• Title/Summary/Keyword: PM10 concentration

Search Result 3,312, Processing Time 0.028 seconds

Distributions and Origins of PM10 in Jeollabuk-do from 2010 to 2015 (2010~2015년 전라북도 도시대기 PM10의 특성)

  • Cho, Byeongsu;Song, Mijung
    • Journal of Korean Society for Atmospheric Environment
    • /
    • v.33 no.3
    • /
    • pp.251-264
    • /
    • 2017
  • Recently, Jeollabuk-do has been reported as a province where the $PM_{10}$concentration is one of the highest levels in South Korea. To explore the characteristics and origins of the $PM_{10}$in Jeollabuk-do, we present one of the first long-term datasets including a statistical analysis of $PM_{10}$concentrations obtained from six cities in the province from 2010 to 2015. During the entire periods, the mean hourly $PM_{10}$concentration was $49.3{\mu}g/m^3$, which correspond to the annual ambient air quality standards for $PM_{10}$in South Korea, and the annual $PM_{10}$concentration of each city showed a similarity in year-to-year variations. In the monthly variation of $PM_{10}$, the $PM_{10}$concentrations showed a maximum value in May that was one of the top levels among the provinces of Korea while the concentrations were dramatically decreased in August showing one of the lowest levels among the provinces in Korea. For the diurnal variation of $PM_{10}$, the $PM_{10}$concentration was enhanced during the rush hours together with gaseous species of $NO_2$, and CO. When the high concentrations of $PM_{10}$were observed (the highest 10% of the $PM_{10}$mass contribution), temperature and relative humidity were low. Using HYSPLIT backward trajectories and cluster analysis for the high $PM_{10}$concentrations, we found that the pollution plumes were transported mainly from China.

Analysis on the PM10 Transportation Route in Gimhae Region Using the HYSPLIT Model (HYSPLIT 모델을 이용한 김해지역의 PM10 수송 경로 분석)

  • Jung, Woo-Sik;Park, Jong-Kil;Lee, Bo-Ram;Kim, Eun-Byul
    • Journal of Environmental Science International
    • /
    • v.22 no.8
    • /
    • pp.1043-1052
    • /
    • 2013
  • This study was conducted to investigate the correlations between the $PM_{10}$ concentration trend and meteorological elements in the Gimhae region and analyze the transportation routes of air pollutants through back-trajectory analysis. Among the air quality measuring stations in the Gimhae regions, the $PM_{10}$ concentration of the Sambangdong station was higher than that of the Dongsangdong station. Also, an examination of the relationships between $PM_{10}$ concentration and meteorological elements showed that the greater the number of yellow dust occurrence days was and the lower the temperature and precipitation were, the higher the $PM_{10}$ concentration appeared. Furthermore, a cluster analysis through the HYSPLIT model showed that there were 4 clusters of trajectories that flowed into the Gimhae region and most of them originated in China. The meteorological characteristics of the four clusters were analyzed and they were similar to those of the air masses that influence South Korea. These analyses found that meteorological conditions affect the $PM_{10}$ concentration.

Characteristics of Weekday/Weekend PM10 and PM2.5 Concentrations at Busan (부산지역 PM10과 PM2.5 농도의 주중/주말 특성)

  • Jeon, Byung-Il;Hwang, Yong-Sik
    • Journal of Environmental Science International
    • /
    • v.23 no.7
    • /
    • pp.1241-1251
    • /
    • 2014
  • The study investigates weekday/weekend characteristics of $PM_{10}$ and $PM_{2.5}$ concentrations and meteorological elements in Busan. The $PM_{10}$ concentration is highest on Wednesday and Thursday, and lowest on Sunday. On the other hand, the $PM_{2.5}$ concentration is highest on Wednesday and lowest on Sunday. The location where concentrations of weekdays and weekend differ the most is Hwakjang-dong, the industrial area, and where they differ the least is Gijang-up and Joa-dong, the residential area. Fine particle concentration in the industrial area was consistent at dawn and in the morning, but varied in the afternoon and at night. The visibility of Sunday was 0.49 km higher than that of weekdays, and the solar radiation of Sunday was $0.11MJ/m^2$ higher than that of weekdays. These results indicate that the concentration of fine particles had influence on the change of visibility and solar radiation.

