• 한국조경학회지
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• 제47권6호
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• pp.67-77
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• 2019

본 연구는 미세먼지 문제가 심각한 도심에서 도시근린공원의 중심이 입구에 비해 어느 정도 저감된 공간인지 분석해 보는데 목적이 있다. 또한 공원중앙의 공간 차폐율과 미세먼지 저감율과의 상관관계를 실험을 통해 도출해 내고자 하였다. 대구시 수성구 평지형 도시근린공원 7개를 대상으로 3일동안 같은 장소에서 측정하였다. 연구결과, 첫째, 도시근린공원 중심은 입구보다 온도는 평균 1.05℃ 낮고, 습도는 평균 2.57% 높았다. 둘째, 미세먼지 감소율은 PM1 17.09%, PM2.5 17.65%, PM10 14.99%의 저감율로 초미세먼지가 더 높은 것으로 분석되었으며, 공원의 규모가 작을수록 저감효과가 더 높았다. 또한 기상청발표 미세먼지 농도가 높은날일수록 공원중앙에서의 저감율은 낮았으며, 공원입구의 농도가 높을수록 저감율은 높았다. 셋째, 공원중심에서 공간차폐율이 높을수록 미세먼지 저감효과가 높은 것으로 파악되었다. 도시근린공원의 미세먼지 저감정도와 공간차폐율과의 상관관계를 파악할 수 있었으며, 더 확대된 실험데이터들의 기초가 되기를 기대한다.

• Journal of information and communication convergence engineering
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• 제19권4호
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• pp.241-247
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• 2021

Particulate matter has emerged as a serious global problem, necessitating highly reliable information on the matter. Therefore, various algorithms have been used in studies to predict particulate matter. In this study, we compared the prediction performance of neural network models that have been actively studied for particulate matter prediction. Among the neural network algorithms, a deep neural network (DNN), a recurrent neural network, and long short-term memory were used to design the optimal prediction model using a hyper-parameter search. In the comparative analysis of the prediction performance of each model, the DNN model showed a lower root mean square error (RMSE) than the other algorithms in the performance comparison using the RMSE and the level of accuracy as metrics for evaluation. The stability of the recurrent neural network was slightly lower than that of the other algorithms, although the accuracy was higher.

• 한국자동차공학회논문집
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• 제17권3호
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• pp.29-34
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• 2009

Diesel particulate filter (DPF) has been developed to optimize engine out emission, especially particulate matter (PM). One of the main important factors for developing the DPF is estimation of soot mass being accumulated inside the DPF. Evaluation of pressure drop over the DPF is a simple way to estimate the accumulated soot mass but its accuracy is known to be limited to certain vehicle operating conditions. The method to compensate drawback is adoption of integrating time history of the engine out PM and burning soot. Present study demonstrates current status of the soot estimation methods including the results from the engine test benches and vehicles.

• 한국환경복원기술학회지
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• 제25권4호
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• pp.15-31
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• 2022

The Green Purification Unit System (GPUS) is a green infrastructure facility applicable to the roadside to reduce particulate matter from road traffic. This study introduces two types of GPUS (type1 and type2) and assesses the performance and maintenance costs of each of them. The GPUS's performance analysis used the data collected in November 2021 after the installation of the GPUS type1 and type2 at the study site in Suwon. The changes in the particulate matter concentration near the GPUS were measured. The maintenance cost of GPUS type1 and type2 was assessed by calculating the initial installation cost and the management and repair cost after installation. The results of the performance analysis showed that the GPUS type1, which was manufactured by combining plants and electric dust collectors, had a superior particulate matter reduction performance. In particular, type1 produced a greater effect of particulate matter reduction in the time with a high concentration (50㎍/m³ or higher) of particulate matter due to the operation of electric dust collectors. GPUS type2, which was designed in the form of a plant wall without applying an electric dust collector, showed lower reduction performance than type1 but showed sufficiently improved performance compared to the existing band green area. Meanwhile, the GPUS type1 had three times higher costs for the initial installation than GPUS type2. In terms of costs for managing and repairing, it was evaluated that type1 would be slightly more costly than type2. Finally, this study discussed the applicability of two types of GPUS based on the result of the analysis of their particulate matter performance and maintenance cost at the same time. Since GPUS type2 has a cheaper cost than type1, it could be more economical. However, in the area suffering a high concentration of particulate matter, GPUS type1 would be more effective than type2. Therefore, the choice of GPUS types should rely on the status of particulate matter concentration in the area where GPUS is being installed.

