Stochastic streamflow analysis and simulation using disaggregation model

Synthetic hydrological series is beneficial for the water resources planning, management and design purposes such as evaluating water supply management decision and reservoir design. Stochastically generated data can be used in any fields of study that use historical data. It would produce a better...

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Main Author:	Mustapha, Azwan
Format:	Thesis
Language:	English
Published:	2012
Subjects:	T Technology (General)
Online Access:	http://eprints.utm.my/id/eprint/32530/1/AzwanMustaphaMFKA2012.pdf
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id	my-utm-ep.32530
record_format	uketd_dc
spelling	my-utm-ep.325302017-08-21T06:43:05Z Stochastic streamflow analysis and simulation using disaggregation model 2012 Mustapha, Azwan T Technology (General) Synthetic hydrological series is beneficial for the water resources planning, management and design purposes such as evaluating water supply management decision and reservoir design. Stochastically generated data can be used in any fields of study that use historical data. It would produce a better result for any application where the result depends on the time series pattern. Therefore, this study examines three stochastic disaggregation models that are capable of reproducing statistical parameters especially means and standard deviation of historical data series. The objectives of this study are to test, identify and confirm the best stochastic disaggregation model in generating synthetic data series. Stochastic Analysis Modeling and Simulation (SAMS-2000) is used to generate the synthetic hydrological data series. The method is applied for single site cases and comparison is made between three disaggregation models namely Valencia and Schaake model, Mejia and Rouselle model, and Lane model. The simulations of monthly streamflow are carried out for five stations from Kedah, Perak and Selangor. The comparison of results shows that Valencia and Schaake (VLSH) model is the most satisfactory and robust model that preserves both monthly and annual statistical parameters of the historical data sequences. This is true for both untransformed and transformed series. Therefore, it is recommended to use VLSH model for simulation of water resources in study area. 2012 Thesis http://eprints.utm.my/id/eprint/32530/ http://eprints.utm.my/id/eprint/32530/1/AzwanMustaphaMFKA2012.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:77815?queryType=vitalDismax&query=Stochastic+streamflow+analysis+and+simulation+using+disaggregation+model&public=true masters Universiti Teknologi Malaysia, Faculty of Civil Engineering Faculty of Civil Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	T Technology (General)
spellingShingle	T Technology (General) Mustapha, Azwan Stochastic streamflow analysis and simulation using disaggregation model
description	Synthetic hydrological series is beneficial for the water resources planning, management and design purposes such as evaluating water supply management decision and reservoir design. Stochastically generated data can be used in any fields of study that use historical data. It would produce a better result for any application where the result depends on the time series pattern. Therefore, this study examines three stochastic disaggregation models that are capable of reproducing statistical parameters especially means and standard deviation of historical data series. The objectives of this study are to test, identify and confirm the best stochastic disaggregation model in generating synthetic data series. Stochastic Analysis Modeling and Simulation (SAMS-2000) is used to generate the synthetic hydrological data series. The method is applied for single site cases and comparison is made between three disaggregation models namely Valencia and Schaake model, Mejia and Rouselle model, and Lane model. The simulations of monthly streamflow are carried out for five stations from Kedah, Perak and Selangor. The comparison of results shows that Valencia and Schaake (VLSH) model is the most satisfactory and robust model that preserves both monthly and annual statistical parameters of the historical data sequences. This is true for both untransformed and transformed series. Therefore, it is recommended to use VLSH model for simulation of water resources in study area.
format	Thesis
qualification_level	Master's degree
author	Mustapha, Azwan
author_facet	Mustapha, Azwan
author_sort	Mustapha, Azwan
title	Stochastic streamflow analysis and simulation using disaggregation model
title_short	Stochastic streamflow analysis and simulation using disaggregation model
title_full	Stochastic streamflow analysis and simulation using disaggregation model
title_fullStr	Stochastic streamflow analysis and simulation using disaggregation model
title_full_unstemmed	Stochastic streamflow analysis and simulation using disaggregation model
title_sort	stochastic streamflow analysis and simulation using disaggregation model
granting_institution	Universiti Teknologi Malaysia, Faculty of Civil Engineering
granting_department	Faculty of Civil Engineering
publishDate	2012
url	http://eprints.utm.my/id/eprint/32530/1/AzwanMustaphaMFKA2012.pdf
_version_	1747816024539922432

Stochastic streamflow analysis and simulation using disaggregation model

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