• 제목/요약/키워드: PM10

검색결과 1,286건 처리시간 0.036초

부산지역 최근 4년간(2015~2018년) PM10과 PM2.5농도의 시·공간적 변화 특성 (Spaciotemporal Variation of PM10 and PM2.5 Concentration for 2015 to 2018 in Busan)

  • 전병일
    • 한국환경과학회지
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    • 제29권7호
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    • pp.749-760
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    • 2020
  • This study investigates the characteristics of diurnal, seasonal, and weekly roadside and residential concentrations of PM10 and PM2.5 in Busan, as well as relationship with meteorological phenomenon. Annual mean PM10 and PM2.5 concentrations in Busan were 44.2 ㎍/㎥ and 25.3 ㎍/㎥, respectively. The PM2.5/PM10 concentration ratio was 0.58. Diurnal variations of PM10 and PM2.5 concentrations in Busan were categorized into three types, depending on the number of peaks and times at which the peaks occurred. Roadside PM10 concentration was highest on Saturday and lowest on Friday. Residential PM10 concentration was highest on Monday and lowest on Friday. Residential PM2.5 concentration was highest on Monday and Tuesday and lowest on Friday. PM10 and PM2.5 concentrations were highest on Asian dust and haze, respectively. The results indicate that understanding the spaciotemporal variation of fine particles could provide insights into establishing a strategy to control urban air quality.

황사 발생과 대기 중 PM10, PM2.5, Cd, Pb 농도의 상관성 (Correlation among PM10, PM2.5, Cd, and Pb Concentrations in Ambient Air and Asian Dust Storm Event)

  • 문찬석
    • 한국환경보건학회지
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    • 제46권5호
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    • pp.532-538
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    • 2020
  • Objectives: The study evaluated correlations among monthly PM2.5, PM10, Cd, Pb concentrations and the number of Asian dust days. Methods: Based on data from 'The annual report on air quality in Korea from 1999 to 2017', concentrations of PM10, PM2.5, Cd, Pb, and the number of Asian dust days were recalculated to mean, standard deviation, minimum, and maximum. Correlation coefficients were calculated among PM2.5, PM10, Cd, Pb, and Asian dust days. Results: Asian dust days were correlated only with PM10 among the four factors of PM10, PM2.5, Cd, and Pb. The four factors of PM10, PM2.5, Cd, and Pb were very significantly correlated with each other (p<0.01). Their correlation coefficients for PM10 were 0.800 for PM2.5, 0.823 for Cd, and 0.892 for Pb. PM2.5 was also correlated strongly with Cd (0.845) and Pb (0.830). Cd had a correlation with Pb of 0.971. The maximums of PM2.5, PM10, and Pb were shown to exceed the atmospheric environmental standard of Korea, which necessitates national continuous exposure control. Based on exposure data, Asian dust days were thought to be an exposure factor for Cd and Pb. Conclusion: Asian dust might be a factor in Cd and Pb exposure. National exposure controls are required for exposure to PM2.5, PM10, Cd, and Pb.

제주특별자치도 도시지역 미세먼지 악화 시 기상요소 분석 (Analysis of Meteorological Factors when Fine Particulate Matters Deteriorate in Urban Areas of Jeju Special Self-Governing Province)

