This study was conducted to identify and assess key parameters affecting greenhouse gas emissions and odor intensity at a naturally ventilated dairy farm. Measurement data of greenhouse gases (CO2, CH4, N2O), odorants (NH3 and H2S), and meteorological data (wind speed, temperature, relative humidity, and solar radiation) were posited as the parameters influencing those emissions. Carbon dioxide and methane emissions correlated well to CO2-equivalent emissions and the contribution of carbon dioxide emissions (R2=0.9181) was greater than that of methane emissions (R2=0.8854). Hydrogen sulfide emissions were highly correlated with odor intensity (R2=0.9989), but the contribution of ammonia emissions to odor intensity was not significant (R2=0.0081). No correlation among CO2-equivalent and odor intensity emissions and meteorological parameters was observed. In this study, the relationship between emissions of greenhouse gases and odor intensity in a naturally ventilated dairy barn mainly depended upon carbon dioxide and hydrogen sulfide emissions. The results in this study will be helpful in the mitigation planning of greenhouse gases and odor in animal feeding operations (CFOs).

파프리카 정식방법이 생육과 수량에 미치는 영향을 구명하기 위해 늦은 겨울에 파종하여 여름에 수확하는 여름 재배와 여름에 파종하여 초겨울부터 수확하는 겨울재배의 두 재배작형을 시험하였다. 대조구는 10cm 암면블록에서 본엽이 8매정도 전개되었을 때 정식하였고, 어린묘 정식은 7cm 블록에서 본엽 2-3매에 정식하였다. 가정식 후 정식 처리는 10cm 암면블록에 이식한 묘를 재배용 배지 위의 받침대 위에 올려 본엽이 8매가 전개되도록 2-3주 동안 육묘한 뒤 정식하였고, 무블록 배지 직접 정식 처리는 본 엽 2-3매 묘를 재배용 배지에 구멍을 내고 U자로 구부려 정식하였다. 초장은 대조구와 무블록 배지 직접 정식 처리에서 길었고 가정식 후 정식처리가 짧았다. 잎 크기는 여름과 겨울재배 모두에서 무블록 배지 직접 정식과 어린묘 정식 처리에서 컸고, 가정식 후 정식처리가 작았다. 엽수는 무블록 배지 직접 정식 처리가 많았고, 가정식 후 정식 처리가 적었다. 과실크기는 처리간 차이가 없었지만, 평균 과중은 겨울재배에서는 가정식 후 정식처리가 낮았고, 여 름재배에서는 무블록 배지 직접 정식과 가정식 후 정식처리에서 낮았다. 상품과수는 무블록 배지 직접 정식 처리가 가장 많았고 가정식 후 정식처리에서 적었다. 상품률은 겨 울재배에서는 차이가 없었지만, 여름재배에서는 무블록 배지 직접 정식 처리에서 가장 높았고, 대조구에서 낮은 경향이었다. 수량은 무블록 배지 직접 정식과 어린묘 정식 처리가 높았고, 가정식 후 정식처리가 낮았다. 이상의 결과로 무블록 배지 직접 처리가 대조구에 비해 초기 활착이 빨라 생육이 왕성하였고, 이로 인해 1그룹 수량에 긍정적으로 작용하였으며 암면 블록을 사용하지 않고 배지에 직접 정식함으로써 암면 블록 비용 절감과 육묘에 드는 노력을 줄일 수 있을 것으로 기대하였다.

Two man-made carbon emissions, fossil fuel emissions and land use emissions, have been perturbing naturally occurring global carbon cycle. These emitted carbons will eventually be deposited into the atmosphere, the terrestrial biosphere, the soil, and the ocean. In this study, Simple Global Carbon Model (SGCM) was used to simulate global carbon cycle and to estimate global carbon budget. For the model input, fossil fuel emissions and land use emissions were taken from the literature. Unlike fossil fuel use, land use emissions were highly uncertain. Therefore land use emission inputs were adjusted within an uncertainty range suggested in the literature. Simulated atmospheric CO2 concentrations were well fitted to observations with a standard error of 0.06 ppm. Moreover, simulated carbon budgets in the ocean and terrestrial biosphere were shown to be reasonable compared to the literature values, which have considerable uncertainties. Simulation results show that with increasing fossil fuel emissions, the ratios of carbon partitioning to the atmosphere and the terrestrial biosphere have increased from 42% and 24% in the year 1958 to 50% and 30% in the year 2016 respectively, while that to the ocean has decreased from 34% in the year 1958 to 20% in the year 2016. This finding indicates that if the current emission trend continues, the atmospheric carbon partitioning ratio might be continuously increasing and thereby the atmospheric CO2 concentrations might be increasing much faster. Among the total emissions of 399 gigatons of carbon (GtC) from fossil fuel use and land use during the simulation period (between 1960 and 2016), 189 GtC were reallocated to the atmosphere (47%), 107 GtC to the terrestrial biosphere (27%), and 103GtC to the ocean (26%). The net terrestrial biospheric carbon accumulation (terrestrial biospheric allocations minus land use emissions) showed positive 46 GtC. In other words, the terrestrial biosphere has been accumulating carbon, although land use emission has been depleting carbon in the terrestrial biosphere.

