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Drought intensity and frequency analysis using SPI for Tamil Nadu, India


Affiliations
1 Agro Climate Research Centre, Tamil Nadu Agricultural University, Coimbatore 641 003, India
 

To assess the drought hazard for different agro-climatic zones of Tamil Nadu (TN), India, the present study deals with temporal trend and spatial pattern of drought over the period 1981–2019. Standardized Pre­cipitation Index (SPI) has been used to detail the geographical variations of drought intensity, duration and frequency at multiple time steps. The spatial rainfall variability of the Southwest monsoon (SWM) ranged from 69.3 mm (Tuticorin) to 772.8 mm (the Nilgiris), and that for the Northeast monsoon (NEM) ranged from 277.8 mm (Krishnagiri) to 825.9 mm (Nagapattinam), while annual rainfall variability ranged from 558.8 mm (Tuticorin) to 1466.8 mm (the Nilgiris) for TN. Irrespective of all the regions, the frequency of moderate drought occurrence was higher compared to other drought nomenclature. The NEM season recorded on par and higher number of drought occurrences with respect to SWM season. Out of 39 years, TN experienced severely dry to extremely dry climate during 2002. The result underlines the potential of SPI in drought identification and also revealed that the rainfall is strongly linked to drought policies and measures imple­mented for the state.

Keywords

Northeast monsoon, rainfall, southwest monsoon, spatial variability, standardized precipitation index
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  • IPCC, Working Group, I Contribution to the IPCC Fifth Assessment Report on Climate Change 2013: The Physical Science Basis – Summary for Policymakers, Intergovernmental Panel on Climate Change, Stockholm, 2013.
  • Lesk, C., Rowhani, P. and Ramankutty, N., Influence of extreme weather disasters on global crop production. Nature, 2016, 529, 84–87.
  • NRC, Adapting to the Impacts of Climate Change: America’s Climate Choices, National Academies Press, Washington, DC, USA, 2010.
  • Agha Kouchak, A., Feldman, D., Hoerling, M., Huxman, T. and Lund, J., Recognize anthropogenic drought. Nature, 2015, 524, 409–411.
  • Dai, A., Increasing drought under global warming in observations and models. Nature Climate Change, 2013, 3, 52–58.
  • Trenberth, K. E., Dai, A., Schrier, G., Jones, P. D., Barichivich, J., Briffa, K. R. and Sheffield, J., Global warming and changes in drought. Nature Climate Change, 2014, 4, 17–22.
  • Dai, A., Drought under global warming: a review. Climate Change, 2011, 2(1), 45–65.
  • Kamble, M. V., Ghosh, K., Rajeevan, M. and Samui, R. P., Drought monitoring over India through normalized difference vegetation index (NDVI). Mausam, 2010, 61, 537–546.
  • CRED, Country profile of natural disasters, EM-DAT: The International Disaster Database, Centre for Research on the Epidemiology of Disasters, 2016.
  • Thomas, T., Nayak, P. C. and Ghosh, N. C., Spatiotemporal analysis of drought characteristics in the Bundelkhand region of Central India using the standardized precipitation index. J. Hydrol. Eng., 2015, 20(11), 05015004-1–05015004-12.
  • Mishra, A. K. and Singh, V. P., Drought modelling – a review. J. Hydrol., 2011, 403(1–2), 157–175.
  • Hosseinizadeh, A., Seyed Kaboli, H., Zareie, H., Akhondalim, A. and Farjad, B., Impact of climate change on the severity, duration, and frequency of drought in a semi-arid agricultural basin. Geoenviron. Disasters, 2015, 2, 23.
  • Hayes, M. J., Wilhelmi, O. V. and Knutson, C. L., Reducing drought risk: bridging theory and practice. Nat. Hazards Rev., 2004, 5(2), 106–113.
  • Guttman, N. B., Comparing the Palmer drought index and the standardized precipitation index. J. Am. Water Resour. Assoc., 1998, 34(1), 113–121.
  • Pramudya, Y. and Onishi, T., Assessment of the standardized precipitation index (SPI) in Tegal city, Central Java, Indonesia. IOP Conf. Series: Earth Environ. Sci., 2018, 129, 012019.
  • Kogan, F. N., Contribution of remote sensing to drought early warning. In Early Warning Systems for Drought Preparedness and Drought Management (eds Wilnite, D. A. and Wood, D A.), World Meteorological Organization, Geneva, 2000, pp. 75–87.
  • Hayes, M. J., Svoboda, M., Wall, N. and Widhalm, M., The Lincoln Declaration on drought indices: universal meteorological drought index recommended. Bull. Am. Meteorol. Soc., 2011, 92(4), 485–488.
  • McKee, T. B., Doesken, N. J. and Kleist, J., The relationship of drought frequency and duration to time scales. In 8th Conference on Applied Climatology, Anaheim, CA, USA, 1993, pp. 179–184.
  • Morid, S., Smakhtin, V. and Moghaddasi, M., Comparison of seven meteorological indices for drought monitoring in Iran. Int. J. Climatol., 2006, 26, 971–985.
  • Kokilavani, S., Panneerselvam, S. and Dheebakaran, Ga, Centurial rainfall analysis for drought in Coimbatore city of Tamil Nadu, India. Madras Agric. J., 2019, 106(7–9), 484–487.
  • Ramaraj, A. P., Kokilavani, S., Manikandan, N., Arthirani, B. and Rajalakshmi, D., Rainfall stability and drought valuation (using SPI) over southern zone of Tamil Nadu. Curr. World Environ., 2015, 10(3), 928–933.