  • 신지환;조상만;박수국
    • Ecology and Resilient Infrastructure
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    • 제9권1호
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    • pp.36-58
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    • 2022
  • 본 연구에서는 제주도의 도시지역을 대상으로 관측이 시작된 2001년부터 2019년까지의 미세먼지 (PM10)와 초미세먼지 (PM2.5) 악화 빈도에 따른 기상 상황을 분석하였다. PM10과 PM2.5의 악화는 제주시와 서귀포시 모두 봄>겨울>가을>여름철 순으로 나타났으며, 봄·여름철에는 주간에 가을·겨울철에는 야간에 더 많이 나타났으며, PM10보다 PM2.5의 피해가 더 심각하게 나타났다. PM10 악화 시의 기온과 풍속은 제주시와 서귀포시 모두 봄·겨울철에는 각각의 계절평균보다 높게 나왔으나, 여름·가을철에는 반대로 낮게 나왔다. 상대습도는 계절평균보다 모든 계절에 낮게 나타났다. PM2.5 악화 시 기온은 PM10 악화 시와 계절별 동일한 경향을 보였으며, 상대습도는 봄·여름철에는 제주시와 서귀포시 모두 평균보다 높았으며, 겨울철에는 평균보다 낮았다. 풍속은 두 도시 동일하게 평균보다 낮게 나왔다. PM2.5 악화 시가 PM10 악화 시보다 봄·겨울철에 기온과 풍속이 더 낮을 때 발생 빈도가 높은 것으로 나타났다. PM10과 PM2.5 악화 시 풍향은 주간에는 북풍과 서풍이, 야간에는 계절별로 다양하게 나타났다. 특히, PM10에 비해 PM2.5 악화 시 풍속이 낮게 나타나 한라산에서 발생하는 산곡풍의 영향으로 제주시는 남풍이 서귀포시는 북풍이 야간에 자주 발생하였다. 풍속등급별 PM10 악화 빈도수는 제주시와 서귀포시 모두 주·야간 1.6 - 3.4 ms-1에서 가장 높았고, 여름철 야간에만 0.3 - 1.6 ms-1에서 가장 높은 값을 보였다. PM2.5 악화 빈도수는 제주시에서는 1.6 - 3.4 ms-1에서 가장 높은 값이 나타났으나, 서귀포시에서는 0.3 - 1.6 ms-1에서 가장 높은 값이 나타났다. 제주시와 서귀포시 모두 PM10과 PM2.5 악화 시 3.4 ms-1이상의 바람이 0.3 ms-1이하의 바람보다 빈도가 더 높은 것으로 나타나므로, 이는 PM10과 PM2.5가 바람의 영향으로 도시지역 외부에서 유입된 것이 주요인이라고 할 수 있겠다. 위 자료를 토대로 미세먼지 저감을 위한 도시계획 및 조경식재계획 방안을 마련한다면 효과적일 것으로 판단된다.

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

  • 김태경;주소희;김가형;노영민
    • 대한원격탐사학회지
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    • 제37권6_2호
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    • pp.1793-1801
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    • 2021
  • 2015년 1월부터 2020년 6월까지 라이다를 이용하여 측정된 532와 1064 nm의 후방산란계수와 532 nm의 편광소멸도를 이용하여 532 nm의 후방산란계수를 PM10, PM2.5-10, PM2.5에 해당하는 세 유형으로 구분하고 지상에서 측정된 질량 농도를 이용하여 각각의 질량소산효율을 산출하였다. 산출된 질량소산효율의 전체 평균값은 PM10, PM2.5-10, PM2.5에서 각각 5.1±2.5, 1.7±3.7, 9.3±6.3 m2/g으로 PM2.5가 가장 높은 값을 보였다. PM10과 PM2.5의 질량 농도가 낮을 때 평균 이상의 높은 질량소산효율이 산출되었으며 질량 농도가 높아질수록 질량소산효율이 감소되는 경향을 확인하였다. 황사의 혼합 정도에 따른 유형별로 질량소산효율을 산출하였을 때, PM2.5-10는 황사의 영향으로 오염입자(pollution aerosol, PA)가 2.1±2.8 m2/g으로 오염입자가 주요한 혼합입자(pollution-dominated mixture, PDM), 황사가 주요한 혼합입자 (dust-dominated mixture, DDM), 순수황사 (pure dust, PD)의 1.1±1.8, 1.4±3.3, 1.1±1.5 m2/g보다 두 배 정도 높은 값을 보였다. 하지만, PM2.5는 9.4±6.5, 9.0±5.8, 10.3±7.5, 9.1±9.0 m2/g으로 유형 구분 없이 비슷한 값을 보였다. PM10의 질량소산효율은 PA, PDM, DDM, PD 에서 각각 5.6±2.9, 4.4±2.0, 3.6±2.9, 2.8±2.4 m2/g으로 황사의 비율이 감소할수록 증가하는 경향을 보였다. 동일한 질량 농도 또는 황사 혼합에 따른 동일한 유형을 보이더라도 PM2.5/PM10 값이 낮아질수록 PM2.5-10의 질량소산효율은 감소하고, PM2.5의 질량소산효율은 증가하는 경향을 보였다.

