• 제목/요약/키워드: Emission factor (EF)

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터널 측정을 통한 비메탄계 탄화수소의 자동차 배출계수 산정 (Determination of vehicle emission factor of NMHC from a tunnel study)

  • Na Gwang-Sam;Kim Yong-Pyo;Kim Yeong-Seong;Mun Il
    • 한국대기환경학회:학술대회논문집
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    • 한국대기환경학회 2000년도 추계학술대회 논문집
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    • pp.136-138
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    • 2000
  • The vehicle emissions of primary air pollutants are described by the emission factor (EF), defined as the emitted mass (g) of a compound per distance (km) and vehicle. The EF can be determined by exhaust measurements from single vehicles in dynamometric tests. However, the EF of a large number of vehicles has to be measured to obtain the representative results for actual road traffic emissions. Road traffic emissions can also be determined by exhaust measurements of driving vehicles or in tunnel measurements. (omitted)

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우리나라 농경지에서 질소의 수계유출에 의한 아산화질소 간접배출량 평가 (Evaluation of indirect N2O Emission from Nitrogen Leaching in the Ground-water in Korea)

  • 김건엽;정현철;김민경;노기안;이덕배;강기경
    • 한국토양비료학회지
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    • 제44권6호
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    • pp.1232-1238
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    • 2011
  • 아산화질소 ($N_2O$)는 가장 중요한 지구온난화 가스 중의 하나로 농업용으로 시용한 비료의 생물학적인 변환에 의한 것이 가장 큰 배출 원인으로 알려져 있다. 우리나라 농경지로부터 아산화질소의 간접배출 특성 및 배출량을 밝히기 위해 2007부터 2010년 까지 4년간 경남지방의 농업용관정의 지하수 질소성분들을 분석한 결과, 총 질소의 경우 평균 6.91, 질산태질소는 $5.06mg-N\;L^{-1}$이었다. 용존 아산화질소의 농도는 평균 $14.2{\mu}g-N\;L^{-1}$, 중앙값은 $7.8{\mu}g-N\;L^{-1}$, 최고값은 $169.6{\mu}g-N\;L^{-1}$로 분포하였다. 지하수 중의 총 질소나 질산태질소의 농도는 연도나 시기별로 큰 차이가 없었으나 용존 아산화질소 농도는 연도별로는 2009년에 시기별로는 8월이 가장 낮은 결과를 보였다. 우리나라 지하수 중의 $N_2O$-N 농도와 $NO_3$-N 농도비는 평균값이 0.0034, 중앙값이 0.0018이며, 95% 이상이 IPCC 가이드라인의 default 값인 0.015 이하에 분포하고 있어 IPCC가 1996 가이드라인의 농경지 지하유출에 의한 간접배출계수 ($EF_{5-g}$) 0.015 $N_2O-N/NO_3-N$가 우리나라의 환경보다 너무 높게 선정된 것임을 알 수 있었다. 따라서 IPCC의 $EF_{5-g}$ default 값인 0.015 $N_2O-N/NO_3-N$ 대신 우리나라 농경지 지하수 중의 $N_2O$-N와 $NO_3$-N 농도비의 평균값인 0.0034 $N_2O-N/NO_3-N$을 농경지 질소의 지하유출에 의한 아산화질소 간접배출량 평가를 위한 국가고유 배출계수 ($EF_{5-g}$)로 제시코자 하며, 따라서 농경지에서 수계유출에 의한 아산화질소 전체의 간접 배출계수 ($EF_{5-g}+EF_{5-r}+EF_{5-e}$)는 현재 우리나라의 국가 배출량평가에 사용되는 IPCC default값 0.025 $N_2O-N/NO_3-N$ 대신 0.0134 $N_2O-N/NO_3-N$를 제시코자 한다. IPCC의 수계 간접 배출계수인 0.025 $N_2O-N/NO_3-N$을 적용하여 평가한 2008년 우리나라 농경지에서 질소의 수계유출에 의한 아산화질소 배출량은 1,801,576톤 ($CO_2$-eq)이었으나 본 연구에서 제시한 배출계수인 0.0134 $N_2O-N/NO_3-N$을 적용할 경우 964,645톤 ($CO_2$-eq)으로 835,931톤 ($CO_2$-eq)의 온실가스 배출 감축효과를 얻을 수 있었다. 하지만 본 연구에서 제시한 배출계수는 질소 유출경로 중 가장 비중이 큰 지하침출에 의한 배출계수인 $EF_{5-g}$ 뿐으로 우리나라 농경지 아산화질소 간접배출량의 올바른 평가를 위해서는 앞으로 시용된 질소 중 수계를 통한 외부 유출 비율에 관한 default 값인 $Frac_{LEACH}$ (30%), 표면수 유출계수인 $EF_{5-r}$ (0.0075 $N_2O-N/NO_3-N$), 그리고 하천변을 통해 유출되는 계수인 $EF_{5-e}$ (0.0025 $N_2O-N/NO_3-N$ )에 관한 추가적인 연구가 수행되어야 할 것이다.

