• Journal of Korean Society for Atmospheric Environment
• /
• v.27 no.6
• /
• pp.805-818
• /
• 2011

The unequivocal risk of climate change, the weakness of energy security, and the problem of air quality will be possibly accelerated by the same reason, the enhanced fossil fuel dependancy in the future. It is obvious that greenhouse gases and air pollutants are mainly emitted from same sources. Moreover, greenhouse gases and air pollutants have their adversed impacts on same socio-economical, and environmental sectors. With these regards, several but limited studies have emphasized on the importance of the integrated management of climate change and air quality problem. In this study, we address the current trend of energy consumption and the change of air quality condition. Also the related policies are checked out in order to reduce emissions of greenhouse gases and air pollutants in Korea. By surveying previous studies, it is shown that the cost of climate change actions can be reduced by air quality co-benefits and vis-a-versa. Also the integrated strategy for climate change and air quality is introduced in term of cost-effectiveness and co-benefit.

• Asian Journal of Atmospheric Environment
• /
• v.9 no.1
• /
• pp.12-21
• /
• 2015

Air pollution is a challenging issue in some of the large cities in developing countries. In this regard, data interpretation is one of the most important parts of air quality management. Several methods exist to analyze air quality; among these, we applied the Multilayer Perceptron (MLP) and Radial Basis Function (RBF) methods to predict the hourly air concentration of benzene in 14 districts in the municipality of Tehran. Input data were hourly temperature, wind speed and relative humidity. Both methods determined reliable results. However, the RBF neural network performance was much closer to observed benzene data than the MLP neural network. The correlation determination resulted in 0.868 for MLP and 0.907 for RBF, while the Index of Agreement (IA) was 0.889 for MLP and 0.937 for RBF. The sensitivity analysis related to the MLP neural network indicated that the temperature had the greatest effect on prediction of benzene in comparison with the wind speed and humidity in the study area. The temperature was the most significant factor in benzene production because benzene is a volatile liquid.

• 한국정보통신설비학회:학술대회논문집
• /
• 2008.08a
• /
• pp.205-208
• /
• 2008

This article presents a methodology for the monitoring of air pollution. All over the world, the interest in the environment has been continuously increasing. Unfortunately, much of this interest is due to emerging problems, such as the greenhouse effect and climate change. For this reason, research into carbon dioxide, which causes the greenhouse effect, is progressing rapidly. This article presents a method of measuring the level of carbon dioxide and other substances in the air through the utilization of mobile-networking base stations and measured data. First of all, sensors are attached at the appropriate position of the mobile-networking base stations. These sensors will measure the air quality in their respective positions, and send sensor data to an urban management center via network gateways and data-collecting systems. The measured data can be used for various purposes. In general, it can be used to measure the air quality, which can then be used as a basis for urban planning. The method described herein utilizes airpollution sensors that are attached to the base stations in different locations and at varying heights. The data obtained hereby will be applicable in many fields. At this time this is simply a methodology, however we hope that it will lead to a practical application.

• Journal of Korean Society for Atmospheric Environment
• /
• v.19 no.6
• /
• pp.719-731
• /
• 2003

In order to maintain and manage ambient air quality, it is necessary to identify sources and to apportion its sources for ambient particulate matters. The receptor methods were one of the statistical methods to achieve reasonable air pollution strategies. Also, receptor methods, a field of chemometrics, is based on manifold applied statistics and is a statistical methodology that analyzes the physicochemical properties of gaseous and particulate pollutant on various atmospheric receptors, identifies the sources of air pollutants, and quantifies the apportionment of the sources to the receptors. The objective of this study was 1) after obtaining results from the PMF modeling, the existing sources of air at the study area were qualitatively identified and the contributions of each source were quantitatively estimated as well. 2) finally efficient air pollution management and control strategies of each source were suggested. The PMF model was intensively applied to estimate the quantitative contribution of air pollution sources based on the chemical information (128 samples and 25 chemical species). Through a case study of the PMF modeling for the PM-10 aerosols, the total of 11 factors were determined. The multiple linear regression analysis between the observed PM-10 mass concentration and the estimated G matrix had been performed following the FPEAK test. Finally the regression analysis provided quantitative source contributions (scaled G matrix) and source profiles (scaled F matrix). The results of the PMF modeling showed that the sources were apportioned by secondary aerosol related source 28.8 ％, soil related source 16.8％, waste incineration source 11.5%, field burning source 11.0%, fossil fuel combustion source 10%, industry related source 8.3％, motor vehicle source 7.9%, oil/coal combustion source 4.4％, non-ferrous metal source 0.3％. and aged sea- salt source 0.2％, respectively.

