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Drought Indices

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Drought Assessment

Abstract

Drought indicators quantify information thereby making the significance of such information more readily apparent; simplify information about complex phenomena in order to improve communication and portray the relative and/or absolute change over the period of time in quantifying flow-on economic impacts from potential changes in agricultural production and ways of dealing with the situations such as groundwater abstraction, irrigation scheduling, and social costs. As the drought risk is not only due to meteorological but also due to socio-economic and technological changes, the ideal index should be derived from a biophysical model having strong linkages to social and economic outcomes. The main purpose of the drought index was to compare the present-day risk with that of the anticipated risk in 50 years’ time assuming that there will be 30% more droughts then than now. It is important to establish benchmarks or trigger points for making critical decisions and also be important to have an indication of recovery time — the amount of rainfall required to bring the drought to an end.

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References

  • Gibbs, W.J. and Maher, (1967). Rainfall deciles as drought indicators. Bureau of Meteorology Bulletin, 48, Commonwealth of Australia, Australia.

    Google Scholar 

  • James, EJ. (1999). Evapotranspiration losses with studies from Kerala. Proceedings International workshop on Water Surfaces. CSIP Publication no. 205, pp. 201–206.

    Google Scholar 

  • Krishnan, A. (1979). Definition of droughts and factors affecting relevant to specifications of agricultural and hydrologic droughts. Proceedings International Symposium on Hydrological aspects of drought, 3–7 December 1979, New Delhi. pp. 67–102.

    Google Scholar 

  • Lemon, E.R. and Sinn, J.H. (1968). Photosynthesis under field condition, Soil-Plant-Water relations during drought stress in com. Agronomy Journal, 60, pp. 337–343.

    Article  Google Scholar 

  • McKee, B., Doesken, N.J. and Kleist, N. (1993). The relationship of drought frequency and duration to time scales. Proceeding 8th Applied Meterology, 17–22 Jan, Anaheim, CA, pp. 179–184.

    Google Scholar 

  • Narasimhan, B. and Srinivasan, R. (2005). Development and evaluation of Soil Moisture Deficit Index (SMDI) and Evapotranspiration Deficit Index (ETDI) for agriculture drought monitoring. Agricultural and Forest Meteorology, 133, pp. 69–88.

    Article  Google Scholar 

  • Palmer, W.C. (1964). Meteorological drought. Usther Bureau, Department of Commerce Research paper 45, Washington DC.

    Google Scholar 

  • Parthsarathy, B., Sontakke, N.A., Monot, A.A. and Kothawale, D.R. (1987). Drought/ floods in the summer monsoon season over different meteorological subdivisions of India for the period 1871–1984. J. Climatology, 7, pp. 57–70.

    Article  Google Scholar 

  • Petrasovits, I. (1990). General review on Drought strategies. In: Transactions of 14th Congress on Irrigation and Drainage, Rio De Janiero, Vol. 1-F International Commission on Irrigation and Drainage (ICID) G 43.1–43.27.

    Google Scholar 

  • Rathore, L.S. and Biswas, B.C. (1999). Pan evaporation over India. Proceedings International workshop on Water Surfaces. CBIP Publication no. 205, pp. 61–68.

    Google Scholar 

  • Salvati, L., Liberià, A. and Antonio Brunetti, A. (2005). Bio-climatic Evaluation of Drought Severity: A Computational Approach using Dry Spells. Journal Ecology and Biology.

    Google Scholar 

  • Sastri, A.S.R.A.S., Ramakrishna, Y.S. and Ramana Rao, B.V. (1981). A new method of classifying agricultural drought. Archiv fur Meterologies Geophysik: und Bioklimatologie, ser B.29, pp. 283–287.

    Google Scholar 

  • Steinemann, A., Hayes, M.J. and Cavalcanti, L. (2005). Drought Indicators and Triggers. In: Wilhite, D. (ed.) Drought and Wilter Crises: Science, Technology, and Management Issues. Marcel Dekker, NY.

    Google Scholar 

  • Thornwaite, C.W. and Mather, J.R. (1957). Instruction and table for computing potential evapo-transpiration and the water balance. Climatology, 10(3).

    Google Scholar 

  • Tucker, C.J. and Sellers, P.J. (1986). Satellite remote sensing of primary production. International J. Remote Sensing, 7, pp. 1395–1416.

    Article  Google Scholar 

Further Reading

  • Akinremi, O.O., McGinn, S.M. and Barr, A.G. (1996). Simulating soil moisture and other components of the hydrological cycle using a water budget approach. Canadian Journal of Soil Science, 75, pp. 133–142.

    Google Scholar 

  • Brunetti, M., Maugeri, M. and Nanni, T. (2001). Changes in total precipitation, rainy days and extreme events in northeastern Italy. International Journal of Climatology, 21, pp. 861–871.

    Article  Google Scholar 

  • Brunetti, M., Maugeri, M., Nanni, T. and Navarra, A. (2002). Droughts and extreme events in regional daily Italian precipitation series. Int. J. Climatol. 22, pp. 543–558.

    Article  Google Scholar 

  • Loaiciga, H.A. and Leipnik (1996). Stochastic renewal model of low-flow stream flow sequences. Stochastic Hydrology and Hydraulics, 10(1), pp. 65–85.

    Article  Google Scholar 

  • Lohani, V.K. and Loganathan, G.V. (1997). An early warning system for drought management using the Palmer Drought Severity Index. Nordic Hydrology, 29(1), pp. 21–40.

    Google Scholar 

  • Maracchi, G. (2000). Agricultural drought — A practical approach to definition, assessment and mitigation strategies. In: Vogt, J.V. and Somma, F. (eds). Drought and Drought Mitigation in Europe. Kluwer Academic Publishers, pp. 63–75.

    Google Scholar 

  • Sullivan, C.A. and Meigh, J.R. (2005). Targeting attention on local vulnerabilities using an integrated index approach: The example of the Climate Vulnerability Index. Water Sciences and Technology (Special Issue on Climate Change), 51(5), pp. 69–78.

    Google Scholar 

  • Tate, E.L. and Gustard, A. (2000). Drought definition: Hydrological perspective. In: Vogt. J.V. and Somma, F. (eds) Drought and Drought Mitigation in Europe. Kluwar Academic Publishers, pp. 23–48.

    Google Scholar 

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Nagarajan, R. (2009). Drought Indices. In: Drought Assessment. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-2500-5_5

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