<abstract xml:lang="en" xmlns="http://www.w3.org/1999/xhtml"><p>Several 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 with <italic>K</italic>-day periods of values of temperature, humidity and precipitation corresponding to decision making units. In this paper we have used the period of <italic>K</italic> = 10 days for both methodologies for identification of extreme events. The results of all definitions of extreme events are compared.</p></abstract>

Several 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 with K-day periods of values of temperature, humidity and precipitation corresponding to decision making units. In this paper we have used the period of K = 10 days for both methodologies for identification of extreme events. The results of all definitions of extreme events are compared.

Risks Due to Variability of K-Day Extreme Precipitation Totals and Other K-Day Extreme Events

Faculty of Mathematics, Physics and Informatics, Mlynská dolina, SK-842 48 Bratislava, Slovak Republic

Journal of Hydrology and Hydromechanics

Several alternative definitions of extreme events are proposed. As the first step a statistical analysis of daily precipitation measurement time series from...

Risks Due to Variability of K-Day Extreme Precipitation Totals and Other K-Day Extreme Events

Online veröffentlicht: 24. Dez. 2009

Seitenbereich: 250 - 263

DOI: https://doi.org/10.2478/v10098-009-0022-0

Schlüsselwörter
extrémne udalosti, atmosférické zrážky, vlhkosť, teplota, index sucha, DEA analýza

This content is open access.

Risks Due to Variability of K-Day Extreme Precipitation Totals and Other K-Day Extreme Events

Online veröffentlicht: 24. Dez. 2009

Seitenbereich: 250 - 263

DOI: https://doi.org/10.2478/v10098-009-0022-0

Schlüsselwörterextrémne udalosti, atmosférické zrážky, vlhkosť, teplota, index sucha, DEA analýza

This content is open access.

Schlüsselwörter
extrémne udalosti, atmosférické zrážky, vlhkosť, teplota, index sucha, DEA analýza