• Journal of Forest and Environmental Science
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• v.33 no.4
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• pp.295-304
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• 2017

This study compared and analyzed the construction of a land use change matrix for the Intergovernmental Panel on Climate Change's (IPCC) land use, land use change, and forestry area (LULUCF). We used National Forest Inventory (NFI) permanent sample plots (with a sample intensity of 4 km) and permanent sample plots with 500 m sampling intensity. The land use change matrix was formed using the point sampling method, Level-2 Land Cover Maps, and forest aerial photographs (3rd and 4th series). The land use change matrix using the land cover map indicated that the annual change in area was the highest for forests and cropland; the cropland area decreased over time. We evaluated the uncertainty of the land use change matrix. Our results indicated that the forest land use, which had the most sampling, had the lowest uncertainty, while the grassland and wetlands had the highest uncertainty and the least sampling. The uncertainty was higher for the 4 km sampling intensity than for the 500 m sampling intensity, which indicates the importance of selecting the appropriate sample size when constructing a national land use change matrix.

• Journal of the Korea Society of Computer and Information
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• v.16 no.12
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• pp.167-174
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• 2011

This paper described the estimation methods of CO2 emission of vehicles. The important of energy and environment has emerged in the world, and the field of vehicle's development as well. CO2 was particularly the object of emission-regulation that caused of global warming. There are performance comparison methods by driving mileage, International Panel on Climate Change (IPCC) and chemical equation for the combustion of Octane. We took the measurement by getting data through OBD-II port from vehicle covered 5 km on road. We got the diagnosis information, specific mileage and fuel consumption in this experiment. We are able to expect similar CO2 emission by the methods in the normal speed driving. Also, we can make more realistic approach of CO2 emission by the method of estimation by IPCC and chemical equation for the combustion of Octane in rapid acceleration driving.

• Journal of Climate Change Research
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• v.9 no.3
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• pp.273-281
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• 2018

The purpose of this study is to consider the effectiveness of continuous $CO_2$ emission monitoring in waste incinerator. To prevent global warming, many countries are trying to reduce $CO_2$, the main greenhouse gas. Currently, Korea is implementing an emission trading scheme to reduce $CO_2$, and waste incinerators are included in this scheme as major $CO_2$ sources. However, when using waste incinerators, $CO_2$ is discharged during incineration of various types of wastes, therefore it is very difficult to calculate the amount of emissions according to IPCC guidelines. In addition, the estimation of $CO_2$ emissions by calculation is known to lack of accuracy comparing with actual emissions. Currently, Korea is operating CleanSYS, which enables continuous measurement of gases emitted into the atmosphere. Therefore, it is possible to estimate the $CO_2$ emissions of waste incineration facilities. The IPCC, which published $CO_2$ emission calculation guidelines, recognizes that direct measurement of emission is a more advanced method in cases of various $CO_2$ emission sources such as a waste incineration facility. Also, Korean emission trading scheme guidelines allow estimation of $CO_2$ emissions by continuous measurement at waste incineration facilities. Therefore, this study considers the effectiveness of a direct measurement method by comparing the results of CleanSYS with the calculation method suggested by the IPCC guidelines.

• Journal of Korean Society of Transportation
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• v.32 no.6
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• pp.694-702
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• 2014

Since Greenhouse Gas Inventory & Research Center (GIR) of Korea was founded in 2010, the annual greenhouse gas inventory reports, one of the collections of GIR's major affairs, have been published from 2012. In the reports many items related to greenhouse gas emission quantities are included, but among them uncertainty values are replaced to basic values which IPCC guideline suggests. Even though IPCC guideline suggests the equations of each Tier level in details, the guideline recommends developing nation's own methodology on uncertainty which is closely related to statistical problems such as the estimation of a probability density function or Monte carlo methods. In the road transportation sector the emissions have been calculated by Tier 1 but the uncertainties have not been reported. This study introduce a bootstrap technique and Monte carlo method to estimates annual emission quantity and uncertainty, given activity data and emission factors such as annual traveled distances, fuel efficiencies and emission coefficients.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.32 no.2D
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• pp.167-174
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• 2012

Recently, the effort to reduce $CO_2$ emission concerning certified emission reductions (CERs) is progressing lively with the institute in the center through lifecycle. However, the technique for reduce $CO_2$ emission is the first stage yet and the technique is insufficient to calculate with accuracy it. Therefore, this study tries to develop the method to measure by actual time $CO_2$ emission of construction equipment using Zigbee sensor. To review the method that calculate $CO_2$ emission, have classified the impact factors that affect at $CO_2$ emission by IPCC guideline. It also has review the application of Zigbee sensor that use wireless data communication. The reviewed result get that the measuring objects are the $CO_2$ emssion, RPM and fuel consumption of equipment, there are needs to search the year of equipment, waiting time, kind of vehicle and fuel that affect to $CO_2$ emission.

