Seasonal wind pattern model development for coral reef monitoring
Wind pattern model development is vital for coral reef monitoring due to its dependency on sea surface wind. Wind in Malaysia is influenced primarily by four monsoon season; Northeast and Southwest monsoon with two transition period; April and October inter monsoon and categorized as low wind with a...
Published in: | International Journal of Advanced Science and Technology |
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Language: | English |
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Science and Engineering Research Support Society
2019
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Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85081189180&partnerID=40&md5=1d643a32991bab2ba7d31391f42710bf |
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2-s2.0-85081189180 Deros S.N.M.; Din N.M.; Norzeli S.; Asmat A.; Mansor S. Seasonal wind pattern model development for coral reef monitoring 2019 International Journal of Advanced Science and Technology 28 10 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85081189180&partnerID=40&md5=1d643a32991bab2ba7d31391f42710bf Wind pattern model development is vital for coral reef monitoring due to its dependency on sea surface wind. Wind in Malaysia is influenced primarily by four monsoon season; Northeast and Southwest monsoon with two transition period; April and October inter monsoon and categorized as low wind with annual mean speed of 3-5 m/s. Current wind study utilized limited wind data hence neglects the seasonal characteristics of wind behaviour in wind pattern model simulation. In this study, the Mixed-Layer Conveyor (MLC) model was adopted to simulate wind parameters such as wind speed distribution, direction, days in distinct monsoon to derive cumulative wind of distinct season. This can be used to describe wind behaviour of distinct monsoon season on coral reef growth. Result shows that the derived cumulative wind fit with an actual wind data (0.89). The model developed has an ability to derive seasonal wind cumulative productivity data to be used in estimation of the highest wind and lowest wind production. © 2019 SERSC. Science and Engineering Research Support Society 20054238 English Article |
author |
Deros S.N.M.; Din N.M.; Norzeli S.; Asmat A.; Mansor S. |
spellingShingle |
Deros S.N.M.; Din N.M.; Norzeli S.; Asmat A.; Mansor S. Seasonal wind pattern model development for coral reef monitoring |
author_facet |
Deros S.N.M.; Din N.M.; Norzeli S.; Asmat A.; Mansor S. |
author_sort |
Deros S.N.M.; Din N.M.; Norzeli S.; Asmat A.; Mansor S. |
title |
Seasonal wind pattern model development for coral reef monitoring |
title_short |
Seasonal wind pattern model development for coral reef monitoring |
title_full |
Seasonal wind pattern model development for coral reef monitoring |
title_fullStr |
Seasonal wind pattern model development for coral reef monitoring |
title_full_unstemmed |
Seasonal wind pattern model development for coral reef monitoring |
title_sort |
Seasonal wind pattern model development for coral reef monitoring |
publishDate |
2019 |
container_title |
International Journal of Advanced Science and Technology |
container_volume |
28 |
container_issue |
10 |
doi_str_mv |
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url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85081189180&partnerID=40&md5=1d643a32991bab2ba7d31391f42710bf |
description |
Wind pattern model development is vital for coral reef monitoring due to its dependency on sea surface wind. Wind in Malaysia is influenced primarily by four monsoon season; Northeast and Southwest monsoon with two transition period; April and October inter monsoon and categorized as low wind with annual mean speed of 3-5 m/s. Current wind study utilized limited wind data hence neglects the seasonal characteristics of wind behaviour in wind pattern model simulation. In this study, the Mixed-Layer Conveyor (MLC) model was adopted to simulate wind parameters such as wind speed distribution, direction, days in distinct monsoon to derive cumulative wind of distinct season. This can be used to describe wind behaviour of distinct monsoon season on coral reef growth. Result shows that the derived cumulative wind fit with an actual wind data (0.89). The model developed has an ability to derive seasonal wind cumulative productivity data to be used in estimation of the highest wind and lowest wind production. © 2019 SERSC. |
publisher |
Science and Engineering Research Support Society |
issn |
20054238 |
language |
English |
format |
Article |
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record_format |
scopus |
collection |
Scopus |
_version_ |
1809677902707425280 |