Korean Journal of Environmental Biology (환경생물)

Korean Society of Environmental Biology (한국환경생물학회)
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Comparison of CH4 Emission by Open-path and Closed Chamber Methods in the Paddy Rice Fields

벼논에서 open-path와 closed chamber 방법 간 메탄 배출량 비교

  • 정현철 (농촌진흥청 국립농업과학원 기후변화생태과) ;
  • 최은정 (농촌진흥청 국립농업과학원 기후변화생태과) ;
  • 김건엽 (농촌진흥청 국립농업과학원 기후변화생태과) ;
  • 이선일 (농촌진흥청 국립농업과학원 기후변화생태과) ;
  • 이종식 (농촌진흥청 국립농업과학원 기후변화생태과)
  • Received : 2018.10.10
  • Accepted : 2018.11.17
  • Published : 2018.12.31
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Abstract

The closed chamber method, which is one of the most commonly used method for measuring greenhouse gases produced in rice paddy fields, has limitations in measuring dynamic $CH_4$ flux with spatio-temporal constrains. In order to deal with the limitation of the closed chamber method, some studies based on open-path of eddy covariance method have been actively conducted recently. The aim of this study was to compare the $CH_4$ fluxes measured by open-path and closed chamber method in the paddy rice fields. The open-path, one of the gas ($CO_2$, $CH_4$ etc.) analysis methods, is technology where a laser beam is emitted from the source passes through the open cell, reflecting multiple times from the two mirrors, and then detecting. The $CH_4$ emission patterns by these two methods during rice cultivation season were similar, but the total $CH_4$ emission measured by open-path method were 31% less than of the amount measured by closed chamber. The reason for the difference in $CH_4$ emission was due to overestimation by closed chamber and underestimation by open-path. The closed chamber method can overestimate $CH_4$ emissions due to environmental changes caused by high temperature and light interruption by acrylic partition in chamber. On the other hand, the open-path method for eddy covariance can underestimate its emission because it assumes density fluctuations and horizontal homogeneous terrain negligible However, comparing $CH_4$ fluxes at the same sampling time (AM 10:30-11:00, 30-min fluxes) showed good agreements ($r^2=0.9064$). The open-path measurement technique is expected to be a good way to compensate for the disadvantage of the closed chamber method because it can monitor dynamic $CH_4$ fluctuation even if data loss is taken into account.

벼재배 논에서 온실가스 측정을 위해 사용되는 closed 챔버법은 시 공간적으로 변동 폭이 큰 메탄 플럭스를 측정하는 데는 한계가 있다. 이러한 문제점을 해결하고자 메탄플럭스 측정에 있어 에디공분산을 기반으로 하는 open-path 방법과 closed 챔버법을 비교분석하였다. 벼 재배 기간 중 메탄 플럭스 변동은 두 방법 모두 비슷한 경향을 보였고 closed 챔버를 이용한 메탄 측정 시간대의 값은 open-path 측정에 의한 값과 고도로 유의한 상관을 보였다. 다만 총배출량에 있어서 두 측정 방법 간에 나타난 약 31%의 차이가 발생했는데 이는 closed 챔버법에 따른 과다 측정과 open-path에 의한 과소측정으로 생각해 볼 수 있다. 정확한 원인 분석을 위해서 향후에도 추가적인 연구가 필요할 것으로 판단된다.

