Synthetic simulation of streamflow and rainfall data using disaggregation models

Synthetic hydrological series is useful for evaluating water supply management decision and reservoir design. This paper examines stochastic disaggregation models that are capable of reproducing statistical characteristics especially mean and standard deviation of historical data series. Simulation...

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Main Authors: Ismail, Nurul Adzura, Harun, Sobri, Yusop, Zulkifli
Format: Article
Published: Faculty of Civil Engineering, UTM 2004
Subjects:
Online Access:http://eprints.utm.my/8264/
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author Ismail, Nurul Adzura
Harun, Sobri
Yusop, Zulkifli
author_facet Ismail, Nurul Adzura
Harun, Sobri
Yusop, Zulkifli
author_sort Ismail, Nurul Adzura
building UTeM Institutional Repository
collection Online Access
description Synthetic hydrological series is useful for evaluating water supply management decision and reservoir design. This paper examines stochastic disaggregation models that are capable of reproducing statistical characteristics especially mean and standard deviation of historical data series. Simulation was carried out on both transformed and untransformed streamflow and rainfall series of Sungai Muar. The Synthetic Streamflow Generation Software Package (SPIGOT) model was found to be the most robust for streamflow simulation. On the other hand, the Valencia-Schaake (VLSH) model is more superior for generating rainfall series.
first_indexed 2025-11-15T21:01:21Z
format Article
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institution Universiti Teknologi Malaysia
institution_category Local University
last_indexed 2025-11-15T21:01:21Z
publishDate 2004
publisher Faculty of Civil Engineering, UTM
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spelling utm-82642017-03-09T07:18:29Z http://eprints.utm.my/8264/ Synthetic simulation of streamflow and rainfall data using disaggregation models Ismail, Nurul Adzura Harun, Sobri Yusop, Zulkifli TC Hydraulic engineering. Ocean engineering TD Environmental technology. Sanitary engineering TA Engineering (General). Civil engineering (General) Synthetic hydrological series is useful for evaluating water supply management decision and reservoir design. This paper examines stochastic disaggregation models that are capable of reproducing statistical characteristics especially mean and standard deviation of historical data series. Simulation was carried out on both transformed and untransformed streamflow and rainfall series of Sungai Muar. The Synthetic Streamflow Generation Software Package (SPIGOT) model was found to be the most robust for streamflow simulation. On the other hand, the Valencia-Schaake (VLSH) model is more superior for generating rainfall series. Faculty of Civil Engineering, UTM 2004 Article PeerReviewed Ismail, Nurul Adzura and Harun, Sobri and Yusop, Zulkifli (2004) Synthetic simulation of streamflow and rainfall data using disaggregation models. Jurnal Kejuruteraan Awam, 16 (2). pp. 56-65. ISSN 0128-0147 https://www.researchgate.net/publication/242283841_SYNTHETIC_SIMULATION_OF_STREAMFLOW_AND_RAINFALL_DATA_USING_DISAGGREGATION_MODELS
spellingShingle TC Hydraulic engineering. Ocean engineering
TD Environmental technology. Sanitary engineering
TA Engineering (General). Civil engineering (General)
Ismail, Nurul Adzura
Harun, Sobri
Yusop, Zulkifli
Synthetic simulation of streamflow and rainfall data using disaggregation models
title Synthetic simulation of streamflow and rainfall data using disaggregation models
title_full Synthetic simulation of streamflow and rainfall data using disaggregation models
title_fullStr Synthetic simulation of streamflow and rainfall data using disaggregation models
title_full_unstemmed Synthetic simulation of streamflow and rainfall data using disaggregation models
title_short Synthetic simulation of streamflow and rainfall data using disaggregation models
title_sort synthetic simulation of streamflow and rainfall data using disaggregation models
topic TC Hydraulic engineering. Ocean engineering
TD Environmental technology. Sanitary engineering
TA Engineering (General). Civil engineering (General)
url http://eprints.utm.my/8264/
http://eprints.utm.my/8264/