Analysis of the Seasonal Concentration Differences of Particulate Matter According to Land Cover of Seoul - Focusing on Forest and Urbanized Area - (서울시 토지피복에 따른 계절별 미세먼지 농도 차이 분석 - 산림과 시가화지역을 중심으로 -)

  • Choi, Tae-Young;Moon, Ho-Gyeong;Kang, Da-In;Cha, Jae-Gyu
    • Journal of Environmental Impact Assessment
    • /
    • v.27 no.6
    • /
    • pp.635-646
    • /
    • 2018
  • This study sought to identify the characteristics of seasonal concentration differences of particulate matter influenced by land cover types associated with particulate matter emission and reductions, namely forest and urbanized regions. PM10 and PM2.5 was measured with quantitative concentration in 2016 on 23 urban air monitoring stations in Seoul, classified the stations into 3 groups based on the ratio of urbanized and forest land covers within a range of 3km around station, and analysed the differences in particulate matter concentration by season. The center values for the urbanized and forest land covers by group were 53.4% and 34.6% in Group A, 61.8% and 16.5% in Group B, and 76.3% and 6.7% in Group C. The group-specific concentration of PM10 and PM2.5 by season indicated that the concentration of Group A, with high ratio of forests, was the lowest in all seasons, and the concentration of Group C, with high ratio of urbanized regions, had the highest concentration from spring to autumn. These inter-group differences were statistically significant. The concentration of Group C was lower than Group B in the winter; however, the differences between Groups B to C in the winter were not statistically significant. Group A concentration compared to the high-concentration groups by season was lower by 8.5%, 11.2%, 8.0%, 6.8% for PM10 in the order of spring, summer, autumn and winter, and 3.5%, 10.0%, 4.1% and 3.3% for PM2.5. The inter-group concentration differences for both PM10 and PM2.5 were the highest in the summer and grew smaller in the winter, this was thought to be because the forests' ability to reduce particulate matter emissions was the most pronounced during the summer and the least pronounced during the winter. The influence of urbanized areas on particulate matter concentration was lower compared to the influence of forests. This study provided evidence that the particulate matter concentration was lower for regions with higher ratios of forests, and subsequent studies are required to identify the role of green space to manage particulate matter concentration in cities.

Factors Affecting the Survival Rates of Frozen-Thawed Spermatozoa in Equine by Glycerol Concentration and Freezing Speed (말 정액 동결시 Glycerol 농도와 동결 속도가 생존율에 미치는 영향)

  • Choi, Sun-Ho;Kim, Sung-Jae;Cho, Sang-Rae;Choe, Chang-Yong;Son, Jun-Kyu;Yoo, Yong-Hee;Cho, Young-Jae;Choi, Gui-Cheol;Moon, Yun-Young
    • Reproductive and Developmental Biology
    • /
    • v.34 no.3
    • /
    • pp.271-274
    • /
    • 2010
  • This study was conducted to investigate the survival rate of frozen-thawed spermatozoa in equine by glycerol concentration and freezing speed Two stallions (1 Thoroughbred-13 year old and 1 Arab-7 year old) bred in Korea Racing authority was examined for 1 times in a couple of weeks. Semen was collected by condom method standing heated mare and were centrifuged 650 g for 15 min. and isolated the seminal plasma. Thick fraction of semen was diluted EDTA-Lactose-egg yolk diluents to 1:1 and contained in 0.5 ml straw as $6{\sim}14{\times}10^7\;cells/ml$. Final concentrations of glycerol were 3, 5 and 7% in cryopreseved diluents and added 4 times for 2 hours equilibration. For the freezing, equilibrated straws were located 3 or 5 em above $LN_2$ gas for 5 or 10 min. Survival rates of pre-frozen sperm were $65.0{\pm}13.2%$, $68.3{\pm}10.4%$, $66.7{\pm}11.5%$ and post-frozen were $53.3{\pm}23.1%$, $45.0{\pm}15.0%$, $50.0{\pm}18.0%$ in 3, 5, 7% glycerol concentration, respectively. There was no difference between glycerol concentrations. Survival rates of frozen-thawed sperm on freezing speed were $36.7{\pm}10.4%$, $40.0{\pm}7.1%$, $30.0{\pm}13.2%$ at 3 cm-5 min and $33.3{\pm}11.5%$, $31.7{\pm}2.9%$, $21.7{\pm}10.4%$ at 3 cm-10 min in 3, 5, 7% glycerol concentration, respectively. Survival rates of frozen-thawed sperm on freezing speed were $43.3{\pm}15.3%$, $32.0{\pm}17.9%$, $22.3{\pm}15.7%$ at 5cm-5 min and were $47.5{\pm}15.0%$, $43.3{\pm}12.6%$, $48.3{\pm}15.3%$ at 5cm-10 min in 3, 5, 7% glycerol concentration, respectively. There were significantly different between groups (p<0.05). These results suggest that glycerol concentration did not affect cryopreservation of stallion semen within 3~7% but freezing speed affects. In our experiment, the best cryopreservation condition was at 5 cm above $LN_2$ gas for 10 min for pre-freezing and 7% of glycerol concentration. These results lead to commercial AI with frozen-thawed stallion semen.

