Journal of Environmental Health Sciences (한국환경보건학회지)

Korean Society of Environmental Health (한국환경보건학회)
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Survey of Emission Characteristics and Weather Factors for Application in Prediction Modeling for Phytoncide Weather Services

피톤치드 기상서비스 예측 모델링 적용을 위한 발생특성 및 기상인자 조사

  • Received : 2020.10.07
  • Accepted : 2020.10.26
  • Published : 2020.12.31
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Abstract

Objectives: This study was performed to find phytoncide (monoterpene) emission characteristics and weather factors for application in prediction modeling for phytoncide weather services. Methods: From 2017 to 2019, one coniferous forest and one deciduous forest were selected to investigate the monthly emission characteristics and identify the correlation with weather factors. Research items were analyzed for 11 species known to be emitting the most monoterpenes. Results: Phytoncide (monoterpene) began to increase in April when trees were activated and continued to be released until November. The concentration range of monoterpene in deciduous forests was 0.0 to 427.4 ng/S㎥ and coniferous forests was 0.0 to 1,776.8 ng/S㎥. Phytoncide emission concentrations in deciduous forests were 20 to 90 percent of those in coniferous forests, and averaged 39 percent overall. The correlation between monoterpene and temperature was very close, with 0.835 for the broadleaf forest and 0.875 for the coniferous forest. Monoterpene and humidity were found to be 0.731 for the broadleaf forest and 0.681 for the coniferous forest, while wind speed showed a negative correlation of -0.482 and -0.424, respectively. Regression of temperature with phytoncide showed that the coefficient of determination (r2) was highly correlated with 0.75 for the broadleaf forest and 0.80 for the coniferous forest. Not only is phytoncide concentration affected by temperature, humidity, and wind speed, but also rainfall over the preceeding one to three days. Nearby rainfall on the day of sampling was found to have a direct effect on the physiological activities of the trees. Conclusions: Overall, if the values of monoterpene and temperature, humidity, and wind speed are used as basic factors, and rainfall from one to three days previous is replaced with complementary values, it is believed that the numerical analysis and modeling of daily and monthly phytoncide will be possible.

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References

  1. Kim KW. Theoretical study of characteristics of therapeutic elementsand application to forest therapy. Journal of Korean Society for People, Plants and Environment. 2006; 9(4): 111-123.
  2. Shin WS, Yeoun PS, Lee JH, Kim SK, Joo JS. The relationships among forest experience, anxiety and depression. The Journal of Korean Institute of Forest Recreation. 2007; 11(1): 27-32.
  3. Shin WS, Kim SK, Yeoun PS, Lee JH. Effects of phytoncides on psychophysical responses. The Journal of Korean Institute of Forest Recreation. 2010; 14(2): 85-91. https://doi.org/10.34272/forest.2010.14.2.011
  4. Lee YK, Woo JS, Choi SR, Shin ES. Comparison of phytoncide (monoterpene) concentration by type of recreational forest. Journal of Environmental Health Sciences. 2015; 41(4): 241-248.
  5. Lee SW, Park DG, Kim KY. Characteristics of phytoncide production at the recreation forest in the Chungbuk area. Korean Society of Environmental Impact Assessment. 2012; 21(2): 279-287.
  6. Na KJ, Kang HY, Oh JH, Choi IG, Yun YW, Jeung EB. The sedative effect of stress by essential oils purifed from softwoods. Korean Association for Laboratory Animal Science. 1998; 14(1): 93-96.
  7. Kesselmeier J, Bode K, Schafer L, Schemeske G, Wolf A, Brancaleoni E, et al. Simultaneous field measurements of terpene and isoprene emissions from two dominant mediterranean oak species in relation to a north america species. Atmospheric Environment. 1998; 32(11): 1947-1953. https://doi.org/10.1016/S1352-2310(97)00500-1
  8. Pio CA, Valente AA. Atmospheric fluxes and concentrations of monoterpenes in resin-tapped pine forest. Atmospheric Environment. 1998; 32(4): 683-691. https://doi.org/10.1016/S1352-2310(97)00327-0
  9. Ji DY, Kim SY, Han JS. A study on the comparison to source profile of the major terpenes from pine tree and korean pine tree. Journal of Korean Society for Atmospheric Environment. 2002; 18(6): 515-525.
  10. Kim JC, Kim KJ, Hong JH, Sunwoo Y, Lim SG. A comparison study on isoprene emission rates from oak trees in summer. Journal of Korean Society for Atmospheric Environment. 2004; 20(1): 111-118.
  11. Kim HC, Oh SS, Song YC, Kim YJ. Distribution characteristics of phytoncide in Jeolmul natural recreation forest of Jeju. Journal of Naturopathy. 2013; 2(2): 89-98.
  12. Kim HC, Oh SS, Song YC, Kim YJ. Distribution characteristics of phytoncide in Seogwipo natural recreation forest. Journal of Naturopathy. 2013; 2(2): 99-107.
  13. Lindskog A, Potter A. Terpene emission and ozone stress. Chemosphere. 1995; 30(6): 1171-1181. https://doi.org/10.1016/0045-6535(95)00008-V
  14. Oh GY, Seo YG, Pakr GH, Kim IS, Bae JS, Park HY, et al. The characteristics of monoterpene and air quality in ambient air at forested road in Jeollanam-do. Journal of Korean Forest Society. 2012; 101(2): 195-202.
  15. Jo YS, Park SJ, Jeong MA, Lee JH, Yoo RH, Kim CM, et al. Analysis of phytoncide concentration and micrometeorology factors by pinus koraiensis stand density. Journal of Environmental Health Sciences. 2018; 44(3): 205-216.
  16. Hyun GW, Kim JB, Kim BU, Hong YG, Choi JH, Ghoi JC, et al. A phytoncide study on the winter olympics venue and a nearby famous forest roads. Gangwon-do Health and Environment Research Institute Report. 2017; 28: 243-254.
  17. Hyun GW, Kim BU, Hong YG, Choi JH, Kim JC, Choi JC, et al. Phytoncide maps of the famous forest roads in Pyeongchang winter olympics venue. Gangwon-do Health and Environment Research Institute Report. 2018; 29: 53-65.
  18. Gangwon Regional Meteorological Administration. Development of weather service for forest recreation in Gangwon-do. Gangwon Regional Meteorological Administration. 2019.
  19. Lerdau M, Keller M. Controls on isoprene emission from trees in a subtropical dry forest, plant. Cell and environment. 1997; 20: 569-578. https://doi.org/10.1111/j.1365-3040.1997.00075.x
  20. Guenther A. Monson R, Fall R. Isoprene and monoterpene emission rate variability: observations with eucalyptus and emission rate algorithm development. Journal of Geophysical Research. 1991; 96: 10799-10808. https://doi.org/10.1029/91JD00960
  21. Danelia S, Lazaro V. Cremades, Diurnal and seasonal variation of monoterpene emission rates for two typical mediterranean species (pinus pinea and quercus ilex) form field measurements relationship with temperature and PAR. Amospheric Environment. 2001; 35: 4419-4431. https://doi.org/10.1016/S1352-2310(01)00255-2
  22. Lamb B, Guenther A, Gay D, Westber H. A national invent ory of biogenic hydrocarbon emissions, Atmospheric Environment. 1987; 21: 1695-1705. https://doi.org/10.1016/0004-6981(87)90108-9
  23. Lerdau M, Guenther A. Monson R. Plant production and emission of volatile organic compounds. Bioscience. 1997; 47(6): 373-383. https://doi.org/10.2307/1313152