DOI QR코드

DOI QR Code

고해상도 상대습도 모의를 위한 농산촌 지역의 수증기압 분석

An Analysis of Water Vapor Pressure to Simulate the Relative Humidity in Rural and Mountainous Regions

  • 김수옥 (에스티에이코퍼레이션(주)) ;
  • 황규홍 (에스티에이코퍼레이션(주)) ;
  • 홍기영 (에스티에이코퍼레이션(주)) ;
  • 서희철 (에스티에이코퍼레이션(주)) ;
  • 방하늘 (에스티에이코퍼레이션(주))
  • 투고 : 2020.11.03
  • 심사 : 2020.12.09
  • 발행 : 2020.12.30

초록

농산촌 지역 단일 집수역인 전남 구례군 간전면 중대리계곡과 경남 하동 악양면에서 각각 6지점과 14지점의 기상관측자료를 수집하여 복잡지형에서의 수증기압 및 상대습도 분포를 분석하였다. 중대리계곡에서는 2014년 12월 19일부터 2015년 11월 23일까지, 악양계곡에서는 2012년 8월 15일부터 2013년 8월 18일까지 가장 고밀도로 측정한 시기의 매시 기온과 습도(지면 위 1.5m)를 이용, 농업기상재해 조기경보시스템에서 사용되고 있는 기존의 수증기압 추정방식과 실제 수증기압을 비교하였다. 관측한 수증기압의 해발고도에 따른 기울기는 시간대(0300, 0600, … 2400 LST)에 따라 변동되었고, 야간일수록 위 아래의 수증기압차가 증대되었다. 지형·지표 조건이 다양한 악양계곡 관측 지점에서는 해발고도 외의 요인으로 인한 수증기압 변이가 지점별로 시간대에 따라 다르게 나타났다. 실제에 더 가까운 수증기압 및 상대습도 추정을 위해, 연구 대상지역의 관측자료로 해발고도 편차 당 수증기압 변화를 조정하는 계수를 도출하였다. 상대습도는 포화수증기압 대비 추정된 수증기압으로 모의하였으며, 조기경보시스템에서 사용된 기존 방법보다 도출된 계수를 활용한 추정방식에서 오차가 더 개선되었음을 확인하였다.

This paper analyzes the distribution of water vapor pressure and relative humidity in complex terrains by collecting weather observation data at 6 locations in the valley in Jungdae-ri, Ganjeon-myeon, Gurye-gun, Jeolla South Province and 14 locations in Akyang-myeon, Hadong-gun, Gyeongsang South Province, which form a single drainage basin in rural and mountainous regions. Previously estimated water vapor pressure used in the early warning system for agrometeorological hazard and actual water vapor pressure arrived at using the temperature and humidity that were measured at the highest density (1.5 m above ground) at every hour in the valley of Jungdae-ri between 19 December 2014 and 23 November 2015 and in the valley of Akyang between 15 August 2012 and 18 August 2013 were compared. The altitude-specific gradient of the observed water vapor pressure varied with different hours of the day and the difference in water vapor pressure between high and low altitudes increased in the night. The hourly variations in the water vapor pressure in the weather stations of the valley of Akyang with various topographic and ground conditions were caused by factors other than altitude. From the observed data of the study area, a coefficient that adj usts the variation in the water vapor pressure according to the specific difference in altitude and estimates it closer to the actual measured level was derived. Relative humidity was simulated as water vapor pressure estimated against the saturated water vapor pressure, thus, confirming that errors were further reduced using the derived coefficient than with the previous method that was used in the early warning system.

키워드

과제정보

본 논문은 농촌진흥청 연구사업(세부과제번호: PJ015007032020)의 지원에 의해 이루어진 것임.

