• The Journal of the Korea Contents Association
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• v.21 no.6
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• pp.620-628
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• 2021

This study was conducted to investigate public's perception of the effects of particulate matter (PM) in oral health and to provide specific motivation to prevent oral disease by PM. A total of 134 adults were selected as final analysis subjects from some people all over the country. The data collected is analyzed using SPSS 21.0 for windows. Frequency analysis was used to identify general characteristics and hygiene habit. For identifying perception of effects of PM on oral health, crossover analysis was used. The largest number of people recognized that the level of PM had deteriorated, compared to five years ago. That perception was highest among those in 30 years of age and service professions. Those who check the concentration of PM are more concerned with oral health care when the PM is occurred in high concentration. People who perceive PM as a threat to the oral health are more concerned about oral health care when the PM is occurred in high concentration. It is concerned those who are aware of the relationship between PM and oral health specifically manage the oral health to protect the oral cavity from PM.

• Korean Journal of Remote Sensing
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• v.37 no.5_3
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• pp.1461-1473
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• 2021

The purpose of this study is to ascertain how the level of resolution of land cover data affects on the local distribution and diffusion of fine dust. the CALPUFF model, which considers the spatio-temporal terrain conditions and changes in weather conditions, was used to estimate PM10 concentration in the Pyeongchon, Anyang-si, Gyeonggi-do. Three different resolutions of land cover data including 20 m, 50 m, and 100 m were compared as the input of the modeling. Using higher resolution land cover data (20 m), the wind speed of the simulated region was the largest and the PM10 concentration was the lowest. Through this study, we confirm that the resolution level of land-use/cover data can affect the local distribution and diffusion of fine dust, which can be detected by CALPUFF. Therefore, when using CALPUFF to simulate fine dust in the future, it can be suggested that checking the impact on spatial resolution according to the form of land cover in advance and proceeding with the simulation can achieve mote accurate results.

• Journal of the Korean earth science society
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• v.41 no.5
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• pp.447-458
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• 2020

This study presents the K-means clustering analysis-based classification of the meteorological patterns affecting the occurrence of high PM₁₀ concentration in the southeastern region of the Korean peninsula for the last five years (2014-2018). Regional differences in Busan, Ulsan, and Gyeongnam related to high PM₁₀ episodes, were clarified through the statistical comparison study using synoptic scale meteorological elements using NCEP (National Centers for Environmental Prediction/FNL (Final Operational Global Analysis) re-analysis meteorological data. Meteorological patterns were classified into a total of five categories (C1-C5). The incidence of each cluster was 24.8% (C1), 21.3% (C2), 20.4% (C3), 17.3% (C4), and 16.2% (C5), respectively. The high PM₁₀ concentration in the southeastern region resulted from long and short range transports (C1, C3, C5) from outside of the region, and the emissions (C2, C4) inside the region. In the high PM₁₀ episodes in Busan, Ulsan, and Gyeongnam regions, meteorological characteristics such as different geopotential height and wind speed at 500 hPa in each cluster and the change in the location of high pressure over Korean Peninsula is strongly associated with the dispersion of PM₁₀ around inventories in the region and the tendency of long-range transportation of PM₁₀ emitted from outside of region.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.7
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• pp.78-84
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• 2019

The purpose of this study is to investigate the relationship between risk perception, knowledge, risk attitude, and health promoting behaviors of nursing college students. The data were collected from 168 university students of four-year nursing college in the city of D, C. The collected data were analyzed by independent t-test, one way ANOVA and Pearson correlation coefficient using SPSS WIN 20.0 program. As a result this study knowledge of fine dust was statistically significant in respiratory disease(t=1.92, p<.001). The risk attitude toward fine dust was statistically significant in respiratory diseases(t=2.05 p=.042), subjective health status(F=3.79, p = .012). There was a significant positive correlation between risk perception of fine dust and knowledge(r=.340, p<.001), risk attitude(r=.492, p<.001), and health promoting behaviors(r=.354, p<.001). Knowledge of fine dust and risk attitude(r=.401, p<.001), health promoting behavior(r=.296, p<.001), risk attitude toward fine dust and health care behaviors(r=.550, p<.001) also showed a statistically significant positive correlation. Based on these results, it will be necessary to develop a program to improve awareness and knowledge of fine dusts in nursing college students and to improve health promoting behaviors.

• Journal of Digital Convergence
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• v.18 no.10
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• pp.517-526
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• 2020

This study aimed to understand the effects on preventive behavior intention to particulate matter by risk perception attitude and anxiety. Also, to expand applicable target and range of RPA model, add anxiety. To measure main variables of RPA model, did a survey with 570 college students. With a data, analyzed by correlation, one-way ANOVA and three-way ANOVA. As a result, perceived risk and efficacy effect on intention to preventive action and information seeking. And an anxiety factor effects on intention to preventive action and information seeking also. And distinguished 4 groups of RPA model, there were meaningful differences between intention to preventive action and information seeking by groups, and a factor of anxiety effects certain groups. As a result, it can suggest how to plan and enforce message on preventive campaign of particulate matter. In follow research, with social psychological factors, it will helpful to identify health activities about particulate matters.

• Journal of the Korea Convergence Society
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• v.11 no.12
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• pp.49-56
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• 2020

This study was conducted to identify the level of knowledge, perception, attitude, and preventive behavior toward particulate matter (PM) among university students, as well as to determine factors influencing their PM preventive behaviors. Questionnaires were distributed from December 9 to December 20, 2019, and the data from 180 valid responses were analyzed using SPSS Window 18.0. The scores for knowledge, perception, attitude, and preventive behavior against PM were 62.00 points, 72.33 points, 77.30 points, and 69.02 points, respectively, when converted to a 100-point scale. Regarding the factors influencing preventive behavior, only perception was significant among the assessed factors (p<.001). Therefore, it is suggested that efforts be made to promote preventive behavior related to PM. Furthermore, when developing a program to promote preventive behavior related to particulate matter exposure, it is necessary to consider strategies to improve perception of PM preventive behavior.

