• Journal of Korean Society of Environmental Engineers
• /
• v.39 no.4
• /
• pp.220-228
• /
• 2017

Since the fine particulate matters occurred from mainly combustion in industry and road transport effect to human respiratory health, the interest and importance are getting increased. In 2013, the World Health Organization (WHO) concluded that outdoor air pollution is carcinogenic to humans, with the particulate matter component ($PM_{10}$ and $PM_{2.5}$) of air pollution most closely associated with increased cancer incidence, especially cancer of the lung. Therefore, many researches have been studied in the quantification and data development of fine particulate matters. Currently, the Ministry of Environment and cities/regions are developing the fine particulate matter data and air emission information. Particularly just $PM_{10}$ and $PM_{2.5}$ data is used in the fine particulate matters warning and alert. The data of NOx, SOx, $NH_3$, which have the particulate matter formation potential are not well considered. Also, the researches related with particulate matter formation potential and respiratory effects by industrial sectors and cities/regions are not conducted well. Therefore, the purpose of this study is to evaluate and calculate particulate matter formation potential and respiratory effects in 11 industrial sectors and cities using NOx, SOx, $PM_{10}$, $NH_3$ data (developed by Ministry of Environment and National Institute of Environmental Research) in 2001 and 2013. The results of this study will be provided the particulate matter formation potential and respiratory effects and will be used for future the fine particulate matter researches.

• Journal of Korean Society of Occupational and Environmental Hygiene
• /
• v.30 no.2
• /
• pp.236-248
• /
• 2020

Objectives: The purpose of this study was to evaluate the concentrations of particulate matter generated during coffee roasting and to study various factors affecting the concentrations. Methods: Differences in concentration levels were investigated based on various factors to understand the emission rates of particulate matter over time and to compare the mass and number concentrations according to their size. Sampling was performed in closed laboratories without the operation of air conditioning or ventilation. Optical Particle Sizer(OPS) was used as a measuring device. An OPS measures using a light-scattering method. Sampling was performed for sixty minutes at one-minute intervals. The background concentration was measured for about 30 minutes before starting of coffee roasting. The concentrations of particulate matter generated during coffee roasting were monitored until roasted coffee beans were removed from the roaster and cooled down. Several factors affecting the concentrations of particulate matter were investigated, which includes the origins of green beans, the roasting level, and the input amount of green beans. Results: The results of this study may be summarized as follows: 1) There was no difference in particulate matter concentration levels by the origin of the green beans, but a statistically significant difference in concentration levels by roasting level and the input amount of green beans; The higher the roasting level, the higher was the particulate matter concentration. The more green beans we put in the roaster, the higher were the concentrations; 2) The PM10 mass concentrations increased over time. The average concentration after roasting was higher than the average concentration during roasting; 3) In the distribution of mass and number concentration by particle diameter, the majority of particles was below 2.5 ㎛. Conclusions: Persons who work in roastery cafes can be exposed to high concentrations of particulate matter. Therefore, personal exposure and risk assessment should be conducted for roastery cafe workers.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2019.05a
• /
• pp.341-343
• /
• 2019

As the generation of high concentration particulate matter increases, much attention is focused on the prediction of particulate matter. Particulate matter refers to particulate matter less than $10{\mu}m$ diameter in the atmosphere and is affected by weather changes such as temperature, relative humidity and wind speed. Therefore, various studies have been conducted to analyze the correlation with weather information for particulate matter prediction. However, the nonlinear time series distribution of particulate matter increases the complexity of the prediction model and can lead to inaccurate predictions. In this paper, we try to mitigate the nonlinear characteristics of particulate matter by using cluster algorithm and classification algorithm of machine learning. The machine learning algorithms used are agglomerative clustering, density-based spatial clustering of applications with noise(DBSCAN).

• The Journal of Internal Korean Medicine
• /
• v.44 no.3
• /
• pp.418-438
• /
• 2023

Objective: This study was conducted to review the effects of herbal medicine on respiratory diseases induced by the treatment of particulate matter in in vivo animal models. Methods: Literature searches were performed in seven databases (Pubmed, Embase, Cochrane Library, KISS, KTKP, OASIS, and ScienceON). After the searched studies were screened based on the inclusion/exclusion criteria, the publication date, origin, used animals, induction of particulate matter models, herbal medicine used for intervention, study design, outcome measure, and results of studies were analyzed. Results: Among a total of 972 studies primarily searched, 34 studies were finally included in our study. Of this number, 29 studies induced animal models by using only particulate matter, and 5 studies induced animal models with respiratory diseases, such as asthma and chronic obstructive pulmonary disease, by using particulate matter and other materials. In the selected studies, the treatments of herbal medicine in particulate matter models suppressed oxidative stress and inflammation in lung tissue, bronchoalveolar lavage fluid, and blood as well as lung injury in histological analysis. Conclusion: The results of this study suggest that herbal medicine is effective in treating respiratory diseases induced by particulate matter. These results are also expected to be useful data for designing further studies. However, more systematically designed in vivo studies related to particulate matter are needed.

