9 research outputs found

    Seoul e-Government

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    Smart cities Seoul

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    ์šฐ๋ฆฌ๋‚˜๋ผ ์ฃผ์š” ๋Œ€๋„์‹œ(์„œ์šธ, ๋Œ€์ „, ๊ด‘์ฃผ, ์šธ์‚ฐ)์˜ PM2.5 ๊ตฌ์„ฑ์„ฑ๋ถ„ ๋ฐ ์˜ค์—ผ์› ๊ธฐ์—ฌ๋„์— ์˜ํ•œ ๊ฑด๊ฐ•์˜ํ–ฅ ๋ถ„์„

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    ํ•™์œ„๋…ผ๋ฌธ(๋ฐ•์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต๋Œ€ํ•™์› : ๋ณด๊ฑด๋Œ€ํ•™์› ํ™˜๊ฒฝ๋ณด๊ฑดํ•™๊ณผ, 2023. 2. ์ด์Šน๋ฌต.PM2.5์— ๋Œ€ํ•œ ๋…ธ์ถœ์€ ์ „ ์„ธ๊ณ„์ ์œผ๋กœ ์‚ฌ๋žŒ์˜ ๊ฑด๊ฐ•์— ์‹ฌ๊ฐํ•œ ์œ„ํ˜‘์ด ๋˜๊ณ  ์žˆ์œผ๋ฉฐ, ์‚ฌ๋ง๊ณผ ์žฅ์• ์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ๋Œ€ํ‘œ์ ์ธ ์œ„ํ—˜ ์ธ์ž(risk factor)์ด๋‹ค. ์šฐ๋ฆฌ๋‚˜๋ผ ์—ญ์‹œ ๊ธ‰์†ํ•œ ์‚ฐ์—…ํ™” ๋ฐ ๋„์‹œํ™”์— ๋”ฐ๋ผ PM2.5์— ์˜ํ•œ ์‹ฌ๊ฐํ•œ ๋Œ€๊ธฐ์งˆ ๋ฌธ์ œ๋ฅผ ๊ฒช๊ณ  ์žˆ์œผ๋ฉฐ, ๋Œ€๊ธฐ ์ค‘ PM2.5 ๋†๋„ ์ €๊ฐ์„ ์œ„ํ•ด ๋‹ค์–‘ํ•œ ์ •์ฑ…์ด ์ถ”์ง„๋˜๊ณ  ์žˆ๋‹ค. PM2.5๋Š” ๋ถˆ๊ท ์ผ ํ˜ผํ•ฉ๋ฌผ(heterogeneous mixture)๋กœ ํ™ฉ์‚ฐ์—ผ, ์งˆ์‚ฐ์—ผ, ์œ ๊ธฐํƒ„์†Œ, ์›์†Œํƒ„์†Œ ๋ฐ ๋น„์†Œ, ํฌ๋กฌ๊ณผ ๊ฐ™์€ ์ค‘๊ธˆ์† ๋“ฑ์˜ ๋งค์šฐ ๋‹ค์–‘ํ•œ ํ™”ํ•™๋ฌผ์งˆ๋กœ ๊ตฌ์„ฑ๋˜๋Š”๋ฐ, PM2.5์˜ ํ™”ํ•™์  ์กฐ์„ฑ์€ ์ง€์—ญ์— ๋”ฐ๋ผ ๋‹ค๋ฅธ (region- specific) ํŠน์„ฑ์ด ์žˆ๋‹ค. ์ด๋Š” PM2.5๊ฐ€ ๋ฐฐ์ถœ์›์—์„œ์˜ ์ง์ ‘ ๋ฐฐ์ถœ(primary emission) ๋ณด๋‹ค ํ™ฉ์‚ฐํ™”๋ฌผ(SOx), ์งˆ์†Œ์‚ฐํ™”๋ฌผ(NOx), ํœ˜๋ฐœ์„ฑ ์œ ๊ธฐํ™”ํ•ฉ๋ฌผ(VOCs) ๋“ฑ ๊ฐ€์Šค์ƒ ์ „๊ตฌ๋ฌผ์งˆ์˜ ๋Œ€๊ธฐ ์ค‘ ํ™”ํ•™๋ฐ˜์‘์— ์˜ํ•œ 2์ฐจ ์ƒ์„ฑ(secondary formation)์„ ํ†ตํ•ด ์ฃผ๋กœ ๋Œ€๊ธฐ ์ค‘์— ์กด์žฌํ•˜๊ธฐ ๋•Œ๋ฌธ์ด๋‹ค. ์ฆ‰, ๋Œ€์ƒ์ง€์—ญ ๋ฐ ์ธ๊ทผ์ง€์—ญ์˜ ์ „๊ตฌ๋ฌผ์งˆ ๋ฐฐ์ถœ๋Ÿ‰, ๋Œ€๊ธฐ ์ค‘ ์ „๊ตฌ๋ฌผ์งˆ์˜ ๋†๋„, ๊ธฐ์ƒ์กฐ๊ฑด, ์˜ค์—ผ์›์˜ ์œ„์น˜, ์ง€๋ฆฌ์  ํŠน์„ฑ ๋“ฑ ๋งค์šฐ ๋‹ค์–‘ํ•œ ์ธ์ž๋“ค์— ์˜ํ•ด PM2.5 ์กฐ์„ฑ์ด ๊ฒฐ์ •๋œ๋‹ค. PM2.5 ํ™”ํ•™์  ์กฐ์„ฑ์€ ๋Œ€์ƒ ์ง€์—ญ์˜ PM2.5์— ์˜ํ–ฅ์„ ๋‚˜ํƒ€๋‚ด๋Š” ์ฃผ์š” ์˜ค์—ผ์›์„ ๊ทœ๋ช…ํ•˜๊ณ , ๊ฐ ์˜ค์—ผ์›์˜ ๊ธฐ์—ฌ๋„๋ฅผ ์‚ฐ์ •ํ•จ์— ์žˆ์–ด ๋งค์šฐ ์ค‘์š”ํ•œ ์š”์†Œ์ด๋‹ค. ๋˜ํ•œ, ํ™”ํ•™์  ์กฐ์„ฑ์€ ๊ถ๊ทน์ ์œผ๋กœ PM2.5 ๋…ธ์ถœ์ด ์ธ์ฒด์— ์œ ๋ฐœํ•˜๋Š” ๊ฑด๊ฐ•์˜ํ–ฅ๊ณผ๋„ ๋ฐ€์ ‘ํ•˜๊ฒŒ ์—ฐ๊ด€๋˜์–ด ์žˆ๊ธฐ ๋•Œ๋ฌธ์— ๋ณด๊ฑดํ•™์  ์ธก๋ฉด์—์„œ์˜ PM2.5 ๊ด€๋ฆฌ๋ฅผ ์œ„ํ•ด์„œ๋Š” ๋Œ€์ƒ ์ง€์—ญ์—์„œ์˜ PM2.5์˜ ๊ตฌ์„ฑ์„ฑ๋ถ„ ๋ฐ ์˜ค์—ผ์›์— ์˜ํ•œ ๊ฑด๊ฐ•์˜ํ–ฅ์„ ์ •๋Ÿ‰์ ์œผ๋กœ ์‚ฐ์ •ํ•  ํ•„์š”๊ฐ€ ์žˆ๋‹ค.๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š”๋Œ€๊ธฐ๊ด€๋ฆฌ๊ถŒ์—ญ์˜ ๋Œ€๊ธฐํ™˜๊ฒฝ๊ฐœ์„ ์— ๊ด€ํ•œ ํŠน๋ณ„๋ฒ•์— ๋”ฐ๋ผ ์ง€์ •๋œ 4๊ฐœ ๋Œ€๊ธฐ๊ด€๋ฆฌ๊ถŒ์—ญ์„ ๋Œ€ํ‘œํ•˜๋Š” ๋Œ€๋„์‹œ์ธ ์„œ์šธ, ๋Œ€์ „, ๊ด‘์ฃผ, ์šธ์‚ฐ์—์„œ 2014๋…„๋ถ€ํ„ฐ 5๋…„๊ฐ„ ๋ถ„์„๋œ ์ผ๋ณ„ PM2.5 ์งˆ๋Ÿ‰๋†๋„ ๋ฐ ๊ตฌ์„ฑ์„ฑ๋ถ„ ๋†๋„๋ฅผ ์ด์šฉํ•˜์—ฌ ๋„์‹œ๋ณ„ ์˜ค์—ผ์›์„ ๊ทœ๋ช…ํ•˜๊ณ , ๊ฐ ์˜ค์—ผ์›์˜ ๊ธฐ์—ฌ๋„๋ฅผ ์‚ฐ์ •ํ•˜์˜€๋‹ค. ๋˜ํ•œ, ๊ฐ™์€ ๊ธฐ๊ฐ„ PM2.5 ๊ตฌ์„ฑ์„ฑ๋ถ„ ๋†๋„ ๋ฐ ์˜ค์—ผ์› ๊ธฐ์—ฌ๋„์™€ ์ผ๋ณ„ ์‚ฌ๋ง์ž ์ˆ˜ ๋ฐ ์‘๊ธ‰์‹ค ๋‚ด์›ํ™˜์ž ์ˆ˜์˜ ์—ฐ๊ด€์„ฑ์„ ๋ถ„์„ํ•จ์œผ๋กœ์จ PM2.5 ๋…ธ์ถœ์ด ์‚ฌ๋ง๊ณผ ์งˆ๋ณ‘์— ๋ฏธ์น˜๋Š” ๊ฑด๊ฐ•์˜ํ–ฅ์„ ์‚ฐ์ •ํ•˜์—ฌ ๊ฑด๊ฐ•์˜ํ–ฅ ์ธก๋ฉด์—์„œ ๋„์‹œ๋ณ„ ์˜ค์—ผ์› ๊ด€๋ฆฌ์˜ ์šฐ์„ ์ˆœ์œ„ ์„ ์ •์„ ์œ„ํ•œ ๊ธฐ์ดˆ์ž๋ฃŒ๋ฅผ ๊ตฌ์ถ•ํ•˜์˜€๋‹ค.PMF ๋ชจ๋ธ๋ง์„ ํ†ตํ•ด ํ™•์ธ๋œ ์˜ค์—ผ์›์€ ์„œ์šธ, ๊ด‘์ฃผ, ์šธ์‚ฐ์˜ ๊ฒฝ์šฐ ์ด 10๊ฐœ๋กœ ์ด์ฐจ ์งˆ์‚ฐ์—ผ, ์ด์ฐจ ํ™ฉ์‚ฐ์—ผ, ์ž๋™์ฐจ, ์ƒ๋ฌผ์„ฑ ์—ฐ์†Œ, ์†Œ๊ฐ์‹œ์„ค, ํ† ์–‘, ์‚ฐ์—…, ์„ํƒ„ ์—ฐ์†Œ, ์„์œ  ์—ฐ์†Œ, ๋…ธํ›„ ํ•ด์—ผ์ž…์ž ์˜ค์—ผ์›์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋Œ€์ „์˜ ๊ฒฝ์šฐ ์ง€๋ฆฌ์  ์œ„์น˜๋กœ ์ธํ•ด ๋…ธํ›„ ํ•ด์—ผ์ž…์ž ์˜ค์—ผ์›์€ ํ™•์ธ๋˜์ง€ ์•Š์•˜๊ณ , ๋‚˜๋จธ์ง€ 9๊ฐœ ์˜ค์—ผ์›์€ ๋‹ค๋ฅธ ๋„์‹œ๋“ค๊ณผ ๋™์ผํ•œ ๊ฒƒ์œผ๋กœ ํ™•์ธ๋˜์—ˆ๋‹ค. ์˜ค์—ผ์› ๊ธฐ์—ฌ๋„์— ์žˆ์–ด์„œ๋Š” 4๊ฐœ ๋„์‹œ ๋ชจ๋‘์—์„œ ๊ณตํ†ต์ ์œผ๋กœ ์ด์ฐจ ์งˆ์‚ฐ์—ผ, ์ด์ฐจ ํ™ฉ์‚ฐ์—ผ ๋ฐ ์ž๋™์ฐจ ์˜ค์—ผ์›์— ์˜ํ•œ ๊ธฐ์—ฌ๋„๊ฐ€ 60% ์ด์ƒ์œผ๋กœ ๋‚˜ํƒ€๋‚˜ PM2.5๊ฐ€ ์ฃผ๋กœ ๋Œ€๊ธฐ ์ค‘ ์ด์ฐจ์ƒ์„ฑ ๋ฐ ์ž๋™์ฐจ์— ๊ธฐ์ธํ•˜๋Š” ๊ฒƒ์„ ํ™•์ธํ•˜์˜€๋‹ค. ํ•˜์ง€๋งŒ ๋‹ค๋ฅธ ์˜ค์—ผ์›์˜ ๊ธฐ์—ฌ๋„๋Š” ๋„์‹œ๋ณ„ ํŠน์„ฑ์— ๋”ฐ๋ผ ๋‹ค๋ฅด๊ฒŒ ๋‚˜ํƒ€๋‚ฌ๋Š”๋ฐ ํŠนํžˆ, ๋Œ€๊ทœ๋ชจ ํ™”๋ ฅ๋ฐœ์ „์†Œ์— ์ธ์ ‘ํ•œ ์„œ์šธ, ๊ด‘์ฃผ์˜ ๊ฒฝ์šฐ ์„ํƒ„ ์—ฐ์†Œ ์˜ค์—ผ์›์˜ ๊ธฐ์—ฌ๋„๊ฐ€ 10% ๋‚ด์™ธ๋กœ ๋†’๊ฒŒ ๋‚˜ํƒ€๋‚˜ ํ•ด๋‹น ๋„์‹œ์—์„œ ๋„ค๋ฒˆ์งธ๋กœ ๋†’์€ ๊ธฐ์—ฌ๋„๋ฅผ ๋ณด์˜€๋‹ค. ๋ฐ˜๋ฉด, ๊ฐ€์žฅ ๋™์ชฝ์— ์œ„์น˜ํ•œ ์šธ์‚ฐ์—์„œ๋Š” ์„ํƒ„ ์—ฐ์†Œ ์˜ค์—ผ์›์˜ ๊ธฐ์—ฌ์œจ์€ ์ƒ๋Œ€์ ์œผ๋กœ ๋‚ฎ์•˜์œผ๋‚˜ ๋Œ€๊ทœ๋ชจ ์ค‘ํ™”ํ•™ ๊ณต์—… ๋„์‹œ์˜ ํŠน์„ฑ์ด ๋ฐ˜์˜๋˜์–ด ์‚ฐ์—… ์˜ค์—ผ์›์˜ ๊ธฐ์—ฌ๋„๊ฐ€ ๋‹ค๋ฅธ ๋„์‹œ์— ๋น„ํ•ด ์›”๋“ฑํžˆ ๋†’๊ฒŒ ๋‚˜ํƒ€๋‚ฌ๋‹ค.PM2.5 ๊ตฌ์„ฑ์„ฑ๋ถ„ ๋ฐ ์˜ค์—ผ์› ๊ธฐ์—ฌ๋„์™€ ๊ฑด๊ฐ•์˜ํ–ฅ์˜ ์—ฐ๊ด€์„ฑ์„ ๋ถ„์„ํ•œ ๊ฒฐ๊ณผ๋Š” PM2.5 ๊ตฌ์„ฑ์„ฑ๋ถ„ ๋†๋„ ๋ฐ ์˜ค์—ผ์› ๊ธฐ์—ฌ๋„์˜ ๋‹จ์œ„(IQR) ์ฆ๊ฐ€๊ฐ€ ์ „๋ฐ˜์ ์œผ๋กœ ์‚ฌ๋ง ๋ฐ ์งˆ๋ณ‘์˜ ์ƒ๋Œ€์œ„ํ—˜๋„ ์ฆ๊ฐ€๋กœ ์ด์–ด์ง์„ ๋ณด์—ฌ์ฃผ์—ˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ๊ตฌ์„ฑ์„ฑ๋ถ„ ๋ฐ ์˜ค์—ผ์› ๊ธฐ์—ฌ๋„์™€ ๊ฑด๊ฐ•์˜ํ–ฅ ์‚ฌ์ด ์—ฐ๊ด€์„ฑ์˜ ์œ ์˜์„ฑ ๋ฐ ์ •๋„๋Š” ์ง€์—ญ๋งˆ๋‹ค ๋‹ค๋ฅด๊ฒŒ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋จผ์ € ๊ตฌ์„ฑ์„ฑ๋ถ„์ด ์‚ฌ๋ง์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์˜ ๊ฒฝ์šฐ ์„œ์šธ, ๋Œ€์ „์—์„œ๋Š” ์ฃผ๋กœ ์‹ฌํ˜ˆ๊ด€๊ณ„ ์‚ฌ๋ง์—์„œ ์ค‘๊ธˆ์†, ์œ ๊ธฐํƒ„์†Œ ๋“ฑ์˜ ๊ตฌ์„ฑ์„ฑ๋ถ„๊ณผ์˜ ์œ ์˜ํ•œ ์—ฐ๊ด€์„ฑ์ด ํ™•์ธ๋˜์—ˆ์œผ๋‚˜ ๊ด‘์ฃผ์—์„œ๋Š” ์ฃผ๋กœ ํ˜ธํก๊ธฐ๊ณ„ ์‚ฌ๋ง์˜ ์ƒ๋Œ€์œ„ํ—˜๋„๊ฐ€ ์ค‘๊ธˆ์†, ์ด์˜จ์„ฑ๋ถ„๊ณผ ๋ฐ€์ ‘ํ•œ ๊ด€๊ณ„๊ฐ€ ์žˆ๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์˜ค์—ผ์›-์‚ฌ๋ง์˜ ์—ฐ๊ด€์„ฑ์— ์žˆ์–ด์„œ๋Š” ์‚ฌ๋ง์˜ ์ƒ๋Œ€์œ„ํ—˜๋„๋ฅผ ์ฆ๊ฐ€์‹œํ‚จ ๊ตฌ์„ฑ์„ฑ๋ถ„๊ณผ ๋ฐ€์ ‘ํ•œ ์˜ค์—ผ์›์˜ ๊ธฐ์—ฌ๋„ ์ฆ๊ฐ€๊ฐ€ ์‚ฌ๋ง๊ณผ ๋ฐ€์ ‘ํ•œ ๊ฒƒ์œผ๋กœ ํ™•์ธ๋˜์—ˆ๋‹ค. ๋”ฐ๋ผ์„œ PM2.5 ๋…ธ์ถœ๋กœ ์ธํ•œ ์‚ฌ๋ง ์˜ํ–ฅ์„ ์ค„์ด๊ธฐ ์œ„ํ•ด์„œ๋Š” ๋„์‹œ๋ณ„ ๊ฑด๊ฐ•์˜ํ–ฅ ๋ถ„์„์— ๋”ฐ๋ผ ์˜ค์—ผ์› ๊ด€๋ฆฌ์˜ ์šฐ์„ ์ˆœ์œ„๋ฅผ ๋งˆ๋ จํ•˜๊ณ , ๊ฐ ์˜ค์—ผ์›๋ณ„ ๋ฐฐ์ถœ๋Ÿ‰ ์ €๊ฐ์„ ์œ„ํ•œ ์ •์ฑ…์ด ์ˆ˜๋ฐ˜๋  