Keywords

References

  1. Alberto MCR, R Wassmann, R Buresh, JR Quilty, TQ Correa, JM Sandro and CAR Conteno. 2014. Measuring methane flux from irrigated rice fields by eddy covariance method using open-path gas analyzer. Field Crop Res. 160:12-21.
  2. Baldocchi D, M Detto, O Sonnentag, J Verfaillie, YA Teh, W Silver and NM Kelly. 2012. The challenges of measuring methane fluxes and concentrations over a peatland pasture. Agric. For. Meteorol. 153:177-187.
  3. Chaichana N, SD Bellingrath-Kimura, S Komiya, Y Fuji, K Noborio, O Dietrich and T Pakoktom. 2018. Comparing of closed chamber and eddy covariance methods to improve the understanding of methane fluxes from rice paddy fields in Japan. Atmosphere 9:356-372.
  4. Chen ZL, DB Li, KS Shao and BJ Wang. 1993. Features of methane emission from rice paddy fields in Beijing and Nanjing. Chemosphere 26:239-248.
  5. Choi TJ, J Kim and JI Yun. 1999. On using the eddy covariance method to study the interaction between agro-forest ecosystems and the atmosphere. Korean J. Agric. For. Meteorol. 1:60-71.
  6. Christensen TR, S Jonasson, TV Callaghan and M Havstrom. 1995. Spatial variation in high-latitude methane flux along a transect across Siberian and European tundra environments. J. Geophys. Res. 100:21035-21045.
  7. Foken T, M Gockede, M Mauder, L Mahrt, B Amiro and W Munger. 2004. Post-field data quality control. pp. 181-208. In Handbook of Micrometeorology. Springer, Dordrecht.
  8. GIR. 2017. National greenhouse gas inventory report of Korea. Greenhouse Gas Inventory and Research Center of Korea. Ministry of Environment.
  9. Ge HX, HS Zhange, XU Cai, Y Song and L Kang. 2018. The characteristics of methane flux from an irrigated rice farm in East China measured using the eddy covariance method. Agric. For. Meteorol. 249:228-238.
  10. Haslwanter A, A Hammerle and G Wohlffahrt. 2009. Openpath vs. closed-path eddy covariance measurements of the net ecosystem carbon dioxide and water vapour exchange: A long-term perspective. Agric. For. Meteorol. 149:291-302.
  11. Hadi K, K Inubushi and K Yagi. 2010. Effect of water management on greenhouse gas emissions and microbial properties of paddy soils in Japan and Indonesia. Paddy Water Environ. 8:319-324.
  12. IAEA. 1992. Closed on measurement of methane and nitrous oxide emissions from agriculture. International Atomic Energy Agency. IAEA-TECDOC-674.
  13. IPCC. 1996. IPCC guidelines for national greenhouse gas inventories. Intergovernmental Panel on Climate Change.
  14. Kamal JC and JJ Finnigan. 1994. Atmospheric boundary layer flow: their structure and measurement. p. 289. Oxford University Press.
  15. Kang NG, JY Yun, MSA Talucder, MK Moon, MS Kang, KM Shim and J Kim. 2015. Corrections on CH4 fluxes measured in a rice paddy by eddy covariance method with an open-path wavelength modulation spectroscopy. Korean J. Agric. For. Meteorol. 17:15-24.
  16. Kim YU, MSA Talucder, MS Kang, SM Shim, NG Kang and J Kim. 2016. Interannual variations in methane emission from an irrigated rice paddy caused by rainfalls during the aeration period. Agric. Ecosyst. Environ. 223:67-75.
  17. McDermitt D, G Burda, L Xu, T Anderson, A Komissarov, B Riensche, J Schedlbauer, G Starr, D Zona, W Oechel, S Oberbauer and S Hastings. 2011. A new low-power openpath instrument for measuring methane flux by eddy covariance. Appl. Phys. B-Lasers Opt. 102:391-405.
  18. Minamikawa K and N Sakai. 2006. The practical use of water management based on soil redox potential for decreasing methane emission from a paddy field in Japan. Agric. Ecosyst. Environ. 116:181-188.
  19. Miyata A, R Leuning, OT Denmead, J Kim and Y Harazono. 2000. Carbon dioxide and methane fluxes from an intermittently flooded paddy field. Agric. For. Meteorol. 102:287-303.
  20. Peyron M, C Bertora, S Pelisserri, D Said-Pullicino, L Celi, E Miniotti, M Romani and D Sacco. 2016. Greenhouse gas emissions as affected by different water management practices in temperate rice paddies. Agric. Ecosyst. Environ. 232:17-28.
  21. Song C, X Xu, H Tian and Y Wang. 2009. Ecosystem-atmosphere exchange of $CH_4$ and $N_2O$ and ecosystem respiration in wetland in the Sanjiang plain, Northeastern China. Glob. Change Biol. 9:1-11.
  22. Stocker TF, D Qin, GK Plattner, MMB Tignor, SK Allen, J Boschung, A Nauels, Y Xia, V Bex and PM Midgley. 2014. Climate change 2013: the physical science basis. Cambridge University Press.
  23. Tyagi L, B Kumari and SN Singh. 2010. Water management-A tool methane mitigation from irrigated paddy fields. Sci. Total Environ. 408:1085-1090.
  24. Wang JM, JG Murphy, JA Geddes, CL Winsborough, N Basiliko and SC Thomas. 2013. Methane fluxes measured by eddy covariance and static chamber techniques at a temperate forest in central ontario Canada. Biogeosciences 10:4317-4382.
  25. Wassmann R, HU Neue, RS Latin, L Makarim, N Chareonsilp, LV Buendia and H Rennenberg. 2000. Characterization of methane emissions from rice fields in Asia. II. Differences among irrigated, rainfed, and deepwater rice. Nutr. Cycl. Agroecosyst. 58:13-22.
  26. Zheng CT, JQ Huang, WL Ye, M Lv, JM Dang, TS Cao, C Chen and YD Wang. 2013. Demonstration of a portable near-infrared CH4 detection sensor based on tunable diode laser absorption spectroscopy. Infrared Phys. Technol. 61:306-312.