Proceedings of The Korean Society of Agricultural and Forest Meteorology Conference (한국농림기상학회:학술대회논문집)

Korean Society of Agricultural and Forest Meteorology (한국농림기상학회)
권호 표지

Eddy Covariance Measurement of CH4 Flux in a Rice Paddy in Gimje, Korea

김제 논에서 메탄 플럭스의 에디 공분산 관측

  • Talucder, Samiul Ahsan (Interdisciplinary Program in Agricultural & Forest Meteorology, Seoul National University) ;
  • Yun, Juyeol (Complex Systems Science Lab, Dept. of Landscape Architecture and Rural Systems Engineering, Seoul National University) ;
  • Kang, Namgoo (Korea Research Institute of Standards and Science) ;
  • Shim, Kyo Moon (National Academy of Agricultural Science) ;
  • Kim, Joon (Interdisciplinary Program in Agricultural & Forest Meteorology, Seoul National University)
  • ;
  • 윤주열 (서울대학교 조경지역시스템 공학부 복잡계과학연구실) ;
  • 강남구 (한국표준과학연구원) ;
  • 심교문 (국립농업과학원) ;
  • 김준 (서울대학교 협동과정 농림기상학전공 복잡계과학연구실)
  • Published : 2013.11.20
Download PDF
⟨ Previous Next ⟩

Abstract

We have been measuring $CH_4$ flux in a rice paddy in Gimje using the eddy covariance method since July 2011. In order to measure the fast fluctuations of $CH_4$ concentration, an innovative LI-7700 open-path laser spectrometer is used. This high-precision, low power, light weight, low maintenance sensor enables us to operate it on a continuous and long-term basis. One particular feature, among other things, is the self-cleaning lower mirror which decreases maintenance requirements while ensuring more robust, continuous, high-quality dataset. Its cleaning is initiated at user-specified time intervals or a signal strength threshold, and its status is recorded as a diagnostic index. We have noticed that the operation of LI-7700 at Gimje site is quite challenging particularly due to its frequent mirror cleaning requirement and the associated sensitivity of the instrument. In this presentation, we present some field observation data regarding the mirror cleaning and their analysis, thereby suggesting the pertinent operation options for high-quality, maximum data retrieval in the field.

Keywords