Analysis of Relationship between Construction Accidents and Particulate Matter using Big Data

  • Lee, Minsu;Jeong, Jaewook;Jeong, Jaemin;Lee, Jaehyun
    • 국제학술발표논문집
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    • The 9th International Conference on Construction Engineering and Project Management
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    • pp.128-135
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    • 2022
  • Because construction work is conducted outdoors, construction workers are affected by harmful environmental factor. Especially, Particulate Matter (PM10) is one of the harmful environmental factors with a diameter of 10㎍/m3 or less. When PM10 is inhaled by human, it can cause fatal impact on the human. Contrary to the various analyses of health impact on PM10, the research on the relationship between construction accidents and PM10 are few. Therefore, this study aims to conduct the relative frequency analysis which find out the correlation between construction accidents and PM10, and the modified PM10 grade is suggested to expect accidents probability caused by PM10 in the construction industry. This study is conducted by four steps. i) Establishment of the database; ii) Classification of data; iii) Analysis of the Relative Frequency of accidents in the construction industry by PM10 concentration; iv) Modified PM10 groups to classify the impact of PM10 on accident. In terms of frequency analysis, the most accidents were occurred in the average concentration of PM10 (32㎍/m3). However, we found that the relative frequency of accident was increased as the concentration of PM10 increased. This means the higher PM10 concentration can cause more accidents during construction. In addition, PM10 concentration was divided as 6 groups by the WHO, but the modified PM10 grade by the relative frequency on accident was suggested as 3 groups.

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부산지역 PM10, PM2.5 일평균에 의한 호흡기 및 심혈관질환 초과위험도 분포 (Effect of Daily Mean PM10 and PM2.5 on Distribution of Excessive Mortality Risks from Respiratory and Cardiovascular Diseases in Busan)

  • 도우곤;정우식
    • 한국환경과학회지
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    • 제30권7호
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    • pp.573-584
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    • 2021
  • To analyze the effects of PM10 and PM2.5 on daily mortality cases, the relations of death counts from natural causes, respiratory diseases, and cardiovascular diseases with PM10 and PM2.5 concentrations were applied to the generalized additive model (GAM) in this study. From the coefficients of the GAM model, the excessive mortality risks due to an increase of 10 ㎍/m3 in daily mean PM10 and PM2.5 for each cause were calculated. The excessive risks of deaths from natural causes, respiratory diseases, and cardiovascular diseases were 0.64%, 1.69%, and 1.16%, respectively, owing to PM10 increase and 0.42%, 2.80%, and 0.91%, respectively, owing to PM2.5 increase. Our result showed that particulate matter posed a greater risk of death from respiratory diseases and is consistent with the cases in Europe and China. The regional distribution of excessive risk of death is 0.24%-0.81%, 0.34%-2.6%, and 0.62%-1.94% from natural causes, respiratory diseases, and cardiovascular diseases, respectively, owing to PM10 increase, and 0.14%-1.02%, 1.07%-3.92%, and 0.22%-1.73% from natural causes, respiratory diseases, and cardiovascular diseases, respectively, owing to PM2.5 increase. Our results represented a different aspect from the regional concentration distributions. Thus, we saw that the concentration distributions of air pollutants differ from the affected areas and identified the need for a policy to reduce damage rather than reduce concentrations.

드론을 이용한 토지이용별 미세먼지 농도 측정 가능성 모색 연구 (Investigation of Measurement Feasibility of Particulate Matter Concentration by Different Land-Use Types Using Drone)

