Nonlinear flood routing based on simulated annealing
The Linear Muskingum model has been used most widely in comparison with other flood routing methods in hydrologic engineering. The basic model provides a forecasting form that may be used to predict the downstream flow, a finite time ahead on the basis of the current flow rates. However the shortfal...
Saved in:
Main Author: | |
---|---|
Other Authors: | |
Format: | Final Year Project |
Language: | English |
Published: |
2011
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/45384 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
id |
sg-ntu-dr.10356-45384 |
---|---|
record_format |
dspace |
spelling |
sg-ntu-dr.10356-453842023-03-03T17:08:05Z Nonlinear flood routing based on simulated annealing Muthukumarasamy, Dinesh. School of Civil and Environmental Engineering Qin Xiaosheng DRNTU::Engineering::Civil engineering::Water resources The Linear Muskingum model has been used most widely in comparison with other flood routing methods in hydrologic engineering. The basic model provides a forecasting form that may be used to predict the downstream flow, a finite time ahead on the basis of the current flow rates. However the shortfall of this method would be the linearity theorem which becomes restricted when the system exhibits a non-linear relationship between weighted flow and storage volume. This study aims to investigate higher forms of non-linear equations using an optimisation technique known as Simulated Annealing. The underlying logic is, the greater the nonlinearity, the higher the degree of freedoms and hence a better estimation of parameters. This then leads to a better outflow predictability. The result of the analysis clearly draws a distinction between usage of the more common non-liner forms and the complex non-linear forms. Bachelor of Engineering (Civil) 2011-06-13T04:12:13Z 2011-06-13T04:12:13Z 2011 2011 Final Year Project (FYP) http://hdl.handle.net/10356/45384 en Nanyang Technological University 55 p. application/pdf |
institution |
Nanyang Technological University |
building |
NTU Library |
continent |
Asia |
country |
Singapore Singapore |
content_provider |
NTU Library |
collection |
DR-NTU |
language |
English |
topic |
DRNTU::Engineering::Civil engineering::Water resources |
spellingShingle |
DRNTU::Engineering::Civil engineering::Water resources Muthukumarasamy, Dinesh. Nonlinear flood routing based on simulated annealing |
description |
The Linear Muskingum model has been used most widely in comparison with other flood routing methods in hydrologic engineering. The basic model provides a forecasting form that may be used to predict the downstream flow, a finite time ahead on the basis of the current flow rates. However the shortfall of this method would be the linearity theorem which becomes restricted when the system exhibits a non-linear relationship between weighted flow and storage volume. This study aims to investigate higher forms of non-linear equations using an optimisation technique known as Simulated Annealing. The underlying logic is, the greater the nonlinearity, the higher the degree of freedoms and hence a better estimation of parameters. This then leads to a better outflow predictability. The result of the analysis clearly draws a distinction between usage of the more common non-liner forms and the complex non-linear forms. |
author2 |
School of Civil and Environmental Engineering |
author_facet |
School of Civil and Environmental Engineering Muthukumarasamy, Dinesh. |
format |
Final Year Project |
author |
Muthukumarasamy, Dinesh. |
author_sort |
Muthukumarasamy, Dinesh. |
title |
Nonlinear flood routing based on simulated annealing |
title_short |
Nonlinear flood routing based on simulated annealing |
title_full |
Nonlinear flood routing based on simulated annealing |
title_fullStr |
Nonlinear flood routing based on simulated annealing |
title_full_unstemmed |
Nonlinear flood routing based on simulated annealing |
title_sort |
nonlinear flood routing based on simulated annealing |
publishDate |
2011 |
url |
http://hdl.handle.net/10356/45384 |
_version_ |
1759856334862286848 |