• Title/Summary/Keyword: $PM_{10}$ and $PM_{2.5}$ concentration

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Laboratory Evaluation of Entomopathogenic Nematodes, Steinernema carpocapsae and Heterorhabditis bacteriophora against Some Forest Insect Pests (곤충 병원성 선충 Steinernema carpocapsae와 Heterorhabditis bacteriophora를 이용한 삼립해충의 방제)

  • ;Harry K. Kaya
    • Korean journal of applied entomology
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    • v.30 no.4
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    • pp.227-232
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    • 1991
  • The pathogenicity of entomopathogenic nematodes Sfeinernema earpocapsae and Heferorhabditis baeferiophora was evaluated against forest insect pests, alder leaf beetle Agelastiea eoerulea, pellucid zygaenid Pryeria siniea, and box-tree pyralid Glyphodes perspeetalis. Alder leaf beetle larvae were exposed to S. earpocapsae at concentration of 0, 25, 50, and 100 nematodes and to H. baeferiophora at concentration of 0, 10, 20, and 40 nematodes per larva on alder leaves. Mortalities of 1st instar lavae were 85.4 $\pm$ 4.1-100%, 2nd instar larvae 80.0 $\pm$ 5.8-100%, and 3rd instar larvae 65.0 $\pm$ 10.8-100% in S. earpocapsae and those of 1st instar larvae were 82.5 $\pm$ 6.9-100%, 2nd instar larvae 77.5 $\pm$ 4.7-100%, and 3rd instar larvae 55.0 $\pm$ 13.5-100% in H. baeferiophora treatment. When pellucid zygaenid larvae were exposed to S. earpocapsae at concentration of 0, 5, 10, 20, 40, and 80 nematodes and to H. baeteriophora at concentration of 0, 2, 5, 10,20, and 40 nematodes per larva, mortalities were 98.9 $\pm$ 1.1-100% in S. earpocapsae and 26.7 $\pm$ 5.1-74.5 $\pm$ 6.2% in H. baeferiophora. The mortalities of box-tree pyralid larvae were 97.8 $\pm$ 1.5-100% in S. earpocapsae treated with concentration of 0,20,40, and 80 nematodes per larva and those were 92.0 $\pm$ 6.2-98.9 $\pm$ 1.1 % in H. baeferiophora treated with con'||'&'||'not;centration of 0, 10, 20, and 40 nematodes per larva.

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Comparison of Metal Contents in Respirable Particulate Mass by Particle Size and Season in Seoul and Asan City (서울.아산지역 호흡성먼지의 금속함량에 관한 연구)

  • Choi, Yun-Na;Jeon, Yong-Taek;Jang, Bong-Ki;Yang, Won-Ho;Yom, Yoon-Ki;Son, Bu-Soon
    • Journal of environmental and Sanitary engineering
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    • v.23 no.1
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    • pp.33-48
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    • 2008
  • The purpose of this study was to characterize background mass concentration of $PM_{10},\;PM_{2.5}$ and metallic composition from June 2004 to June 2005 in comparison with Seoul and Asan city. The results were as follows: 1. Annual mean of $PM_{10}$ concentrations in Seoul and Asan were $56.95({\pm}25.63){\mu}g/m^3,\;57.02({\pm}27.22){\mu}g/m^3$ respectly. 2. Annual mean of $PM_{2.5}$ concentrations in Seoul and Asan were $46.97({\pm}40.36){\mu}g/m^3,\;42.16({\pm}21.79){\mu}g/m^3$ respectly. 3. The average $PM_{2.5}/PM_{10}$ ratio was 0.82 in Seoul and 0.74 in Asan city. 4. The concentration of $PM_{10},\;PM_{2.5}$ were the highest in spring and the lowest in summer. Asan was higher than Seoul in spring and summer. 5. The results showed that average $PM_{10}$ composition order as Si>Fe>Pb>Zn>Mn in Seoul and Si>Fe>Zn>Pb>Mn in Asan. The concentration of metals in $PM_{10}$ of Seoul that Cr, Cu, Fe, Mn were high in spring and Zn was low in Fall. Fe, Mn were high in spring of Asan. 6. The results showed that average $PM_{2.5}$ composition order as Si>Pb>Fe>Zn>Mn in Seoul and Si>Fe>Pb>Zn>Cr in Asan. The concentration of metals in $PM_{2.5}$ of Seoul that Cr was high in spring. 7. The result showed that relation between Cr and Cu, Cu and Fe, Fe and Mn, Mn and Zn, Zn and Si in Seoul, Cr and Zn, Cu and Pb, Zn and Pb, Pb and Mn in Asan. The result showed that $PM_{10}$ concentration exceeding $50{\mu}g/m^3$(US-EPA Standard) and $PM_{2.5}$ concentration exceeding $15{\mu}g/m^3$(US-EPA Standard). In urban area, the monitoring of $PM_{2.5}$ permits the anthropogenic sources and the interference of natural sources with respect to $PM_{10}$ measurements.

