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Relationship between airborne pollen concentrations and meteorological parameters in Ulsan, Korea
Relationship between airborne pollen concentrations and meteorological parameters in Ulsan, Korea
Journal of Ecology and Environment. 2013. Mar, 36(1): 65-71
Copyright ©2013, The Ecological Society of Korea
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License(http://creativecommons. org/licenses/by-nc/3.0/)which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
  • Received : February 16, 2013
  • Accepted : March 08, 2013
  • Published : March 27, 2013
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About the Authors
In-Yong Jung
Department of Biological Sciences, University of Ulsan, Ulsan 689-749, Korea
Kee-Ryong Choi
Department of Biological Sciences, University of Ulsan, Ulsan 689-749, Korea
pollen@ulsan.ac.kr

Abstract
The concentration of airborne pollen is related to meteorological parameters. The main purpose of this study was to determine the correlation between airborne pollen and meteorological parameters in Ulsan based on sampling from 2010 to 2011. The primary factors of interest were differences in the pollen scattering start date, end date, and peak date, and the fluctuations in pollen concentration. The meteorological parameters that affected the start and peak dates of the pollen season were as follows. For Pinus and Alnus , the dates were correlated with sunshine and an increase in temperature, whereas for Quercus , the dates were correlated with increasing temperature. During the pollen season, Alnus peaked when the temperature was highest and Pinus peaked when the relative humidity was lowest. The concentration of airborne pollen was correlated with meteorological parameters during the sampling period as follows: Pinus, Alnus , and Humulus pollen concentrations were positively correlated with increasing temperature and negatively correlated with rainfall and relative humidity; Humulus pollen concentration was positively correlated with sunshine; and Quercus and Humulus pollen concentrations were positively correlated with wind speed.
Keywords
INTRODUCTION
Many plant species have anemophilous flowers, with their pollen being carried primarily on air currents. These anemophilous flowers may not always be readily distinguished from entomophilous flowers whose pollen is carried primarily by insects. The anemophilous pollens are biological particles transported within aerosols (Ogend et al. 1974). The anemophilous pollens are related with some of allergic diseases and especially has been included asthma-allergic lung disease, hay fever-allergic rhinitis and allergies of the eyes and skin (Choi 2011). A environmental material such as pollen in aerosols can trigger allergic symptoms in susceptible humans (D’Amato et al. 2007). It is necessary to investigate pollen types, concentrations, and dispersal periods to determine strategies that could potentially decrease the direct impact of airborne pollen on pollinosis patients. Many countries are accumulating information regarding airborne pollen using the pollen calendar, which is a compilation of monthly data on airborne pollen scatter of major species using statistical analysis. Such information is also made available to the local public data (Lewis et al. 1983, Anderson 1985, Prentics 1985). Airborne pollen scattering, type, and concentration vary from region to region locations (Knok 1979, McDonald 1980), and they are accordingly interrelated with local meteorological parameters such as wind speed, wind direction, air temperature, humidity, and precipitation (Dimitrios et al. 2004) as well as local vegetation (Garcia et al. 2002, Stella 2000). Therefore, local environmental factors that may affect airborne pollen, including local meteorological parameters and vegetation, should be assessed (Boral et al. 2004).
Many studies on airborne pollen in South Korea, have focused on pollen density, size, shape, and scattering patterns, although a few studies have emphasized the relationship between environmental factors and airborne pollen distribution (Chang and Kim 1985, Oh 2009). Continuing to study airborne pollen will be most beneficial to preventive medicine. Therefore, it is imperative to identify which reflects the characteristics of each region for the correlation between meteorological elements and airborne pollen. The purpose of this study was to classify the airborne pollen in Ulsan, and to describe the relationship between meteorological parameters and airborne pollen dispersal. In order to achieve this, we analyzed the pollen scattering period, peak date and concentration of pollen of tree pollen ( Pinus, Quercus , and Alnus ) and herbaceous pollen ( Humulus ).