• Journal of dental hygiene science
• /
• v.24 no.1
• /
• pp.22-28
• /
• 2024

Background: Particulate matter (PM) has been extensively observed due to its negative association with human health. Previous research revealed the possible negative effect of air pollutant exposure on oral health. However, the predictive model between air pollutant exposure and the prevalence of periodontitis has not been observed yet. Therefore, this study aims to propose a predictive model for the number of patients with periodontitis exposed to PM and atmospheric factors in South Korea using deep learning. Methods: This study is a retrospective cohort study utilizing secondary data from the Korean Statistical Information Service and the Health Insurance Review and Assessment database for air pollution and the number of patients with periodontitis, respectively. Data from 2015 to 2022 were collected and consolidated every month, organized by region. Following data matching and management, the deep neural networks (DNN) model was applied, and the mean absolute percentage error (MAPE) value was calculated to ensure the accuracy of the model. Results: As we evaluated the DNN model with MAPE, the multivariate model of air pollution including exposure to PM_2.5, PM₁₀, and other atmospheric factors predict approximately 85% of the number of patients with periodontitis. The MAPE value ranged from 12.85 to 17.10 (mean±standard deviation=14.12±1.30), indicating a commendable level of accuracy. Conclusion: In this study, the predictive model for the number of patients with periodontitis is developed based on air pollution, including exposure to PM_2.5, PM₁₀, and other atmospheric factors. Additionally, various relevant factors are incorporated into the developed predictive model to elucidate specific causal relationships. It is anticipated that future research will lead to the development of a more accurate model for predicting the number of patients with periodontitis.

• Hwankyungkyoyuk
• /
• v.21 no.4
• /
• pp.40-66
• /
• 2008

The purpose of this study is to develop and applicate textbook relevant to school indoor air quality. To achieve the purpose, concrete study process are as follows. First, the survey research to teachers, supervisors, and students is conducted to grasp cognition of subjects in elementary school and management situation about school indoor air quality. Second, contents relevant to indoor air quality on textbooks in the 7th elementary curriculum and subsidiary textbooks is analysed through reference study. Third, environmental textbook relevant to school indoor air quality for 5th and 6th grade in elementary school is developed, applicated, and inspected its effect on the basis of implications from results of survey and reference study. The results of this study are as follows. First, the result of survey concerning school indoor air quality showed that three groups had negative attitude for its management even though they thought that it affected human's health and study by and large. Student group thought that each of students itself was a little influence to school indoor air pollution though all of three groups answered that' activities of students' was its main source. Efforts of students to improve school indoor air quality was not much, and its main reason was that they didn't know about school indoor air pollution well. Second, result of analysis into textbooks on the 7th elementary curriculum and subsidiary textbooks, contents concerning indoor air on the 7th elementary curriculum textbooks was little or nothing. And it trended to be included to subsidiary textbooks. However, education textbooks about indoor air for elementary students was insufficient still. Third, environmental textbook relevant to school indoor air quality for 5th and 6th grade in elementary school was developed. It was constructed for themes - importance, sources, effects, and management of school indoor air quality. After its application to the 6th grade students in elementary school, it was meaningful in the level of p<.05 that the result of knowledge and awareness in the pre-post test within experiment group. However, all of the results in comparison group didn't represent statistically meaningful difference. In conclusion, environmental textbook developed by necessity of education about school indoor air quality will play a role as useful tool for the 5th, 6th grade students in elementary school to understand relation of quality of health and life and school indoor air quality, to have attitude to make an effort to manage it by develop right awareness about it.

