• Journal of Environmental Science International
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• v.12 no.9
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• pp.987-996
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• 2003

In this study, we analyzed the relationship between the time-variation trend of air pollution concentration index and the meteorological conditions with CO(carbon monoxide) concentration and meteorological observation data in high-CO episode days. CO is a representative automobile air pollutant. The results are as follows; 1. Most of the high-CO episode days within 30 classes appeared in winter season. 2. Most of them appeared under the surface weather conditions with east-west high-pressure system. The surface winds in this high-pressure area were very light. 3. The high-CO episode days were due to unusual accumulation within urban atmosphere in the morning. 4. The Atmospheric stabilities were more stable, and then the wind-ventilation conditions were worse than yearly mean atmospheric condition in Daegu.

• Journal of Preventive Medicine and Public Health
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• v.19 no.1 s.19
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• pp.65-75
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• 1986

In order to assess the general health effect due to air pollution and to determine the critical pollutant which is meant by the worst effect to health among various pollutants in Seoul, air quality measurements at 10 sites during $1983{\sim}1984$ were analyzed using Pollutant Standards Index(PSI) : This index has been ultimately proposed to describe the comprehensive degree of the air pollution by U.S. Environmental Protection Agency(EPA) since 1976. Total average of PSI in Seoul during the two years was 139 that is described in 'unhealthful' The highest PSI appeared in Winter 183 through the 2 years, the lowest in Summer 99, and Spring 129 and Fall 150 respectively, PSI in Deungchon dong and Seongsu dong which are industrial areas were very high in terms of 'very unhealthful', while shinlim dong was shown in low in terms of 'good'. TSP was a priority pollutant in Seoul as the most frequently occuring critical pollutant. Its frequency was 76.4% in Spring, 86.0% in Summer, 78.0% in Fall and 44.2% in Winter during the 2 years. In Winter, $TSP{\times}SO_2$ was an important term as the critical pollutant in Seoul. Oxidant was the most frequently occuring critical pollutant in Kwangwhamoon through the whole seasons. It was recommended that the PSI could be used to assess the air pollution administratively and legally in context with publich health.

• Journal of Environmental Impact Assessment
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• v.16 no.6
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• pp.485-494
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• 2007

Air pollution and traffic noise from roads distributed near residential area has been a major social problem. In this study, an environmental pollution map for a residential area of Shihung-city was made by an expectation model based on hourly traffic volume change. Using the result from the model, a plan to reduce population in the residential area was established. The result of the modelling is summarized as follows: 1. At peak traffic hours (18 o'clock), 301-500 degree in hazardous and $d_{25}$ degree (25% of the residents are suffering extremely from the noise) in noise pollution were predicted in Jeongwang Main Road in Shihung city. 2. The calculated critical pollutant standard index, PSI showed the air pollution level, especially PM-10 high enough to require re-entrainment. 3. It was expected air pollution would extensively extend over the area distribution of each degree. However, noise pollution problem was limited to the area near roads.

• Asian Journal of Business Environment
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• v.10 no.4
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• pp.15-19
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• 2020

Purpose: This research aims to explore the level of air pollution in Jakarta, the epicenter of COVID-19 Pandemic in Indonesia and its surrounding provinces during the first month of the Pandemic. Research design, data and methodology: This study uses data, which have been obtained real time from API (Application Programming Interfaces) of air quality website. The measurements of Air Quality Index (AQI), temperature, humidity, and other factors from several cities and regencies in Indonesia were obtained eight times a day. The data collected have been analyzed using descriptive statistics and mapped using QGIS. Results: The finding of this study indicates that The Greater Jakarta Area experienced a decrease in pollutant levels, especially in the Bogor area. Nevertheless, some areas, such as the north Jakarta, have exhibited slow reduction. Furthermore, the regions with high COVID-19 confirmed cases have experienced a decline in AQI. Conclusions: The study concludes that the air quality of three provinces, Jakarta, Banten, and West Java, especially in cities located in the Jakarta Metropolitan Area during COVID-19 pandemic and large-scale social restrictions, is getting better. However, in some regions, the reduction of pollutant concentrations requires a longer time, as it was very high before the pandemic.

