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๋Œฟ’ํ•™์›_๋…ผ๋ๅฉ_์„ธ๋ฏธ๋‚˜_๋ฆฌ๋ทฐ_๋ฐœํ‘œ(ํ™”๊ณต,ํ™˜๊ฒฝ,๋Œ€๊ธฐ,AQI)

๋Œฟ’ํ•™์› ์‹œ์ ˆ ์„ธ๋ฏธ๋‚˜ ํ–ˆ๋˜ ๋…ผ๋ๅฉ ๋ฆฌ๋ทฐ ๋ฐœํ‘œ ์ž๋ฃŒ๋“ค์ž…๋‹ˆ๋‹ค. ๋ถ€๋‹ด์Šค๋Ÿฌ์šด ์„ธ๋ฏธ๋‚˜ ์‹œ๊ฐ„๊ณผ ๋ถ€์กฑํ•œ ์‹œ๊ฐ„์— ์ค€๋น„ํ•  ์ˆ˜ ์žˆ๋Š” ๋ฐœํ‘œ ์ž๋ฃŒ๋“ค ์ž…๋‹ˆ๋‹ค. ์•ฝ๊ฐ„๋งŒ ๊ฐ€๊ณตํ•˜์‹œ๋ฉด ๋ฐ”๋กœ ๋ฐœํ‘œ ๊ฐ€๋Šฅํ•œ ์ž๋ฃŒ์ž…๋‹ˆ๋‹ค.
18 ํŽ˜์ด์งฟ’
ํŒŒ์›Œํฌ์่œํŠธ
์ตœ์ดˆ๋“ฑ๋ก์ผ 2011.06.01 ์ตœ์ข…์ ฟ’์ž‘์ผ 2010.11
18P ๋ฏธ๋้ฉ๋ณด๊ธฐ
๋Œฟ’ํ•™์›_๋…ผ๋ๅฉ_์„ธ๋ฏธ๋‚˜_๋ฆฌ๋ทฐ_๋ฐœํ‘œ(ํ™”๊ณต,ํ™˜๊ฒฝ,๋Œ€๊ธฐ,AQI)
  • ๋ฏธ๋้ฉ๋ณด๊ธฐ

    ์†Œ๊ฐœ

    ๋Œฟ’ํ•™์› ์‹œ์ ˆ ์„ธ๋ฏธ๋‚˜ ํ–ˆ๋˜ ๋…ผ๋ๅฉ ๋ฆฌ๋ทฐ ๋ฐœํ‘œ ์ž๋ฃŒ๋“ค์ž…๋‹ˆ๋‹ค. ๋ถ€๋‹ด์Šค๋Ÿฌ์šด ์„ธ๋ฏธ๋‚˜ ์‹œ๊ฐ„๊ณผ ๋ถ€์กฑํ•œ ์‹œ๊ฐ„์— ์ค€๋น„ํ•  ์ˆ˜ ์žˆ๋Š” ๋ฐœํ‘œ ์ž๋ฃŒ๋“ค ์ž…๋‹ˆ๋‹ค. ์•ฝ๊ฐ„๋งŒ ๊ฐ€๊ณตํ•˜์‹œ๋ฉด ๋ฐ”๋กœ ๋ฐœํ‘œ ๊ฐ€๋Šฅํ•œ ์ž๋ฃŒ์ž…๋‹ˆ๋‹ค.

    ๋ชฉ์ฐจ

    Source identification of particulate matter collected at underground subway stations in Seoul, Korea using quantitative single-particle analysis
    1. Introduction
    2. Experimental Section
    3. Results
    4. Conclusion

    Spatial distribution of particulate matter(PM10 and PM2.5) in Seoul Metropolitan Subway stations
    1. Introduction
    2. Materials and Method
    3. Results and discussion
    4. Conclusions

