대한원격탐사학회지 (Korean Journal of Remote Sensing)

  • 제28권5호
  • /
  • Pages.521-529
  • /
  • 2012
  • /
  • 1225-6161(pISSN)
  • /
  • 2287-9307(eISSN)
대한원격탐사학회 (Korean Society of Remote Sensing)
권호 표지
DOI QR코드

DOI QR Code

MODIS 인공위성 이미지를 이용한 Priestley-Taylor 기반 공간 잠재 증발산 산정: 낙동강 유역을 중심으로

Spatial Estimation of Priestley-Taylor Based Potential Evapotranspiration Using MODIS Imageries: the Nak-dong river basin

  • 서찬양 (한양대학교 건설환경공학과) ;
  • 이종진 (한국수자원공사 조사기획처) ;
  • 박재영 (한국수자원공사 조사기획처) ;
  • 최민하 (한양대학교 건설환경공학과)
  • Sur, Chanyang (Department of Civil engineering, Hanyang University) ;
  • Lee, Jongjin (Water Resources Investigation and Planning Department, K-water) ;
  • Park, Jaeyoung (Water Resources Investigation and Planning Department, K-water) ;
  • Choi, Minha (Department of Civil engineering, Hanyang University)
  • 투고 : 2012.09.03
  • 심사 : 2012.10.04
  • 발행 : 2012.10.31
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

본 연구에서는, 수문순환과정의 중요한 요소인 증발산의 지역적 특성을 고려한 정확한 산정을 위하여 Moderate Resolution Imaging Spectroradiometer (MODIS) 인공위성 데이터를 이용한 원격탐사 기술을 적용하였다. Priestley-Taylor 방법으로 한반도 전역에서의 잠재 증발산을 산정하고 공간적인 거동을 파악하고자 하였다. 산정된 잠재 증발산을 바탕으로 낙동강 유역의 기상청 증발접시 증발량과 비교를 통해 지역적인 적용성을 확인하였다. 포항 기상대에서는 소형 증발접시 0.70, 대형 증발접시 0.55의 상관 계수를 가지며, 문경 기상대의 결과는 소형 증발접시 0.62, 대형 증발접시 0.52의 상관 계수를 갖는다.

The evapotranspiration (ET) is one of the most important factor in the hydrological cycle. In this study, remote sensing based ET algorithm using Moderate Resolution Imaging Spectroradiometer (MODIS) was considered. Then, Priestley-Taylor algorithm was used for estimation of potential evapotranspiration in South Korea, and its spatial distribution was analyzed. Overall applicability between estimated potential evapotranspiration and weather station pan evaporation in Nakdong river basin was represented. The results using small pan showed that correlation coefficient in Pohang and Moonkyung Station was 0.70 and 0.55, respectively. However, the results using large pan showed correlation coefficient in Pohang and Moonkyung Station was 0.62 and 0.52, respectively.

