• Journal of Animal Environmental Science
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• v.18 no.2
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• pp.75-84
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• 2012

Current estimation of greenhouse gas (GHG) emissions from livestock agriculture in Korea was based on Revised 1996 IPCC Guidelines for National Greenhouse Gas Inventories (1996 IPCC GL) published in 1996 and emission data were published in National Inventory Report. New guideline book, 2006 IPCC Guidelines for National Greenhouse Gas Inventories (2006 IPCC GL), however, was published in 2006. Hence preparation to apply new guideline for the estimation of GHG emission would be necessary. In this study, 1996 IPCC GL and 2006 IPCC GL for livestock agriculture were compared. Estimated GHG emissions based on Tier 1 methods of 1996 IPCC GL and 2006 IPCC GL between 2000 and 2008 were also compared. Estimated GHG emissions based on 2006 IPCC GL were 1.27~1.33 times higher than those based on 1996 IPCC GL. These results were mainly caused by emission factors of each IPCC GL. More researches should be conducted to decrease uncertainties of national GHG inventories.

• Journal of The Korean Society of Agricultural Engineers
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• v.59 no.4
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• pp.53-64
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• 2017

The equations and emission factors for estimating national GHGs are developed based on IPCC guidelines. The GHGs on livestock sector has been calculated using methodologies following 1996 IPCC guideline in South Korea although 2006 IPCC guideline was announced in 2006. The purpose of this study is to understand the implications of guideline updates for national GHGs changes in the livestock sector and analyze the effect of regional major livestock characteristics using KOSTAT time series data (1990 ~ 2014). The results show a new guideline makes GHGs reduce in the livestock sector up to 11 % with subdivided emission factors and the livestock characteristics affect regional GHGs. Gyeonggi-do, the top emitter among 16 states, records 784 thousand tons $CO_2eq.$ and Daejeon has the highest potential (82 %) of GHGs reduction. Swine is the most contributor for regional GHGs except Seoul and Gwangju, but the share of GHGs for chickens is less than 12 % in spite of the largest livestock population (87 %).

• Journal of Animal Environmental Science
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• v.8 no.2
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• pp.115-118
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• 2002

This study was conducted to determine the effects of pig manure composting on emission of dinitrogen oxide ($N_2O$) that is greenhouse gas. Fresh pig manure was mixed with sawdust as bulking agent and moisture content of mixed compost was adjusted by 61.9%. After mixing bulking agent with pig manure that was left to compost with aeration in composting chamber for an initial period of 30 days. At the end of this period, that was decomposed and a second period of composting was conducted without aeration for 60 days. Temperature during the initial composting period was above $55^{\circ}C$ for 7 days. Moisture reduction rate by composting pig manure was 36.7%. $N_2O$ Produced during composting was 0.043g/T-Ng.

• Journal of Environmental Impact Assessment
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• v.13 no.1
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• pp.33-40
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• 2004

At Recent the number of livestock is rapidly increased and the scale of farm has changed to large operations in Korea. So the odors from livestock feeding operations have increased and become major environmental problem. The odor emission are dependent on the types of manure management system and the meteorological factors. This report presents the results of a questionnaire on the odor characteristics from livestock facilities for the beef, dairy, swine and poultry. It is founded that the impact by odors from the facilities for swine and poultry is higher than cow and dairy, and the odor intensity at morning is higher than other times.

• Korean Journal of Environmental Biology
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• v.38 no.1
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• pp.71-81
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• 2020

In Korea, more than 70% of the ammonia(NH₃) released into the atmosphere is known to originate from livestock manure. The total emission (kg year^-1) is calculated by multiplying the emission factor (kg head^-1 yr^-1) and the activity data (head). To improve the accuracy and reliability of the NH₃ emission estimation process, an accurate account of livestock manure production, calculation of NH₃ conversion and generation during the composting and liquefaction of manure, estimation of NH₃ generation in the storage and transportation of manure and compost, and a comparative study of NH₃ emission during the soil spreading process must be performed. Compared to the US and EU-28, in particular, the domestic emission factor is relatively even and the spatial/temporal scale is not broken down sufficiently to reflect the domestic situation. As a way to improve the accuracy and expertise of estimating NH₃ emission factors, a 'dynamic chamber-capture system' can be utilized, which allows complex considerations of compost, liquid manure, soil, and climate characteristics. By reviewing and comparing the data related to domestic and foreign NH₃ emission, we identified shortcomings in the current domestic system and the directions to be taken and suggested a chamber system that could estimate NH₃ emission flux. It is also necessary to establish a methodology for mesocosm systems in the field, in addition to indoor chamber systems, to be linked with practical policies, such as the calculation of new emission factors for missing sources.

• Journal of Korean Society of Rural Planning
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• v.19 no.4
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• pp.125-135
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• 2013

Analysis and evaluation of uncertainty is adopting the advanced methodology among the methods for greenhouse gas emission assessment that was defined in GPS2000 (Good practice guideline 2000) and GPG-LULUCF (GPG Land Use, Land-Use Change and Forestry). In 2006 IPCC guideline, two approaches are suggested to explain the uncertainty for each section with a national net emission and a prediction value on uncertainty as follows; 1) Spread sheet calculation based on the error propagation algorithm that was simplified with some assumptions, and 2) Monte carlo simulation that can be utilized in general purposes. There are few researches on the agricultural field including greenhouse gas emission that is generated from livestock and cultivation lands due to lack of information for statistic data, emission coefficient, and complicated emission formula. The main objective of this study is to suggest an evaluation method for the uncertainty of greenhouse gas emission in agricultural field by means of intercomparison of the prediction value on uncertainties which were estimated by spread sheet calculation and monte carlo simulation. A statistic analysis for probability density function for uncertainty of emission rate was carried out by targeting livestock intestinal fermentation, excrements treatment, and direct/indirect emission from agricultural lands and rice cultivation. It was suggested to minimize uncertainty by means of extraction of emission coefficient according to each targeting section.

