• Title/Summary/Keyword: 학교먼지

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Characteristics on $PM_{10}$ Levels at Classrooms of High Schools in Ulsan (울산지역 고등학교 미세먼지 농도 특성)

  • Jung, Jong-Hyeon;Seo, Bo-Sun;Phee, Young-Gyu;Shon, Byung-Hyun
    • Proceedings of the KAIS Fall Conference
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    • 2011.05a
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    • pp.300-302
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    • 2011
  • 본 논문에서는 울산지역의 79개 고등학교 238개 교실을 대상으로 측정한 미세먼지($PM_{10}$)의 농도를 학교, 교실, 지역별로 평가하였다. 울산지역 고등학교 미세먼지($PM_{10}$)의 평균농도는 $63.8 \;{\mu}g/m^3$이었고 일반계가 $64.9 \;{\mu}g/m^3$으로 전문계 고등학교 미세먼지($PM_{10}$)의 평균농도에 비해 높게 나타났으며, 사립고등학교가 공립 고등학교 미세먼지($PM_{10}$)의 평균농도 보다 높았다. 또한, 남녀공학 교실의 미세먼지($PM_{10}$) 평균농도가 남고와 여고에 비해 높았으나 통계적인 유의성은 없었다. 학생들의 활동이 많은 일반교실의 평균 미세먼지($PM_{10}$) 농도가 특별실 보다 통계적으로 유의하게 높게 나타났고 유지기준 초과율도 특별실에 비해 약 2배 이상 높았다. 학년별로는 1학년 교실의 미세먼지($PM_{10}$) 농도가 2학년에 비해 통계적으로 유의하게 높았다.

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Vulnerability Assessment for Fine Particulate Matter (PM2.5) in the Schools of the Seoul Metropolitan Area, Korea: Part II - Vulnerability Assessment for PM2.5 in the Schools (인공지능을 이용한 수도권 학교 미세먼지 취약성 평가: Part II - 학교 미세먼지 범주화)

  • Son, Sanghun;Kim, Jinsoo
    • Korean Journal of Remote Sensing
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    • v.37 no.6_2
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    • pp.1891-1900
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    • 2021
  • Fine particulate matter (FPM; diameter ≤ 2.5 ㎛) is frequently found in metropolitan areas due to activities associated with rapid urbanization and population growth. Many adolescents spend a substantial amount of time at school where, for various reasons, FPM generated outdoors may flow into indoor areas. The aims of this study were to estimate FPM concentrations and categorize types of FPM in schools. Meteorological and chemical variables as well as satellite-based aerosol optical depth were analyzed as input data in a random forest model, which applied 10-fold cross validation and a grid-search method, to estimate school FPM concentrations, with four statistical indicators used to evaluate accuracy. Loose and strict standards were established to categorize types of FPM in schools. Under the former classification scheme, FPM in most schools was classified as type 2 or 3, whereas under strict standards, school FPM was mostly classified as type 3 or 4.

Contamination Characteristics of Heavy Metals in Indoor, Outdoor and Playground of Schools in the Gochang-Gun, Chonbuk Province of South Korea (전북 고창지역 학교 실내외 환경의 중금속 오염 특성)

  • Kim, Yong-Hwan;Chung, Duk-Ho;Cho, Kyu-Seong
    • Journal of the Korean earth science society
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    • v.27 no.1
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    • pp.73-82
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    • 2006
  • Dust samples were collected from 10 middle and high schools in the Gochang-Gun, Korea. Heavy metal concentrations were determined for the dry-deposited dusts from indoor and outdoor of classroom and playground of each sampling site. Concentrations of Cd, Cu, Pb and Zn in indoor's dusts were highly concentrated. Also concentrations of Cu, Ni, Pb and Zn in outdoor's dusts were highly concentrated. Concentrations of Cd, Cu and Zn in the dusts were much higher than the world average contents in soil and environmental orientation value. These levels are similar to those of the dust samples at middle schools and high schools located in Jeonju-city, Korea. Compared with concentrations of heavy metals in soils and dusts in Korea, the environment of indoor and outdoor of classroom is highly concentrated except for Cu, Zn. The concentrations of playground is less than that of residential dust and main road dust and playground in Jeonju-city. Playground dusts in 1 school exhibited the enhanced heavy metal pollution with a pollution index (Kloke, 1979) greater than 1.0, but indoor and outdoor dusts in 7 schools exhibited the enhanced heavy metal pollution with a pollution index (by Kloke) yester than 1.0.

