Generation of multivariate monthly synthetic water streamflows through multiplicative parma model

This paper describes the methodology applied to develop an object oriented computer model for multivariate monthly synthetic water streamflows generation through multiplicative PARMA model (1.0)times(1.0)₁₂. This model assumes that the streamflow of a certain month depends explicitly on the streamflow of the prior month, the streamflow of the same month in the previous year and in the preceding year, as well as on a random noise. The stochastic model tries to guarantee that the historical serial correlations of unitary lag from the annual aggregated streamflows are properly reproduced, as well as the other annual, periodic and statistical parameters.