Title :
Assessment of a Single-site Daily Rainfall Generator in the Middle East
Author :
Mhanna, Muamaraldin ; Bauwens, Willy
Author_Institution :
Dept. of Hydrol. & Hydraulic Eng., Vrije Univ. Brussel, Brussels, Belgium
Abstract :
Most agricultural, hydrological and ecological models require daily rainfall data to run. However, such data at many sites are often incomplete or simply unavailable. In this study we developed a single-site daily rainfall generator for the simulations of rainfall occurrences and amounts in arid and semi-arid areas in the Middle East. A first-order two-state Markov chain was used to determine the occurrence of rainfall. The rainfall amounts on wet days were generated by using the one-parameter Exponential distribution and the two-parameter Gamma distribution. The Markov model was successful in simulating the rainfall occurrences and the Gamma distribution as the more reliability in preserving most of the important daily characteristics of the historical rainfall amounts.
Keywords :
Markov processes; agriculture; ecology; hydrology; rain; statistical distributions; Middle East; agricultural model; ecological model; first-order two-state Markov chain; hydrological model; one-parameter exponential distribution; rainfall amounts; rainfall occurrences; single-site daily rainfall generator; two-parameter Gamma distribution; Agricultural engineering; Biological system modeling; Computer science; Data engineering; Ecosystems; Exponential distribution; Hydrology; Meteorology; Stochastic processes; Water resources; Markov chain; daily rainfall model; missing data; precipitation; stochastic process;
Conference_Titel :
Environmental and Computer Science, 2009. ICECS '09. Second International Conference on
Conference_Location :
Dubai
Print_ISBN :
978-0-7695-3937-9
Electronic_ISBN :
978-1-4244-5591-1
DOI :
10.1109/ICECS.2009.19