Development of Prediction Model for School Fine Dust (학교 미세먼지 예측 모델 개발)

  • Jeong, Jongduck;Han, Gyoohan;Kim, Sungsuk;Kim, Jaehyun
    • Proceedings of the Korea Information Processing Society Conference
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    • 2022.11a
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    • pp.14-16
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    • 2022
  • 세계보건기구에 의해 미세먼지가 1급 발암물질로 지정됨에 따라, 건강에 미치는 영향에 대한 관심이 커지고 있다. 성장기 학생들은 학교에서 오랫동안 머무르게 되며, 따라서 교내 미세먼지는 학생들의 건강에 미치는 영향이 매우 클 수 있다. 본 연구에서는 1년동안 대상 학교에서 수집한 미세먼지 관련 데이터 및 공개된 Air Korea, 기상청 데이터를 활용하여, LSTM 기반 미세먼지 예측 모델을 개발하였다. 수집한 데이터에서 일부 오류나 결측치가 있었지만, 이를 활용한 미세먼지 예측 정확도는 충분히 가치가 있다고 판단된다.

Analysis of Heavy Metal Element and Microorganism by Manufacture of Particulate Matter Sampler for Science Project of Secondary School (중등학교에서 사용 가능한 미세먼지 포집 장치 제작을 통한 대기 중 중금속 및 미생물 분석)

  • Kwon, Woo-Jin;Kim, Young-Jae;Byeon, Jung-Ho
    • Journal of the Korean earth science society
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    • v.36 no.1
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    • pp.125-135
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    • 2015
  • The purpose of this study were to sample particulate matter and analyze its elements and microorganisms for secondary school science project. The particulate matter was sampled on the rooftop a four-store building at a university in Chungju province. A simplified capturing system was developed with the parts, motor-pump, innet, $1.0{\mu}m$ teflon filter, filter-holder, etc. Using the system, this study had sampled particulate matter during Dec., 2013-Jun., 2014. Then, this study analyzed the elements and microorganisms of the sampled particulate matter. Results have been shown that the particulate matter derived China urban area is mainly consisted of the artificial pollutant, such as Cu, Zn, Cd, Ni, Pb. In addition, this study has been shown that microorganisms, such as bacteria and fungi, are included in the particulate matter. Therefore, this study suggests a new systemic investigation and monitoring about the particulate matter, specially originated from China. Also, this study provides a sample for secondary school science experiment.

A study on the Factors Affecting Behavior for Particulate Matter among Adolescents (청소년의 미세먼지 행위에 영향을 미치는 요인)

  • Ha, Young-Sun;Park, Yong-Kyung
    • Journal of the Korea Convergence Society
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    • v.11 no.11
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    • pp.393-403
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    • 2020
  • This study was aimed to investigate the factors influencing particulate matter behavior of particulate matter knowledge, particulate matter attitude among adolescents. A descriptive study design was used. Participants were 218 high school students in D city. The data were collected from May 13 to 24 2019. Collected data were analyzed by t-test, one-way ANOVA, Pearson's correlation coefficient, multiple regression using SPSS WIN 18.0 program. Results: The influential factor for particulate matter behavior was particulate matter attitude (β=0.52, p<.001). It was found that particulate matter education experience (β=0.08, p=.157), academic background of father (β=0.08, p=.288), academic background of mother (β=0.05, p=.463), particulate matter knowledge (β=-0.05, p=.415), residence with (β=-0.09, p=.126), school record (β=-0.02, p=.710) had no significant effect on teacher efficacy. In order to develop a program to increase the particulate matter behavior for youth, it is necessary to prepare a plan to improve the attitude of particulate matter.