  • 손승우;유재진;김동우;김태현;성웅기;윤정호
    • 한국산학기술학회논문지
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    • 제21권4호
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    • pp.259-267
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    • 2020
  • 본 연구에서는 원하는 시간과 장소에서 데이터 수집이 용이한 드론에 미세먼지 측정 센서를 부착하여 3가지 측정환경인 건설현장, 자연환경(수목원), 주거지역에서 고도(30m, 60m, 90m, 120m, 150m)에 따른 미세먼지 농도를 측정하고 비교하였다. 건설현장 30m 지점의 PM2.5와 PM10 측정값은 각각 18.63㎍/㎥, 24.23㎍/㎥, 150m 지점의 PM2.5와 PM10 측정값은 각각 10.89㎍/㎥, 10.61㎍/㎥로 고도가 높아질수록 평균 농도가 낮아지는 것으로 나타났다. 자연환경(수목원) 30m 지점의 PM2.5와 PM10 측정값은 각각 9.03㎍/㎥, 11.21㎍/㎥, 150m 지점의 PM2.5와 PM10 측정값은 각각 3.42㎍/㎥, 3.57㎍/㎥로 고도가 높아질수록 평균 농도가 낮아지는 것으로 나타났으나, 모든 지점의 PM2.5와 PM10 측정값은 비슷한 것으로 나타났다. 주거지역 30m 지점의 PM2.5와 PM10 측정결과는 각각 10.65㎍/㎥, 12.06㎍/㎥, 150m 지점의 PM2.5와 PM10의 측정값은 각각 4.24㎍/㎥, 5.17㎍/㎥로 고도가 높아질수록 대체적으로 PM2.5와 PM10농도가 낮아짐을 확인하였다. 주거지역의 경우 건설현장이나 수목원에 비해 교통량이 많은 도로에 인접해 있어 PM2.5의 농도가 PM10의 농도보다 높게 나온 것으로 사료된다. 세 대상지 모두 고도가 상승할수록 PM2.5와 PM10의 농도가 감소하는 추세를 보였다. 또한, 건설현장, 주거지역, 자연환경(수목원) 순으로 PM2.5와 PM10의 농도가 높은 것으로 확인하였다. 본 연구의 결과는 토지이용별로 미세먼지 농도값을 고도별로 측정하였다는데 의의가 있으며, 지역계획이나 도시계획 등에서 중요한 공간의사결정 기초자료로 활용될 수 있을 것으로 사료된다.

봄철 산란계사 사육형태별 미세먼지 및 암모니아 농도 비교 (Comparison of Particulate Matter and Ammonia Emission in Different Types of Laying Hen Poultry Houses during Spring)

  • 홍의철;강보석;강환구;전진주;유아선;김현수;손지선;김희진;윤연서
    • 한국가금학회지
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    • 제48권3호
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    • pp.151-160
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    • 2021
  • 본 연구는 산란계사 사육형태별 봄철의 미세먼지(PM) 및 암모니아(NH3) 배출 농도를 측정하기 위해 수행하였다. 평사, Aviary 그리고 Cage 계사에서 미세먼지 및 암모니아 농도를 3~5월 동안 2주 간격으로 3회(24시간/회) 측정하였다. PM10과 PM2.5 농도는 24시간 동안 유사한 경향을 보였으며, 22:00부터 04:00까지 낮게 나타났다. 평사와 케이지 계사의 PM(PM10, PM2.5) 농도는 유사하게 나타났으며, 일일 편차도 심하게 보이지 않았다. 평사 계사에서는 중앙과 끝에서 24시간 동안 측정한 NH3 농도가 일정하게 나타났다. 측정 위치와 관계없이 평사에서 NH3 농도가 가장 낮게 나타났다. 평사와 Aviary 계사에서는 중앙보다 끝에서 측정된 NH3 농도가 더 높았으나, 케이지 계사에서는 끝에서 측정된 NH3 농도가 더 낮았다. 계사 주변의 PM10과 PM2.5 농도는 각각 57.5 ㎍/m3와 34.0 ㎍/m3이었다. 일평균 PM10과 PM2.5 농도는 Aviary 계사에서 4,730 ㎍/m3와 447.7 ㎍/m3로 가장 높았다. 계사 중앙과 끝의 NH3 농도는 케이지 계사에서 12.0 ppm과 9.31 ppm으로 가장 높았다. PM10과 PM2.5의 배출계수는 케이지에서 가장 낮았으며, NH3의 배출계수는 가장 높았다(P>0.05). 결론적으로, PM(PM10, PM2.5) 농도는 Aviary 계사에서, NH3 농도는 Cage 계사에서 각각 높게 나타났다.

