This study was performed to investigate airborne volatile organic compounds(VOCs), formaldehyde, respiratory particulate for concentration in primary schools. The concentrations of major indoor air pollutants(VOCs , benzene, toluene, ethylbenzene, xylene, styrene, formaldehyde, PM-10) were observed from November to December 2006. Sampling was undertaken at 81 primary schools. The sampling sites of air pollutants are classroom and hallway. VOCs with distribution of most of general environmental contamination material will be able to confirm that it shows the log-normal distribution which is similar exposure distribution. The exposure quality of VOCs and the place pollution level was indoor> hallway>outdoor, which whole is located in the metropolis and the industrial areas is higher than farm village area. It tried to observe the I/O ratio, it appeared highly from the interior of the material of most. The mean concentrations of formaldehyde, respiratory particulate were 22.07㎍/㎥, 88.06㎍/㎥ respectively. Indoor and outdoor ratios(I/O) of formaldehyde and respiratory particulate were 3.6 and 1.4, respectively. The concentration of respiratory particulate is 27.2% higher than guideline for school hygiene(100㎍/㎥). From the comparison in the construction year, the highest concentration of formaldehyde is showed under one year. However, as time passed by the concentrations of formaldehyde become lower.

In this study, the paint, which has very close relationship to the of indoor air quality, was examined for the air pollution leveling test, and using the various passive sampler, the test was evaluated on the regard of TWA(Time Weighted Average). This study is to examine how the air pollution levels differ between the regular paint that is used for public and the new developed environment friendly paint. The consecutive experiments were performed in the small chamber test to investigate the VOCs and formaldehyde, ammonia emissions and characteristics from paint which are commonly used as the complete material of building. In conclustion, the natural paint showed the highest emission of VOCs among the selected paints, and water paint showed the highest contents of ammonia. Formaldehyde showed N.D(Not Detected) in most of tests and found a small amount in vinyl paint however, it was not as bad as to fail the certify level of building materials. It is recommended to constantly develop the chamber system and it will be very much possible to be used for the estimation of indoor air pollutants from the various paints and other complete materials.

We gathered exposure data on indoor air pollution, and investigated the dose-response slope factor for indoor air pollutants, such as volatile organic compounds, aldehydes and radon. Population cancer risks (that is the theoretical cancer deaths) were estimated from exposure to the pollutants. In addition, the damage costs, due to their risks, were estimated using WTP (willingness to pay) and VSL (value of a statistical life), which were investigated by a dichotomous contingent valuation method (DCVM). As a priority for human health risks and damage costs, management strategies are required for both radon and formaldehyde as indoor air pollutants. When the numeric results of human risks and damage costs are applied for other purposes, some assumptions and uncertainties have to be considered to use the results as useful screening tools for the administration of practical risk-based priorities.

대산공단과 군산공단의 대기오염에 의한 삼림피해현상을 연구하기 위하여 조사구를 각각 5개, 3개씩 설치하였다(1개 조사구 당 면적 500m2). 대산공단 삼림의 교목층 아교목층의 우점종은 소나무와 곰솔이었고 관목층에서는 진달래와 참나무류가 우점종이었다. 종다양도는 0.4859~0.9202 이었으며, 조사구간의 차이가 심하게 나타났다. 토양 pH는 4.67~5.12로 약산성이었다. 대산공단지역에서는 아직 대기오염에 의한 삼림의 피해가 심각하지 않은 것으로 나타났다. 군산공단삼림의 교목층 및 아교목층의 우점종은 곰솔과 소나무이었다. 종다양도는 0.8115~l.0983이었고 오염원과 가까운 조사구가 가장 낮게 나타났다. 토양 pH는 4.32~4.76으로 강산성이었다. 군산공단의 오염원 인근삼림은 울산공단과 유사한 피해양상으로 심각한 피해를 받고 있었다.

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.