• Journal of Environmental Impact Assessment
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• v.6 no.1
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• pp.33-45
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• 1997

Nowadays, the environmental conservation has become a hot issue. Also the sustainable city issue is recognized as one of the most important tasks to be solved urgently for urban development. Therefore, the current indicator for sustainable city has been analyzed only as a segment of the environmental indicator which is one kind of branch of social indicator. However, considering the degree of pollution and heightened concern, it is time to develop a new and improved framework for the analysis of the sustainable city indicator. This study aims for the development of sustainable city indicator and the examination of practical method for the use of them. Urban sustainable city indicators are based on the "Pressure-State-Response (PSR) framework" which has been adopted by Organization for Economic Cooperation and Development (OECD). The indicators suggested in this study is composed of the following categories: 1. Indicators of natural environment itself, such as land structure (available land use index etc.), bio-species (bio-diversity index etc.), environment resources (water quantity index etc.) 2. Indicators of relationship between man and environment, such as sustainability of using material (recycle of water index etc.), pressure size (pressure index on air etc.), effort of prevention (environmental basic facility index, etc.) 3. Indicators of environmental state, such as landscape and culture (historical & cultural index etc.), environmental pollution (air pollution index etc.) A sustainable city environment is necessary and obtainable, yet its realization seems to be difficult. The urban pollution problems have become more serious than ever before thus requiring much interest. Therefore, this kind of study is meaningful for the establishment of policy objective, and the development and management environmentally sound and sustainable cities.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.2
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• pp.607-611
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• 2015

Background: Chronic respiratory disease is an important factor for development of lung cancer. To explore the influence of hazy weather on respiratory diseases and its variation the present study was conducted. Materials and Methods: Data from air pollution surveillance from January to October 2014 and case records of visiting patients in the $263^{th}$ Hospital of Chinese PLA in the corresponding period were collected to analyze the relevance between different degrees of air pollution (hazy weather) and the number of visiting patients in Department of Respiratory Disease. Results: Air quality index (AQI) of hazy weather had significantly positive association with particulate matter 2.5 ($PM_{2.5}$) and the number of patients with 5 kinds of respiratory diseases i and different pollutants had distinct influences on various respiratory diseases. Conclusions: The degree of air pollution in Beijing City is in close association with the number of patients with respiratory diseases, in which $PM_{2.5}$ and $SO_2$ are in more significant influences on all respiratory diseases. This could have essential implications for lung cancer development in China.

• Environmental and Resource Economics Review
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• v.25 no.4
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• pp.545-564
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• 2016

Recently as fine and ultra fine particles become major environmental issues in Korea, it is very important to develop effective solutions to air pollution. Accordingly this study aims at detecting causes of air pollution by using models and examining if diesel price increases contribute to reduction of diesel consumption and air pollution. TSP, PM10, $NO_X$, $SO_X$, CO, and VOC are included as major air pollutants. As a result, we found invert U shape curve between pollution and income for all air pollutants except CO. Consumer price index, coal power capacity, diesel consumption, frequency of yellow dust, number of natural gas buses, number of transport business, annual average temperature, number of manufacturing businesses are also influential in explaining causes of air pollution. As diesel price increases by 1%, air pollutants decline between 0.07~0.12% in the short run. Simultaneously, the additional revenue from increases in diesel prices might be transferred to support expansion of biofuel market. Also, stronger policy should be developed to mitigate the current air pollution problem.

• Proceedings of the Korea Air Pollution Research Association Conference
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• 2004.11a
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• pp.379-381
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• 2004

• Journal of Korea Multimedia Society
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• v.25 no.2
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• pp.440-449
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• 2022

In recent years, the air pollution and Air Quality Index (AQI) has been a pivotal point for researchers due to its effect on human health. Various research has been done in predicting the AQI but most of these studies, either lack dense temporal data or cover one or two air pollutant elements. In this paper, a hybrid Convolutional Neural approach integrated with recurrent neural network architecture (CNN-LSTM), is presented to find air pollution inference using a multivariate air pollutant elements dataset. The aim of this research is to design a robust and real-time air pollutant forecasting system by exploiting a neural network. The proposed approach is implemented on a 24-month dataset from Seoul, Republic of Korea. The predicted results are cross-validated with the real dataset and compared with the state-of-the-art techniques to evaluate its robustness and performance. The proposed model outperforms SVM, SVM-Polynomial, ANN, and RF models with 60.17%, 68.99%, 14.6%, and 6.29%, respectively. The model performs SVM and SVM-Polynomial in predicting O3 by 78.04% and 83.79%, respectively. Overall performance of the model is measured in terms of Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE) and the Root Mean Square Error (RMSE).

• Journal of Korean Society for Atmospheric Environment
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• v.11 no.2
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• pp.137-144
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• 1995

The I.A.P.(Index of Atmospheric Purity) by the distribution of Bryophtes on the bark of various latifoliate tree trunks was investigated at four sites(Daeheung, Songkwang, Jeungsim, and Heunggook Temple) from April, 1991 to April, 1993. The IAP was in inverse proportion to the degree of air pollution. The I.A.P at four sites were estimated 78.2 at Daeheung temple, 61.0 at Songkwang temple, 28.3 at Jeungsim temple, and 10.3 at Heunggook temple, respectively. The distribution degree of Bryophytes in Heunggook temple progressed during the last ten years. It represents the bettrment of air quality. Bioassay by means of lichens seems to have great potential for better and less expensive ways of measuring pollution levels instead of the high cost of buying and maintaining air pollution monitoring equipment.