MATERIALS AND METHODS
- Study area
Forest areas are distributed over approximately 64% (68134 ha) of the total area of Ulsan. Pinus communities comprise over 70% of the overall forest area, with Pinus densiflora Siebold & Zucc. as the dominant species. Quercus communities occupy nearly 30% of the forest areas. Riparian vegetation such as Miscanthus sinensis var. purpurascens (Andersson 1985) Rendle and Phragmites communis TRIN is found along the major perennial streams in Ulsan (Choi 2009) (including the Taehwa River and Dongcheon Stream, cf. Fig. 1 ).
The sampling site for airborne pollen was located in an urban area of Ulsan (35°33′11″N, 129°21′22″E; altitude 43 m). Although the sampling site is in an urbanized area, it in proximity to the forested areas and the rivers of Ulsan. The sampling station is 3.4 km from the Ulsan Regional Meteorological Station.
- Sampling methods
Durham samplers were used to collect airborne pollen grains (Durham 1946) from January 1, 2010 to December 31, 2011. Two horizontal 23 cm-diameter circular disks were placed 7.6 cm apart. A mount for a slide glass was placed between the two disks, 2.5 cm below their lower end. The entire apparatus was positioned 1.5 m above the
Lager Image
Sampling station (Myeong chon elementary school), Meteorological station and vegetation of Ulsan.
ground. The installation was such that it was in an open area away from the air handling unit and in a position that allowed for regular exchange of the slide glass. Vaseline was applied to the surface of the slide glass (76 × 26 mm), which was then installed for 24 hr on the sampler. The slide glass was exchanged daily at 09:00. In instances when the slide glass was soaked by precipitation, it was allowed to try naturally. For preservation, the slide glass was stained and sealed using the GV method (gentian violet glycerin jelly). An 18 × 18 mm cover glass was used to protect the sample. Collected airborne pollen was measured and then compared with measurements of airborne pollen and a standard of pollen information collected by the Japan Allergy Foundation (Sahashi et al. 1993). Pollen grains were then measured as the number of grains per cm2 and rounded up to 1 decimal point. The start date was designated as the average of the first two consecutive days with pollen grain observations greater than 1 grains/ cm2. The end date was determined to be one day prior to three consecutive days without pollen grains being observed during the main season.
In order to discern their relationship with airborne pollen scattering, seven meteorological parameters were monitored: average temperature, maximum temperature, minimum temperature, wind speed, maximum wind speed, relative humidity, precipitation, and sunshine. Data was collected at the Ulsan Regional Meteorological Station (located at 35°33′46″N, 129°19′34″E; altitude 34.7 m) using an anemometer, thermometer, and rain gauges set at 12.4 m, 1.7 m, and 0.6 m above ground level.
- Statistical analysis
We were investigated the correlation between seasonal pollen concentration (i.e. start date and peak date) and 8 meteorological parameters. Especially, we focused on several pollen species that had clear seasonal pollen concentration and high concentration in studied sites. Spearman rank correlation coefficient was used to determine the relationship between the seven meteorological parameters and the pollination start and end dates. All statistical analyses were performed using the PASW Statistics 18 software (18.0.0).
RESULTS
- Meteorological parameters and pollen monitoring
The meteorological parameters in the study area were not statistically different between the two years of measurement. The average annual temperatures were slightly higher in 2010 than in 2011 by 0.3 ℃. Although annual precipitation was not significantly different between 2010 and 2011, spring rainfall was higher in 2010 than in 2011 by 132 mm. Maximum temperature in 2011 was higher by 4.1 ℃ than in 2010 and the lowest temperature in 2011 was also lower than that in 2010 by 0.3 ℃. Although the average relative humidity was not significantly different, the monthly relative humidity was 20.8 % higher in March 2010 than in March 2011. Sunshine was 149.2 hr longer in March 2011 than in March 2010 ( Fig. 2 ).
