본 연구는 산림내 기상환경에 변화에 따른 NVOCs 농도를 효율적으로 예측하기 위해서 수행되었다.기존 NVOCs의 측정이 갖고 있는 경제적, 기술적인 문제점을 보완하기 위하여 연구대상지의 NVOCs를 2013년7월부터 8월까지 온대북부 기후대를 대표하는 침엽수종인 소나무림에서 총 33회의 조사 및 분석을 실시하였다.여름철 소나무림의 NVOCs 구성을 비교해본 결과,α-Pinene 39%(11.21ng/m3), β-Pinene 20%(5.72ng/m3)등의 순서로 비율을 이루고 있는 것으로 확인되었다. 하루 중 NVOCs 농도의 특성을 분석한 결과, 일몰 시간에NVOCs의 농도가 가장 높았으며, 광환경이 변화되는 시점과 풍속의 영향을 적게 받는 시점에서 농도가 높아지는 것으로 나타났다. NVOCs의 농도와 물리환경과의 상관관계를 비교한 결과, 기온, 습도가 높을수록 농도가높아졌으며 풍속이 높아질수록 농도가 낮아졌다. 다중회귀분석을 통해 기상환경차이에 따른 농도 예측모델을제시하였다. 제시한 모델의 적용성을 검토하기 위하여 비교연구대상지의 NVOCs의 농도와 예측농도를 비교하였다. 예측농도와 실제측정 농도의 회귀분석결과, 61.4%의 높은 설명력을 가지고 있는 것으로 확인되었다. 본연구에서 얻어진 자료들은 산림치유에 대하여 연구하는 학자에게 NVOCs에 대한 새로운 예측방법에 대하여 많은 시사점을 줄 수 있을 것이라 기대된다.
This study aimed to make an efficient estimation of the concentration of NVOCs with changing climate conditions in forests. To complement economic and technical issues of the existing NVOCs measurement techniques, the study conducted a total of 33 survey and analysis sessions from July to August 2013 in Pinus Densiflora forests, which represents the climate of the northern Temperate Zone. The comparison of the NVOCs construction in Pinus Densiflora forests in summer showed 39% of α-Pinene (11.21ng/m3), followed by 20% of β-Pinene (5.72ng/m3). The analysis of the daily NVOCs concentration showed that it was highest during the sunset, and the concentration increases when the light environment changed and when there was a smaller effect of wind speed. The comparison of the correlation between the NVOCs concentration and physical environments showed that the higher the humidity, the higher the concentration became, and the higher the wind speed, the lower the concentration became. The study also presented a concentration estimation model with varying climate conditions, using a multiple regression analysis. To verify the applicability of the proposed model, the study compared the NVOCs concentration at the target site and the estimated concentration. The regression analysis on the estimated concentration and the observed data demonstrated that the proposed model had a higher explanatory force at 61.4%. It is expected that the results of this study will provide researchers on forest therapy with many implications on new estimation methods for NVOCs.
This study aimed to make an efficient estimation of the concentration of NVOCs with changing climate conditions in forests. To complement economic and technical issues of the existing NVOCs measurement techniques, the study conducted a total of 33 survey and analysis sessions from July to August 2013 in Pinus Densiflora forests, which represents the climate of the northern Temperate Zone. The comparison of the NVOCs construction in Pinus Densiflora forests in summer showed 39% of α-Pinene (11.21ng/m3), followed by 20% of β-Pinene (5.72ng/m3). The analysis of the daily NVOCs concentration showed that it was highest during the sunset, and the concentration increases when the light environment changed and when there was a smaller effect of wind speed. The comparison of the correlation between the NVOCs concentration and physical environments showed that the higher the humidity, the higher the concentration became, and the higher the wind speed, the lower the concentration became. The study also presented a concentration estimation model with varying climate conditions, using a multiple regression analysis. To verify the applicability of the proposed model, the study compared the NVOCs concentration at the target site and the estimated concentration. The regression analysis on the estimated concentration and the observed data demonstrated that the proposed model had a higher explanatory force at 61.4%. It is expected that the results of this study will provide researchers on forest therapy with many implications on new estimation methods for NVOCs.