• Journal of Society of Preventive Korean Medicine
• /
• v.22 no.1
• /
• pp.69-80
• /
• 2018

Objectives : This paper examines the effects of Particulate Matter on human bodies and the possibility of treating them with Chinese or Korean medicines. Methods : This paper categorizes the diseases caused by Particulate Matter, as well as the causes, pathology, prevention methods, and effectiveness of treatments by Chinese and Korean medicines. Based on these results, it analyzes whether such diseases can be managed by Chinese and Korean medicine. Results : Particulate Matter is known to affect respiratory organs, skin, circulatory system, nervous system, gestational diabetes, and other parts of the human body. While studies show evidence that treatments by Chinese and Korean medicines can reduce symptoms of some diseases and improve bodily functions that are damaged by Particulate Matter, there is no statistically significant evidence that they can provide fundamental treatments nor treat irreversible damages. Conclusion : Currently, there is no definite evidence that Chinese and Korean medicine can treat symptoms and diseases caused by Particulate Matter. Therefore, some Korean medicine doctors' arguments that Korean medicine is effective in treating such diseases are problematic, and thus, there is a need for much research in this field.

• Journal of Auto-vehicle Safety Association
• /
• v.11 no.1
• /
• pp.36-39
• /
• 2019

The particulate matter that was emitted always come up by atmospheric environmental problem. Running on the road vehicles must have regular inspection at regular period and make sure the emissions of exhaust gases exceed the legal standards. Emission test for the atmospheric environment, but it is not free from the particulate matter. Currently, emission test of vehicle inspection is divided into regular inspection and close inspection. Regular inspection and close inspection differ not only the method of emission test, but also the facility standards that must have for this inspection. According to the "Regulations on the Implementation of Comprehensive vehicle Inspection, etc.", close inspection must have trapping device that is trap particulate matter by emission test to vehicle. However, regular inspection is different. Regular inspection do not specify any criteria for trapping facilities. Therefore, this study is confirm how to prevent the emission of particulate matter to the atmosphere during the year when mandatory trapping facilities are required to trapped particulate matter in the regular inspection.

• 한국해양학회지
• /
• v.7 no.2
• /
• pp.47-58
• /
• 1972

Densities and composition of phytoplankton and zooplankton, concentrations of particulate organic carbon, particulate organic nitrogen, and particulate inorganic matter were determined in the coastal area of Ko-ri during one year. There are peaks of densities of plankton organisms in summer, autumn, and spring Concentrations of particulate organic carbon ranged from 35 to 3,785 mg/㎥ (averaging 868mg/㎥ ), particulate organic nitrogen ranged from 4.4 to 158mg/㎥ (averaging 45mg/㎥), inorganic suspended matter ranged from 0.6 to 11.6 mg/L (averaging 5.7mg/L), and the carbon-nitrogen ratios of the suspended matter were varied from 0.5 to 231(averaging 35), with each seasonal cycle. The phytoplankton density and particulate organic carbon were possitively correlated from March to November, negatively from December to February, and the zooplankton dinsity and particulate organic nitrogen were well correlated.

• Journal of the Korean earth science society
• /
• v.36 no.1
• /
• pp.125-135
• /
• 2015

The purpose of this study were to sample particulate matter and analyze its elements and microorganisms for secondary school science project. The particulate matter was sampled on the rooftop a four-store building at a university in Chungju province. A simplified capturing system was developed with the parts, motor-pump, innet, $1.0{\mu}m$ teflon filter, filter-holder, etc. Using the system, this study had sampled particulate matter during Dec., 2013-Jun., 2014. Then, this study analyzed the elements and microorganisms of the sampled particulate matter. Results have been shown that the particulate matter derived China urban area is mainly consisted of the artificial pollutant, such as Cu, Zn, Cd, Ni, Pb. In addition, this study has been shown that microorganisms, such as bacteria and fungi, are included in the particulate matter. Therefore, this study suggests a new systemic investigation and monitoring about the particulate matter, specially originated from China. Also, this study provides a sample for secondary school science experiment.

• Journal of Auto-vehicle Safety Association
• /
• v.10 no.3
• /
• pp.27-31
• /
• 2018

The People have a bad perception about diesel vehicle because of serious air pollution, increase fine dust and global vehicle company's diesel gate. Starting the project in 2005, Ministry of Environment has been supporting that is exhaust gas reduction devices (DPF) on diesel vehicles in the metropolitan area. During the period of 2017.01.01 to 2017.12.31, 10,030 diesel vehicles installed exhaust gas reduction devices (DPF). Among them, 9,921 diesel vehicles that they have sufficient data for analysis were analyzed amount of particulate matter reduction before and after exhaust gas reduction devices (DPF) was installed. Opacity smoke meter measures the concentration of particulate matter. So concentration of particulate matter was converted into a mass unit, and then calculated the total amount of reduced particulate matter. It was estimated that social benefits is costs required to remove it from the total amount of particulate matter.

• Journal of Environmental Science International
• /
• v.29 no.6
• /
• pp.623-631
• /
• 2020

This study analyzes the effect of negative air ions on the concentration of airborne particulate matter and evaluates the expected purification efficiency of open spaces for particulate matter by investigating the amount of negative air ions generated by plants. This study establishes a negative air ion generation treatment environment, plant environment, and control environment to measure the purification efficiency of particulate matter under the conditions of each, analyzing the expected purification efficiency by designing a particulate matter purification model. Results show that the amount of generated negative air ion according to environment was negative air ion generation treatment environment > plant environment > control environment; this order also applies to the particulate matter purification efficiency. Moreover, it took 65 min for the negative ion generation treatment environment, 90 min for the plant environment, and 240 min for the control environment to reach the standard expected purification efficiency of particulate matter concentration of 960 mg/㎥ for PM₁₀. For PM_2.5, with the designated maximum concentration of 700 mg/㎥, it took 60 min for the negative ion generation treatment environment, 80 min for the plant environment, and more than 240 min for the control environment. Based on these results, the expected purification efficiency compared to the control environment was quadrupled in the negative ion generation treatment environment and tripled in the plant environment on average.