Pollen from 36 genera belonging to 41 families were recorded and identified during the 2-year study. The total number of pollen grains recorded in 2010 was 13152.9 grains/cm 2 and 11542.4 grains/cm 2 in 2011. Pollen was recorded from 29 genera belonging to 23 families in 2010 and from 26 genera belonging to 21 families in 2011. Of these, 15 families (12 genera) and 14 families (12 genera) belonging to herbaceous plants were identified in 2010 and 2011, respectively. Pinus, Alnus, Quercus , and Humulus were the dominant pollen observed at the study site. In 2010, Pinus pollen was recorded in the highest concentration (72.1 % of the total pollen collected), followed by Quercus (14.5 %), Humulus (3.1 %), and Alnus (2.5 %). In 2011, Pinus pollen was again predominant at 62.6 % of the total pollen collected, followed by Quercus (15.6 %), Alnus (4.4 %), and Humulus (3.2 %) ( Fig. 3 ). The remaining 20 taxa contributed less than 1% each to the total number of pollen grains (cf. Fig. 3 ).
Lager Image
Meteorological parameters during the study period: ⓐ maximum/ minimum temperature, ⓑ sunshine/wind speed, ⓒ precipitation/ mean temperature and ⓓ relative humidity.
- Relationships between meteorological parameters and pollen distribution
The start date of the pollen season of Pinus was late April. The Pinus pollen peak can vary from year to year, but it usually is most noticeable for approximately 1–2 weeks, beginning as early as mid-March and ending as late as late July. The start date of the Pinus pollen season was earlier by 7 days in 2011 than in 2010 and the end date was earlier by 19 days in 2011 than in 2010. The total pollen grains collected was 2237 grains/cm 2 fewer in 2010 than in 2011. The Quercus pollen start date was mid- April in 2011 and late April in 2010. The Quercus pollen season peaked during late April, and ended in late May in 2011and mid-June in 2010. The Quercus pollen season of 2011 was 14 days longer than that in 2010. The total pollen concentration in 2010 was 1521 grains/cm 2 fewer than in 2011 (cf. Table 1 ).
The start date of the pollen season of Alnus was late February in 2010 and mid-March in 2011. The peak date of this community was recorded as late March in 2010 and early April in 2011. The total pollen was 178 grains/cm 2
Lager Image
Percentage contribution of pollen grains by genus for 2010 and 2011.
Deposition time, peak time, and amount of pollen
Lager Image
Deposition time, peak time, and amount of pollen
Significant correlation coefficients (Spearman's R) for daily pollen concentration and meteorological parametersThe values of Spearman correlation coefficient ( r ), the probability ( p ) that r=0, and the number of data points (n) are given.*p<0.05,**p<0.01,***p<0.0001.
Lager Image
Significant correlation coefficients (Spearman's R) for daily pollen concentration and meteorological parameters The values of Spearman correlation coefficient ( r ), the probability ( p ) that r=0, and the number of data points (n) are given. *p <0.05,**p <0.01,***p <0.0001.
Lager Image
Start and Peak dates for Pinus and the relationship between meteorological parameters (S: start date, P: peak date, Ss: sunshine, Rh: Relative humidity, MeanT: mean temperature).
Lager Image
Start and Peak dates for Quercus and the relationship between meteorological parameters (S: start date, P: peak date, Rh: Relative humidity, MaxT: maximum temperature, MeanT: mean temperature).
Lager Image
Start and Peak dates for Alnus and the relationship between meteorological parameters (S: start date, P: peak date, MaxT: maximum temperature, Ss: sunshine, MinT: minimum temperature).
