본 연구는 피톤치드의 발산 경향을 파악하고자 산음자연휴양림에서 2016년부터 5월부터 2017년 5월까지 피톤치드 포집을 실시하였다. 매월 2회씩 임상별(침엽수림, 활엽수림, 혼효림)로 하루 3회(일출, 남중, 일몰) 포집하였다. NVOCs의 농도 변화를 분석하고, NVOCs와 주변인자(온도, 습도, 풍속, 부유세균, 분진)를 SPSS프로그램을 이용하여 Pearson ...
본 연구는 피톤치드의 발산 경향을 파악하고자 산음자연휴양림에서 2016년부터 5월부터 2017년 5월까지 피톤치드 포집을 실시하였다. 매월 2회씩 임상별(침엽수림, 활엽수림, 혼효림)로 하루 3회(일출, 남중, 일몰) 포집하였다. NVOCs의 농도 변화를 분석하고, NVOCs와 주변인자(온도, 습도, 풍속, 부유세균, 분진)를 SPSS프로그램을 이용하여 Pearson 상관분석을 하였다. 또한, 산음자연휴양림의 α-Pinene 농도를 다른 연구사례와 비교하였다. 그 주요 결과를 요약하면 다음과 같다.
1. 산음자연휴양림의 계절별 NVOCs는 여름, 가을, 봄, 겨울 순으로 높았다. 시간별 NVOCs는 일출, 일몰, 남중 순으로 높게 나타났다. 임상별 NVOCs는 활엽수림, 혼효림, 침엽수림으로 높게 나타났다. 활엽수림과 혼효림이 침엽수림보다 높게 나타난 이유를 4가지 측면에서 생각해 볼 수 있다. 첫째, Farnesene 성분이 활엽수림과 혼효림에서 높게 나타났다. 둘째, 하층식생이 활엽수립과 혼효림에서는 발달했지만 침엽수림에서는 발달하지 않았다. 셋째, 활엽수림과 혼효림은 일사량이 많은 남동사면이고, 침엽수림은 북동사면이다. 넷째, 습도가 침엽수림보다 활엽수림과 혼효림에서 높았다.
2. NVOCs의 주요성분으로 Farnesene, α-Pinene, Caryophyllene oxide, Limonene, Myrcene 순으로 높게 나타났다. α-Pinene은 사계절 모두 꾸준히 검출되었으며 계절별 경향성이 뚜렷하게 나타났다.
3. NVOCs와 주변인자(온도, 습도, 풍속, 부유세균, 분진)간의 상관분석을 실한 결과 온도, 습도, 분진은 높은 상관성을 나타냈고 풍속, 부유세균은 낮은 상관성을 나타냈다.
4. 산음자연휴양림의 계절별 α-Pinene은 여름, 가을, 봄, 겨울 순으로 높았고, 시간별 α-Pinene은 일출, 일몰, 남중 순으로 높았다. 임상별 α-Pinene은 활엽수림, 침엽수림, 혼효림 순으로 높게 나타났다. α-Pinene과 주변인자(온도, 습도, 풍속, 부유세균, 분진)간의 상관관계는NVOCs와 비교하면 습도, 풍속, 부유세균, 분진에서 유의성이 증가하였다. α-Pinene은 온도, 습도, 분진과 높은 상관성이 보였지만 풍속과 부유세균과는 낮은 상관성이 보였다.
5. 산음자연휴양림의 계절별, 시간별α-Pinene 농도를 다른 연구사례와 비교한 결과 대부분 여름에 α-Pinene 농도가 가장 높고, 겨울에 가장 낮았다. 시간별 α-Pinene은 일출, 남중, 일몰 모두 높게 나온 연구사례가 있으며 빈도의 차이가 크지 않았다. 하지만 일출과 일몰처럼 광환경이 크게 변화하는 시간대에 α-Pinene 농도가 높은 경우가 많았다.
6. Kim(2017) 연구에서 기상인자(기온, 습도, 풍속)를 활용한 잣나무림NVOCs 농도 예측모델을 소개했다. 산음자연휴양림에서 측정한 기상인자(기온, 습도, 풍속)를 대입하여 나온 예측값과 실측값을 비교했다. 그 결과 연중 평균NVOCs 실측값은2.078μg/m3이고, 예측값은2.145μg/m3로 차이가 거의 없는 것으로 평가되었다.
주제어: 피톤치드, 테르펜, NVOCs, 발산, 산음자연휴양림, 기상인자
본 연구는 피톤치드의 발산 경향을 파악하고자 산음자연휴양림에서 2016년부터 5월부터 2017년 5월까지 피톤치드 포집을 실시하였다. 매월 2회씩 임상별(침엽수림, 활엽수림, 혼효림)로 하루 3회(일출, 남중, 일몰) 포집하였다. NVOCs의 농도 변화를 분석하고, NVOCs와 주변인자(온도, 습도, 풍속, 부유세균, 분진)를 SPSS프로그램을 이용하여 Pearson 상관분석을 하였다. 또한, 산음자연휴양림의 α-Pinene 농도를 다른 연구사례와 비교하였다. 그 주요 결과를 요약하면 다음과 같다.