영농부산물 소각에서 발생하는 가스상 오염물질의 배출계수 개발 -맥류를 중심으로- (Development of Gaseous Pollutant Emission Factor by Incineration of Barley & Wheat among Agricultural Residues)

  • 김민욱;노준영;우지윤;이동은;홍성창;김승진
    • 한국환경농학회지
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    • 제42권4호
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    • pp.444-449
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    • 2023
  • The current study involved the calculation of air pollutant emission factors (EFs) generated from the incineration of agricultural residues. The process included sample collection, weight measurement, moisture measurement, incineration system configuration, and concentration measurement. The average CO emission factor of gaseous air pollutants from the incineration of barley and wheat agricultural residues was calculated as 0.08289 kg/kg and 0.06665 kg/kg, respectively, whereas the average NOX emission factor for barley and wheat agricultural residues was determined to be 0.00518 kg/kg and 0.00185 kg/kg, respectively. In the existing air pollutant emission calculation manual, the EF is presented only for barley. Therefore, in this study, we have introduced the EF for wheat, previously absent in the calculation manual. Additionally, the air pollutant calculation manual presents the EF of air pollutants as one value, but in this study, EF values corresponding to 2.5% and 97.5% were presented in consideration of the distribution of experimental values as shown in EMEP/EEA data.

산림부문의 국가온실가스 배출·흡수계수 개발 필요 우선순위 및 정량평가 방법론 (Priority for Developing Emission Factors and Quantitative Assessment in the Forestry Sector)

  • 한승현;이선정;장한나;김성준;김래현;전의찬;손요환
    • 한국기후변화학회지
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    • 제8권3호
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    • pp.239-245
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    • 2017
  • This study aimed to suggest priority for developing emission factor (EF) and to develop the methodology of quantitative assessment of EF in the forestry sector. Based on the stock-difference method, 17 kinds of EFs (27 EFs based on forest types) were required to calculate the carbon emission in the forestry sector. Priority for developing EFs followed the standards, which is a development plan by the government agency, importance of carbon stock for greenhouse gas, and EFs by the species. Currently, the most urgent development of EFs was carbon fraction in biomass and carbon stock in dead wood. Meanwhile, the quantitative assessment of EF consisted of 7 categories (5 categories of compulsory and 2 categories of quality evaluation) and 12 verification factors. Category in compulsory verification consisted of administrative document, determination methodology of emission factors, emission characteristic, accuracy of measurement and analysis, and data representative. Category in quality evaluation consisted of data management and uncertainty estimates. Based on the importance of factors in the verification process, each factor was scored separately, however, the score needs to be coordinated by the government agency. These results would help build a reliable and accurate greenhouse gas inventory report of Korea.

굴착기의 부하율에 따른 실작업 질소산화물 배출 특성 연구 (Study on Real-Work NOx Emission Characteristics according to Load Factor of Excavator)

  • 신달호;박윤서;유철;박수한
    • 드라이브 ㆍ 컨트롤
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    • 제20권3호
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    • pp.1-8
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    • 2023
  • The purpose of this study was to investigate and compare the impact of engine load on the emission characteristics of excavator engines, with the aim of improving the method for calculating the emission inventory of construction machinery. The engine load in excavators is directly correlated with the operational workload, and variations in the load factor (LF) can significantly influence the emission inventory. Thus, on-board diagnostic (OBD) data from an excavator at a construction site were systematically collected to measure engine output and emissions. The results revealed discernible differences in emissions based on engine load, even when the average excavator engine performance remained constant. This highlights the significant influence of the type and characteristics of the work being carried out on emission characteristics. Making realistic adjustments to the LF used in emission calculation formulas emerges as a crucial strategy for environmental improvement. Moreover, the analysis of the effects of engine load on emissions from excavators provides valuable insights for enhancing environmental protection measures.