It is well known that atmospheric environments, including both meteorology and air quality, significantly affect public health, such as chronic lung disease and cancer, and respiratory infections. In this study, we have analyzed correlations between the number of daily respiratory outpatients and the atmospheric environments data for about ten years for the city of Busan, South Korea. The respiratory problem patients data have been categorized into two health-vulnerable groups by age over 65(DayPA_O65) and under 20(DayPA_U20), each of which shows relatively higher correlations with air quality and meteorology, respectively. However, time series analysis with factor separation results in that DayPA_O65 and DayPA_U20 show a higher relation with variance components and daily irregular factors of atmospheric concentrations, respectively.

Recently, summer high temperature events caused by climate change and urban heat island phenomenon have become a serious social problem around the world. Urban areas have low albedo and huge heat storage, resulting in higher temperatures and longer lasting characteristics. To effectively consider the urban heat island measures, it is important to quantitatively grasp the impact of urban high temperatures on the society. Until now, the study of urban heat island phenomenon had been carried out focusing only on the effects of urban high temperature on human health (such as heat stroke and sleep disturbance). In this study, we focus on the effect of urban heat island phenomenon on air pollution. In particular, the relationship between high temperature phenomena in urban areas during summer and the concentration of photochemical oxidant is investigated. High concentrations of ozone during summer are confirmed to coincide with a day when the causative substances (NO2,VOCs) are high in urban areas during the early morning hours. Further, it is noted that the night urban heat island intensity is large.. Finally, although the concentration of other air pollutants has been decreasing in the long term, the concentration of photochemical oxidant gradually increases in Daegu.

The adequacy of urban air quality monitoring networks in the largest metropolitan city, Seoul was evaluated using multivariate analysis for SO2, NO2, CO, PM10, and O3. Through cluster analysis for 5 air pollutants concentrations, existing monitoring stations are seen to be clustered mostly by geographical locations of the eight zones in Seoul. And the stations included in the same cluster are redundantly monitoring air pollutants exhibiting similar atmospheric behavior, thus it can be seen that they are being operated inefficiently. Because monitoring stations groups representing redudancy were different depending on measurement items and several pollutants are being measured at the same time in each air monitoring station, it is seemed to be not easy to integrate or transmigrate stations. But it may be proposed as follows : the redundant stations can be integrated or transmigrated based on ozone of which measures are increasing in recent years and alternatively the remaining pollutants other than the pollutant exhibiting similar atmospheric behavior with nearby station’s can be measured. So it is considered to be able to operate air quality monitoring networks effectively and economically in order to improve air quality.

This research intends to develop a photocatalytic concrete enabling to decompose the nitrogen oxides (NOx) using a titanium oxide photocatalyst for reducing the cost. In details, this research develops the mix composition of the photocatalytic concrete exhibiting photolytic characteristics and establish the technology enabling to reduce the emission of air pollutant caused by nitrogen oxides.

The relationship between urban spatial structures and GHG-AP integrated emissions was investigated by statistically analyzing those from 25 administrative districts of Seoul. Urban spatial structures, of which data were obtained from Seoul statistics yearbook, were classified into five categories of city development, residence, environment, traffic and economy. They were further classified into 10 components of local area, population, number of households, residential area, forest area, park area, registered vehicles, road area, number of businesses and total local taxes. GHG-AP integrated emissions were estimated based on IPCC(intergovernmental panel on climate change) 2006 guidelines, guideline for government greenhouse inventories, EPA AP-42(compilation of air pollutant emission factors) and preliminary studies. The result of statistical analysis indicated that GHG-AP integrated emissions were significantly correlated with urban spatial structures. The correlation analysis results showed that registered vehicles for GHG (r=0.803, p<0.01), forest area for AP (r=0.996, p<0.01), and park area for AP (r=0.889, p<0.01) were highly significant. From the factor analysis, three groups such as city and traffic categories, economy category and environment category were identified to be the governing factors controlling GHG-AP emissions. The multiple regression analysis also represented that the most influencing factors on GHG-AP emissions were categories of traffic and environment. 25 administrative districts of Seoul were clustered into six groups, of which each has similar characteristics of urban spatial structures and GHG-AP integrated emissions.