    ๋ณธ๋ๅฉ๋‚ด์šฉ

    Four sets of samples collected in tunnels, at platforms, near ticket of๏ฌces, and outdoors were investigated.
    For the samples collected in tunnels, Fe-containing particles predominate, with relative abundances of 75-91% for the four stations. The amounts of Fe-containing particles decrease as the distance of sampling locations from the tunnel increases.
    In addition, samples collected at the platform in subway stations with platform screen doors (PSDs) that limit air mixing between the platform and the tunnel showed marked decreases in relative abundances of Fe-containing particles, clearly indicating that Fe-containing subway particles are generated in the tunnel.
    PM10 mass concentration levels are the highest in the tunnels, becoming lower as the distance of sampling locations from the tunnel increases. The extent of the decrease in PM10 in stations with PSDs is also larger than that in stations without PSDs.
    The results clearly indicate that Fe-containing particles originating in tunnels predominate in the indoor microenvironment of subway stations, resulting in high indoor PM10 levels, and that PSDs play a signi๏ฌcant role in reducing Fe-containing particles at platforms and near ticket of๏ฌces.

    2. Experimental Section
    In this work, subway particle samples were collected at four different locations of four under- ground subway stations in Seoul, namely the โ€œJegiโ€, โ€œChungmuroโ€, โ€œYangjaeโ€, and โ€œSeouldaeโ€ stations (the four stations are denoted as stations S1-S4, respectively), to identify local sources of PM in the subway.
    In many of Seoulโ€™s subway stations (stations S3 and S4 belong to them), PSDs (full-height barriers between the station ๏ฌ‚oor and ceiling) are installed between the tunnel and the platform, that effectively limit air-mixing between the platform and the tunnel, and climate control within the stations can be improved as heating, ventilation, and air conditioning are more effective when the platform is physically isolated from the tunnel.
    Sampling for single particle analysis was done using a 3-stage Dekati PM10 sampler on Feb. 10-12, Feb. 18-20, Feb. 24-26, and March 3-5, 2009 in stations S1-S4, respectively. For each station, sampling was done for three consecutive days, once a day (see Table 1 for sampling dates and times).
    Daily PM10 mass concentrations for the same sampling days and locations were also measured using high volume PM10 samplers (TE-5000, Tisch Environmental, Inc., Ohio, USA) (Table 1).

    ์ฐธ๊ณ ์ž๋ฃŒ

    ยท ์—†์Œ
  • ์ž๋ฃŒํ›„๊ธฐ

      Ai ๋ฆฌ๋ทฐ
      ์ด ์ž๋ฃŒ๋ฅผ ํ†ตํ•ด ์ƒˆ๋กœ์šด ์ธ์‚ฌ์ดํŠธ์™ฟ’ ์ง€์‹์„ ์–ป์„ ์ˆ˜ ์žˆ์—ˆ์Šต๋‹ˆ๋‹ค. ๋‚ด์šฉ์ด ํ’์„ฑํ•˜์—ฌ ๊ณผ์ œ ์ž‘์„ฑ์— ํฐ ๋„์›€์ด ๋˜์—ˆ์Šต๋‹ˆ๋‹ค. ๊ณ„์†ํ•ด์„œ ์ข‹์€ ์ž๋ฃŒ๋ฅผ ๊ธฐ๋Œ€ํ•ฉ๋‹ˆ๋‹ค! ๊ฐ์‚ฌํ•ฉ๋‹ˆ๋‹ค.
    • ์ž์ฃผ๋ฌป๋Š”์งˆ๋ๅฉ์˜ ๋‹ต๋ณ€์„ ํ™•์ธํ•ด ์ฃผ์„ธ์š”

      ํ•ดํ”ผ์บ ํผ์Šค FAQ ๋”๋ต–๊ธฐ

      ๊ผญ ์•Œ์•„์ฃผ์„ธ์š”

