• 제목/요약/키워드: Emission model

검색결과 1,697건 처리시간 0.032초

UM-CMAQ-Pollen 모델의 참나무 꽃가루 배출량 산정식 개선과 예측성능 평가 (Improvement and Evaluation of Emission Formulas in UM-CMAQ-Pollen Model)

  • 김태희;서윤암;김규랑;조창범;한매자
    • 대기
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    • 제29권1호
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    • pp.1-12
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    • 2019
  • For the allergy patient who needs to know the situation about the extent of pollen risk, the National Institute of Meteorological Sciences developed a pollen forecasting system based on the Community Multiscale Air Quality Modeling (CMAQ). In the old system, pollen emission from the oak was estimated just based on the airborne concentration and meteorology factors, resulted in high uncertainty. For improving the quality of current pollen forecasting system, therefore the estimation of pollen emission is now corrected based on the observation of pollen emission at the oak forest to better reflect the real emission pattern. In this study, the performance of the previous (NIMS2014) and current (NIMS2016) model system was compared using observed oak pollen concentration. Daily pollen concentrations and emissions were simulated in pollen season 2016 and accuracy of onset and end of pollen season were evaluated. In the NIMS2014 model, pollen season was longer than actual pollen season; The simulated pollen season started 6 days earlier and finished 13.25 days later than the actual pollen season. The NIMS2016 model, however, the simulated pollen season started only 1.83 days later, and finished 0.25 days later than the actual pollen season, showing the improvement to predict the temporal range of pollen events. Also, the NIMS2016 model shows better performance for the prediction of pollen concentration, while there is a still large uncertainty to capture the maximum pollen concentration at the target site. Continuous efforts to correct these problems will be required in the future.

희생량 모델과 $CO_2$ 배출량에 기초한 수출입 컨테이너화물의 운송경로 선택에 관한 연구 (Study on the selection of transport route for import-export container cargo based on the sacrifice model and $CO_2$ emission)

  • 김상현;고창두
    • 한국해양환경ㆍ에너지학회지
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    • 제5권1호
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    • pp.19-29
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    • 2002
  • 본 논문에서는 운송시간과 운송비용으로 구성되는 희생량 모델과 각 운송경로별 CO₂배출량을 고려한 수출입 컨테이너화물의 운송경로 선택에 관하여 고찰한다. 먼저 부산항을 이용하는 수출입 컨테이너화물의 물동량과 운송경로별 분담, 국내외 CO₂배출량 현황, 희생량 모델, 수출입 컨테이너화물의 시간가치에 대하여 간단히 살펴본다. 그리고 서울에서 발생한 수출입 컨테이너화물을 부산항으로 운송하는 경우를 가정하고 희생량 모델을 이용하여 계산한 각 운송경로별 희생량에 기초한 운송경로의 선택에 대하여 고찰한다. 또한 화물의 운송에 의하여 발생하는 CO₂배출량을 고려하여 결정한 환경부하 희생량을 추가한 희생량 모델을 이용한 운송경로의 선택에 대해서도 고찰한다. 본 연구의 결과, 희생량 모델에 기초한 컨테이너화물의 운송경로 선택이 수출입 컨테이너화물의 국내 수송 현황을 잘 나타내고 있는 것을 확인하였다. 또한 연안운송의 운송분담율을 높이기 위해서는 운송시간의 단축이 가장 효과적인 것을 확인하였다.

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MODELING OF HUMAN INDUCED CO2 EMISSION BY ASSIMILATING GIS AND SOC10-ECONIMICAL DATA TO SYSTEM DYNAMICS MODEL FOR OECD AND NON-OECD COUNTRIES

  • Goto, Shintaro
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 1998년도 Proceedings of International Symposium on Remote Sensing
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    • pp.3-8
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    • 1998
  • Using GIS and socio-economical data the relationship between human activities and global environmental change Is Analysed from the view point of food productivity and CO2 emission. Under the assumption that the population problem, the food problem and global warming due to energy consumption can be stabilized through managing land use, impacts of human activities such as consumption of food, energy and timber on global environment changes, and global population capacity are Analysed using developed system dynamics model in the research. In the model the world is divided into two groups: OECD countries and the others. Used global land use data set Is land cover map derived from satellite data, and potential distribution of arable land is estimated by the method of Clamor and Solomon which takes into consideration spatial distribution of climate data such as precipitation and evapotranspiration. In addition, impacts of CO2 emission from human activities on food production through global warming are included in the model as a feedback. The results of the analysis for BaU scenario and Toronto Conference scenario are similar to the results of existing models. From the result of this study, the human habitability in 2020 is 8 billion people, and CO2 emission in 2020 based on BaU Scenario and on Toronto Scenario is 1.7 and 1.2 times more than the 1986's respectively. Improving spatial resolution of the model by using global data to distribute the environmental variables and sauce-economical indices is left for further studies.

