Assessing the responses of physical parameters in ocean via statistical approach

Firdaus Mohamad Hamzah, Othman Jaafar, Mohd Kamal Mohd Nawawi, Mohd Tahir Ismail, Norazman Arbin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

It is essential to assess a physical parameter in response to the changes in other physical parameter. Exploration on the type of relationship between two physical parameters depends on models and expert view due to the complexity of the ecosystems. These need validation with actual data over a certain periods. Innovative statistical approaches, particularly the nonparametric regression is presented to investigate the ecological relationships. These are achieved by demonstrating the features of salinity, conductivity and temperature at a sampling point in Selat Tebrau. Observed data monitored for 10 years from 2004-2013 are examined. Testing for no-effect and linearity for salinity and temperature; log conductivity and temperature, and log conductivity and salinity, with the ecological objectives of investigating the evidence of changes in each of the above physical parameter. The results show the appropriateness of smooth function to explain the variation of salinity in response to the changes in temperature whilst a linear model of log conductivity on salinity is best fitted. The analysis highlights the importance of both parametric and nonparametric regression models for assessing complex ecological response to environmental change in ocean.

Original languageEnglish
Title of host publicationAIP Conference Proceedings
PublisherAmerican Institute of Physics Inc.
Pages551-557
Number of pages7
Volume1635
ISBN (Print)9780735412743
DOIs
Publication statusPublished - 2014
Event3rd International Conference on Quantitative Sciences and Its Applications: Fostering Innovation, Streamlining Development, ICOQSIA 2014 - Langkawi, Kedah
Duration: 12 Aug 201414 Aug 2014

Other

Other3rd International Conference on Quantitative Sciences and Its Applications: Fostering Innovation, Streamlining Development, ICOQSIA 2014
CityLangkawi, Kedah
Period12/8/1414/8/14

Fingerprint

salinity
oceans
conductivity
regression analysis
temperature
ecosystems
linearity
sampling

Keywords

  • climate change
  • Nonparametric regression model
  • ocean
  • physical parameter

ASJC Scopus subject areas

  • Physics and Astronomy(all)

Cite this

Mohamad Hamzah, F., Jaafar, O., Nawawi, M. K. M., Ismail, M. T., & Arbin, N. (2014). Assessing the responses of physical parameters in ocean via statistical approach. In AIP Conference Proceedings (Vol. 1635, pp. 551-557). American Institute of Physics Inc.. https://doi.org/10.1063/1.4903636

Assessing the responses of physical parameters in ocean via statistical approach. / Mohamad Hamzah, Firdaus; Jaafar, Othman; Nawawi, Mohd Kamal Mohd; Ismail, Mohd Tahir; Arbin, Norazman.

AIP Conference Proceedings. Vol. 1635 American Institute of Physics Inc., 2014. p. 551-557.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Mohamad Hamzah, F, Jaafar, O, Nawawi, MKM, Ismail, MT & Arbin, N 2014, Assessing the responses of physical parameters in ocean via statistical approach. in AIP Conference Proceedings. vol. 1635, American Institute of Physics Inc., pp. 551-557, 3rd International Conference on Quantitative Sciences and Its Applications: Fostering Innovation, Streamlining Development, ICOQSIA 2014, Langkawi, Kedah, 12/8/14. https://doi.org/10.1063/1.4903636
Mohamad Hamzah F, Jaafar O, Nawawi MKM, Ismail MT, Arbin N. Assessing the responses of physical parameters in ocean via statistical approach. In AIP Conference Proceedings. Vol. 1635. American Institute of Physics Inc. 2014. p. 551-557 https://doi.org/10.1063/1.4903636
Mohamad Hamzah, Firdaus ; Jaafar, Othman ; Nawawi, Mohd Kamal Mohd ; Ismail, Mohd Tahir ; Arbin, Norazman. / Assessing the responses of physical parameters in ocean via statistical approach. AIP Conference Proceedings. Vol. 1635 American Institute of Physics Inc., 2014. pp. 551-557
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