Effect of the Nishinoshima Volcanic Eruption on Fine Particulate Concentration in Busan in Early August 2020 (일본 니시노시마 화산 분출이 2020년 8월 초 부산지역의 미세먼지 농도에 미치는 영향)

  • Byung-Il Jeon
    • Journal of Environmental Science International
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    • v.31 no.12
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    • pp.1079-1087
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    • 2022
  • This study investigated the effect of volcanic materials that erupted from the Nishinoshima volcano, Japan, 1,300 km southeast of the Busan area at the end of July 2020, on the fine particle concentration in the Busan area. Backward trajectory analysis from the HYSPLIT model showed that the air parcel from the Nishinoshima volcano turned clockwise along the edge of the North Pacific high pressure and reached the Busan area. From August 4 to August 5, 2020, the concentration of PM10 and PM2.5 in Busan started to increase rapidly from 1000 LST on August 4, and showed a high concentration for approximately 13 hours until 2400 LST. The PM2.5/PM10 ratio showed a relatively high value of 0.7 or more, and the SO2 concentration also showed a high value at the time when the PM10 and PM2.5 concentrations were relatively high. The SO42- concentration in PM2.5 in Busan showed a similar trend to the change in PM10 and PM2.5 concentrations. It rose sharply from 1300 LST on August 4, at the time where it was expected to have been affected by the Nishinoshima Volcano. This study has shown that the occurrence of high concentration fine particle in Busan in summer has the potential to affect Korea not only due to anthropogenic factors but also from natural causes such as volcanic eruptions in Japan.

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
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    • v.23 no.7
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    • pp.1241-1251
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    • 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.

Pilot Study for Difference of Secondhand Smoke Exposure at Smoking and Non-smoking Nightclubs (흡연과 금연 나이트클럽의 간접흡연 노출의 차이에 대한 탐색연구)

  • Guak, Sooyoung;Lee, Boram;Xu, Siyu;Lee, Kiyoung;Lee, Dohoon
    • Journal of Environmental Health Sciences
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    • v.40 no.1
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    • pp.10-16
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    • 2014
  • Objectives: This pilot study assessed secondhand smoke (SHS) exposure in smoking and non-smoking nightclubs in Seoul, Korea by measuring the concentration of particulate matter smaller than $2.5{\mu}m$ ($PM_{2.5}$). Methods: This comparative study was conducted in three nightclubs in Seoul. While one non-smoking nightclub was measured on weekdays and weekends, different smoking nightclubs were measured on weekdays and weekends. The concentration of $PM_{2.5}$ was observed using a real-time monitor over an average of three hours. The number of people in the clubs was also estimated. Settled dust was collected in a smoking and a non-smoking nightclub and analyzed for NNK concentration. Results: The $PM_{2.5}$ concentration in the smoking nightclubs was higher than those found in the non-smoking nightclub by 26 times on weekdays and three times on weekends. Indoor $PM_{2.5}$ concentration was correlated with the number of people in the smoking nightclubs. Relatively high $PM_{2.5}$ concentration was observed in the non-smoking nightclub on weekends. NNK concentration in the smoking nightclub was 7 times higer than in the non-smoking nightclub. Conclusion: Smoking in nightclubs caused high $PM_{2.5}$ concentration. Although the non-smoking nightclub had a lower $PM_{2.5}$ concentration, $PM_{2.5}$ concentration on weekends was higher due to the smoking room. Complete prohibition of smoking in nightclubs can protect patrons from secondhand smoke exposure.

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
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    • v.34 no.3
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    • pp.271-274
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    • 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.

Chemical Properties of the Metallic Elements and the Mass Concentration of PM10 and PM2.5 Observed in Busan, Korea in Springtime of 2006-2008 (2006-2008년 봄철 부산 지역 PM10과 PM2.5의 질량농도 및 금속성분의 화학적 특성)

  • Jeon, Byung-Il;Hwang, Yong-Sik
    • Journal of the Korean earth science society
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    • v.31 no.3
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    • pp.234-245
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    • 2010
  • Twenty-four hour integrated $PM_{10}$ and $PM_{2.5}$ samples were measured during springtime (March, April, and May) in Busan for three years from 2006 to 2008, and mass concentrations and metallic elements of measurement were analyzed to investigate temporal, spatial, chemical characteristics of the mass concentration and metallic elements in association with meteorological conditions including Asian Dust (AD) vs. non Asian Dust (NAD) seasons, and other air mass transport patterns. The result showed that $PM_{10}$, $PM_{2.5}$ and $PM_{10-2.5}$ concentrations were on average of $126.2{\pm}89.8$, $85.5{\pm}41.6$, and $40.7{\pm}54.9{\mu}g/m^3$, respectively, and the $PM_{2.5}/PM_{10}$ and $PM_{10-2.5}/PM_{2.5}$ ratios were 0.70 and 0.48, respectively. The highest concentrations of PM were observed when air parcels were originated from both northwest sector covering Beijing and west sector including Shanghai areas.