1. 산음자연휴양림의 계절별 NVOCs는 여름, 가을, 봄, 겨울 순으로 높았다. 시간별 NVOCs는 일출, 일몰, 남중 순으로 높게 나타났다. 임상별 NVOCs는 활엽수림, 혼효림, 침엽수림으로 높게 나타났다. 활엽수림과 혼효림이 침엽수림보다 높게 나타난 이유를 4가지 측면에서 생각해 볼 수 있다. 첫째, Farnesene 성분이 활엽수림과 혼효림에서 높게 나타났다. 둘째, 하층식생이 활엽수립과 혼효림에서는 발달했지만 침엽수림에서는 발달하지 않았다. 셋째, 활엽수림과 혼효림은 일사량이 많은 남동사면이고, 침엽수림은 북동사면이다. 넷째, 습도가 침엽수림보다 활엽수림과 혼효림에서 높았다.
2. NVOCs의 주요성분으로 Farnesene, α-Pinene, Caryophyllene oxide, Limonene, Myrcene 순으로 높게 나타났다. α-Pinene은 사계절 모두 꾸준히 검출되었으며 계절별 경향성이 뚜렷하게 나타났다.
3. NVOCs와 주변인자(온도, 습도, 풍속, 부유세균, 분진)간의 상관분석을 실한 결과 온도, 습도, 분진은 높은 상관성을 나타냈고 풍속, 부유세균은 낮은 상관성을 나타냈다.
4. 산음자연휴양림의 계절별 α-Pinene은 여름, 가을, 봄, 겨울 순으로 높았고, 시간별 α-Pinene은 일출, 일몰, 남중 순으로 높았다. 임상별 α-Pinene은 활엽수림, 침엽수림, 혼효림 순으로 높게 나타났다. α-Pinene과 주변인자(온도, 습도, 풍속, 부유세균, 분진)간의 상관관계는NVOCs와 비교하면 습도, 풍속, 부유세균, 분진에서 유의성이 증가하였다. α-Pinene은 온도, 습도, 분진과 높은 상관성이 보였지만 풍속과 부유세균과는 낮은 상관성이 보였다.
5. 산음자연휴양림의 계절별, 시간별α-Pinene 농도를 다른 연구사례와 비교한 결과 대부분 여름에 α-Pinene 농도가 가장 높고, 겨울에 가장 낮았다. 시간별 α-Pinene은 일출, 남중, 일몰 모두 높게 나온 연구사례가 있으며 빈도의 차이가 크지 않았다. 하지만 일출과 일몰처럼 광환경이 크게 변화하는 시간대에 α-Pinene 농도가 높은 경우가 많았다.
6. Kim(2017) 연구에서 기상인자(기온, 습도, 풍속)를 활용한 잣나무림NVOCs 농도 예측모델을 소개했다. 산음자연휴양림에서 측정한 기상인자(기온, 습도, 풍속)를 대입하여 나온 예측값과 실측값을 비교했다. 그 결과 연중 평균NVOCs 실측값은2.078μg/m3이고, 예측값은2.145μg/m3로 차이가 거의 없는 것으로 평가되었다.
The aim of this study is to broaden current knowledge of phytoncide(NVOCs) emission and its trend in Saneum recreation forest. NVOCs samples were collected two times per month, three times per day at three different forest types: coniferous forest, deciduous forest, and mixed forest from May 2016 to...
The aim of this study is to broaden current knowledge of phytoncide(NVOCs) emission and its trend in Saneum recreation forest. NVOCs samples were collected two times per month, three times per day at three different forest types: coniferous forest, deciduous forest, and mixed forest from May 2016 to May 2017. After being collected, samples were analyzed and an attempt was made to discover the correlation between NVOCs and surrounding environmental factors (temperature, humidity, wind speed, bacteria and dust) by Pearson correlation coefficient, using SPSS software. In addition, the α-Pinene concentration values, measured at Saneum recreation forest were compared with those obtained through other studies. The main results are summarized as follows.
1. In Saneum recreation forest, NVOCs concentration was high in order of summer, autumn, spring and winter. During a day, NVOCs were high in order of sunrise, sunset and culmination. By forest type, concentration of NVOCs was the highest at deciduous forest site, mixed forest and coniferous forest, in that order. We firmly believe that four factors may be responsible for this results – the higher concentration of NVOCs in deciduous and mixed forests, compared with those in a coniferous forest. First, Farnesene chemical compounds were higher in deciduous forest and mixed forest, compared with values which were obtained in coniferous forest stand. Second, the understory was well-developed in deciduous and mixed forests, but not in coniferous forest. Third, deciduous and mixed forests were developed on the slopes with southeast aspect, while coniferous forest aspect remained northeast. Fourth, measured humidity values were higher in deciduous and mixed forests, compared with values obtained in the coniferous forest.
2. The major compositions of NVOCs were Farnesene, α-Pinene, Caryophyllene Oxdie, Limonene and Myrcene. α-Pinene was present in all four seasons and its seasonal trend was evident.