서울지역 장기간 강수와 미세먼지의 특성 분석에 기반한 미세먼지 세정효과 (Scavenging Efficiency Based on Long-Term Characteristics of Precipitation and Particulate Matters in Seoul, Korea)

  • 한수지;엄준식
    • 대기
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    • 제33권4호
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    • pp.367-385
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    • 2023
  • The variabilities of precipitation and particulate matters (i.e., PM10 and PM2.5) and the scavenging efficiency of PMs by precipitation were quantified using long-term measurements in Seoul, Korea. The 21 years (2001~2021) measurements of precipitation and PM10 mass concentrations, and the 7 years (2015~2021) of PM2.5 mass concentrations were used. Statistical analysis was performed for each period (i.e., year, season, and month) to identify the long-term variabilities of PMs and precipitation. PM10 and PM2.5 decreased annually and the decreasing rate of PM10 was greater than PM2.5. The precipitation intensity did not show notable variation, whereas the annual precipitation amount showed a decreasing trend. The summer precipitation amount contributed 61.10% to the annual precipitation amount. The scavenging efficiency by precipitation was analyzed based on precipitation events separated by 2-hour time intervals between hourly precipitation data for 7 years. The scavenging efficiencies of PM10 and PM2.5 were quantified as a function of precipitation characteristics (i.e., precipitation intensity, amount, and duration). The calculated average scavenging efficiency of PM10 (PM2.5) was 39.59% (35.51%). PM10 and PM2.5 were not always simultaneously scavenged due to precipitation events. Precipitation events that simultaneously scavenged PM10 and PM2.5 contributed 42.24% of all events, with average scavenging efficiency of 42.93% and 43.39%. The precipitation characteristics (i.e., precipitation intensity, precipitation amount, and precipitation duration) quantified in these events were 2.42 mm hr-1, 15.44 mm, and 5.51 hours. This result corresponds to 145% (349%; 224%) of precipitation intensity (amount; duration) for the precipitation events that do not simultaneously scavenge PM10 and PM2.5.

Effects of Particulate Matter 10 Inhalation on Lung Tissue RNA expression in a Murine Model

  • Han, Heejae;Oh, Eun-Yi;Lee, Jae-Hyun;Park, Jung-Won;Park, Hye Jung
    • Tuberculosis and Respiratory Diseases
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    • 제84권1호
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    • pp.55-66
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    • 2021
  • Background: Particulate matter 10 (PM10; airborne particles <10 ㎛) inhalation has been demonstrated to induce airway and lung diseases. In this study, we investigate the effects of PM10 inhalation on RNA expression in lung tissues using a murine model. Methods: Female BALB/c mice were affected with PM10, ovalbumin (OVA), or both OVA and PM10. PM10 was administered intranasally while OVA was both intraperitoneally injected and intranasally administered. Treatments occurred 4 times over a 2-week period. Two days after the final challenges, mice were sacrificed. Full RNA sequencing using lung homogenates was conducted. Results: While PM10 did not induce cell proliferation in bronchoalveolar fluid or lead to airway hyper-responsiveness, it did cause airway inflammation and lung fibrosis. Levels of interleukin 1β, tumor necrosis factor-α, and transforming growth factor-β in lung homogenates were significantly elevated in the PM10-treated group, compared to the control group. The PM10 group also showed increased RNA expression of Rn45a, Snord22, Atp6v0c-ps2, Snora28, Snord15b, Snora70, and Mmp12. Generally, genes associated with RNA splicing, DNA repair, the inflammatory response, the immune response, cell death, and apoptotic processes were highly expressed in the PM10-treated group. The OVA/PM10 treatment did not produce greater effects than OVA alone. However, the OVA/PM10-treated group did show increased RNA expression of Clca1, Snord22, Retnla, Prg2, Tff2, Atp6v0c-ps2, and Fcgbp when compared to the control groups. These genes are associated with RNA splicing, DNA repair, the inflammatory response, and the immune response. Conclusion: Inhalation of PM10 extensively altered RNA expression while also inducing cellular inflammation, fibrosis, and increased inflammatory cytokines in this murine mouse model.