기상청에서 제공하는 강우자료는 현재 ASOS(종관기상관측장비)와 AWS(자동기상관측시스템) 등이 대표적으로 존재하고 다양한 분야에서 이를 활용한 연구·분석이 이루어지고 있다. 특정지점에서의 기상조건을 탐색하기 위한 방법으로는 지역의 기상조건을 대표할 수 있는 관측소의 값을 이용하거나 일련의 내삽(Interpolation)방법을 통해 공간적인 분석이 이루어 질 수 있다. 하지만 이러한 방법으로는 분석을 위해 자료를 개량하고 추측을 통해야 한다는 한계점이 존재한다. 공간에 기반을 둔 분석을 위해 이러한 한계점을 개선하기 위해서는 일정한 규모의 격자자료가 필요할 것이라 판단된다. 기상청에서는 동네예보를 지원하기 위해 RSA(실황분석자료, Real State Analysis)자료를 생산하고 있다. 이는 KLAPS(초단기 기상분석 및 예측시스템) 재분석자료, 합성레이더 강우량, AWS 관측자료를 합성시켜 생산한 자료로써 5km×5km의 공간해상도를 가진 격자자료이다. 본 연구에서는 ASOS와 AWS, RSA 자료에서 제공되는 강우량과 환경부에서 제공되는 대기측정자료를 이용하여 서로 다른 성격의 기상자료에서 제공되는 기상조건의 변화가 대기오염망에는 어떠한 영향을 미치는지에 대해 분석하고자 한다. 이를 통해 지점(Point)자료와 격자(Raster)자료간에 분명한 차이가 존재한다면 산사태 지점, 교통사고 지점 등과 같이 위치 중심의 공간분석에서 비교적 정밀한 결과를 도출하는데 활용될 수 있을 것이라 기대된다.

Emissions from aircraft have impacts on the air pollution of airport and the surrounding area. There are methods of emissions calculated as Tier 1, Tier2, Tier 3A and Tier 3B. Thus, this study investigated emissions from aircraft at the Gimhae International Airport using EDMS(Emissions & Dispersion Modeling System) program. Results of estimation from aviation emissions, Tier 3B considering all parts which can occur at the airport has the largest amount emissions. In order to understand the relation between aviation emissions and distribution of ozone concentration over airport area, numerical evaluation were carried out. Although the difference of surface ozone distribution between numerical assessment with and without aviation emissions was little, effects of air pollution at airport area from aviation emissions of NOx and VOCs.

In this study, eight episode days of high-concentration PM10 occurrences in the Gimhae region between 2006 and 2011 were analyzed. Most of them appeared in winter and the highest concentration was observed around 12 LST. Furthermore, the wind direction, wind velocity, and temperature elements were compared with observed values to verify the WRF numerical simulation results used in this study, and they simulated well in accordance with the trend of the observed values. The wind was generally weak in the high-concentration episode days that were chosen through surface weather chart and the numerical simulation results for wind field, and the air pollutants were congested due to the effects of the resulting local winds, thereby causing a high concentration of air pollutants. Furthermore, the HYSPLIT model was performed with the WRF numerical simulation results as input data. As a result, they originated from China and flowed into Gimhae in all eight days, and the lowest concentration appeared on the days when recirculation occurred.

