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...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
2011
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/10356/45384 |
| _version_ | 1811691562883612672 |
|---|---|
| author | Muthukumarasamy, Dinesh. |
| author2 | School of Civil and Environmental Engineering |
| author_facet | School of Civil and Environmental Engineering Muthukumarasamy, Dinesh. |
| author_sort | Muthukumarasamy, Dinesh. |
| collection | NTU |
| 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. |
| first_indexed | 2024-10-01T06:21:52Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/45384 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T06:21:52Z |
| publishDate | 2011 |
| record_format | dspace |
| spelling | ntu-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 |
| spellingShingle | DRNTU::Engineering::Civil engineering::Water resources Muthukumarasamy, Dinesh. Nonlinear flood routing based on simulated annealing |
| title | 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_short | Nonlinear flood routing based on simulated annealing |
| title_sort | nonlinear flood routing based on simulated annealing |
| topic | DRNTU::Engineering::Civil engineering::Water resources |
| url | http://hdl.handle.net/10356/45384 |
| work_keys_str_mv | AT muthukumarasamydinesh nonlinearfloodroutingbasedonsimulatedannealing |