Short-term rainfall prediction using a multifractal model
Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2003.
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2005
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| Online Access: | http://hdl.handle.net/1721.1/29335 |
| _version_ | 1811077150548164608 |
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| author | Chou, Yi-Ju, 1976- |
| author2 | Daniele Veneziano. |
| author_facet | Daniele Veneziano. Chou, Yi-Ju, 1976- |
| author_sort | Chou, Yi-Ju, 1976- |
| collection | MIT |
| description | Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2003. |
| first_indexed | 2024-09-23T10:38:41Z |
| format | Thesis |
| id | mit-1721.1/29335 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T10:38:41Z |
| publishDate | 2005 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/293352019-04-11T08:14:09Z Short-term rainfall prediction using a multifractal model Chou, Yi-Ju, 1976- Daniele Veneziano. Massachusetts Institute of Technology. Dept. of Civil and Environmental Engineering. Massachusetts Institute of Technology. Dept. of Civil and Environmental Engineering. Civil and Environmental Engineering. Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2003. Includes bibliographical references (leaves 32-34). This study develops a method to predict multifractal measure of temporal rainfall intensity by using Kalman filter, and gives some examples of prediction for generated rainfall. The model for the rainfall generation proposed here is established using a continuous-time, discrete-scale lognormal cascade (CLC) with AR(1) process for each component. This model allows us to simulate rainfall field with the property of the multifractality, which indicates the invariance for scaling of rainfall measure. Through the observation from the synthetic rainfall simulated by this model, Kalman filter is used as the tool for short-term rainfall prediction. We compare different results of predictions made under different simulations and discuss the extensions of this study, prediction for the wet/dry process while looking at real rainfall and issues about space-time rainfall modeling. Keywords: Multifractality, Bayesian estimation, Kalman filter. by Yi-Ju Chou. M.Eng. 2005-10-14T19:55:30Z 2005-10-14T19:55:30Z 2003 2003 Thesis http://hdl.handle.net/1721.1/29335 52723462 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 53 leaves 1352801 bytes 1352609 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology |
| spellingShingle | Civil and Environmental Engineering. Chou, Yi-Ju, 1976- Short-term rainfall prediction using a multifractal model |
| title | Short-term rainfall prediction using a multifractal model |
| title_full | Short-term rainfall prediction using a multifractal model |
| title_fullStr | Short-term rainfall prediction using a multifractal model |
| title_full_unstemmed | Short-term rainfall prediction using a multifractal model |
| title_short | Short-term rainfall prediction using a multifractal model |
| title_sort | short term rainfall prediction using a multifractal model |
| topic | Civil and Environmental Engineering. |
| url | http://hdl.handle.net/1721.1/29335 |
| work_keys_str_mv | AT chouyiju1976 shorttermrainfallpredictionusingamultifractalmodel |