소형챔버법을 이용한 휘발성유기화합물(VOCs) 방출특성 및 예측에 관한 연구 (A Study on the Emission Characteristics and Prediction of VOCs (Volatile Organic Compounds) using Small Chamber Method)

  • 방승기;손장열;이광호
    • KIEAE Journal
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    • 제4권4호
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    • pp.11-18
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    • 2004
  • In this study, the measurement system was developed for the measurement of pollutants from building materials, and specimens were made with concrete, gypsum board, mortar and wall paper. Characteristics of VOCs and TVOC concentration and Emission Factor as a function of time were assessed, and the conclusion was drawn as follows. (1) From predicting TVOC concentration decrease of specimen 7 with the wall paper attached to the concrete, the graph may become linear by converting the value of y-axis into the log function, and the prediction equation can be expressed as $y=34906{\ast}e^{-0.0093{\ast}time}$. Moreover, chi-square value was 0.83 which is relatively high value, indicating that TVOC concentration can be properly predicted if the same materials are used indoors. (2) From predicting VOCs Emission Factor decrease of specimen 7, the prediction equation can be expressed as $EF=15111{\ast}e^{-0.0093{\ast}time}$, and chi-square value was 0.83. (3) From predicting TVOC concentration decrease of specimen 7, prediction equation can be considered to be $y=254323{\ast}(1-e^{-0.1046{\ast}time})$, and chi-square was 0.994 which is significantly high value, indicating that indoor TVOC concentration can be properly predicted if the same materials are used indoors. Furthermore, the prediction of concentration decrease using cumulative value of hourly measured concentration is considered to be more accurate than that using just hourly measured value directly. (4) From predicting Emission Factor decrease with cumulative hourly data of Emission Factor, chi-square appeared to be higher than that by just using hourly data of Emission Factor directly. Therefore, the prediction of Emission Factor with cumulative hourly data can provide more reliable prediction equation than the case by using just hourly concentration directly.

Assessment on Nitrous Oxide (N2O) Emissions different Nitrogen Application Rates during the Red Pepper Cultivation in Flat Upland

  • Lee, Jong-Eun;Yun, Yeo-Uk;Lee, Jin-Il;Nam, Yun-Gyu;Kim, Gun-Yeob;Kim, Sun-Ju
    • 한국토양비료학회지
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    • 제47권1호
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    • pp.59-65
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    • 2014
  • Generally, nitrogen (N) fertilization higher than the recommended dose is applied during vegetable cultivation for increasing in productivity. However, excessive N application rate beyond plant requirement could cause adverse environmental impact such as nitrate leaching and nitrous oxide emission. In this experiment, the impacts of N fertilization was studied on nitrous oxide ($N_2O$) emission to standardize the optimum fertilization level for minimizing of $N_2O$ emission as well as most of the crop productivity. Herein, we assessed the $N_2O$ emission in the flat upland soil which was cultivated with different N application rates on red pepper for 3 years (2010~2012). $N_2O$ emission was measured in chemical N fertilizer amounts 0 (N 0), 95 (N 0.5), 190 (N 1.0), $380(N_2.0)kgha^{-1}$ by using the abnormal shape chamber closed repeating three times. In average for 3 years, the total $N_2O$ emissions of each treatment in field of soybean were 2.110 (N 0), 3.165 (N 0.5), 5.039 (N 1.0), and $7.228(N_2.0)kgN_2Oha^{-1}yr^{-1}$, respectively. And then the primary regression between nitrogen fertilizer amount and the total $N_2O$ emission was showed as y = 0.0138x + 2.0942 ($r^2=0.9885$), and an average of the emission factor was $EF_1$ 0.0148(0.0118~0.0191) $N_2O-NkgN^{-1}kg^{-1}$ from 2010 to 2012. The result was a little higher than the emission default of the IPCC 1996 Guideline ($EF_1$ 0.0125) when the results are converted into $N_2O$ emission factor.

시뮬레이터(EQPS)를 이용한 탄소발자국 최소화 운전 방안에 대한 연구 (A study to find the operation conditions to minimize carbon footprint using a simulator(EQPS))

  • 한지수;이제승;이병희
    • 유기물자원화
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    • 제32권2호
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    • pp.37-48
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    • 2024
  • 하수처리장은 공공부문 온실가스 목표 관리제 대상 시설로 탄소 배출량 감축이 시급하다. 하지만 최근 하수도 통계에 의하면 하수처리량에 대한 CO2 배출량은 2020년 대비 3.03 % 감소하였으며 이는 국가 온실가스 감축목표(NDC)를 충족하기에는 상당히 부족한 수치이다. 생물반응조에서 발생하는 직접 배출 온실가스와 하수처리과정에서 이용되는 에너지로 인한 간접배출 온실가스 두 가지를 모두 고려한 총 CFP (Carbon Footprint)를 최소화하는 생물반응조 운전 조건을 찾기 위해 EQPS라는 시뮬레이션 프로그램을 이용하여 연구를 수행하였다. 4-stage BNR 공법 하수처리장 생물반응조 내부반송율을 유입 수량의 100 %로 설정했을 때 총 CFP가 설계 운전 조건 대비 약 10.97 % 감소함을 확인하였다. 또한 대상 처리장의 N2O EF(Emission Factor)를 계산한 결과 0.138~0.199 %로 IPCC에서 제시한 기본값 1.6 %보다 낮은 값임을 파악하였다. 본 연구는 생물반응조 운전 조건 최적화를 통해 하수처리시설의 총 CFP를 최소화하는 방안을 제시하며, N2O 배출 감소를 위한 추가 연구의 필요성을 강조하고 있다.