• Environmental Engineering Research
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• v.18 no.1
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• pp.9-20
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• 2013

In this paper, the rainfall elasticity of streamflow was estimated to quantify the effects of climate change on 5 river basins. Rainfall elasticity denotes the sensitivity of annual streamflow for the variations of potential annual rainfall. This is a simple, useful method that evaluates how the balance of a water cycle on river basins changes due to long-term climate change and offers information to manage water resources and environment systems. The elasticity method was first used by Schaake in 1990 and is commonly used in the United States and Australia. A semi-distributed hydrological model (SLURP, semi-distributed land use-based runoff processes) was used to simulate the variations of area streamflow, and potential evapotranspiration. A nonparametric method was then used to estimate the rainfall elasticity on five river basins of Korea. In addition, the A2 (SRES IPCC AR4, Special Report on Emission Scenarios IPCC Fourth Assessment Report) climate change scenario and stochastic downscaling technique were used to create a high-resolution weather change scenario in river basins, and the effects of climate change on the rainfall elasticity of each basin were then analyzed.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.22 no.4
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• pp.25-33
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• 2014

As global warming becoming an environmentally serious issue, more attention is drawn to fuel consumption which is the direct source of green house gas emission. The fuel consumption by aircraft operation is not an exception. Motivated by the societal and environmental context, this paper explains a method for estimation of aircraft fuel consumed during their flights as well as the computational process using real flight track data. Applying so-called 'Total Energy Model' along with aircraft specific parameters provided in EUROCONTROL's Base of Aircraft Data (BADA) to aircraft radar track data, we estimate fuel consumption of individual aircraft flown between Gimpo and Jeju airports. We then assess the estimation accuracy by comparing the estimated fuel consumption with the actual one collected from an airline. The computational results are quite encouraging in that the method is able to estimate the actual fuel consumption within ${\pm}6{\sim}11%$ of error margin. The limitations and possible enhancements of the method are also discussed.

• Proceedings of the KSRS Conference
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• 2008.10a
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• pp.200-203
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• 2008

The objective of this study is to produce the $CO_2$ (carbon dioxide) absorption map using KOMPSAT-2 imagery. For estimating the amount of $CO_2$ absorption, the stand biomass of forest was estimated with the total weight, which was the sum of individual tree weight. Individual tree volumes could be estimated by the crown width extracted from KOMPSAT-2 imagery. In particular, the carbon conversion index and the ratio of the $CO_2$ molecular weight to the C atomic weight, reported in the IPCC (Intergovernmental Panel on Climate Change) guideline, was used to convert the stand biomass into the amount of $CO_2$ absorption. Thereafter, the KOMPSAT-2 imagery was classified with the SBC (segment based classification) method in order to quantify $CO_2$ absorption by tree species. As a result, the map of $CO_2$ absorption was produced and the amount of $CO_2$ absorption was estimated by tree species.

• Journal of the Korean Society for Railway
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• v.15 no.4
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• pp.408-412
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• 2012

Recently, new climate change mechanism after 2020 year has been accepted with the parties, and so government is pushing ahead the GHG reduction policies to achieve the effective results. Especially, it is essential to enhance the role of railroad in the public traffic system as well as to develop new cars with high energy efficiency for the GHG reduction of transportation sector. Thus, the calculation method of GHG emission of railroad should be established to manage the emission continuously. In this study, the calculation method of GHG emission of railroad was defined with Tier level considering its emission sources to refer to 2006 IPCC guideline for national GHG inventories. Also, the GHG emission of railroad at Tier 1 level was investigated using the activity data related to the amount of diesel and electricity consumption from 2008 to 2010. As a result, total GHG emission in 2010 was about 2,060 thousands ton CO2e, which have 73% of electricity and 27% of diesel. In future, the plans on the GHG reduction of railroad will be accomplished by the analysis of the detailed trends on the basis of the emission management of Tier 3 level under operating patterns. Therefore, it is important to develop the specific GHG emission factors of railroad in advance.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.11
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• pp.294-304
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• 2019

Abstract Greenhouse Gas (GHG) emissions from agriculture and forestry sources in the energy sector have been estimated based on a top-down approach, which is an efficient way to estimate GHG emissions with the limited number of emission factors and activity data. On the other hand, for GHG abatement policies, more detailed information and data on GHG emissions are required. This study discusses how to improve the estimates of GHG emissions from the agricultural and forestry sources in the energy sector. To this end, this paper reviews the current estimation method of GHG emissions and presents three suggestions to enhance the current method. First, the development of country specific emission factors and corresponding activity data is proposed based on the 2006 IPCC Guidelines, National Greenhouse Gas Inventory Reports from other countries, and Domestic Statistics. Second, the uncertainty in CO₂ emissions from agriculture in energy sector based on 2006 IPCC Guidelines is estimated, and ways of reducing the uncertainty in CO₂ emissions are suggested. Finally, a potential way to reflect the GHG emissions from the use of renewable energy is suggested.