Evaluation and Predicting PM10 Concentration Using Multiple Linear Regression and Machine Learning (다중선형회귀와 기계학습 모델을 이용한 PM10 농도 예측 및 평가)

  • Son, Sanghun;Kim, Jinsoo
    • Korean Journal of Remote Sensing
    • /
    • v.36 no.6_3
    • /
    • pp.1711-1720
    • /
    • 2020
  • Particulate matter (PM) that has been artificially generated during the recent of rapid industrialization and urbanization moves and disperses according to weather conditions, and adversely affects the human skin and respiratory systems. The purpose of this study is to predict the PM10 concentration in Seoul using meteorological factors as input dataset for multiple linear regression (MLR), support vector machine (SVM), and random forest (RF) models, and compared and evaluated the performance of the models. First, the PM10 concentration data obtained at 39 air quality monitoring sites (AQMS) in Seoul were divided into training and validation dataset (8:2 ratio). The nine meteorological factors (mean, maximum, and minimum temperature, precipitation, average and maximum wind speed, wind direction, yellow dust, and relative humidity), obtained by the automatic weather system (AWS), were composed to input dataset of models. The coefficients of determination (R2) between the observed PM10 concentration and that predicted by the MLR, SVM, and RF models was 0.260, 0.772, and 0.793, respectively, and the RF model best predicted the PM10 concentration. Among the AQMS used for model validation, Gwanak-gu and Gangnam-daero AQMS are relatively close to AWS, and the SVM and RF models were highly accurate according to the model validations. The Jongno-gu AQMS is relatively far from the AWS, but since PM10 concentration for the two adjacent AQMS were used for model training, both models presented high accuracy. By contrast, Yongsan-gu AQMS was relatively far from AQMS and AWS, both models performed poorly.

Changs of Vitamin A Concentration, Secretion and Ingake of Infants in Transitional Milk during the Lactation (수유초기 이행유중 비타민 A의 함량, 분비량 및 영야의 섭취량의 변화)

  • 이정실
    • Journal of Nutrition and Health
    • /
    • v.28 no.9
    • /
    • pp.855-861
    • /
    • 1995
  • The longitudinal change of vitamin A concentration and secretion in transitional milk of 32 Korean lactating wormen and vitamin A intake of infants were studied 7, 10 and 15 days postpartum. Retinol concentration of the milk averaged 93.6$\pm$47.1, 80.1$\pm$41.6 and 66.7$\pm$33.5$\mu\textrm{g}$/100ml at 7, 10 and 15 days postpartum respectively and showed decreasing trend in total mothers. $\beta$-carotene concentration showed similar decreasing trend averaged 13.4$\pm$10.6, 8.2$\pm$4.6 and 5.3$\pm$3.4$\mu\textrm{g}$/100ml respectively. Vitamin A concentration decreased with the respective amount of 94.9$\pm$47.1, 80.5$\pm$41.5 and 67.3$\pm$33.0 R.E../100ml during the lactation. The average vitamin A secretion in the milk of all mothers appeared 410.0 R.E/day. Vitamin A secretion of multiparae (450.1 R.E./100ml) appeared not significantly higher than those of primiparae(370.0 R.E./100ml). The average vitamin A intake of infants in the milk averaged 333.7 R.E./day and was 95.3% of RDA for infants. Vitamin A intake per body weight of infants in the milk averaged 110.6, 91.9 and 79.2 R.E./kg/day respectively.