Forecasting daily PM10 concentrations in Seoul using various data mining techniques

  • Choi, Ji-Eun;Lee, Hyesun;Song, Jongwoo
    • Communications for Statistical Applications and Methods
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    • v.25 no.2
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    • pp.199-215
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    • 2018
  • Interest in $PM_{10}$ concentrations have increased greatly in Korea due to recent increases in air pollution levels. Therefore, we consider a forecasting model for next day $PM_{10}$ concentration based on the principal elements of air pollution, weather information and Beijing $PM_{2.5}$. If we can forecast the next day $PM_{10}$ concentration level accurately, we believe that this forecasting can be useful for policy makers and public. This paper is intended to help forecast a daily mean $PM_{10}$, a daily max $PM_{10}$ and four stages of $PM_{10}$ provided by the Ministry of Environment using various data mining techniques. We use seven models to forecast the daily $PM_{10}$, which include five regression models (linear regression, Randomforest, gradient boosting, support vector machine, neural network), and two time series models (ARIMA, ARFIMA). As a result, the linear regression model performs the best in the $PM_{10}$ concentration forecast and the linear regression and Randomforest model performs the best in the $PM_{10}$ class forecast. The results also indicate that the $PM_{10}$ in Seoul is influenced by Beijing $PM_{2.5}$ and air pollution from power stations in the west coast.

The Study of PM10, PM2.5 Mass Extinction Efficiency Characteristics Using LIDAR Data (라이다 데이터를 이용한 PM10, PM2.5 질량소산효율 특성 연구)

  • Kim, TaeGyeong;Joo, Sohee;Kim, Gahyeong;Noh, Youngmin
    • Korean Journal of Remote Sensing
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    • v.37 no.6_2
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    • pp.1793-1801
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    • 2021
  • From 2015 to June 2020, the backscattering coefficients of 532 and 1064 nm measured using LIDAR and the depolarization ratio at 532 nm were used to separate the backscattering coefficient at 532 nm as three types as PM10, PM2.5-10, PM2.5 according to particle size. The mass extinction efficiency (MEE) of three types was calculated using the mass concentration measured on the ground. The overall mean values of the calculated MEE were 5.1 ± 2.5, 1.7 ± 3.7, and 9.3 ± 6.3 m2/g in PM10, PM2.5-10, and PM2.5, respectively. When the mass concentration of PM10 and PM2.5 was low, higher than average MEE was calculated, and it was confirmed that the MEE decreased as the mass concentration increased. When the MEE was calculated for each type according to the mixing degree of Asian dust, PM2.5-10 was twice at pollution aerosol as high as 2.1 ± 2.8 m2/g, compare to pollution-dominated mixture, dust-dominated mixture, and pure dust of 1.1 ± 1.8, 1.4 ± 3.3, 1.1 ± 1.5 m2/g, respectively. However, PM2.5 MEE showed similar values irrespective of type: 9.4 ± 6.5, 9.0 ± 5.8, 10.3 ± 7.5, and 9.1 ± 9.0 m2/g. The MEE of PM10 was 5.6 ± 2.9, 4.4 ± 2.0, 3.6 ± 2.9, and 2.8 ± 2.4 m2/g in pollution aerosol (PA), pollution-dominated mixture (PDM), dust-dominated mixture (DDM), and pure dust (PD), respectively, and increased as the dust ratio value decreased. Even if the same type according to the same mass concentration or Asian dust mixture was shown, as the PM2.5/PM10 ratio decreased, the MEE of PM2.5-10 decreased and the MEE of PM2.5 showed a tendency to increase.

Characteristics of Fine Particle Concentration and Case during Haze Days in Busan (부산 지역 연무 발생일의 미세먼지 농도와 사례별 특성)

  • Jeon, Byung-Il
    • Journal of Environmental Science International
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    • v.26 no.6
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    • pp.751-765
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    • 2017
  • This research investigates the characteristics of meteorological variation and fine particles ($PM_{10}$ and $PM_{2.5}$) for case related to the haze occurrence (Asian dust, long range transport, stationary) in Busan. Haze occurrence day was 559 days for 20 years (from 1996 to 2015), haze occurrence frequency was 82 days (14.7%) in March, followed by 67 days (12.0%) in February and 56 days (10.0%) in May. Asian dust occurred most frequently in spring and least in winter, whereas haze occurrence frequency was 31.5% in spring, 29.7% in winter, 21.1% in fall, and 17.7% in summer. $PM_{10}$ concentration was highest in the occurrence of Asian dust, followed by haze and haze + mist, whereas $PM_{2.5}$ concentration was highest in the occurrence of haze. These results indicate that understanding the relation between meteorological phenomena and fine particle concentration can provide insight into establishing a strategy to control urban air quality.