      • ์ž๋ฃŒ์˜ ์ •๋ณด ๋ฐ ๋‚ด์šฉ์˜ ์ง„์‹ค์„ฑ์— ๋Œ€ํ•˜์—ฌ ํ•ดํ”ผ์บ ํผ์Šค๋Š” ๋ณด์ฆํ•˜์ง€ ์•Š์œผ๋ฉฐ, ํ•ด๋‹น ์ •๋ณด ๋ฐ ๊ฒŒ์‹œ๋ฌผ ์ €์ž‘๊ถŒ๊ณผ ๊ธฐํƒ€ ๋ฒ•์  ์ฑ…์ž„์€ ์ž๋ฃŒ ๋“ฑ๋ก์ž์—๊ฒŒ ์žˆ์Šต๋‹ˆ๋‹ค.
        ์ž๋ฃŒ ๋ฐ ๊ฒŒ์‹œ๋ฌผ ๋‚ด์šฉ์˜ ๋ถˆ๋ฒ•์  ์ด์šฉ, ๋ฌด๋‹จ ์ „์žฌโˆ™๋ฐฐํฌ๋Š” ๊ธˆ์ง€๋˜์–ด ์žˆ์Šต๋‹ˆ๋‹ค.
        ์ €์ž‘๊ถŒ์นจํ•ด, ๋ช…์˜ˆํ›ผ์† ๋“ฑ ๋ถ„์Ÿ ์š”์†Œ ๋ฐœ๊ฒฌ ์‹œ ๊ณ ๊ฐ๋น„๋ฐ”์นด์ง€๋…ธ Viva์˜ ์ €์ž‘๊ถŒ์นจํ•ด ์‹ ๊ณ ๋น„๋ฐ”์นด์ง€๋…ธ Viva๋ฅผ ์ด์šฉํ•ด ์ฃผ์‹œ๊ธฐ ๋ฐ”๋ž๋‹ˆ๋‹ค.
      • ํ•ดํ”ผ์บ ํผ์Šค๋Š” ๊ตฌ๋งค์ž์™ฟ’ ํŒ๋งค์ž ๋ชจ๋‘๊ฐ€ ๋งŒ์กฑํ•˜๋Š” ์„œ๋น„์Šค๊ฐ€ ๋˜๋„๋ก ๋…ธ๋ ฅํ•˜๊ณ  ์žˆ์œผ๋ฉฐ, ์•„๋ž˜์˜ 4๊ฐ€์ง€ ์ž๋ฃŒํ™˜๋ถˆ ์กฐ๊ฑด์„ ๊ผญ ํ™•์ธํ•ด์ฃผ์‹œ๊ธฐ ๋ฐ”๋ž๋‹ˆ๋‹ค.
        ํŒŒ์ผ์˜ค๋ฅ˜ ์ค‘๋ณต์ž๋ฃŒ ์ €์ž‘๊ถŒ ์—†์Œ ์„ค๋ช…๊ณผ ์‹ค์ œ ๋‚ด์šฉ ๋ถˆ์ผ์น˜
        ํŒŒ์ผ์˜ ๋‹ค์šด๋กœ๋“œ๊ฐ€ ์ œ๋Œ€๋กœ ๋˜์ง€ ์•Š๊ฑฐ๋‚˜ ํŒŒ์ผํ˜•์‹์— ๋งž๋Š” ํ”„๋กœ๊ทธ๋žจ์œผ๋กœ ์ •์ƒ ์ž‘๋™ํ•˜์ง€ ์•Š๋Š” ๊ฒฝ์šฐ ๋‹ค๋ฅธ ์ž๋ฃŒ์™ฟ’ 70% ์ด์ƒ ๋‚ด์šฉ์ด ์ผ์น˜ํ•˜๋Š” ๊ฒฝ์šฐ (์ค‘๋ณต์ž„์„ ํ™•์ธํ•  ์ˆ˜ ์žˆ๋Š” ๊ทผ๊ฑฐ ํ•„์š”ํ•จ) ์ธํ„ฐ๋„ท์˜ ๋‹ค๋ฅธ ์‚ฌ์ดํŠธ, ์—ฐ๊ตฌ๊ธฐ๊ด€, ํ•™๊ป“, ์„œ์  ๋“ฑ์˜ ์ž๋ฃŒ๋ฅผ ๋„์šฉํ•œ ๊ฒฝ์šฐ ์ž๋ฃŒ์˜ ์„ค๋ช…๊ณผ ์‹ค์ œ ์ž๋ฃŒ์˜ ๋‚ด์šฉ์ด ์ผ์น˜ํ•˜์ง€ ์•Š๋Š” ๊ฒฝ์šฐ
    ๋ฌธ์„œ ์ดˆ์•ˆ์„ ์ƒ์„ฑํ•ด์ฃผ๋Š” EasyAI