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LAEEM에 의한 전국 매립가스 발생량 추정에 대한 연구 (A Study on the Estimation of Landfill Gas Emission by LAEEM in KOREA)

  • 장영기;서정배
    • 한국대기환경학회지
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    • 제14권5호
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    • pp.499-506
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    • 1998
  • Recently almost wastes except recycled garbage are dumped into landfill site in Korea. Landfills are significant compounds (NMOCS) are produced. NMOCS include reactive volative organic compound (VOC) and hazardous air pollutants. LAEEM (Landfill Air Emissions Estimation Model) developed by Control Technology Center, V.S. EPA is used to estimate a mount of landfill gas from all landfills. As the result, landfill gas 4,121,000 ton, carbon dioxide 2,951,000 ton, methane 1,1120,000 ton are estimated as emissions from all landfills in Korea.

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휘발성 유기화합물의 배출량 산정 및 관리 소프트웨어 개발 (A Study on Process Integrated Innovation System for a LNG Industry)

  • 이종협;박현수;이선우;김화용
    • 한국가스학회지
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    • 제7권2호
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    • pp.7-13
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    • 2003
  • 본 연구에서는 국내 휘발성 유기화합물질의 주요 취급시설에 대한 조사를 통하여 배출원별 배출메카니즘을 정립하고, 새로운 배출량산정모델을 제안하였다. 또한 각 배출원에 적용가능한 배출저감기술과 각 기술의 경제성 평가기법을 제안하였다. 여기에 배출원 DB, 화학물질물성치 DB, 기상정보 DB, 배출계수 DB 등의 정보를 연계하여 휘발성유기화합물질 배출량산정 및 관리 소프트웨어 VEER(VOCs Emission Estimation and Reduction)를 개발하였다. 결국 본 연구를 통해 개발된 VEER를 이용하여, 휘발성 유기화합물질 취급업체, 관리기관, 연구기관 등에서 쉽고 정확하게 배출원 인벤토리를 구축하고, 배출량을 산정하며, 계산된 결과를 바탕으로 각 배출원의 배출유량과 농도에 적합한 휘발성 유기화합물질 배출 저감기술을 선택하고, 여러 저감기술들에 대한 경제성을 평가함으로써, 저비용의 배출량 저감 및 배출원 관리기술을 선택하고, 설계할 수 있을 것으로 기대된다.

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A Fuzzy Model Based on the PNN Structure

  • Sang, Rok-Soo;Oh, Sung-Kwun;Ahn, Tae-Chon;Hur, Kul
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 1998년도 The Third Asian Fuzzy Systems Symposium
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    • pp.83-86
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    • 1998
  • In this paper, a fuzzy model based on the Polynomial Neural Network(PNN) structure is proposed to estimate the emission pattern for air pollutant in power plants. the new algorithm uses PNN algorithm based on Group Mehtod of Data Handling (GMDH) algorithm and fuzzy reasoning in order to identify the premise structure and parameter of fuzzy implications rules, and the least square method in order to identify the optimal consequence parameters. Both time series data for the gas furnace and data for the NOx emission process of gas turbine power plants are used for the purpose of evaluating the performance of the fuzzy model. The simulation results show that the proposed technique can produce the optimal fuzzy model with higher accuracy and feasibility than other works achieved previously.

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THE FINANCING MODEL FOR GREEN BUILDING PROJECTS WITH THE GOVERNMENTAL GUARANTEE BASED ON CER (Certified Emission Reduction)

  • Sang-Hyo Lee;Se-Woong Jang;Ju-Hyung Kim;Jae-Jun Kim
    • 국제학술발표논문집
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    • The 4th International Conference on Construction Engineering and Project Management Organized by the University of New South Wales
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    • pp.368-375
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    • 2011
  • Along with the growing interest in greenhouse gas reduction, the effect of energy reduction from green buildings is gaining interest as well. However, green buildings may have difficulties in financing due to their high initial construction costs. With this in mind, the objective of this study is to suggest a financing model for green building projects with a governmental guarantee based on CER (Certified Emission Reduction). In other words, in the financing model, the government provides a guarantee for the increased costs of a green building project in return for CER. The suggested financing model was tested and found feasible for implementing green building projects. In addition, the model in this study is applicable to private projects because guarantee has its return. To utilize CER as a return for a financial guarantee, however, certification of CDMs (Clean Development Mechanism) for green buildings must be vitalized.

