Modeling seasonal wind pattern from imaging and non-imaging data / Siti Noratiqah Mohamad Deros
Wind speed in Malaysia is categorized as low with annual mean of 3-5 m/s and influenced primarily by four monsoon season; Northeast and Southwest monsoon with two transition period; April and October inter monsoon. Monsoon seasons were classified based on the origin of wind blows that brings unique...
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| Format: | Book Section |
| Language: | English |
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Institute of Graduate Studies, UiTM
2017
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| Online Access: | https://ir.uitm.edu.my/id/eprint/19849/1/ABS_SITI%20NORATIQAH%20MOHAMAD%20DEROS%20TDRA%20VOL%2011%20IGS%2017.pdf |
| _version_ | 1796901083324350464 |
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| author | Mohamad Deros, Siti Noratiqah |
| author_facet | Mohamad Deros, Siti Noratiqah |
| author_sort | Mohamad Deros, Siti Noratiqah |
| collection | UITM |
| description | Wind speed in Malaysia is categorized as low with annual mean of 3-5 m/s and influenced primarily by four monsoon season; Northeast and Southwest monsoon with two transition period; April and October inter monsoon. Monsoon seasons were classified based on the origin of wind blows that brings unique character of wind speed and direction. Current wind study utilized limited wind data to projects wind behavior in wind pattern model generation. Short-term wind data insufficient to explain wind criteria by neglects the seasonality behavior of wind caused by different monsoon season. Wind observation using ground measurement devices such as anemometer and wind vane produced limited spatial resolution data that initiated the used of imagery data with 100-150 km2 swath width. Wind direction extraction using wavelet transform (WT) technique is an example of wind study using imagery data. However, the study focused on high wind speed area due to the limitations of wavelet coefficient derivation that requires minimum 7 m/s wind speed and underestimates streak produced by lower speed. This study attempts to develop wind pattern model by forecasting the seasonal wind speed, determine the seasonal wind speed distribution model and extract wind direction from SAR images acquired at low wind speed area. The study site represents the seasonal and low wind speed condition in Pulau Langkawi, Malaysia… |
| first_indexed | 2024-03-06T01:44:49Z |
| format | Book Section |
| id | oai:ir.uitm.edu.my:19849 |
| institution | Universiti Teknologi MARA |
| language | English |
| last_indexed | 2024-03-06T01:44:49Z |
| publishDate | 2017 |
| publisher | Institute of Graduate Studies, UiTM |
| record_format | dspace |
| spelling | oai:ir.uitm.edu.my:198492018-06-08T01:55:02Z https://ir.uitm.edu.my/id/eprint/19849/ Modeling seasonal wind pattern from imaging and non-imaging data / Siti Noratiqah Mohamad Deros Mohamad Deros, Siti Noratiqah Malaysia Wind speed in Malaysia is categorized as low with annual mean of 3-5 m/s and influenced primarily by four monsoon season; Northeast and Southwest monsoon with two transition period; April and October inter monsoon. Monsoon seasons were classified based on the origin of wind blows that brings unique character of wind speed and direction. Current wind study utilized limited wind data to projects wind behavior in wind pattern model generation. Short-term wind data insufficient to explain wind criteria by neglects the seasonality behavior of wind caused by different monsoon season. Wind observation using ground measurement devices such as anemometer and wind vane produced limited spatial resolution data that initiated the used of imagery data with 100-150 km2 swath width. Wind direction extraction using wavelet transform (WT) technique is an example of wind study using imagery data. However, the study focused on high wind speed area due to the limitations of wavelet coefficient derivation that requires minimum 7 m/s wind speed and underestimates streak produced by lower speed. This study attempts to develop wind pattern model by forecasting the seasonal wind speed, determine the seasonal wind speed distribution model and extract wind direction from SAR images acquired at low wind speed area. The study site represents the seasonal and low wind speed condition in Pulau Langkawi, Malaysia… Institute of Graduate Studies, UiTM 2017 Book Section PeerReviewed text en https://ir.uitm.edu.my/id/eprint/19849/1/ABS_SITI%20NORATIQAH%20MOHAMAD%20DEROS%20TDRA%20VOL%2011%20IGS%2017.pdf Modeling seasonal wind pattern from imaging and non-imaging data / Siti Noratiqah Mohamad Deros. (2017) In: The Doctoral Research Abstracts. IGS Biannual Publication, 11 (11). Institute of Graduate Studies, UiTM, Shah Alam. |
| spellingShingle | Malaysia Mohamad Deros, Siti Noratiqah Modeling seasonal wind pattern from imaging and non-imaging data / Siti Noratiqah Mohamad Deros |
| title | Modeling seasonal wind pattern from imaging and non-imaging data / Siti Noratiqah Mohamad Deros |
| title_full | Modeling seasonal wind pattern from imaging and non-imaging data / Siti Noratiqah Mohamad Deros |
| title_fullStr | Modeling seasonal wind pattern from imaging and non-imaging data / Siti Noratiqah Mohamad Deros |
| title_full_unstemmed | Modeling seasonal wind pattern from imaging and non-imaging data / Siti Noratiqah Mohamad Deros |
| title_short | Modeling seasonal wind pattern from imaging and non-imaging data / Siti Noratiqah Mohamad Deros |
| title_sort | modeling seasonal wind pattern from imaging and non imaging data siti noratiqah mohamad deros |
| topic | Malaysia |
| url | https://ir.uitm.edu.my/id/eprint/19849/1/ABS_SITI%20NORATIQAH%20MOHAMAD%20DEROS%20TDRA%20VOL%2011%20IGS%2017.pdf |
| work_keys_str_mv | AT mohamadderossitinoratiqah modelingseasonalwindpatternfromimagingandnonimagingdatasitinoratiqahmohamadderos |