M., Gonzalez-Hidalgo, J.C., de Luis, M. and Raventos, J. 2004. Drought patterns in the Mediterranean area the Valencia region (eastern Spain). Clim. Res., 26: 5-15.
Wilhite, D., Svoboda, M. and Hayes, M. 2005. Monitoring drought in the United States: status and trends. In: Monitoring and Predicting Agricultural Drought - A Global Study. Oxford University Press, New York, pp 121-131.
WMO. 2012. Standardized Precipitation Index-User Guide. World Meteorological Organization, WMO No. – 1090, 16 p.
Wu, H., Svoboda, M.D., Hayes, M.J., Wilhite, D.A. and Fujiang, W. 2006. Appropriate application of the standardized precipitation index in arid locations and dry seasons. Int. J. Climato., 27: 65-79.
