Synthetic simulation of streamflow and rainfall data using disaggregation models

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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Bibliographic Details
Main Authors: Ismail, Nurul Adzura, Harun, Sobri, Yusop, Zulkifli
Format: Article
Published: Faculty of Civil Engineering, UTM 2004
Subjects:
TC Hydraulic engineering. Ocean engineering
TD Environmental technology. Sanitary engineering
TA Engineering (General). Civil engineering (General)
Online Access:http://eprints.utm.my/id/eprint/8264/
https://www.researchgate.net/publication/242283841_SYNTHETIC_SIMULATION_OF_STREAMFLOW_AND_RAINFALL_DATA_USING_DISAGGREGATION_MODELS
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Institution: Universiti Teknologi Malaysia
Description
Summary: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.

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