Abstract
Risks Due to Variability of K-Day Extreme Precipitation Totals and Other K-Day Extreme EventsSeveral alternative definitions of extreme events are proposed. As the first step a statistical analysis of daily precipitation measurement time series from the Hurbanovo SHMI Observatory and elaboration of potentially dangerous precipitation events is carried out. Then, combined characteristics based on daily temperature, daily air humidity and daily precipitation totals are computed. The drought index based on normalized deviations from long-term averages is defined. Alternatively, to define extreme events "Data envelopment analysis" (DEA) is employed withK-day periods of values of temperature, humidity and precipitation corresponding to decision making units. In this paper we have used the period ofK= 10 days for both methodologies for identification of extreme events. The results of all definitions of extreme events are compared.
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