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  • Drought intensity and frequency analysis using SPI for Tamil Nadu, India

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Authors

S. Kokilavani
Agro Climate Research Centre, Tamil Nadu Agricultural University, Coimbatore 641 003, India
S. P. Ramanathan
Agro Climate Research Centre, Tamil Nadu Agricultural University, Coimbatore 641 003, India
Ga. Dheebakaran
Agro Climate Research Centre, Tamil Nadu Agricultural University, Coimbatore 641 003, India
N. K. Sathyamoorthy
Agro Climate Research Centre, Tamil Nadu Agricultural University, Coimbatore 641 003, India
N. K. Maragatham
Agro Climate Research Centre, Tamil Nadu Agricultural University, Coimbatore 641 003, India
R. Gowtham
Agro Climate Research Centre, Tamil Nadu Agricultural University, Coimbatore 641 003, India

Abstract


To assess the drought hazard for different agro-climatic zones of Tamil Nadu (TN), India, the present study deals with temporal trend and spatial pattern of drought over the period 1981–2019. Standardized Pre­cipitation Index (SPI) has been used to detail the geographical variations of drought intensity, duration and frequency at multiple time steps. The spatial rainfall variability of the Southwest monsoon (SWM) ranged from 69.3 mm (Tuticorin) to 772.8 mm (the Nilgiris), and that for the Northeast monsoon (NEM) ranged from 277.8 mm (Krishnagiri) to 825.9 mm (Nagapattinam), while annual rainfall variability ranged from 558.8 mm (Tuticorin) to 1466.8 mm (the Nilgiris) for TN. Irrespective of all the regions, the frequency of moderate drought occurrence was higher compared to other drought nomenclature. The NEM season recorded on par and higher number of drought occurrences with respect to SWM season. Out of 39 years, TN experienced severely dry to extremely dry climate during 2002. The result underlines the potential of SPI in drought identification and also revealed that the rainfall is strongly linked to drought policies and measures imple­mented for the state.

Keywords


Northeast monsoon, rainfall, southwest monsoon, spatial variability, standardized precipitation index

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DOI: https://doi.org/10.18520/cs%2Fv121%2Fi6%2F781-788