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http://dx.doi.org/10.3741/JKWRA.2009.42.11.1017

Study of Direct Parameter Estimation for Neyman-Scott Rectangular Pulse Model  

Jeong, Chang-Sam (Dept. of Civil and Environmental Eng. Induk Univ.)
Publication Information
Journal of Korea Water Resources Association / v.42, no.11, 2009 , pp. 1017-1028 More about this Journal
Abstract
NSRPM (Neyman-Scott Rectangular Pulse Model) is one of the common model for generating future precipitation time series in stochastical hydrology. There are 5 parameters to compose the NSRPM model for generating precipitation time series. Generally parameter estimation using moment has some problems related with increased objective functions and shows different results in accordance with random variable generating models. In this study, direct parameter estimation method was proposed to cover with disadvantages of parameter estimation using moment. To apply the direct parameter estimation, generating stochastical data variance in accordance with numbers of precipitation events of NSRPM was done. Both kinds of methods were applied at the Cheongju gauge station data. Precipitation time series were generated using 4 different random variable generator, and compared with observed time series to check the accuracies. As a results, direct method showed more stable and better results.
Keywords
NSRPM; generating future precipitation time series; direct parameter estimation;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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