Naslov
Modeling Synthetic Data Series - Monthly Precipitation Using Pseudorandom Scalar Numbers

Autori
Ružić, Igor ; Feretić, Svjetlan ; Ožanić, Nevenka ; Rubinić, Josip

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of BALWOIS conference / Marc Morell - Ohrid : Denona, 2008, 54-65

ISBN
978-953-7076-12-4

Skup
Water Observation and Information System for Balkan Countries

Mjesto i datum
Ohrid, Sjeverna Makedonija, 27.05.2008. - 31.05.2008

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
synthetic data series; monthly precipitation rate; empirical-stochastic model; time series; registered data; generated data

Sažetak
This paper presents use of synthetic data series in hydrology. It presents how a novel (empiricalstochastic) approach to the modeling of synthetic series of monthly precipitation data has been developed. The model uses pseudorandom scalar values drawn from a uniform distribution, with some restrictions described in paper. Statistical parameters of data collected from precipitation station have been used as the model inputs (average, maximum and minimum monthly precipitation, trends...). During development of model data collected from several precipitation stations have been used in verification of the new model and compared with generated data using various hypothesis tests (Kolmogorov-Smirnov, Ansari-Bradley, Wilcoxon rank sum ...). In the end the results have shown that the proposed model may be considered acceptable. One of input parameters in this model is the monthly precipitation trend, so it is possible to generate future synthetic data. These data are compared with various return period monthly precipitations, calculated with standard probability functions used in hydrology.

Izvorni jezik
Engleski

Znanstvena područja
Građevinarstvo

POVEZANOST RADA