• Environmental and Resource Economics Review
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• v.21 no.1
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• pp.175-210
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• 2012

As London and post-Koyto protocols presumably affect emission of organic waste in Korea in 2012, appropriate treatment of organic waste becomes very important. Organic wastes are regarded as non-point pollutants. It has been criticized that direct emission charges on the emission of non-point pollutants are not effective due to the high uncertainty in the relationship between pollution sources and pollution levels. This study suggests indirect emission charges on production of livestocks or consumption on foods. Furthermore, it is assumed that revenue from the emission charges will be recycled to support biogas production. Biogas can be fueled to produce energy. In order to evaluate potential economic and environmental impacts of recycling the indirect emission charges on organic wastes, a static CGE model was developed. Simulation results of emission charges on the production of livestock show that livestock, agriculture, and food industry will confront relatively high burden while emission charges on consumption of food will affect more broadly and consumers will suffer more. Production charge on livestock sector will lead to higher reduction in GDP and total expenditure relative to the consumption charge. GHGs reduction effect was higher for the consumption charge relative to the production charge. Synthetically, consumption charge on food sector is more desirable as an alternative charge for the emission of organic wastes.

• Journal of The Korean Society of Agricultural Engineers
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• v.54 no.3
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• pp.37-45
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• 2012

Recently, the livestock industry in Korea was heavily affected by the outbreak of official livestock diseases such as foot and mouse disease, high pathogenic avian influenza, swine influenza, and so on. It has been established that these diseases are being spread through direct contact, droplet and airborne transmission. Among these transmissions, airborne transmission is very complex in conducting field investigation due to the invisibility of the pathogens and unstable weather conditions. In this study, the airborne transmission was thoroughly investigated inside a pig house by conducting tracer gas ($CO_2$) experiment because experiment with real pathogen is limited and dangerous. This is possible as it can be assumed that the flow is similar pattern very fine particles and gas. In the experiment, the ventilation structure as well as the location of gas emission were varied. The $CO_2$ detection sensors were installed at 0.5 and 1.3 m height from the floor surface. The tracer gas level was measured every second. Results revealed that the direction of spread can be determined by the response time. Response time refers to the time to reach 150 ppm from the gas emission source at each measuring points. The location of the main flow as well as the gas emission was also found to be very important factor causing the spread.

• Journal of The Korean Society of Grassland and Forage Science
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• v.35 no.3
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• pp.212-216
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• 2015

This study was conducted to assess the efficacy of slurry acidification in reducing ammonia emission from manure storage and application. The non-fermented cattle manure (NFC) and swine slurry (SS) were acidified by sulfuric acid and stored in an acryl chamber for 168 and 96 hours, respectively. Ammonia emitted from the chamber was collected using an acid trap system. The amount of ammonia emission was significantly reduced when the livestock manures were treated with sulfuric acid. The absolute amount of ammonia in NFC increased rapidly starting from 48 h and 72 h in the control (pH 8.6) and acidified NFC (pH 6.5), respectively. The absolute amount of ammonia was the highest at 96 h ($3.65g\;kg^{-1}h^{-1}$) in the control and at 144 h ($2.34g\;kg^{-1}h^{-1}$) in pH 6.5 NFC. The cumulative ammonia content in the control continuously increased until 96 h and was maintained until 168 h, whereas the increase rate of emission gas accumulation in acidified NFC was much less throughout the experimental period. Acidification of SS mitigated ammonia emission as proven in NFC. The cumulative amount of ammonia emission was decreased by 49.4% and 92.3% in the acidified SS at pH 6.5 and pH 5.5, respectively, compared to the control at 96 h after treatment. These results indicate that ammonia emission can be significantly reduced by sulfuric acid treatment of livestock manure during processing and the subsequent land application.

• Korean Chemical Engineering Research
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• v.45 no.2
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• pp.133-142
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• 2007

As the environmental pollution caused by excessive uses of chemical fertilizers and pesticides is aggravated, organic farming using pasture and livestock manure is gaining an increased necessity. The application rate of the organic farming materials to the field is determined as a function of crops and soil types, weather and cultivation surroundings. When livestock manure is used for organic farming materials, the volatilization of ammonia from field-spread animal manure is a major source of atmospheric pollution and leads to a significant reduction in the fertilizer value of the manure. Therefore, an ammonia emission model should be presented to reduce the ammonia emission and to know appropriate application rate of manure. In this study, the ammonia emission rate from field-applied pig manure is predicted using an artificial neural network (ANN) method, where the Michaelis-Menten equation is employed for the ammonia emission rate model. Two model parameters (total loss of ammonia emission rate and time to reach the half of the total emission rate) of the model are predicted using a feedforward-backpropagation ANN on the basis of the ALFAM (Ammonia Loss from Field-applied Animal Manure) database in Europe. The relative importance among 15 input variables influencing ammonia loss is identified using the weight partitioning method. As a result, the ammonia emission is influenced mush by the weather and the manure state.