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https://ptsldigital.ukm.my/jspui/handle/123456789/487103Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | Mandeep Singh Jit Singh, Prof. Ir. Dr. | |
| dc.contributor.author | Ng Yun Yann (P77763) | |
| dc.date.accessioned | 2023-10-11T02:28:53Z | - |
| dc.date.available | 2023-10-11T02:28:53Z | - |
| dc.date.issued | 2020-08-11 | |
| dc.identifier.other | ukmvital:123016 | |
| dc.identifier.uri | https://ptsldigital.ukm.my/jspui/handle/123456789/487103 | - |
| dc.description | The influence of rainfall on radio wave propagation at higher frequencies which above 10 GHz is critical for millimeter wave communication, especially in tropical regions as a result of the high intensity rainfall. The study of one minute rain rate statistics is essential because one minute rain rate is the key input for rain attenuation estimation. Most of the rainfall data provided by meteorological agencies is longer integration time which is higher than one minute. Therefore, conversion of higher integration time rainfall data to one minute rainfall rate is required. Due to most of the existing models were developed based on temperate climates, developing the conversion model based on Malaysia climate which has the high intensity rainfall is mandatory in order to improve the accuracy of conversion result in Malaysia. The objective of the thesis is to develop various integration time (60 minutes, 30 minutes and 10 minutes) rain rate to one minute rain rate conversion model that suite to Malaysia. A four years (from 1st January 2010 until 31st December 2013) rainfall rate data measurement was conducted on ten selected stations (eight stations at Peninsular Malaysia, one station at Sarawak and one station at Sabah). The conversion of various integration time integration (60 minutes, 30 minutes and 10 minutes) rainfall data to one minute rainfall rate on ten selected stations is investigated. Comparison measured one minute rainfall data with predicted one minute rainfall data from existing conversion models by using 60 minutes, 30 minutes and 10 minutes to one minute have been assessed on ten stations in Malaysia to understand the performance of the selected existing models such as Segal model, Chebil and Rahman model, Emiliani model, ITU-R P837-5, etc. The result shows that Lavergnat & Gole model performs well in 50% of sites, Chebil & Rahman model perform well in 40% of sites, and Emiliani model performs well in 10% of sites for 60 minutes to one minute rain rate conversion. Lavergnat & Gole model performs well in 50% of sites, Chebil & Rahman model perform well in 40% of sites, and Joo model performs well in 10% of sites for 30 minutes to one minute rain rate conversion. Lavergnat & Gole model and Moupfouma model performs well in 50% of sites for 10 minutes to one minute rain rate conversion. Due to no single model can perform well to ten stations, therefore developing various integration time to one minute rain rate conversion in Malaysia is necessary. Curve fitting method has been used to optimize the parameters which fit to Malaysia climate. In the result, polynomial second order model has been proposed as the best-fit model in Malaysia. The validation is done to assess the performance of polynomial second order parameters. The percentage of error of proposed model is less than 12% and the root mean square error (RMSE) which predicted by proposed model is less than 10 mm/h for 60 minutes, 30 minutes and 10 minutes to one minute conversion. The validation data shows the RMSE result is more consistence. The proposed model gives significant improvement on variation error rate in Malaysia.,Ph.D. | |
| dc.language.iso | eng | |
| dc.publisher | UKM, Bangi | |
| dc.relation | Faculty of Engineering and Built Environment / Fakulti Kejuruteraan dan Alam Bina | |
| dc.rights | UKM | |
| dc.subject | Universiti Kebangsaan Malaysia -- Dissertations | |
| dc.title | Developing various integration time rain rate to one-minute rain rate conversion model in Malaysia | |
| dc.type | Theses | |
| dc.format.pages | 148 | |
| dc.identifier.barcode | 005672(2021)(PL2) | |
| Appears in Collections: | Faculty of Engineering and Built Environment / Fakulti Kejuruteraan dan Alam Bina | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| ukmvital_123016+SOURCE1+SOURCE1.0.PDF Restricted Access | 570.85 kB | Adobe PDF |  View/Open |
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