3. As a result of analyzing the correlations between NVOCs and surrounding environmental factors (temperature, humidity, wind speed, bacteria and dust), the correlation between temperature, humidity and dust and NVOCs concentration were discovered high, while wind speed and number of bacteria in the air and NVOCs concentration had low correlation.
4. α-Pinene was the highest in summer, then autumn, spring and winter, in that order. During a day, α-Pinene was the highest at sunrise, then sunset and culmination. However, By forest type, α-Pinene values were high in the order of deciduous forest, coniferous forest and mixed forest. Correlation discovered between temperature, humidity and dust and NVOCs concentration was high, while wind speed and number of bacteria present in the air and NVOCs concentration had low correlation.
5. Changes of α-Pinene concentration in Saneum recreation forest, were compared with the values obtained through other studies. This comparison suggested that our study on phytoncide in Saneum recreation forest and other studies together confirmed that the concentration of α-Pinene was the highest in summer and the lowest in winter. Moreover, During a day, change of α-Pinene concentration was not significantly different from the values found in other studies, even though some of them came up with the results which showed that α-Pinene concentration reached a peak at different periods of a day. Despite this differences, all these results obtained through our study, other studies on the same subject and its comparison, led us to conclusion that α-Pinene showed a high concentration at times when sunlight changed significantly, like sunrise and sunset.
6. Kim’s (2017) study introduced a prediction model for NVOCs concentration in Pinus koraiensis(Siebold & Zucc.)forest using meteorological factors - temperature, humidity and wind speed. The predicted and measured values were compared and as a result, the actual average annual NVOCs concentration was 2.078μg/m³, while on the other side, the predicted value was close to 2.145μg/m³.
The aim of this study is to broaden current knowledge of phytoncide(NVOCs) emission and its trend in Saneum recreation forest. NVOCs samples were collected two times per month, three times per day at three different forest types: coniferous forest, deciduous forest, and mixed forest from May 2016 to May 2017. After being collected, samples were analyzed and an attempt was made to discover the correlation between NVOCs and surrounding environmental factors (temperature, humidity, wind speed, bacteria and dust) by Pearson correlation coefficient, using SPSS software. In addition, the α-Pinene concentration values, measured at Saneum recreation forest were compared with those obtained through other studies. The main results are summarized as follows.
1. In Saneum recreation forest, NVOCs concentration was high in order of summer, autumn, spring and winter. During a day, NVOCs were high in order of sunrise, sunset and culmination. By forest type, concentration of NVOCs was the highest at deciduous forest site, mixed forest and coniferous forest, in that order. We firmly believe that four factors may be responsible for this results – the higher concentration of NVOCs in deciduous and mixed forests, compared with those in a coniferous forest. First, Farnesene chemical compounds were higher in deciduous forest and mixed forest, compared with values which were obtained in coniferous forest stand. Second, the understory was well-developed in deciduous and mixed forests, but not in coniferous forest. Third, deciduous and mixed forests were developed on the slopes with southeast aspect, while coniferous forest aspect remained northeast. Fourth, measured humidity values were higher in deciduous and mixed forests, compared with values obtained in the coniferous forest.
2. The major compositions of NVOCs were Farnesene, α-Pinene, Caryophyllene Oxdie, Limonene and Myrcene. α-Pinene was present in all four seasons and its seasonal trend was evident.
3. As a result of analyzing the correlations between NVOCs and surrounding environmental factors (temperature, humidity, wind speed, bacteria and dust), the correlation between temperature, humidity and dust and NVOCs concentration were discovered high, while wind speed and number of bacteria in the air and NVOCs concentration had low correlation.
4. α-Pinene was the highest in summer, then autumn, spring and winter, in that order. During a day, α-Pinene was the highest at sunrise, then sunset and culmination. However, By forest type, α-Pinene values were high in the order of deciduous forest, coniferous forest and mixed forest. Correlation discovered between temperature, humidity and dust and NVOCs concentration was high, while wind speed and number of bacteria present in the air and NVOCs concentration had low correlation.
5. Changes of α-Pinene concentration in Saneum recreation forest, were compared with the values obtained through other studies. This comparison suggested that our study on phytoncide in Saneum recreation forest and other studies together confirmed that the concentration of α-Pinene was the highest in summer and the lowest in winter. Moreover, During a day, change of α-Pinene concentration was not significantly different from the values found in other studies, even though some of them came up with the results which showed that α-Pinene concentration reached a peak at different periods of a day. Despite this differences, all these results obtained through our study, other studies on the same subject and its comparison, led us to conclusion that α-Pinene showed a high concentration at times when sunlight changed significantly, like sunrise and sunset.
6. Kim’s (2017) study introduced a prediction model for NVOCs concentration in Pinus koraiensis(Siebold & Zucc.)forest using meteorological factors - temperature, humidity and wind speed. The predicted and measured values were compared and as a result, the actual average annual NVOCs concentration was 2.078μg/m³, while on the other side, the predicted value was close to 2.145μg/m³.
AI-Helper
※ AI-Helper는 부적절한 답변을 할 수 있습니다.