The characteristics of meteorological conditions and air pollution were investigated in a valley city (Yangsan) on bad visibility days (from 05:00 to 09:00 LST) of the cold half year (November 2008 to April 2009). This analysis was performed using the hourly observed data of meteorological variables (temperature, wind speed and direction, relative humidity, and 2 m and 10 m temperature) and air pollutants (NO2, SO2, PM10, and O3). In addition, visibility data based on visual measurements and a visibility meter were used. The bad visibility days were classified into four types: fog, mist, haze, and the mixture (mist+haze). The results showed that the bad visibility days of the four types in the valley city were observed to be more frequently (about 50% of the total study period (99 days except for missing data)) than (27%) those near coastal metropolitan city (Busan). The misty days (39%) in the valley city were the most dominant followed by the hazy (37%), mixture (14%), and foggy days (10%). The visibility degradation on the misty days in Yangsan was closely related to the combined effect of high-level relative humidity due to the accumulation of water vapor from various sources (e.g. river, stream, and vegetation) and strong inversion due to the development of surface radiative cooling within the valley. On the hazy days, the visibility was mainly reduced by the increase in air pollutant (except for O3) concentrations from the dense emission sources under local conditions of weaker winds from the day before and stronger inversion than the misty days. The concentrations of NO2, PM10, and SO2 (up to +36 ppb, +25 ㎍/m3, and +7 ppb) on the hazy days were a factor of 1.4-2.3 higher than those (+25 ppb, +14 ㎍ /m3, and +3 ppb) on the misty days.

The assessment of personal exposure is a critical component in population-based epidemiologic studies of air pollution. This study was conducted to apply and compare the four exposure estimation methods of individual-level to air pollution concentration in a cohort including 2,283 subjects in Gwangyang, Korea. Individual-level exposure of air pollution were estimated using multiple approaches, including average across all monitors, nearest monitor, and spatial interpolation by inverse distance weighting and kriging. The mean concentrations of PM10, NO2, SO2, CO, O3 by four exposure estimation methods were slightly different but not significantly different from each other. Cross-validation showed that kriging was more accurate than other exposure estimation methods because kriging has probably predicted individual exposure levels equivalent to residential locations after estimating the parameters of a model according to the spatial surface of air pollution concentration. These data support that spatial interpolation methods may provide better estimates than selecting the value from the nearest monitor and averaging across values from all monitors by reflecting spatial attributes of air pollution on personal level.

신축공동주택에서는 BAKE OUT등의 입주 전(前) 전처리후 저 농도의 잔여 오염원의 제거를 위해서는 단시간에 고효율의 공기정화기능에 맞춰진 기계적 장치보다는 설치 및 유지, 운영비가 저렴하고 비교적 안전한 생물학적 처리법이 더 효율적이므로 생물학적 실내공기정화 기술의 개발이 시급한 실정이다. 이를 위해 본연구는 실내공기자연정화효과가 있는 식물에 의한 biofilter의 개발을 목표로 하였으며, biofilter hardware의 안전하고 지속적인 기능성 향상을 위해 토양별 공기유동과 수분유지력을 실험을 하였다. 식물에 의한 biofilter는 공기유동과 함께 오염원이 필터내로 유입되어 생물학적 오염 정화 기능으로 인해 정화된 공기가 배출되는 원리이다. 그러나 식물에 의한 biofilters는 공기유동이 높아지면 수분유지력이 낮아지는 특성이 있어 공기유동과 수분유지의 최적 조건을 찾는것이 중요하다. 또한 공기유동과 수분유지에 영향을 미치는 요인은 biofilter내 토양은 공기유동, 수분유지력은 biofilter의 성능과 안정성을 결정짓는 가장 중요한 요인이라 할수 있다. 실험결과, 기기내 공기유동은 3번째 모델에서 공기의 유입과 출입이 가장 최적이며, 토양구성은 vermiculite/ perlite/ peatmoss=v/v/v=0.25/0.25/0.50으로 구성된 토양에서 가장 효율적을 알수 있었다. 이때, 재관수시점은 토양수분의 60%를 관수시점으로 산정하였을 경우 4th-model은 24시간, 3rd-model은 24시간, 2nd-model은 18시간, 1st-model은 18시간, control은24시간으로 나타났다. 그러므로 본연구에서 개발된 biofilter는 공기유동 과 수분을 장시간 유지할수 있으므로 공기유동시 biofilter내 여러 자연 필터와 함께 식물이 실내오염원을 정화할수 있는 유용한 장치가 될 수 있다고 하겠다.