  • PDF

An analysis on the distribution characteristics of PM10 concentration and its relation to the death from Asthma in Seoul, Korea (서울지역 PM10 농도의 분포 특성과 천식 사망자 수의 상관성 분석)

  • Park, Jong-Kil;Choi, Yun-Jeong;Jung, Woo-Sik
    • Journal of Environmental Science International
    • /
    • v.24 no.7
    • /
    • pp.961-968
    • /
    • 2015
  • The production of highly concentrated $PM_{10}$ is in the spotlight as a social issue, and it increases the attack rate of Asthma. This study aimed to analyze the characteristics of concentration and distribution for $PM_{10}$ from 2000 to 2011, and investigate its correlation with the death from Asthma. Furthermore, this study was designed to analyze it by dividing into two cases like including Asian dust and excluding Asian dust because it presented the high concentration when Asian dust was occurred in the spring. This study has found that the annual average concentration distribution of $PM_{10}$ in Seoul was higher in the central area than the peripheral area. The annual average concentration of $PM_{10}$ and death from asthma displayed the tendency to gradually decrease. The correlation coefficient for all period was 0.92(p=0.000), and the correlation was 0.84(p=0.001) in case of remove Asian dust. The monthly average concentration of $PM_{10}$ has increased in the winter and decreased in the summer. The death from Asthma and correlation coefficient for all period was 0.588(p=0.044) and 0.640(p=0.025) in case of removing Asian dust. Although the causes of Asthma had a great diversity, the similar tendency by a factor of $PM_{10}$ meant that the correlation was high.

Analysis on Meteorological Factors related to the Distribution of PM10 Concentration in Busan (부산지역 미세먼지 농도 분포에 따른 기상요소 분석)

  • Kim, Min-Kyoung;Jung, Woo-Sik;Lee, Hwa Woon;Do, Woo-Gon;Cho, Jung-Gu;Lee, Kwi-Ok
    • Journal of Environmental Science International
    • /
    • v.22 no.9
    • /
    • pp.1213-1226
    • /
    • 2013
  • $PM_{10}$ concentration is related to the meteorological variables including to local and synoptic meteorology. In this study the $PM_{10}$ concentrations of Busan in 2007~2011 were analyzed and the days of yellow sand or rainfall which is more than 5 mm were excluded. The sections of $PM_{10}$ concentration were divided according to 10-quantiles, quartiles and 90-quantiles. The 90-quantiles of daily $PM_{10}$ concentration were selected as high concentration dates. In the high concentration dates the daily mean averaged cloudness, mean daily surface wind speed, daily mean surface pressure and PBL height were low and diurnal variation of surface pressure and daily maximum surface temperature were high. When the high $PM_{10}$ dates occurred, the west and south wind blew on the ground and the west wind blew strongly on the 850 hPa. So it seemed that long range transboundary air pollutants made effects on the high concentration dates. The cluster analysis using Hysplit model which is the backward trajectory was made on the high concentration dates. As a result, 3 clusters were extracted and on the short range transboundary cluster the daily mean relative humidity and cloudness were high and PBL height was low.

Characteristics of Particulate Matter Concentration and Classification of Contamination Patterns in the Seoul Metropolitan Subway Tunnels (서울시 지하철 터널 내 입자상물질의 농도 특성 및 오염형태 분류)

  • Lee, Eun-Sun;Lee, Tae-Jung;Park, Min-Bin;Park, Duck-Shin;Kim, Dong-Sool
    • Journal of Korean Society for Atmospheric Environment
    • /
    • v.33 no.6
    • /
    • pp.593-604
    • /
    • 2017
  • The suspended particulate matter(PM) was measured in subway tunnel of Seoul Line 1 to 9 in order to evaluate the pollution degree and characteristics of the PM in the subway tunnel. Also, to analyze the effect of outdoor aerosol concentration on the PM concentration of subway tunnels, the ambient PM concentration around the subway station was extracted by spatial analysis using $PM_{10}$ data of Seoul air pollution monitoring network. Finally, in order to understand pollution pattern in the Seoul subway tunnels, cluster analysis was performed based on input data set such as PM levels in tunnel, tunnel depth, length, curvature radius, outdoor ambient air pollution levels and so on. The average concentration of $PM_{10}$, $PM_{2.5}$, and $PM_1$ on subway tunnels were $98.0{\pm}37.4$, $78.4{\pm}28.7$, and $56.9{\pm}19.2{\mu}g/m^3$, respectively. As a result of the cluster analysis, tunnels from Seoul subway Line-1 to Line-9 were classified into five classes, and the concentrations and physical properties of the tunnels were compared. This study can provide a method to reduce PM concentration in tunnel for each pollution pattern and provide basic information about air quality control in Seoul subway tunnel.