Hart Melissa Anne, de Dear Richard, Beggs Paul John
Department of Physical Geography, Division of Environmental and Life Sciences, Macquarie University, New South Wales, 2109, Australia.
Int J Biometeorol. 2007 Jan;51(3):209-20. doi: 10.1007/s00484-006-0053-8. Epub 2006 Sep 26.
This paper takes an air mass approach to investigating the influence of weather on pollen concentrations in the atmosphere in Sydney, Australia, by producing a synoptic classification of pollen concentrations measured in the Sydney Basin. This synoptic classification has been produced using multivariate statistical techniques including principal component analysis and cluster analysis, to assign days into meteorologically homogenous categories. Surface and upper air meteorological data for warm months (October-March) over a 10-year period were used as input into the statistical analyses. Eleven synoptic categories were found in Sydney during the warm months. Pollen concentrations for the total pollen load and five individual families measured over a 3.5-year period have been investigated for each of the synoptic categories. High pollen concentrations during the warm months in Sydney are found to be influenced by the presence of a region of low surface pressure located to the south of the continent, bringing fast dry westerly gradient winds to Sydney. It is envisaged that these results will be important from a pollen forecast and associated public health perspective.
本文采用气团方法，通过对悉尼盆地测量的花粉浓度进行天气分类，研究天气对澳大利亚悉尼大气中花粉浓度的影响。这种天气分类是使用包括主成分分析和聚类分析在内的多元统计技术生成的，以便将天数分配到气象上同质的类别中。将10年期间温暖月份（10月至3月）的地面和高空气象数据用作统计分析的输入。在温暖月份的悉尼发现了11种天气类别。对每种天气类别研究了在3.5年期间测量的总花粉负荷和五个单独科的花粉浓度。悉尼温暖月份的高花粉浓度被发现受到位于该大陆南部的低地面压力区域的影响，该区域给悉尼带来快速干燥的西风梯度风。从花粉预报和相关公共卫生角度来看，预计这些结果将很重要。
