Performance of mixed exponential and exponential distribution representing rain cell intensity in neyman-scott rectangular pulse (NSRP) model

Sub-daily timescale data such as hourly data are needed for modeling urban systems. However such series are not readily available as compared to daily rainfall series. Stochastic rainfall models are useful in estimating input for design work. One of the models that applies the clustered point proce...

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Main Authors: Yusof, Fadhilah, Mohd. Daud, Zarina, Nguyen, V-T-V, Yusop, Zulkifli
Format: Article
Language:English
English
Published: Faculty of Civil Engineering, Universiti Teknologi Malaysia 2007
Subjects:
Online Access:http://eprints.utm.my/8160/
http://eprints.utm.my/8160/1/FYusof2007-Performance_of_Mixed_Exponential_And.pdf
http://eprints.utm.my/8160/3/index.html
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author Yusof, Fadhilah
Mohd. Daud, Zarina
Nguyen, V-T-V
Yusop, Zulkifli
author_facet Yusof, Fadhilah
Mohd. Daud, Zarina
Nguyen, V-T-V
Yusop, Zulkifli
author_sort Yusof, Fadhilah
building UTeM Institutional Repository
collection Online Access
description Sub-daily timescale data such as hourly data are needed for modeling urban systems. However such series are not readily available as compared to daily rainfall series. Stochastic rainfall models are useful in estimating input for design work. One of the models that applies the clustered point process theory is the Neyman-Scott Rectangular Pulses (NSRP) model. The model uses a flexible model fitting procedure which involves matching approximately a chosen set of historical statistics which exceeds in number of set of parameters to be estimated. An optimization technique called Shuffle Complex Evolution (SCE-UA) was used to estimate the parameters. The performance of NSRP model was evaluated using 10 years hourly data taken from a station in Wilayah Persekutuan. Two distributions, namely exponential (EXP) and mixed exponential (MEXP) were used to model the cell intensities in the model. The models were evaluated on a monthly basis regarding their ability to preserve the statistical properties as well as the physical properties of the rainfall time-series over timescales of 1 h, 6 h and 24 h. The performance of the models with the two different distributions was evaluated and compared. The model with the mixed exponential (MEXP) distribution perform better in preserving most of the statistical and physical properties of the observed data.
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spelling utm-81602014-01-12T07:23:14Z http://eprints.utm.my/8160/ Performance of mixed exponential and exponential distribution representing rain cell intensity in neyman-scott rectangular pulse (NSRP) model Yusof, Fadhilah Mohd. Daud, Zarina Nguyen, V-T-V Yusop, Zulkifli TA Engineering (General). Civil engineering (General) Sub-daily timescale data such as hourly data are needed for modeling urban systems. However such series are not readily available as compared to daily rainfall series. Stochastic rainfall models are useful in estimating input for design work. One of the models that applies the clustered point process theory is the Neyman-Scott Rectangular Pulses (NSRP) model. The model uses a flexible model fitting procedure which involves matching approximately a chosen set of historical statistics which exceeds in number of set of parameters to be estimated. An optimization technique called Shuffle Complex Evolution (SCE-UA) was used to estimate the parameters. The performance of NSRP model was evaluated using 10 years hourly data taken from a station in Wilayah Persekutuan. Two distributions, namely exponential (EXP) and mixed exponential (MEXP) were used to model the cell intensities in the model. The models were evaluated on a monthly basis regarding their ability to preserve the statistical properties as well as the physical properties of the rainfall time-series over timescales of 1 h, 6 h and 24 h. The performance of the models with the two different distributions was evaluated and compared. The model with the mixed exponential (MEXP) distribution perform better in preserving most of the statistical and physical properties of the observed data. Faculty of Civil Engineering, Universiti Teknologi Malaysia 2007 Article PeerReviewed application/pdf en http://eprints.utm.my/8160/1/FYusof2007-Performance_of_Mixed_Exponential_And.pdf text/html en http://eprints.utm.my/8160/3/index.html Yusof, Fadhilah and Mohd. Daud, Zarina and Nguyen, V-T-V and Yusop, Zulkifli (2007) Performance of mixed exponential and exponential distribution representing rain cell intensity in neyman-scott rectangular pulse (NSRP) model. Malaysian Journal of Civil Engineering, 19 (1). pp. 55-72. ISSN 1823-7843
spellingShingle TA Engineering (General). Civil engineering (General)
Yusof, Fadhilah
Mohd. Daud, Zarina
Nguyen, V-T-V
Yusop, Zulkifli
Performance of mixed exponential and exponential distribution representing rain cell intensity in neyman-scott rectangular pulse (NSRP) model
title Performance of mixed exponential and exponential distribution representing rain cell intensity in neyman-scott rectangular pulse (NSRP) model
title_full Performance of mixed exponential and exponential distribution representing rain cell intensity in neyman-scott rectangular pulse (NSRP) model
title_fullStr Performance of mixed exponential and exponential distribution representing rain cell intensity in neyman-scott rectangular pulse (NSRP) model
title_full_unstemmed Performance of mixed exponential and exponential distribution representing rain cell intensity in neyman-scott rectangular pulse (NSRP) model
title_short Performance of mixed exponential and exponential distribution representing rain cell intensity in neyman-scott rectangular pulse (NSRP) model
title_sort performance of mixed exponential and exponential distribution representing rain cell intensity in neyman-scott rectangular pulse (nsrp) model
topic TA Engineering (General). Civil engineering (General)
url http://eprints.utm.my/8160/
http://eprints.utm.my/8160/1/FYusof2007-Performance_of_Mixed_Exponential_And.pdf
http://eprints.utm.my/8160/3/index.html