Korean Journal of Agricultural and Forest Meteorology (한국농림기상학회지)

Korean Society of Agricultural and Forest Meteorology (한국농림기상학회)
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Processing and Quality Control of Big Data from Korean SPAR (Soil-Plant-Atmosphere-Research) System

한국형 SPAR(Soil-Plant-Atmosphere-Research) 시스템에서 대용량 관측 자료의 처리 및 품질관리

  • Sang, Wan-Gyu (National Institute of Crop Science, Rural Development Administration) ;
  • Kim, Jun-Hwan (National Institute of Crop Science, Rural Development Administration) ;
  • Shin, Pyong (National Institute of Crop Science, Rural Development Administration) ;
  • Baek, Jae-Kyeong (National Institute of Crop Science, Rural Development Administration) ;
  • Seo, Myung-Chul (National Institute of Crop Science, Rural Development Administration)
  • 상완규 (농촌진흥청 국립식량과학원) ;
  • 김준환 (농촌진흥청 국립식량과학원) ;
  • 신평 (농촌진흥청 국립식량과학원) ;
  • 백재경 (농촌진흥청 국립식량과학원) ;
  • 서명철 (농촌진흥청 국립식량과학원)
  • Received : 2020.10.14
  • Accepted : 2020.11.25
  • Published : 2020.12.30
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Abstract

In this study, we developed the quality control and assurance method of measurement data of SPAR (Soil-Plant-Atmosphere-Research) system, a climate change research facility, for the first time. It was found that the precise processing of CO2 flux data among many observations were sig nificantly important to increase the accuracy of canopy photosynthesis measurements in the SPAR system. The collected raw CO2 flux data should first be removed error and missing data and then replaced with estimated data according to photosynthetic lig ht response curve model. Comparing the correlation between cumulative net assimilation and soybean biomass, the quality control and assurance of the raw CO2 flux data showed an improved effect on canopy photosynthesis evaluation by increasing the coefficient of determination (R2) and lowering the root mean square error (RMSE). These data processing methods are expected to be usefully applied to the development of crop growth model using SPAR system.

본 연구에서는 첨단 옥외환경조절시설인 SPAR 시스템의 작물 및 환경 관측 자료의 품질 관리와 보증 방법을 최초로 제시하였다. 특히 실시간 군락 CO2플럭스의 경우에는 수집되는 자료의 특성을 고려하여 이상치의 제거와 보정이 병행되어야 함을 확인하였다. 본 연구를 통해 구축된 자료 처리 방법들은 향후 SPAR 자료를 통한 작물 생육 모형 개선에 매우 중요하게 활용될 수 있을 것으로 보인다. SPAR 내 작물과 환경 관련 10분 평균 자료는 국립식량과학원 내 작물 연구 통합 정보시스템(Crop Research Information System, CRIS) 웹사이트(www2.nics.go.kr/cris)에서 이용 가능하다.

Keywords

References

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