• 한국환경과학회지
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• 제14권11호
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• pp.1063-1069
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• 2005

2004년 12월 2일부터 8일까지 한국 남해의 표층 부유물질의 분포를 초겨울의 해황과 관련하여 조사하였다. 쓰시마와 제주도를 잇는 지선을 중심으로 전선이 형성되었으며, 이 전선을 중심으로 한국 남해의 연안수와 외양의 쓰시마난류수로 구분되었다. 연안역은 표층에서 저층까지 거의 균일한 수괴 분포를 보였으며, 외양은 성층이 형성되어 있었다. 그리고 부유물질은 연직혼합된 연안역에서는 5.0-6.5 mg/l였으며, 성층이 형성된 외양역은 4.5-5.0 mg/1의 분포를 나타내었다. 초겨울 한국 남해는 표면 냉각 효과와 바람에 의해서 저층의 부유물질이 충분히 재부유할 수 있는 환경이었음을 나타내고 있었다. 또한 관측 기간동안 비록 조류가 비교적 약한 소조기 이었음에도 불구하고 열플럭스에 의한 냉각효과와 바람에 의한 혼합 효과가 강하여 표층과 저층이 혼합하기에 용이하였음을 나타내었다. 이에 따라 수심이 얕은 연안역에서는 저층 퇴적물의 재부유에 의해서 부유 물질이 증가될 수 있음을 시사하고 있었다.

• 한국멀티미디어학회논문지
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• 제20권8호
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• pp.1208-1215
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• 2017

Recently, people's attention and worries about fine particulate matter have been increasing. Due to the construction and maintenance costs, there are insufficient air quality monitoring stations. As a result, people have limited information about the concentration of fine particulate matter, depending on the location. Studies have been undertaken to estimate the fine particle concentrations in areas without a measurement station. Yet there are limitations in that the estimate cannot take account of other factors that affect the concentration of fine particle. In order to solve these problems, we propose a framework for estimating the concentration of fine particulate matter of a specific area using meteorological data and traffic data. Since there are more grids without a monitor station than grids with a monitor station, we used a domain adversarial neural network based on the domain adaptation method. The features extracted from meteorological data and traffic data are learned in the network, and the air quality index of the corresponding area is then predicted by the generated model. Experimental results demonstrate that the proposed method performs better as the number of source data increases than the method using conditional random fields.

• 자원리싸이클링
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• 제29권1호
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• pp.62-69
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• 2020

산업단지 내 입주기업들의 제조공정에서는 미세먼지 생성 원인물질인 질산화물(NOx), 황산화물(SOx), 휘발성 유기화합물(VOCs) 등이 다양한 형태로 배출되고 있다. 본 연구에서는 효과적인 산업단지 미세먼지 저감을 위해 산재해 있는 공공데이터를 활용하여 산업단지별 특성을 분석하고 미세먼지 감축 기술과 매칭하여 미세먼지를 감축할 수 있는 최적화 감축 방안을 제시하였다. 데이터를 기반으로 한 산업단지 별 맞춤형 기술 및 설비 적용은 미세먼지 전구물질을 공정에서 사전에 감축함으로써 산업단지 미세먼지 뿐만 아니라 제조업 미세먼지 감축을 위한 효과적인 대안이 될 것이다.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2019년도 춘계학술대회
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• pp.543-545
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• 2019

미세먼지에 따른 행동 지침을 위해 AQI 지수가 개발되어 사용되고 있다. AQI 지수에 대한 정보는 일반인들도 쉽게 제공 받을 수 있으며, 이에 따라 AQI 지수를 기반으로 다양한 서비스가 제공되고 있다. 서비스가 제공됨에 따라 정확한 AQI 지수의 예측이 필요하다. 본 논문에서는 미세먼지의 AQI 지수를 예측하기 위해 순환 신경망을 이용하여 분류 모델의 설계를 진행한다. 설계된 모델의 평가를 위해 실제 미세먼지와 예측치의 AQI 지수를 비교한다.

• 한국환경보건학회지
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• 제32권6호
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• pp.533-538
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• 2006

The nano-particles are known to influence the environmental protection and human health. The relationships between transient vehicle operation and nano-particle emissions are not well-known, especially for diesel passenger vehicles with DPF(Diesel Particulate Filter). In this study, two diesel passenger vehicles were measured on a chassis dynamometer test bench. The particulate matter (PM) emission of these vehicles was investigated by number and mass measurement. The mass of the total PM was evaluated using the standard gravimetric measurement method, and the total number concentrations were measured on a ECE15+EUDC driving cycle using Condensation Particle Counter (CPC). According to the investigation results, total number concentration was $1.14{\times}10^{11}$M and mass concentration was 0.71mg/km. About 99% of total number concentration was emitted during the $0{\sim}400s$ because of engine cold condition. In high temperature and high speed duration, the particulate matter was increased but particle concentration was emitted not yet except initial engine cold condition According to DPF performance deterioration, the particulate matter was emitted 2 times and particle concentration was emitted 32 times. Thus DPF performance deterioration affects particle concentration more than PM.

• 대한약학회:학술대회논문집
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• 대한약학회 2003년도 Proceedings of the Convention of the Pharmaceutical Society of Korea Vol.1
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• pp.165.1-165.1
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• 2003

This research was designed to examine the presence of mutagenic/carcinogenic compounds in airborne pollutants in diesel particulate matter using an integrated biological approach. Respirable air borne particulate matter (PM2.5: <2.5mm) was collected from diesel engine exhaust using a high-volume sampler equipped with a cascade impactor. (omitted)