키워드

참고문헌

  1. 기상청 홈페이지 (http://www.kma.go.kr/)
  2. 낙동강사랑 (http://www.nakdong.go.kr)
  3. MODIS Website (http://modis.gsfc.nasa.gov/)
  4. 서찬양, 한승재, 이정훈, 최민하, 2012. 인공위성 데이터 기반의 공간 증발산 산정 및 에디 공분산 기법에 의한 플럭스 타워자료 검증, 대한원격탐사학회지, 28: 435-448. https://doi.org/10.7780/kjrs.2012.28.4.7
  5. 신사철, 안태용, 2007. 인공위성 자료를 활용한 광역증 발산량의 산정방법 개발, 한국지리정보학회지, 10: 70-80.
  6. 양정석, 안태연, 2007. 낙동강 유역의 지하수위와 강우이동 평균의상관관계, 대한지질공학회지, 17: 507-510.
  7. 양정석, 안태연, 2007. 낙동강 유역의 지하수위와 강우이동 평균의상관관계, 대한지질공학회지, 17: 507-510.
  8. 임창수, 윤세의, 송주일, 2009. 지역특성을 고려한 pan 증발량 산정식 평가. 대한토목학회지, 29: 47-62.
  9. 정 수, 신사철, 2006. 광역의 가뭄 분석을 위한 위성영상의 활용. 한국지형공간정보학회지, 14: 55-62.
  10. 최원호, 최민하, 오현제, 박주양, 2010. Reference Evapotranspiration Calculator Software를 이용한 기상관측소 기준증발산 추정. 대한토목학회지, 30: 219-231.
  11. 황창수, 김경탁, 오치영, 진청길, 최철웅, 2010. 낙동강 유역의 토양유실량과 하구 지형의 상관성 분석. 한국지형공간정보학회지, 18: 3-10.
  12. Allen, R.G., L.S. Percira, D. Raes, and M. Smith, 1998. Crop evapotranspiration: guidelines for computing crop requirements. Irrigation and Drainage Paper 56. United Nations-Food and Agricultural Organization (FAO), Rome, Italy.
  13. Bisht, G., V. Venturini, S. Islam, and L. Jiang, 2005. Estimation of the net radiation using MODIS (Moderate Resolution Imaging Spectroradiometer) data for clear sky days, Remote Sensing of Environment, 97: 52-67. https://doi.org/10.1016/j.rse.2005.03.014
  14. Chattopadhyay, N. and M. Hulme, 1997. Evaporation and potential evapotranspiration in India under conditions of recent and future climate change, Agricultural and Forest Meteorology, 87: 55-73. https://doi.org/10.1016/S0168-1923(97)00006-3
  15. Douglas, M.E., M.J. Jacobs, M.D. Summer, and L.R. Ray, 2009. A comparison of models for estimating potential evapotranspiration for Florida land cover types, Journal of Hydrology, 373: 366-376. https://doi.org/10.1016/j.jhydrol.2009.04.029
  16. Ferguson, H.L. and G.H. Den, 2009. Meteorological studies of evaporation at Perch lake, Ontario. Hydrological studies on a small basin on the Canadian shield-evaporation studies, P.J. Barry, Ed.AECL Chalk River Nuclear Laboratories, 417-448.
  17. Flint, A.L. and S.W. Childs, 1991. Use of the Priestley-Taylor evaporation equation for soil water limited conditions in a small forest clearcut. Agricultural and Forest Meteorology, 56: 247-260. https://doi.org/10.1016/0168-1923(91)90094-7
  18. Irmak, S. and D.Z. Haman, 2003. Evaluation of five methods for estimating class A pan evaporation in a humid climate. Hort Technology, 13: 500-508.
  19. Kim, J. and T.S. Hogue, 2007. Evaluation of a MODIS-Based Potential Evapotranspiration Product at the Point Scale. Journal of Hydrometeorology, 9: 444-460.
  20. Lagouarde, J.P. and Y. Brunet, 1983. A simple model for estimating the daily upward longwave surface radiation flux from NOAA-AVHRR data, 14: 907-925.
  21. Mukammal, E.I. and H.H. Neumann, 1977. Application of the Priestly-Taylor evaporation model to assess the influence of soil moisture on the evaporation from a large weighing lysimeter and class A pan, Boundry-Layer Meteorology, 14: 243-256.
  22. Penman, H.L., 1948. Natural evaporation from open water, bare soil, and grass, Proceeding of the Royal Society London, A193: 120-146.
  23. Priestley, C.H.B. and R.J. Taylor, 1972. On the assessment of surface heat flux and evaporation using large-scale parameters, Monthly Weather Review, 81-92.
  24. Showmaker, W.B. and M.D. Sumner, 2006. Laternate corrections for estimating actual wetland evapotranspiration from potential evapotranspiration, Wetlands, 26: 528-543. https://doi.org/10.1672/0277-5212(2006)26[528:ACFEAW]2.0.CO;2
  25. Stewart, R.B. and W.R. Rouse, 1976. A simple method for determining the evaporation from shallow lakes and ponds, Water Resources Research, 12: 623-628. https://doi.org/10.1029/WR012i004p00623
  26. Stewart, R.B. and W.R. Rouse, 1977. Substantiation of the Priestley-Taylor parameters =1.26 for potential evaporation in high latitudes, Journal of Applied Meteorology, 16: 623-650.

피인용 문헌

  1. Estimation of Actual Evapotranspiration and Storage Change for the Bokahcheon Upper-middle Watershed vol.47, pp.7, 2014, https://doi.org/10.3741/JKWRA.2014.47.7.615
  2. MODIS 위성자료를 이용한 Modified Satellite-Based Priestley-Taylor (MS-PT)의 적용 및 실제 증발산 평가 vol.49, pp.11, 2012, https://doi.org/10.3741/jkwra.2016.49.11.903
  3. 기준증발산량 산정방법들의 시공간적 보정에 대한 개선효과 평가 vol.53, pp.9, 2012, https://doi.org/10.3741/jkwra.2020.53.9.701
  4. Assessment of the Contribution of Rainwater Collection to Crop Production on Udo Island, Korea vol.13, pp.22, 2012, https://doi.org/10.3390/w13223299