PURPOSE:The pollen calendar is the simplest forecasting method for pollen concentrations. As pollen concentrations are liable to seasonal variations due to alterations in climate and land-use, it is necessary to update the pollen calendar using recent data. To attenuate the impact of considerable temporal and spatial variability in pollen concentrations on the pollen calendar, it is essential to employ a new methodology for its creation. METHODS:A pollen calendar was produced in Korea using data from recent observations, and a new method for creating the calendar was proposed, considering both risk levels and temporal resolution of pollen concentrations. A probability distribution was used for smoothing concentrations and determining risk levels. Airborne pollen grains were collected between 2007 and 2017 at 8 stations; 13 allergenic pollens, including those of alder, Japanese cedar, birch, hazelnut, oak, elm, pine, ginkgo, chestnut, grasses, ragweed, mugwort and Japanese hop, were identified from the collected grains. RESULTS:The concentrations of each pollen depend on locations and seasons due to large variability in species distribution and their environmental condition. In the descending order of concentration, pine, oak and Japanese hop pollens were found to be the most common in Korea. The pollen concentrations were high in spring and autumn, and those of oak and Japanese hop were probably the most common cause of allergy symptoms in spring and autumn, respectively. High Japanese cedar pollen counts were observed in Jeju, while moderate concentrations were in Jeonju, Gwangju and Busan. CONCLUSIONS:A new methodology for the creation of a pollen calendar was developed to attenuate the impact of large temporal and spatial variability in pollen concentrations. This revised calendar should be available to the public and allergic patients to prevent aggravation of pollen allergy.

译文

目的:花粉日历是最简单的花粉浓度预测方法。由于气候和土地利用的变化,花粉浓度容易出现季节变化,因此有必要使用最新数据更新花粉日历。为了减弱花粉浓度在时间和空间上的明显时空变化对花粉日历的影响,必须采用一种新的创建方法。
方法:使用最近的观测数据在韩国制作了花粉日历,并考虑了风险水平和花粉浓度的时间分辨率,提出了一种新的日历创建方法。概率分布用于平滑浓度和确定风险水平。在2007年至2017年之间,从8个站点收集了空气传播的花粉粒;从收集到的谷物中鉴定出13种过敏花粉,包括al木,日本雪松,桦木,榛子,橡树,榆树,松树,银杏,栗子,草,豚草,艾蒿和日本蛇麻草。
结果:由于物种分布及其环境条件的巨大差异,每个花粉的浓度取决于位置和季节。按浓度从高到低的顺序,发现松树,橡树和日本蛇麻花粉是韩国最常见的花粉。春季和秋季的花粉浓度很高,而橡木和日本啤酒花的花粉浓度可能分别是春季和秋季的过敏症状的最常见原因。济州的日本雪松花粉数量很高,而全州,光州和釜山的雪松花粉含量中等。
结论:开发了一种新的创建花粉日历的方法,以减轻花粉浓度在时间和空间上的较大变化的影响。修订后的日历应向公众和过敏患者开放,以防止花粉过敏加剧。

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