    ์•ˆ๋…•ํ•˜์„ธ์š”. ํ•ดํ”ผ์บ ํผ์Šค์˜ ๋ฐฉ๋Œ€ํ•œ ์ž๋ฃŒ ์ค‘์—์„œ ์„ ๋ณ„ํ•˜์—ฌ ๋‹น์‹ ๋งŒ์˜ ์ดˆ์•ˆ์„ ๋งŒ๋“ค์–ด์ฃผ๋Š” EasyAI ์ž…๋‹ˆ๋‹ค.
    ์ €๋Š” ์•„๋ž˜์™ฟ’ ๊ฐ™์ด ์ž‘์—…์„ ๋„์™ฟ’๋“œ๋ฆฝ๋‹ˆ๋‹ค.
    - ์ฃผ์ œ๋งŒ ์ž…๋ ฅํ•˜๋ฉด ๋ชฉ์ฐจ๋ถ€ํ„ฐ ๋ณธ๋ๅฉ๋‚ด์šฉ๊นŒ์ง€ ์ž๋™ ์ƒ์„ฑํ•ด ๋“œ๋ฆฝ๋‹ˆ๋‹ค.
    - ์žฅ๋ฌธ์˜ ์ฝ˜ํ…์ธ ๋ฅผ ์‰ฝ๊ณ  ๋น ๋ฅด๊ฒŒ ์ž‘์„ฑํ•ด ๋“œ๋ฆฝ๋‹ˆ๋‹ค.
    - ์Šคํ† ์–ด์—์„œ ๋ฌด๋ฃŒ ์บ์‹œ๋ฅผ ๊ณ„์ •๋ณ„๋กœ 1ํšŒ ๋ฐœ๊ธ‰ ๋ฐ›์„ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์ง€๊ธˆ ๋ฐ”๋กœ ์ฒดํ—˜ํ•ด ๋ณด์„ธ์š”!
    ์ด๋Ÿฐ ์ฃผ์ œ๋“ค์„ ์ž…๋ ฅํ•ด ๋ณด์„ธ์š”.
    - ์œ ์•„์—๊ฒŒ ์ ํ•ฉํ•œ ๋ฌธํ•™์ž‘ํ’ˆ์˜ ๊ธฐ์ค€๊ณผ ํŠน์„ฑ
    - ํ•œ๊ตญ์ธ์˜ ๊ฐ€์น˜๊ด€ ์ค‘์—์„œ ์ •์‹ ์  ๊ฐ€์น˜๊ด€์„ ์ด๋ฃจ๋Š” ๊ฒƒ๋“ค์„ ๋ฌธํ™”์  ๋ฌธ๋ฒ•์œผ๋กœ ์ •๋ฆฌํ•˜๊ณ , ํ˜„๋Œ€ํ•œ๊ตญ์‚ฌํšŒ์—์„œ ์ผ์–ด๋‚˜๋Š” ์‚ฌ๊ฑด๊ณผ ์‚ฌ๊ณ ๋ฅผ ๋น„๊ตํ•˜์—ฌ ์ž์‹ ์˜ ์˜๊ฒฌ์œผ๋กœ ๊ธฐ์ˆ ํ•˜์„ธ์š”
    - ์ž‘๋ณ„์ธ์‚ฌ ๋…ํ›„๊ฐ
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    ์ฑ—๋ด‡์œผ๋กœ ๊ฐ„ํŽธํ•˜๊ฒŒ ์ƒ๋‹ดํ•ด๋ณด์„ธ์š”.
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    ์•ˆ๋…•ํ•˜์„ธ์š”. ํ•ดํ”ผ์บ ํผ์Šค AI ์ฑ—๋ด‡์ž…๋‹ˆ๋‹ค. ๋ฌด์—‡์ด ๊ถ๊ธˆํ•˜์‹ ๊ฐ€์š”?
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