• Journal of Korean Society of Transportation
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• v.34 no.5
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• pp.377-393
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• 2016

Vehicle emissions have been known as a critical factor to give a negative impact on the public health. In particular, particulate matters(PM) and NOx are highly related with respiratory diseases such as asthma. This study aimed at analyzing spatio-temporal patterns of PM and NOx generated from urban freeway traffic. MOVES, which is a well-known emission analysis tool presented by US Environmental Protection Agency(EPA), was applied to estimate PM and NOx based on traffic volume and speed data obtained from Seoul Outer Ring Expressway during January~June, 2012. K-means clustering analysis was used for categorizing the Level of Vehicle Emissions(LOVE) to support more systematical identification of the significance of emissions. Then, spatio-temporal analyses of estimated emissions were conducted by LOVE. Finally, this study proposed a set of strategies to reduce both PM and NOx to enhance public health based on analysis results.

• Environmental and Resource Economics Review
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• v.31 no.1
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• pp.31-50
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• 2022

This paper estimates the price of standard waste bags that satisfies the polluter pays principle. Unlike previous studies, this paper suggests a method that can find new equilibrium prices using a structural relationship between the demand and cost function for the wastes. To do this, we employ the fixed-point iteration. The main findings of this paper are as follows. Assuming that the polluter pays principle is achieved at the average cost for the waste treatment, the price need to be set at a level about 3.12 times higher than the current one. The estimation result using a structural model, however, shows that the price should be set at a level four times higher than the present. This results are because the quantities reduced of the wastes make the cost per quantity of wastes due to the fixed costs increase. If applying the estimated price to the demand function, the amount of discharge of waste generated nationwide can be reduced by 10%.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.168-168
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• 2022

최근 인간의 인위적인 활동으로 인하여 대기 중 온실가스의 배출량이 급격히 증가하였고, 이에 따라 전 세계적인 지구온난화로 인한 이상기후가 발생하고 있다. 특히, 홍수, 가뭄, 태풍 등 극한 수문 현상들의 변화가 두드러지게 나타나고 있으며, 강우 특성의 변화는 극한 수문 현상의 직접적인 요인으로 작용한다. 현재 확률강우량을 추정하는 가장 보편적인 방법은 과거 강우 자료를 바탕으로 빈도해석을 수행하고 있으며, 지속기간별로 산정한 확률강우량은 강우강도-지속기간-빈도(Intensity-Duration-Frequency, IDF)곡선으로 유도하여 수공구조물 설계에 사용되고 있다. 그러나 기후변화의 영향으로 집중호우와 잦은 홍수로 인한 피해가 증가함에 따라 과거 강우자료를 바탕으로 확률강우강도를 활용하여 확률 강우량을 추정하는 것이 매우 어려워졌다. 따라서, 본 연구에서는 1975년도부터 2020년도까지의 현재기간 모의자료, 2021년도부터 2100년도까지의 미래 강우자료와 기후변화 시나리오인 RCP 4.5와 RCP 8.5를 활용한다. 또한, 부산지역을 대상으로 비정상성 GEV 모형을 활용하여 지역빈도해석을 수행하였고, 미래 설계강우량 산정을 위한 비정상성 IDF곡선을 유도하여 분석하고자 한다.

• Journal of Korean Society of Transportation
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• v.31 no.2
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• pp.69-79
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• 2013

This study suggests a specific methodology to analyze how emission impacts on regional emission concentrations in accordance with the change of weather conditions, and the need of its application. The suggested methodology was applied to a transportation network of Pochun area in Gyenggido as an example. The methodology contains two types of analytical models; 1) dispersion analysis based on emission from traffic, and 2) dispersion analysis based on the combination between emission from traffic and existing emission in the air. By doing so, it is expected that the comprehensive influence of emission on traffic network and its surrounding areas can be identified. In addition, it might be useful for us to apply environmental risk assessment based on the effect of emission on the people.

• Environmental and Resource Economics Review
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• v.30 no.1
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• pp.79-105
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• 2021

In the circumstance of standing out the climate change issue, the purpose of this study is to compare the efficiency of offshore and coastal fisheries according to whether or not greenhouse gas (GHG) emissions are considered, and then to present policy alternatives based on the analysis results. For analysis, the traditional data envelopment analysis (DEA), the slacks-based measure (SBM) and the SBM-undesirable models were used, and robust analysis of variance (ANOVA) and Wilcoxon Signed-rank tests were performed. As a result, the study showed that the average efficiency of fisheries decreased as the traditional DEA extended to the SBM model considering the slack and the SBM-undesirable model including the GHG emissions. Specifically, the average efficiency of the traditional DEA model, SBM model, and SBM-undesirable model was analyzed as 0.7350, 0.5820 and 0.4976 respectively. In addition, the results of the robust ANOVA and Wilcoxon Signed-rank tests all showed that there are statistically significant differences in efficiency between offshore and coastal fisheries as well as among traditional DEA, SBM and SBM-undesirable models. As a policy alternative to the analysis, it was suggested that to improve the efficiency of coastal and offshore fisheries, it is necessary to actively implement the new fishing vessel project and develop smart and electric hybrid fishing vessels.

