This paper presents the results of stochastic analysis of meteorological droughts occurrence in a growing season based on the data from two meteorological stations in Vojvodina (Sremska Mitrovica and Kikinda). Meteorological drought is defined as a product of drought length (period lasting at least 25 days with precipitation below 5 mm/day) and mean air temperature during the dry period. Stochastic model of the meteo-drought occurrence is based on the theory of extremes with a random number of random variables, allowing to make use of all significant observed meteo-droughts. The model is comprised of the Poissonian process that describes the droughts occurrence and selected theoretical distributions for the droughts magnitude. Design meteo-droughts having return period 10, 20, 50 and 100 years are determined on the basis of adopted theoretical distribution of meteo-drought, duration and mean air temperature.
TY - CONF
AU - Gabrić, Ognjen
AU - Janjikopanji, Đorđe
AU - Plavšić, Jasna
AU - Fabian, Đula
PY - 2017
UR - http://grafar.grf.bg.ac.rs/handle/123456789/1515
AB - This paper presents the results of stochastic analysis of meteorological droughts occurrence in a growing season based on the data from two meteorological stations in Vojvodina (Sremska Mitrovica and Kikinda). Meteorological drought is defined as a product of drought length (period lasting at least 25 days with precipitation below 5 mm/day) and mean air temperature during the dry period. Stochastic model of the meteo-drought occurrence is based on the theory of extremes with a random number of random variables, allowing to make use of all significant observed meteo-droughts. The model is comprised of the Poissonian process that describes the droughts occurrence and selected theoretical distributions for the droughts magnitude. Design meteo-droughts having return period 10, 20, 50 and 100 years are determined on the basis of adopted theoretical distribution of meteo-drought, duration and mean air temperature.
PB - Građevinski fakultet, Subotica
C3 - Zbornik radova Građevinskog fakulteta
T1 - Statistical analysis of meteo-droughts for Sremska Mitrovica and Kikinda
T1 - Statistička analiza meteoroloških suša za Sremsku Mitrovicu i Kikindu
EP - 612
SP - 601
VL - 33
DO - 10.14415/konferencijaGFS2017.064
ER -
@conference{
author = "Gabrić, Ognjen and Janjikopanji, Đorđe and Plavšić, Jasna and Fabian, Đula",
year = "2017",
url = "http://grafar.grf.bg.ac.rs/handle/123456789/1515",
abstract = "This paper presents the results of stochastic analysis of meteorological droughts occurrence in a growing season based on the data from two meteorological stations in Vojvodina (Sremska Mitrovica and Kikinda). Meteorological drought is defined as a product of drought length (period lasting at least 25 days with precipitation below 5 mm/day) and mean air temperature during the dry period. Stochastic model of the meteo-drought occurrence is based on the theory of extremes with a random number of random variables, allowing to make use of all significant observed meteo-droughts. The model is comprised of the Poissonian process that describes the droughts occurrence and selected theoretical distributions for the droughts magnitude. Design meteo-droughts having return period 10, 20, 50 and 100 years are determined on the basis of adopted theoretical distribution of meteo-drought, duration and mean air temperature.",
publisher = "Građevinski fakultet, Subotica",
journal = "Zbornik radova Građevinskog fakulteta",
title = "Statistical analysis of meteo-droughts for Sremska Mitrovica and Kikinda, Statistička analiza meteoroloških suša za Sremsku Mitrovicu i Kikindu",
pages = "612-601",
volume = "33",
doi = "10.14415/konferencijaGFS2017.064"
}
Gabrić, O., Janjikopanji, Đ., Plavšić, J.,& Fabian, Đ. (2017). Statistička analiza meteoroloških suša za Sremsku Mitrovicu i Kikindu.
Zbornik radova Građevinskog fakulteta
Građevinski fakultet, Subotica., 33, 601-612.
https://doi.org/10.14415/konferencijaGFS2017.064
Gabrić O, Janjikopanji Đ, Plavšić J, Fabian Đ. Statistička analiza meteoroloških suša za Sremsku Mitrovicu i Kikindu. Zbornik radova Građevinskog fakulteta. 2017;33:601-612