greater in 2011 than in 2010. The start date of the Humulus pollen season was later than that for the other communities ( Pinus, Quercus , and Alnus ). Humulus pollen started scattering in late August in 2011 and early September in 2010. The end date of the Humulus pollen season was early October and early September, respectively. The peak date of this community differed greatly between years. The pollen season of Humulus was longer in 2010 than in 2011, and the total number of pollen grains was also greater by 52 grains/cm 2 . The airborne pollen concentration was significantly affected by meteorological parameters. The pollen season and concentration contributed by tree communities (e.g., Pinus and Alnus ) were correlated with an increase in temperature ( Table 2 ). In contrast, the pollen season of the Quercus community was correlated with wind (measured as the daily maximum wind speed and average wind speed). The pollen season of Humulus , an herbaceous species, was strongly affected by temperature. Relative humidity significantly affected the entire pollen community Table 2 ). The start day of the Pinus, Quercus , and Humulus pollen seasons was correlated with an increase of the average temperature ( Figs. 4 , 5 and 7 ). However, the start day of the Alnus pollen season was affected by both the maximum and minimum temperatures ( Fig. 6 ). The metrological parameters that strongly
Lager Image
Start and Peak dates for Humulus and the relationship between meteorological parameters(S: start date, P: peak date, MeanT: mean temperature, MaxT: maximum temperature).
affected to the peak date of pollen were not clear but the peak date of Alnus pollen were was marginally related to sunshine ( Fig. 6 ).
DISCUSSION
This study assessed the types and concentrations of airborne pollen grains in Ulsan. Pinus and Quercus pollen grains were the most prominent at the study site. These results reflect the vegetation of the region, in which Pinus and Quercus communities are dominant (Choi et al. 2011). That a particularly high Pinus pollen concentration was recorded is probably attributable to pollen grain morphology— Pinus pollen has two air sacs that can assist pollen scatter. The lower Humulus pollen concentration when compared to the tree pollen ( Pinus, Quercus , and Alnus ) might be due to the distribution of Humulus in Ulsan. Humulus populations have limited distribution because these plants tend to inhabit bare land or dry grassland within the urbanized area.
Among the collected airborne pollens in Ulsan, the start date and peak date of Quercus, Ulmus+Zelkova, Carpinus, Alnus , Cupressaceae, Humulus and Gramineae were clearly identified. These species had strong correlation to meteorological parameters, particularly temperature parameters. However Ulmus+Zelkova, Carpinus , Cupressaceae, Gramineae that had low concentration in less than 3 % had not significant relationship between their seasonal pollen concentration and meteorological parameters. Falagiani (1990) also discussed that high temperature and dry air (with low humidity) were the factors having the greatest affect the pollen concentration. The pollen concentration and season is generally correlated with plant phenology (flowering, fruiting, and seed dispersion). Plant phenology is influenced by climatic conditions, particularly rainfall in the spring of the previous year and temperature in the spring of the current year. Murayama and Tonouchi (2007) emphasized the importance of climate conditions in the previous year. High precipitation in the previous year negatively affected flowering. In contrast, high temperature in the spring of the current year advanced the flowering and seed dispersion date. The effects of relative humidity varied between tree pollen and herbaceous pollen. High relative humidity reduced the tree pollen concentration but increased the herbaceous pollen concentration. This pattern is associated with the differences in pollen season between tree pollen ( Pinus, Quercus , and Alnus ) and herbaceous pollen ( Humulus ) (Knox 1979). During the tree pollen season (from early spring to early summer), rainfall and humidity are relatively higher than in the herbaceous pollen season (autumn), which is the dry season in South Korea.
Pinus, Quercus, Alnus , and Humulus pollen, which are the most prominent pollen types in Ulsan, are the main pollens types associated with pollenosis in several cities in South Korea (Oh et al. 2009). In addition, the concentration of pollen in Ulsan is relatively higher than in other cities such as Gwangju and Gangneung (Oh 2009). The ability to forecast pollen concentration might be useful in developing methods for preventing pollenosis. In order to forecast pollen concentration, various modeling methods should be adopted based on local pollen data (pollen type, size, concentration, and vegetation type) and their relationship with metrological parameters (Jose et al. 2007, Robert and Joseph 2005). Specifically, metrological parameters associated with wind (wind direction, speed, seasonal wind, etc.) might be most the important factors affecting pollen dispersion and local pollen concentration (Athanasios 2005, Jane and Jean 1991, Silva 2000), although this study did not detect a significant relationship between pollen concentration and wind parameters.
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