The relationship between urban spatial structures and GHG-AP integrated emissions was investigated by statistically analyzing those from 25 administrative districts of Seoul. Urban spatial structures, of which data were obtained from Seoul statistics yearbook, were classified into five categories of city development, residence, environment, traffic and economy. They were further classified into 10 components of local area, population, number of households, residential area, forest area, park area, registered vehicles, road area, number of businesses and total local taxes. GHG-AP integrated emissions were estimated based on IPCC(intergovernmental panel on climate change) 2006 guidelines, guideline for government greenhouse inventories, EPA AP-42(compilation of air pollutant emission factors) and preliminary studies. The result of statistical analysis indicated that GHG-AP integrated emissions were significantly correlated with urban spatial structures. The correlation analysis results showed that registered vehicles for GHG (r=0.803, p<0.01), forest area for AP (r=0.996, p<0.01), and park area for AP (r=0.889, p<0.01) were highly significant. From the factor analysis, three groups such as city and traffic categories, economy category and environment category were identified to be the governing factors controlling GHG-AP emissions. The multiple regression analysis also represented that the most influencing factors on GHG-AP emissions were categories of traffic and environment. 25 administrative districts of Seoul were clustered into six groups, of which each has similar characteristics of urban spatial structures and GHG-AP integrated emissions.

The university is one of the main energy consumption facilities and thereby releases a large amount of greenhouse gas (GHG). Accordingly, efforts for reducing energy consumption and GHG have been established in many local as well as international universities. However, it has been limited to energy consumption and GHG, and has not included air pollution (AP). Therefore, we estimated GHG and AP integrated emissions from the energy consumed by Seoul National University of Science and Technology during the years between 2010 and 2012. In addition, the effect of alternative energy use scenario was analysed. We estimated GHG using IPCC guideline and Guidelines for Local Government Greenhouse Inventories, and AP using APEMEP/EEA Emission Inventory Guidebook 2013 and Air Pollutants Calculation Manual. The estimated annual average GHG emission was 11,420 tonCO2eq, of which 27% was direct emissions from fuel combustion sectors, including stationary and mobile source, and the remaining 73% was indirect emissions from purchased electricity and purchased water supply. The estimated annual average AP emission was 7,757 kgAP, of which the total amount was from direct emissions only. The annual GHG emissions from city gas and purchased electricity usage per unit area (m2) of the university buildings were estimated as 15.4 kgCO2eq/m2 and 42.4 tonCO2eq/m2 and those per person enrolled in the university were 210 kgCO2eq/capita and 577 kgCO2eq/capita. Alternative energy use scenarios revealed that the use of all alternative energy sources including solar energy, electric car and rain water reuse applicable to the university could reduce as much as 9.4% of the annual GHG and 34% of AP integrated emissions, saving approximately 400 million won per year, corresponding to 14% of the university energy budget.

Increasing carbon dioxide emissions from fossil fuel use and land-use change has been perturbing the balanced global carbon cycle and changing the carbon distribution among the atmosphere, the terrestrial biosphere, the soil, and the ocean. SGCM(Simple Global Carbon Model) was used to simulate global carbon cycle for the IPCC emissions scenarios, which was six future carbon dioxide emissions from fossil fuel use and land-use change set by IPCC(Intergovernmental Panel on Climate Change). Atmospheric CO2 concentrations for four scenarios were simulated to continuously increase to 600～1050ppm by the year 2100, while those for the other two scenarios to stabilize at 400～600ppm. The characteristics of these two CO2-stabilized scenarios are to suppress emissions below 12～13 Gt C/yr by the year 2050 and then to decrease emissions up to 5 Gt C/yr by the year 2100, which is lower than the current emissions of 6.3±0.4 Gt C/yr. The amount of carbon in the atmosphere was simulated to continuously increase for four scenarios, while to increase by the year 2050～2070 and then decrease by the year 2100 for the other two scenarios which were CO2-stabilized scenarios. Even though the six emission scenarios showed different simulation results, overall patterns were such similar that the amount of carbon was in the terrestrial biosphere to decrease first several decades and then increase, while in the soil and the ocean to continuously increase. The ratio of carbon partitioning to the atmosphere for the accumulated total emissions was higher for the emission scenario having higher atmospheric CO2, however that was decreasing as time elapsed. The terrestrial biosphere and the soil showed reverse pattern to the atmosphere.

A global carbon cycle model (GCCM), that incorporates interaction among the terrestrial biosphere, ocean, and atmosphere, was developed to study the carbon cycling and global carbon budget, especially due to anthropogenic CO2 emission. The model that is based on C, ^13C and ^14C mass balance, was calibrated with the observed CO2 concentration, δ^13C and Δ^14C in the atmosphere, Δ^14C in the soil, and Δ^14C in the ocean. Also, GCCM was constrained by the literature values of oceanic carbon uptake and CO2 emissions from deforestation. Inputs (forcing functions in the model) were the C, ^13C and ^14C as CO2 emissions from fossil fuel use, and ^14C infection into the stratosphere by bomb-tests. The simulated annual carbon budget of 1980s due to anthropogenic CO2 shows that the global sources were 5.43 Gt-C/yr from fossil fuel use and 0.91 Gt-C/yr from deforestation, and the sinks were 3.29 Gt-C/yr in the atmosphere, 0.90 Gt-C/yr in the terrestrial biosphere and 2.15 Gt-C/yr in the ocean. The terrestrial biosphere is currently at zero net exchange with the atmosphere, but carbon is lost via organic carbon runoff to the ocean. The model could be utilized for a variety of studies in CO_2 policy and management, climate modeling, CO2 impacts, and crop models.