컴퓨터 시뮬레이션을 이용한 MLE 공법 하수처리장에서 최저 아산화질소 발생 운전 조건 파악 (Finding the operation conditions to minimize nitrous oxide emission from MLE configuration wastewater treatment plant using computer simulation program)

  • 한지수;김민철;이병희
    • 유기물자원화
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    • 제31권2호
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    • pp.19-38
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    • 2023
  • 하수처리장에서 생물학적 질소 제거를 위한 질산화, 탈질 과정 중 6대 온실가스 중 하나인 아산화질소가 발생한다. 이번 연구에서는 온실가스 발생량을 정량할 수 있는 컴퓨터 시뮬레이션 프로그램인 EQPS를 이용해 합류식 하수를 처리하는 MLE 공법 하수처리장의 내부반송유량, 수온 그리고 유입수의 일차침전지 by-pass %에 따라 아산화질소가 가장 적게 발생하는 운전 조건을 찾았다. 내부반송 유량은 유입 유량의 200 %이고, 생물반응조 수온이 20 ℃이고 일차침전지에서 생물반응조로 by-pass 되는 유입수가 15 %일 때 아산화질소 배출 계수가 가장 적은 조건임을 확인했다. 또한 깊은 수심에서 공기를 주입하는 심층폭기는 상대적으로 적은 공기공급을 필요로 하기 때문에 일반적인 폭기조에 비해 적은량의 아산화질소가 발생함을 확인하였다.

Data Build-up for the Construction of Korean Specific Greenhouse Gas Emission Inventory in Livestock Categories

  • Won, S.G.;Cho, W.S.;Lee, J.E.;Park, K.H.;Ra, C.S.
    • Asian-Australasian Journal of Animal Sciences
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    • 제27권3호
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    • pp.439-446
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    • 2014
  • Many studies on methane ($CH_4$) and nitrous oxide ($N_2O$) emissions from livestock industries have revealed that livestock production directly contributes to greenhouse gas (GHG) emissions through enteric fermentation and manure management, which causes negative impacts on animal environment sustainability. In the present study, three essential values for GHG emission were measured; i.e., i) maximum $CH_4$ producing capacity at mesophilic temperature ($37^{\circ}C$) from anaerobically stored manure in livestock category ($B_{0,KM}$, Korean livestock manure for $B_0$), ii) $EF_{3(s)}$ value representing an emission factor for direct $N_2O$ emissions from manure management system S in the country, kg $N_2O-N$ kg $N^{-1}$, at mesophilic ($37^{\circ}C$) and thermophilic ($55^{\circ}C$) temperatures, and iii) $N_{ex(T)}$ emissions showing annual N excretion for livestock category T, kg N $animal^{-1}$ $yr^{-1}$, from different livestock manure. Static incubation with and without aeration was performed to obtain the $N_2O$ and $CH_4$ emissions from each sample, respectively. Chemical compositions of pre- and post- incubated manure were analyzed. Contents of total solids (% TS) and volatile solid (% VS), and the ratio of carbon to nitrogen (C/N) decrease significantly in all the samples by C-containing biogas generation, whereas moisture content (%) and pH increased after incubation. A big difference of total nitrogen content was not observed in pre- and post-incubation during $CH_4$ and $N_2O$ emissions. $CH_4$ emissions (g $CH_4$ kg VS-1) from all the three manures (sows, layers and Korean cattle) were different and high C/N ratio resulted in high $CH_4$ emission. Similarly, $N_2O$ emission was found to be affected by % VS, pH, and temperature. The $B_{0,KM}$ values for sows, layers, and Korean cattle obtained at $37^{\circ}C$ are 0.0579, 0.0006, and 0.0828 $m^3$ $CH_4$ kg $VS^{-1}$, respectively, which are much less than the default values in IPCC guideline (GL) except the value from Korean cattle. For sows and Korean cattle, $N_{ex(T)}$ values of 7.67 and 28.19 kg N $yr^{-1}$, respectively, are 2.5 fold less than those values in IPCC GL as well. However, $N_{ex(T)}$ value of layers 0.63 kg N $yr^{-1}$ is very similar to the default value of 0.6 kg N $yr^{-1}$ in IPCC GLs for National greenhouse gas inventories for countries such as South Korea/Asia. The $EF_{3(s)}$ value obtained at $37^{\circ}C$ and $55^{\circ}C$ were found to be far less than the default value.