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Negative Ion Generation Index according to Altitude in the Autumn of Pine Forest in Gyeongju Namsan

경주 남산 소나무림의 가을철 해발고도별 음이온 발생지수

  • Kim, Jeong Ho (Dept. of Green Technology Convergence, Konkuk Univ.) ;
  • Yoon, Ji Hun (Dept. of Green Technology Convergence, Konkuk Univ.) ;
  • Lee, Sang Hoon (Dept. of Green Technology Convergence, Konkuk Univ.) ;
  • Choi, Won Jun (Dept. of Green Technology Convergence, Konkuk Univ.) ;
  • Yoon, Yong Han (Dept. of Green Technology Convergence, Konkuk Univ.)
  • 김정호 (건국대학교 녹색기술융합학과) ;
  • 윤지훈 (건국대학교 녹색기술융합학과) ;
  • 이상훈 (건국대학교 녹색기술융합학과) ;
  • 최원준 (건국대학교 녹색기술융합학과) ;
  • 윤용한 (건국대학교 녹색기술융합학과)
  • Received : 2018.06.04
  • Accepted : 2018.08.12
  • Published : 2018.08.31

Abstract

The study analyzed the effects of topographic structures and altitude in mountainous parks in Mt. Namsan in Gyeongju on the generation of anions. The temperature was at ridge ($9.82^{\circ}C$) > valley ($8.44^{\circ}C$), the relative humidity valley (59.01 %) > ridge (58.64 %), the solar radiation ridge ($34.40W/m^2$) > valley($14.69W/m^2$), the wind speed ridge (0.63m/s) > valley(0.37m/s), and the negative ion valley($636.81ea/cm^3$) > ridge($580.04ea/cm^3$). In the valley, the correlation with altitude was verified for the temperature, relative humidity, solar radiation, and negative ion generation in the valley. The relative humidity, solar radiation, and negative ion indicated a positive correlation while the temperature had a negative correlation. In the ridge, the correlation with altitude was verified for the temperature, relative humidity, wind speed, solar radiation, and negative ion generation. The relative humidity, solar radiation, and negative ion generation indicated a positive correlation while the temperature and wind speed had a negative correlation. The regression analysis showed the prediction equation of y=-0.006x+9.663 (x=altitude, y=temperature) in the valley and y=-0.009x+11.595 (x=altitude, y=temperature) in the ridge for the temperature, y=0.027x+53.561 (x=altitude, y=relative humidity) in the valley and y=0.008x+56.646 (x=altitude, y=relative humidity) in the ridges for the relative humidity, and y=0.027x+53.561 (x=altitude, y=negative Ion generation) in the valley and y= 0.008x+56.646 (x=altitude, y=negative Ion generation) in the ridge for the negative ion generation.

본 연구에서는 경주 남산을 대상으로 지형구조 및 해발고도가 음이온 발생량에 미치는 영향을 분석하였다. 분석결과, 기온은 능선부($9.82^{\circ}C$) > 계곡부($8.44^{\circ}C$), 상대습도는 계곡부(59.01%) > 능선부(58.64%), 풍속은 능선부(0.63m/s) > 계곡부(0.37m/s), 일사량은 능선부($34.40W/m^2$) > 계곡부($14.69W/m^2$)로 나타났다. 음이온의 경우 계곡부($636.81ea/cm^3$) > 능선부($580.04ea/cm^3$)로 계곡부가 더 높은 음이온 발생량을 보였다. 해발고도와의 상관성 분석 결과, 계곡부에서는 기온, 상대습도, 일사량, 음이온 발생량과의 상관성이 검증되었으며, 상대습도, 일사량, 음이온 발생량과는 정의 상관관계, 기온과 부의 상관관계가 나타났다. 능선부에서는 기온, 상대습도, 풍속, 일사량, 음이온 발생량과의 상관성이 검증되었으며, 상대습도, 일사량, 음이온 발생량과는 정의 상관관계, 기온, 풍속과는 부의 상관관계가 나타났다. 회귀분석 결과, 기온의 경우 계곡부는 y= -0.006x+9.663 (x=해발고도, y=기온), 능선부의 경우 y= -0.009x+11.595(x=해발고도, y=기온)의 예측식을 얻었다. 상대습도의 경우 계곡부는 y= 0.027x+53.561 (x=해발고도, y=상대습도), 능선부의 경우 y= 0.008x+56.646 (x=해발고도, y=상대습도)의 예측식을 얻었다. 음이온 발생량의 경우 계곡부는 y= 0.577x+521.508 (x=해발고도, y=음이온 발생량), 능선부의 경우 y= 0.605x+549.068 (x=해발고도, y=음이온 발생량)의 예측식을 얻었다.

Keywords

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