By Giuseppe Rossi, Teodoro Vega, Brunella Bonaccorso
Frequent drought occasions have lately happened in several Mediterranean areas. those have highlighted a basic inadequacy of the present options utilized to mitigate damaging affects of such phenomenon. This publication presents numerous tools of drought tracking at assorted spatial scales, in addition to leading edge drought forecasting suggestions according to stochastic methods. in addition to universal drought indices (i.e. SPI), new agrometeorological indices are proposed.
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Extra resources for Methods and Tools for Drought Analysis and Management (Water Science and Technology Library)
Sample text
As anticipated in the introduction, two methods are applied to sample the original data: Annual maximum (AM) and partial duration (PD) series (also known as Peaks Over Threshold series). The AM series consists of the greatest events of each year in a given period of time. According to the Fisher-Tippett theorem (1928), the asymptotic distribution of a series of sample maxima (AM series) belongs to one of three basic distributions, regardless of the original distribution of the observed data. These three families were combined into a single distribution, which is now known as the Generalised Extreme Value (GEV) distribution (see Jenkinson, 1955).
Methods and Tools for Drought Analysis and Management, 29–48. © 2007 Springer. 30 CACCIAMANI ET AL. In the current literature, there are different definitions of drought depending on the duration of the phenomenon, on its spatial extension and on its effects or impacts on human activities. Different approaches and different choices of indicators may be used to describe the problem in relation to the different definitions. In this chapter, attention is focused only on meteorological and agricultural droughts and on the indicators correspondingly used to describe them.
Water Resour. Manage. 17: 273–296. Bordi, I. and Sutera, A. (2001) Fifty years of precipitation: some spatially remote teleconnections. Water Resour. Manage. 15: 247–280. -M. and Sutera, A. (2004) Spatio-temporal variability of dry and wet periods in eastern China. Theor. Appl. Climatol. 79: 81–91. , Petitta, M. and Sutera, A. (2005) Methods for predicting drought occurrences. Proceedings of 6th International Conference of EWRA “Sharing a common vision for our water resources”, September 7–10, 2005, Menton, France, p.