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The Effects of NOx Emission Reductions from Power Plants over the Eastern United States

  • Ghim, Young-Sung;Chang, Young-Soo;David G. Streets
    • Journal of Korean Society for Atmospheric Environment
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    • 제15권E호
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    • pp.45-54
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    • 1999
  • The effectiveness of NOx emission reductions from power plants to alleviate persistent ozone nonattainment in the esterm Unites States was investigated with a focus on the Northeast Corridor, centered on New York City. The 1995 ozone episode along with the 2007 base case emission scenario was used with the Variable-Grid Urban Airshed Model(UAM-V) to determine ozone concentrations. Several scenarios based on EPA's proposal issued on October 10, 1997 were examined. Although it is widely recognized that the eastern United States includes a large Nox-sensitive region(e.g., Sillman, 1999), the study revealed that reducing NOx emissions from power plants beyond 500 miles (800km) was not effective for reducing ozone exceedances in the region. It was also found that NOx emissions from power plants play an important role in local ozone exceedances.

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이산화황 저감을 위한 시군 단위의 이산화황 배출량 산정에 관한 기초연구 (A Fundamental Study on Sulfur Dioxide Emission Estimation for the Mitigation of Sulfur Dioxide in Korea - On City and County Levels)

  • 이동근;김용준;정태용;전성우
    • 환경영향평가
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    • 제8권4호
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    • pp.73-79
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    • 1999
  • This study was conducted as a preliminary study for the mitigation of acid rain which has been a serious environmental problem in both regional and global scales. In this study, sulfur dioxide emission was estimated at city and gun(county) level. Also, this study represents the estimated sulfur dioxide emission with using a geographical information system which includes administrative boundaries. The results of this study are expected to serve as a sulfur dioxide emission mitigation policy guidance and a basis of a future emission model and a comprehensive global warming model. Moreover, thanks to the geographical information system, the results are also expected to help carrying out clear policy goals and setting up sulfur dioxide emission mitigation measures in regional environmental planning processes, which currently have been implemented in some cities and counties in Korea.

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Model Evaluation based on a Relationship Analysis between the Emission and Concentration of Atmospheric Ammonia in the Kanto Region of Japan

  • SAKURAI, Tatsuya;SUZUKI, Takeru;YOSHIOKA, Misato
    • Asian Journal of Atmospheric Environment
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    • 제12권1호
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    • pp.59-66
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    • 2018
  • This study aims to evaluate the performance of the Air Quality Model (AQM) for the seasonal and spatial distribution of the $NH_3$ concentration in the atmosphere. To obtain observational data for the model validation, observations based on biweekly sampling have been conducted using passive samplers since April 2015 at multiple monitoring sites in the Tokyo metropolitan area. AQM, built based on WRF/CMAQ, was applied to predict the $NH_3$ concentration observed from April 2015 to March 2016. The simulation domain includes the Kanto region, which is the most densely populated area in Japan. Because the area also contains large amount of livestock, especially in its northern part, the density of the $NH_3$ emissions derived from human activities and agriculture there are estimated to be the highest in Japan. In the model validation, the model overestimated the observed $NH_3$ concentration in the summer season and underestimated it in the winter season. In particular, the overestimation in the summer was remarkable at a rural site (Komae) in Tokyo. It was found that the overestimation at Komae was caused by the transportation of $NH_3$ emitted in the northern part of the Kanto region during the night. It is suggested that the emission input used in this study overestimated the $NH_3$ emission from human sources around the Tokyo suburbs and agricultural sources in the northern part of the Kanto region in the summer season. In addition, the current emission inventories might overestimate the difference of the agricultural $NH_3$ emissions among seasons. Because the overestimation of $NH_3$ in the summer causes an overestimation of $NO_3{^-}$ in $PM_{2.5}$ in the AQM simulation, further investigation is necessary for the seasonal variation in the $NH_3$ emissions.