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권효숙 ( Hyo Suk Gwon ),김희권 ( Hee Kwon Kim ),박준홍 ( Jun Hong Park ),정현철 ( Hyun Cheol Jeong ),주옥정 ( Ok Jung Ju ),김필주 ( Pil Joo Kim ) 한국환경농학회 2013 한국환경농학회 학술대회집 Vol.2013 No.-
Atmospheric methane (CH4) is recognized as one of the most important greenhouse gases and may account for 20% of anticipated global warming. Flooded rice fields are a significant source of atmospheric CH4. The emission is the net result of opposing bacterial processes, production in anaerobic microenvironments, and consumption and oxidation in aerobic microenvironments, both of which can be found side by side in flooded rice soils. There are two methodological tiers in the Revised 1996 IPCC Guidelines for National Greenhouse Gas Inventories (IPCC Guidelines). Measurement of methane emission using a Tier 2 approach is accurate in that the data reflects conditions specific to the agronomic practices, soil properties, and climate of site-specific studies within a country. The accuracy and precision of Tier 2 methane emission estimates increase with both the number of sites tested and the frequency and number of measurements at each site. A standard measurement technique is recommended in the IPCC Guidelines. Total CH4 emission level in national scale could be estimated by multiplying emission factor (EFs) and activities, and emission factor (EF) could be calculated by Baseline emission factor (EFc) x Scaling Factors (SFs). Other data such as area studies, soil maps, and climate information are necessary to the success of the reported data. Crop yield and other grain production data are also important in assessing the quality and accuracy of methane emission levels. In order to develop our own CH4 emission factor, mean EFc was estimated by using the field CH4 emission data, which were investigated from 5 typical rice paddy fields (Jinju, Daegu, Gwangju, Hwasung and Suwon) for 3 years (2010-2012). Our mean EFc was 2.21 kg CH4 ha-1 day-1 with error range ±0.330 kg CH4 ha-1 day-1, which was higher IPCC default CH4 baseline emission factor 1.30 kg CH4 ha-1 day-1 with error range 0.80-2.20 kg CH4 ha-1 day-1 assessing no flooding for less than 180 days prior to rice cultivation, and continuously flooded during rice cultivation without organic matter. To enhance data accuracy, the relationship between CH4 emission rates and other related properties such as soil, metrological and crop characteristics was analyzed. Our CH4 emission rates have significantly positive correlation with soil organic matter content, air and soil temperatures, and rice biomass productivity. Conclusively, CH4 baseline emission factor (EFc) of Korean paddy soil assumed with around 2.21 kg CH4 ha-1 day-1, and this EFc value could be used as the baseline emission factor for developing national CH4 inventory and calculating national CH4 emission factor from rice paddy soil.
토양환경 분야PS-21 : 벼논에서 RNA 기반 기술을 이용한 메탄생성균 특성화의 정확도 개선
권효숙 ( Hyo Suk Gwon ),황현영 ( Hyun Young Hwang ),김필주 ( Pil Joo Kim ) 한국환경농학회 2014 한국환경농학회 학술대회집 Vol.2014 No.-
Methanogens which divided into acetotrophic and hydrogenotrophic species produce the same methyl Co.enzyme M reductase, and it is expressed by mcrA gene. mcrA gene only restricted to methanogenic archaea, and thus it is used to characterize methanogenic diversity and activity. In general, DNA level based metagenome techniques is broadly utilized to characterize methanogenic archaea in paddy soil, but its changes were not matched well with methane emission characteristics during rice cultivation. In order to improve the accuracy of methanogenesis activity and diversity analysis which is related to CH4 emission dynamics in paddy soil, methane emission rates were monitored in a typical paddy field by a closed chamber method during rice cultivation and the activities and diversities of methanogens were characterized by DNA and RNA.based techniques in the surface soils. Finally, the data accuracy was compared by using the relationship between CH4 emission rates and methanogenic properties. RNA.based methanogens activities were more highly correlated with methane emission patterns than DNA.based techniques during rice cultivation. However, the characteristics of methanogens diversities were not discriminated between DNA and RNA.based techniques. Therefore, methanogens should be characterized by RNA.based techniques rather than DNA in rice paddy soil.