• Proceedings of the Korea Multimedia Society Conference
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• 2003.05b
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• pp.592-595
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• 2003

미세 먼지(PM-10)는 인체에 깊은 영향을 미치는 대기 오염원 중의 하나로써, 발생 원인에 대한 규명이 어렵고 기초 자료의 부족으로 통계적 분석 역시 어려워 예보가 지난한 실정이다. 본 연구에서는 기상 및 환경 인자들과 PM-10과의 상관 관계를 분석하고, 다층 인식자 신경망 모델을 이용하여 미세 먼지 예경보 시스템을 구축하였다. 실험 결과 RMSE가 0.04～0.09로 매우 정확한 성능을 보였다.

• Journal of Cadastre & Land InformatiX
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• v.48 no.1
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• pp.123-138
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• 2018

To sustainably monitor air pollution in Seoul, the number of Air Pollution Monitoring Station has been gradually increased by Korea's Ministry of Environment. Although particulate matters(PM), one of the pollutants measured at the stations, have an significant influence on human body, the concentration of PM in Korea came in second among 35 OECD member countries. In this study, using the data of PM concentration from the stations, distribution maps of PM10 and PM2.5 concentrations over Seoul were generated, and spatial factors potentially related to PM distribution were investigated. Based on a circumscribed hexagon about a circle in radius of 500 meters created as a basic unit, Seoul was sectionalized and PM concentration map was generated using the interpolation technique of 'inverse distance weighting'. The distributions of PM concentrations were investigated with commuting time by administrative district and the outcome was related with land-use type and volume of traffic. Results from this analysis indicated distribution pattern of PM10 concentration was different from that of PM2.5 by administrative district and time. The distribution of PM concentration was strongly related to not only the size of business and trafficked areas among the land-use type, but also the existence of urban green. Further analysis of the relationship between the PM concentration and detailed land-use and urban green maps can be helpful to identify spatial factors which have an impact on the PM concentration on the regional scale.

• Journal of Bio-Environment Control
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• v.31 no.2
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• pp.79-89
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• 2022

With the wide use of greenhouses, the working hours have been increasing inside the greenhouse for workers. In the closed ventilated greenhouse, the internal environment has less affected to external weather during making a suitable temperature for crop growth. Greenhouse workers are exposed to organic dust including soil dust, pollen, pesticide residues, microorganisms during tillage process, soil grading, fertilizing, and harvesting operations. Therefore, the health status and working environment exposed to workers should be considered inside the greenhouse. It is necessary to secure basic data on particulate matter (PM) concentrations in order to set up dust reduction and health safety plans. To understand the PM concentration of working environment in greenhouse, the PM concnentrations were monitored in the cut-rose and Hallabong greenhouses in terms of PM size, working type, and working period. Compare to no-work (move) period, a significant increase in PM concentration was found during tillage operation in Hallabong greenhouse by 4.94 times on TSP (total suspended particle), 2.71 times on PM-10 (particle size of 10 ㎛ or larger), and 1.53 times on PM-2.5, respectively. During pruning operation in cut-rose greenhouse, TSP concentration was 7.4 times higher and PM-10 concentration was 3.2 times higher than during no-work period. As a result of analysis of PM contribution ratio by particle sizes, it was shown that PM-10 constitute the largest percentage. There was a significant difference in the PM concentration between work and no-work periods, and the concentration of PM during work was significant higher (p < 0.001). It was found that workers were generally exposed to a high level of dust concentration from 2.5 ㎛ to 35.15 ㎛ during tillage operation.

• Journal of agricultural medicine and community health
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• v.46 no.1
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• pp.1-11
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• 2021

Objectives: This research aimed to identify the level of perception, knowledge, preventive behavior, and factors affecting preventive behavior of patients with asthma and chronic obstructive pulmonary disease against particulate matter. Methods: This research was a descriptive survey research, and the subjects were chronic pulmonary disease patients over the age of 19 and under 80 who visited a university hospital in Daegu City. Data was collected by convenience sampling through structured self-administered questionnaire survey from December 2019 to January 2020, and a total of 212 copies were used for analysis. Results: Out of 212 total subjects, 112 were asthma patients (52.8%) and 100 were chronic obstructive pulmonary disease patients (47.2%). The average score (out of 10) of perception, knowledge and preventive behavior of patients with asthma for particulate matter was 7.92, 6.99, and 7.10, respectively, while those with chronic obstructive pulmonary disease scored 7.72, 6.24, and 6.80, respectively. The knowledge score was significantly higher in patients with asthma than those with chronic obstructive pulmonary disease (p=0.007). Factors affecting particulate matter preventive behavior were perception score, knowledge score, and age for asthma patients, and perception score for chronic obstructive pulmonary disease patients. Conclusions: As a result of the above, the factors relate to the preventive behavior of patients with asthma and chronic obstructive pulmonary disease were perception score, knowledge score, and age for asthma, and perception score for chronic obstructive pulmonary disease. Raising the level of particulate matter preventive behavior can prevent the deterioration of chronic pulmonary diseases caused by particulate matter, so the development of arbitration programs considering the characteristics of the patients according to the disease and continuous and repetitive education are required.