• Environmental and Resource Economics Review
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• v.31 no.1
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• pp.1-30
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• 2022

This study is to investigate consumers' acceptance and their willingness to pay for clothes made of materials with low microplastic emissions as an alternative to synthetic fibers made of plastics by applying the contingent valuation method. A nationwide web-based survey was conducted for 1,052 respondents proportional to region, age, and gender during February 2021. More than 75% of the sample expressed intentions to purchase microplastic emission-reducing clothing instead of synthetic fiber clothing, and more than 80% of them have stated their willingness to pay for additional prices. A variation of Heckman's sample selection model was adopted to estimate factors affecting respondents' intentions to pay for additional prices, in which the probit model of intentions to purchase the clothing with alternative materials was used as a sample selection equation. While respondents were sensitive to the amounts of price increases suggested in the CV scenario, they expressed high acceptance and preferences for eco-friendly materials regardless of the microplastic emission-reducing levels. Consumers in the circular economy were willing to pay for the range of 41,000 to 51,000 won for a pair of clothing made with microplastic emission-reducing materials. In addition, as the microplastic emission-reducing rate has increased from 50% to 80%, the willingness to pay estimates were also significantly increased, ranging from 41,000~50,500 to 42,000~51,700 won.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.10 no.5
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• pp.113-123
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• 2011

Recently, the global warming problem has arised around world, many nations has set up a various regulations for decreasing $CO_2$. In particular, $CO_2$ emissions reduction effect is very powerful in transport part, so there is a rising interest about development of green car, or electric vehicle in auto industry. For this reason, it is important to make a strategy for charging infra and forcast electric power demand, but it hasn't introduced about demand forecasting electric vehicle. Thus, this paper presents a demand forecasting for electric vehicles using choice based multigeneration diffusion model. In this paper, it estimates innovation coefficient, immitation coefficient in Bass model by using hybrid car market data and forecast electric vehicle market by year using potential demand market through SP(Stated Preference) experiment. Also, It facilitates more accurate demand forecasting electric vehicle market refelcting multigeneration diffusion model in accordance with attribute progress in development of electric vehicle. Through demand forecasting methodology in this paper, it can be utilized power supply and building a charging infra in the future.

• Magazine of the Korean Society of Agricultural Engineers
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• v.44 no.5
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• pp.106-115
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• 2002

The objective of this study was to evaluate the GLEAMS-PADDY model by applying it to estimate nutrients loading from paddy-field areas. Field data from Soro region of Chungbuk province during May to September 1999 were used for model application. Field data collected include the amounts of rainfall, irrigation water, drainage water, ET, and Percolation in hydrology Part. T-N and T-P concentrations in the rain water, irrigation water, ponded water, drainage water and percolated water were measured. The comparisons of observed and simulated water balance components and nutrient concentrations showed reasonably good agreements and the GLEAMS-PADDY model may be used to simulate nutrients loading from paddy fields. Futher research was suggested to include the erosion submodel in the GLEAMS-PADDY model to better simulate the nutrient behavior. In addition, the pesticide submodel also recommended to be included in order to simulate the various pesticide applied in paddy fields.

• Magazine of the Korean Society of Agricultural Engineers
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• v.44 no.4
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• pp.51-61
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• 2002

The objective of this study is to develop GLEANS-PADDY model to predict nutrients loading from paddy-field areas. This model is developed by modifying the GLEANS model which is used for uplands, and composed of hydrology and nutrient submodels. The optimal field size for CLEANS-PADDY model application is about up to 50 ha with mild slope, relatively homogeneous Soils and spatially rainfall, and a single crop farming. The CLEAMS model is modified to handle ponded soil surface condition and saturated soil profile in paddy field. In the hydrology submodel of the CLEAMS-PADDY model. the ponded depth routing method is used to handle the ponded water condition of paddy field. To compute potential evapotranspiration the FAO-24 Corrected Blaney-Criddle method is used for paddy field instead of Penman-Monteith method in the CLEAMS model. In the nutrients submodel of the CLEAMS-PADDY model, the soil was assumed saturated and soil profile in the root zone was divided into oxidized and reduced zones.

• Korea Trade Review
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• v.48 no.4
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• pp.209-232
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• 2023

This study aims to estimate the export performance factors of Korean Steel Products to the EU and the expected changes in exports according to the CBAM(Carbon Border Adjustment Mechanism). the factors influencing the export performance of Korean Steel Products to the EU were analyzed using a Gravity Model, and the expected export amount in the case of a Carbon Tax was calculated assuming that the CBAM would be implemented in 2026, As a result, it was empirically analyzed that economic growth, population growth, exchange rate and manufacturing production index of each EU country have a positive effect on exports in Korea, and it was analyzed that the effects of the single market and system due to the EU's economic community were also helpful in increasing exports but the Carbon Tax is imposed in 2026, reducing Korea's steel exports by about -3.6% to -5.7%