Pregled bibliografske jedinice broj: 228148
Estimation of precipitation extremes in ungauged areas
Estimation of precipitation extremes in ungauged areas // VIIth IAHS Scientific Assembly
Foz do Iguaçu, Brazil: International Association of Hydrological Sciences (IAHS), 2005. (poster, nije recenziran, sažetak, ostalo)
CROSBI ID: 228148 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Estimation of precipitation extremes in ungauged areas
Autori
Gajić-Čapka, Marjana
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, ostalo
Izvornik
VIIth IAHS Scientific Assembly
/ - : International Association of Hydrological Sciences (IAHS), 2005
Skup
Freshwater: Sustainability within Uncertainty, VVth IAHS Scientific Assembly
Mjesto i datum
Foz do Iguaçu, Brazil, 03.04.2005. - 09.04.2005
Vrsta sudjelovanja
Poster
Vrsta recenzije
Nije recenziran
Ključne riječi
daily precipitation maximum; Jenkinson GEV distribution; growth factors
Sažetak
Very often there is a demand from users for estimates of the maximum precipitation relative to different return periods at locations where there are no measurements, or limited precipitation records. This analysis aims to respond to this problem.In order to classify estimated maximum daily precipitation for Croatia, the pairs of parameters of the Jenkinson GEV distribution R0, k and a were grouped by means of cluster analysis. Clustering of parameters k and  did not indicate on existence of larger homogeneous areas. Therefore, the further regional analysis has been based on spatial characteristics of parameter R0 only.The standardized values RT/R0 (growth factor), being only a function of R0, have been calculated for all stations in each group individually and then their probability distribution for each group. RT/R0 have been calculated for selected percentiles: median, 80th percentile, 90th percentile, 95th percentile, 98th percentile, and 99th percentile. Obtained growth factors are applicable to any observed location defining at first its R0. It can be calculated for locations having even short data series. For locations without measurements, values of R0 from the closest, climatologically similar station can be associated. According to these R0 values the dependence of the location to one of clusters is determined, in order to apply respective growth factors for calculation of expected annual RT for certain return period T in regional normal climate of short-term precipitation.
Izvorni jezik
Engleski
Znanstvena područja
Geologija
POVEZANOST RADA