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The Interaction of Physical Properties of Seawater via Statistical Approach

机译:海水物理特性通过统计方法的相互作用

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It is of importance to determine the relationships between physical parameters in marine ecology. Model and expert opinion are needed for exploration of the form of relationship between two parameters due to the complexity of the ecosystems. These need justification with observed data over a particular periods. Novel statistical techniques such as nonparametric regression is presented to investigate the ecological relationships. These are achieved by demonstrating the features of pH, salinity and conductivity at in Straits of Johor. The monthly data measurements from 2004 until 2013 at a chosen sampling location are examined. Testing for no-effect followed by linearity testing for the relationships between salinity and pH; conductivity and pH, and conductivity and salinity are carried out, with the ecological objectives of investigating the evidence of changes in each of the above physical parameters. The findings reveal the appropriateness of smooth function to explain the variation of pH in response to the changes in salinity whilst the changes in conductivity with regards to different concentrations of salinity could be modelled parametrically. The analysis highlights the importance of both parametric and nonparametric models for assessing ecological response to environmental change in seawater.
机译:确定海洋生态学中物理参数之间的关系是重要的。由于生态系统的复杂性,需要探索两个参数之间的关系形式的模型和专家意见。这些需要在特定时段内与观察到的数据进行理由。提出了新的统计技术,例如非参数回归以研究生态关系。通过证明柔佛州海峡的pH,盐度和电导率的特征来实现这些。检查了2004年的每月数据测量到2013年在选择的采样位置。无效应测试,然后是盐度与pH之间的关系的线性测试;进行电导率和pH,以及电导率和盐度,具有研究每个上述物理参数中的变化的证据的生态目标。该发现揭示了光滑功能的适当性,以响应于盐度的变化来解释pH的变化,同时可以参数地建模对不同浓度的盐度的导电性的变化。分析突出了参数和非参数模型的重要性,以评估海水环境变化的生态反应。

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