참고문헌

  1. Adab, H., K. D. Kanniah, K. Solaimani, and K. P. Tan, 2013: Estimating atmospheric humidity using MODIS cloud-free data in a temperate humid region. IEEE International Symposium on Geoscience and Remote Sensing (IGARSS), 1827-1830. doi: 10.1109/IGARSS.2013.6723156
  2. Castellvi, F., P. J. Perez, J. M. Villar, and J. I. Rosell, 1996: Analysis of methods for estimating vapor pressure deficits and relative humidity. Agricultural and Forest Meteorology 82, 29-45. https://doi.org/10.1016/0168-1923(96)02343-X
  3. Conrath, B. J., 1969: On the estimation of relative humidity profiles from medium-resolution infrared spectra obtained from a satellite. Oceans and Atmospheres 74(13), 3347-3361. https://doi.org/10.1029/JC074i013p03347
  4. Guzman-Plazola, R. A., R. M. Davis, and J. J. Marois, 2003: Effects of relative humidity and high temperature on spore germination and development of tomato powdery mildew (Leveillula taurica). Crop Protection 22, 1157-1168. https://doi.org/10.1016/S0261-2194(03)00157-1
  5. Kim, S. O., 2017: Estimation of temporal surface air temperature under nocturnal inversion conditions. Korean Journal of Agricultural and Forest Meteorology 19(3), 75-85. (in Korean with English abstract) doi: 10.5532/KJAFM.2017.19.3.75
  6. Kim, S. O., and J. I. Yun, 2011: A quantification method for the cold pool effect on nocturnal temperature in a closed catchment. Journal of Agricultural and Forest Meteorology 13(4), 176-184. (in Korean with English abstract) doi: 10.5532/KJAFM.2011.13.4.176
  7. Kim, S. O., and J. I. Yun, 2013: Distribution of midday air temperature and the solar irradiance over sloping surfaces under cloudless condition. Journal of Agricultural and Forest Meteorology 15(4), 291-297. (in Korean with English abstract) doi: 10.5532/KJAFM.2016.18.1.55
  8. Kim, S. O., and J. I. Yun, 2016: Feasibility of the lapse rate prediction at an hourly time interval. Korean Journal of Agricultural and Forest Meteorology 18(1), 55-63. (in Korean with English abstract) doi: 10.5532/KJAFM.2016.18.1.55
  9. Kim, S. O., J. H. Kim, D. J. Kim, K. M. Shim, and J. I. Yun, 2015: Combined effects of wind and solar irradiance on the spatial variation of midday air temperature over a mountainous terrain. Asia-Pacific Journal of Atmospheric Sciences 51(3), 239-247. doi:10.1007/s13143-015-0074-5
  10. Korea Rural Economic Institute (KREI), 2019: Changes in the Supply and Demand Environment of Major Vegetables and Countermeasures, 202pp.
  11. Kuo, C. C., D. H. Staelin, and P. W. Rosenkranz, 1994: Statistical iterative scheme for estimating atmospheric relative humidity profiles. IEEE Transactions on Geoscience and Remote Sensing 32(2), 254-260. https://doi.org/10.1109/36.295039
  12. Lee, H. J., S. G. Lee, S. K. Kim, B. H. Mun, J. H. Lee, and H. S. Lee, 2017: Effects of high temperature and soil moisture conditions on the bulb size and yields of garlic. Proceedings of the Korean Society for Horticultural Science Conference, 84-84.
  13. Lee, H. J., S. G. Lee, S. K. Kim, J. H. Lee, B. H. Mun, and H. S. Lee, 2018: Effects of high temperature and soil moisture conditions on the growth and root activity of onion. Proceedings of the Korean Society for Horticultural Science Conference, 67-68.
  14. Lee, J. S., 2015: Hydrology 2nd. Goomiseokuan, 716pp.
  15. Rural Development Administration (RDA), 2018: Implementation of and early warning service for weather risk management in climate-smart agriculture. RDA research report, 368pp.
  16. Schmetz, J., and O. M. Turpeinen, 1988: Estimation of the Upper Tropospheric Relative Humidity Field from METFOSAT Water Vapor Image Data. Journal of Applied Meteorology 27(8), 889-899. https://doi.org/10.1175/1520-0450(1988)027<0889:EOTUTR>2.0.CO;2
  17. Yun, E. J., and S. O. Kim, 2018: Estimation of hourly daytime air temperature on slope in complex terrain corrected by hourly solar radiation. Korean Journal of Agricultural and Forest Meteorology 20(4), 376-385. (in Korean with English abstract) doi: 10.5532/KJAFM.2018.20.4.376