• Hwankyungkyoyuk
• /
• v.10 no.2
• /
• pp.249-268
• /
• 1997

This Study developed 'Environment Management Integrated Leader(EMIL)' program and evaluated the effect of the Program. The procedure of EMIL program development is as follows; 1) Identifying the training needs Through the interview and discussion with corporate environmental staff and research members, training need are collected. 2) Setting the training objectives 30 objectives are developed through specifying and organizing the training needs. 3) Determining the scopes of the program This program consists of the four scopes. First, the scope of Environmentally Acceptable Management is developed based on ISO 14000 and certification of environmentally friendly business. Second, the scope of Environmentally Acceptable Technology includes air pollution, water pollution, solid wasted management, and pollution prevention. Third, the scope of Integrated Environmental Management focuses on master plan, green marketing, green production, and green accounting. Finally, the scope of Integrated Environmental Concepts focuses on food pollution, environmental activities, and bio-diversity. 4) Selecting the training methods Various methods are used such as off-site visits, exercises, case study, workshop, discussion, role-playing as well as lecture. 5) Implementing the program 49 trainees participated the program for 6weeks. All trainees are working for D. Company Group. 6) Measuring training effects To evaluate the effects of the program, pre-post training evaluation method is used. The results are highly significant at all 4 scopes by the p<.01. This study has some implications in order to establish the environmental management climate. First, the development of new environmental education program for management is necessary. Second, Vast investment are required. Third, more systematic approaches are desired in environmental education. Lastly, more customized program development and implementation to fit in industries will accelerate the expansion of environmental concept.

• Korean Journal of Remote Sensing
• /
• v.39 no.6_3
• /
• pp.1679-1692
• /
• 2023

South Korea is a country that emits a large amount of pollutants as a result of population growth and industrial development and is also severely affected by transboundary air pollution due to its geographical location. As pollutants from both domestic and foreign sources contribute to air pollution in Korea, the location of air pollutant emission sources is crucial for understanding the movement and distribution of pollutants in the atmosphere and establishing national-level air pollution management and response strategies. Based on this background, this study aims to effectively acquire spatial information on domestic and international air pollutant emission sources, which is essential for analyzing air pollution status, by utilizing high-resolution optical satellite images and deep learning-based image segmentation models. In particular, industrial parks and quarries, which have been evaluated as contributing significantly to transboundary air pollution, were selected as the main research subjects, and images of these areas from multi-purpose satellites 3 and 3A were collected, preprocessed, and converted into input and label data for model training. As a result of training the U-Net model using this data, the overall accuracy of 0.8484 and mean Intersection over Union (mIoU) of 0.6490 were achieved, and the predicted maps showed significant results in extracting object boundaries more accurately than the label data created by course annotations.

• Journal of environmental and Sanitary engineering
• /
• v.1 no.1 s.1
• /
• pp.81-96
• /
• 1986

510 random samples were studied during the months of may through November 1985 at the various industries and conclustions were made as follows; 1. $43.94\%$ of the plants studied operated their plants with semiautomatic control system, and better efficiency were observed at the plants where automatic control systems emplorid and also large industries showed more tendency adopting the automatic plant control system. 2. Overall efficiency of the treatment plants were seen much higher at the first and secand discharge class categories then the lower discharge classes, $80.79\%$ of the plants were see their daily plant operation being controlled by the operator himself. 3. The main causes of the plant stopage and in efficient discharge control were found to be malfunctioning of the plants machineries and equipment or inadequate decision made by the management to save chemicals or electricity. 4. The study showed $60\%$ of the industry treated their wastwater wholly and the rest discharged only with dilution without receiving any further treatment, and this tendency pronounced at the 4th and 5th class discharge category industries. 5. $66.17\%$ of the industry had their storage capacity to accommodate the waste discharge during plants outage while $92.67\%$ of the air pollution discharge industries had no means for the plant outage. 6. $56.77\%$ of the studied industry maintained 24 hour operation of their discharge control systems whill $18.67\%$ of air pollution discharge industries and $10.53\%$ of the waste water discharge industries showed no control effort during the night.

• Proceedings of the Korean Society of Agricultural Engineers Conference
• /
• 2005.10a
• /
• pp.247-253
• /
• 2005

In this stydy, the characteristics of the spatial location based on rural environment pollution facilities which can cause environmental pollution and thus lower the value of rural amenity was analyzed. This study showed that livestock feedlot occupied the highest percentage among the facilities analyzed and the size of facilities increased with increasing distance from the residential area. In addition, the facilities showed two typical characteristics in terms of their spatial distribution; uneven and even distribution which are characterized by concentrated distribution in a certain area and by scattered distribution in a wide area, respectively. As the facilities including livestock feedlot have a great potential to cause environmental problem such as air, water, soil and noise pollution, it is necessary to develop systematic plans for the management and improvement of the facilities.