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Is It Possible to Predict the Concentration of Natural Volatile Organic Compounds in Forest Atmosphere?

Author

Listed:
  • Geonwoo Kim

    (Forest Welfare Division, Forest Policy and Economics Department, National Institute of Forest Science, Seoul 02455, Korea)

  • Sujin Park

    (Forest Welfare Division, Forest Policy and Economics Department, National Institute of Forest Science, Seoul 02455, Korea
    Department of Environmental Health Sciences, Graduate School of Public Health, Seoul National University, Seoul 08826, Korea)

  • Dooahn Kwak

    (Forest Welfare Division, Forest Policy and Economics Department, National Institute of Forest Science, Seoul 02455, Korea)

Abstract

We aimed to understand the correlation between the microclimate environment within a forest and NVOC (Natural volatile organic compounds) concentration and the concentration of NVOC more efficiently through the prediction model method. In this study, 380 samples were collected and analyzed to examine the characteristics of NVOC emitted from a birch forest. NVOC were analyzed in May and July 2019, and measurements were performed at three different locations. Using a pump and stainless-steel tube filled with Tenax-TA, 9 L of NVOC was collected at a speed of 150 mL/h. The analysis of NVOC composition in the forest showed that it comprised α-pinene 27% and camphor 10%. Evaluation of the correlation between the NVOC concentration and the microclimate in the forests showed that the concentration increased markedly with the increase in temperature and humidity, and the concentration decreased with the increase in wind velocity. Nineteen substances in total including α-pinene and β-pinene were detected at high concentrations during the sunset. The results of the study site analysis presented a significant regression model with a R 2 as high as 60.1%, confirming that the regression model of the concentration prediction of NVOC in birch forest has significant explanatory power.

Suggested Citation

  • Geonwoo Kim & Sujin Park & Dooahn Kwak, 2020. "Is It Possible to Predict the Concentration of Natural Volatile Organic Compounds in Forest Atmosphere?," IJERPH, MDPI, vol. 17(21), pages 1-12, October.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:21:p:7875-:d:435497
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    References listed on IDEAS

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    1. Kyung-Sook Bang & Sungjae Kim & Min Kyung Song & Kyung Im Kang & Yeaseul Jeong, 2018. "The Effects of a Health Promotion Program Using Urban Forests and Nursing Student Mentors on the Perceived and Psychological Health of Elementary School Children in Vulnerable Populations," IJERPH, MDPI, vol. 15(9), pages 1-11, September.
    2. Chorong Song & Harumi Ikei & Bum-Jin Park & Juyoung Lee & Takahide Kagawa & Yoshifumi Miyazaki, 2018. "Psychological Benefits of Walking through Forest Areas," IJERPH, MDPI, vol. 15(12), pages 1-10, December.
    3. Dawou Joung & Bohwi Lee & Jeongdo Lee & Changjun Lee & Seungmo Koo & Changwon Park & Sebin Kim & Takahide Kagawa & Bum-Jin Park, 2020. "Measures to Promote Rural Healthcare Tourism with a Scientific Evidence-Based Approach," IJERPH, MDPI, vol. 17(9), pages 1-13, May.
    4. Dawou Joung & Geonwoo Kim & Yoonho Choi & HyoJin Lim & Soonjoo Park & Jong-Min Woo & Bum-Jin Park, 2015. "The Prefrontal Cortex Activity and Psychological Effects of Viewing Forest Landscapes in Autumn Season," IJERPH, MDPI, vol. 12(7), pages 1-9, June.
    5. Hiroko Ochiai & Harumi Ikei & Chorong Song & Maiko Kobayashi & Ako Takamatsu & Takashi Miura & Takahide Kagawa & Qing Li & Shigeyoshi Kumeda & Michiko Imai & Yoshifumi Miyazaki, 2015. "Physiological and Psychological Effects of Forest Therapy on Middle-Aged Males with High-Normal Blood Pressure," IJERPH, MDPI, vol. 12(3), pages 1-11, February.
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    Cited by:

    1. Sujin Park & Eunsoo Kim & Geonwoo Kim & Soojin Kim & Yeji Choi & Domyung Paek, 2022. "What Activities in Forests Are Beneficial for Human Health? A Systematic Review," IJERPH, MDPI, vol. 19(5), pages 1-29, February.

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