한국환경과학회지 (Journal of Environmental Science International)

  • 제31권1호
  • /
  • Pages.43-50
  • /
  • 2022
  • /
  • 1225-4517(pISSN)
  • /
  • 2287-3503(eISSN)
한국환경과학회 (The Korean Environmental Sciences Society)
권호 표지
DOI QR코드

DOI QR Code

덕유산 flux관측소의 군락 상층부와 지표면에서의 수분이동 관측

Observation of Moisture Fluctuations in the Upper Canopy and the Ground Surface of Deogyusan-Flux

  • 김용국 (대구가톨릭대학교 환경.조경학과) ;
  • 이부용 (대구가톨릭대학교 환경과학과)
  • Kim, Yong-kuk (Department of Environmental Science and Landscape Architecture The Graduate School, Catholic University of Daegu) ;
  • Lee, Bu-yong (Department of Environmental Science, Catholic University of Daegu)
  • 투고 : 2021.11.19
  • 심사 : 2021.12.16
  • 발행 : 2022.01.31
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

In this paper, lysimeter was installed to analyze the moisture fluctuations on the surface of a forest. The weight of the soil was measured, and the moisture fluctuations were calculated through the difference in weight over time. The amount of dew condensation on the surface of the ground was about 2-7 mm. January experienced the most dew condensation (7.2 mm). It was found that about 43 mm of dew condensation was generated over one year. To analyze the characteristics of evapotranspiration in the forest, the evapotranspiration on the surface was measured by the lysimeter method and the evapotranspiration on the upper part of the canopy was measured by the eddy covariance method. These results were compared and analyzed. Until mid-October, the evapotranspiration of the forest was active, and the amount of evapotranspiration on the top of the canopy was higher than the amount on the surface. Thereafter, the amount of evapotranspiration on the top of the canopy decreased due to the lowering of temperature and net-radiation. The amount of evapotranspiration on the surface and above the canopy showed the same tendency.

키워드

참고문헌

  1. Baldocchi, D. D., Hincks, B. B., Meyers, T. P., 1988, Measuring biosphere atmosphere exchanges of biologically related gases with micrometeorological methods, Ecology, 69, 1331-1340. https://doi.org/10.2307/1941631
  2. Hong, J. K., Kwon, H. J., Lim, J. H., Byun, Y. H., Lee, J. H., Kim, J., 2009, Standardization of KoFlux eddy-covariance data processing, Korean Journal of Agricultural and Forest Meteorology, 11, 19-26. https://doi.org/10.5532/KJAFM.2009.11.1.019
  3. Kang, M. S., Kim, J., Lee, S. H., Kim, J. H., Chun, J. H., Cho, S. S., 2018, Changes and improvements of the standardized eddy covariance data processing in KoFlux, Korean Journal of Agricultural and Forest Meteorology, 20, 5-17. https://doi.org/10.5532/KJAFM.2018.20.1.5
  4. Kang, M. S., Kwon, H. J., Lim, J. H., Kim, J., 2009, Underatory evapotranspiration measured by eddy-covariance in gwangneung deciduous and coniferous forests, Korean Journal of Agricultural and Forest Meteorology, 11, 233-246. https://doi.org/10.5532/KJAFM.2009.11.4.233
  5. Lee, B. Y., Haginoya, S., 2011, The latent heat exchange on the ground, J. Environ. Sci. Int., 20, 1061-1068. https://doi.org/10.5322/JES.2011.20.8.1061
  6. Lee, H. C., Lee, B. Y., Kim, J., Shim, J. S., 2004, Tower-based Flux measurement using the eddy covariance method at Ieodo Ocean Research Station, Ocean Polar Res., 26, 145-154. https://doi.org/10.4217/OPR.2004.26.2.145
  7. Lee S. J., Kim, K. J., Kim, Y. H., Kim, J. W., Park, S. W., Yun, Y. S., Kim, N. R., Lee, Y. W., 2018, Deep learning-based estimation and mapping of evapotranspiration in cropland using local weather prediction model and satellite data, Journal of the Korean Cartographic Association, 18, 105-116. https://doi.org/10.16879/jkca.2018.18.3.105
  8. Peters, A., Nehls, T. Schonsky, H. Wessolek, G. 2014, Seperating precipitation and evapotranspiration from noise-a new filter routine for high resolution lysimeter data, Hydrol. Earth Syst. Sci., 18, 1189-1198. https://doi.org/10.5194/hess-18-1189-2014
  9. Schrader, F., Durner, W., Fank, J., Gebler, T., Putz, S., Hannes, M., 2013, Estimating precipitation and actual evapotranspiration from precision lysimeter measurements, Procedia-Environ. Sci., 19, 543-552. https://doi.org/10.1016/j.proenv.2013.06.061
  10. Yoo, C. S., Song, S. U., Lee, M. S., Kim, S. E., 2021, Comparison of actual evapotranspiration amounts estimated using water balance and Eddy-Covariance methods: Applications to Seolmacheon and Cheongmicheon basins, J. Korean Soc. Hazard Mitig., 21, 171-182.
  11. Yun, J. I., Nam, J. C., Hong, S. Y., Kim, J., Kim, K. S., Chung, U., Chae, N. Y., Choi, T. J., 2004, Using spatial data and land surface modeling to monitor evapotranspiration across geographic areas in South Korea. Korean Journal of Agricultural and Forest Meteorology, 6, 149-163.