ํ•„์š”์„ฑ์ด ์žˆ๋‹ค. ์‚ฌ๋ง๊ณผ ๋‹ค๋ฅด๊ฒŒ PM2.5 ๋…ธ์ถœ์— ๋”ฐ๋ฅธ ์งˆ๋ณ‘ ์˜ํ–ฅ์€ ์ฃผ๋กœ ํ˜ธํก๊ธฐ๊ณ„ ์งˆ๋ณ‘์„ ์ค‘์‹ฌ์œผ๋กœ ๊ตฌ์„ฑ์„ฑ๋ถ„ ๋ฐ ์˜ค์—ผ์› ๊ธฐ์—ฌ๋„์™€ ์œ ์˜ํ•œ ์—ฐ๊ด€์„ฑ์ด ํ™•์ธ๋˜์—ˆ๋‹ค. ์ด ๊ฐ™์€ ๊ฒฐ๊ณผ๋Š” PM2.5์˜ ์ฃผ ๋…ธ์ถœ๊ฒฝ๋กœ๊ฐ€ ํ˜ธํก(inhalation)์ด๊ณ , PM2.5๊ฐ€ ๋งค์šฐ ๋ฏธ์„ธํ•œ ํฌ๊ธฐ๋กœ ์ธํ•ด ๋งค์งˆ์ธ ๊ณต๊ธฐ์™€ ์œ ์‚ฌํ•˜๊ฒŒ ๊ฑฐ๋™ํ•จ์— ๋”ฐ๋ผ ์ƒ๊ธฐ๋„ ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ํ•˜๊ธฐ๋„์ธ ๊ธฐ๊ด€, ๊ธฐ๊ด€์ง€, ํํฌ ๋“ฑ์—๋„ ์‰ฝ๊ฒŒ ๋„๋‹ฌํ•œ ํ›„ ์—ผ์ฆ ๋ฐ˜์‘, ์‚ฐํ™”์ŠคํŠธ๋ ˆ์Šค ๋“ฑ์˜ ๋ฉ”์ปค๋‹ˆ์ฆ˜์„ ํ†ตํ•ด ํ˜ธํก๊ธฐ๊ณ„์— ๊ธ‰์„ฑ ์˜ํ–ฅ์„ ๋‚˜ํƒ€๋‚ด๊ธฐ ๋•Œ๋ฌธ์œผ๋กœ ํŒ๋‹จ๋œ๋‹ค. ์ƒ๊ธฐ ๋ฉ”์ปค๋‹ˆ์ฆ˜์— ์˜ํ•ด ํ˜ธํก๊ธฐ๊ณ„ ๊ธฐ๊ด€์—์„œ ์ƒ์„ฑ๋œ ์—ผ์ฆ์„ฑ ์‚ฌ์ดํ† ์นด์ธ, ํ™œ์„ฑ์‚ฐ์†Œ์ข… ๋“ฑ์€ ๋‹ค์‹œ ์ „์‹ ์ˆœํ™˜์„ ํ†ตํ•ด ์‹ฌํ˜ˆ๊ด€๊ณ„์— ๋„๋‹ฌํ•ด ์งˆ๋ณ‘์„ ์œ ๋ฐœํ•  ์ˆ˜ ์žˆ๊ณ , ๊ถ๊ทน์ ์œผ๋กœ ์‚ฌ๋ง์˜ ์œ„ํ—˜๋„๋ฅผ ์ฆ๊ฐ€์‹œํ‚ฌ ์ˆ˜ ์žˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ์˜ ๊ฒฐ๊ณผ๋Š” ๋Œ€๊ธฐ ์ค‘ ์งˆ๋Ÿ‰๋†๋„ ์ €๊ฐ์— ์ดˆ์ ์ด ๋งž์ถ”์–ด์ ธ ์žˆ๋Š” ํ˜„์žฌ์˜ PM2.5 ๊ด€๋ฆฌ์ •์ฑ…์ด ์ง€์—ญ๋ณ„ ์กฐ์„ฑ, ์˜ค์—ผ์› ๊ธฐ์—ฌ๋„ ๋ฐ ๊ฑด๊ฐ•์˜ํ–ฅ ํŠน์„ฑ์„ ๊ณ ๋ คํ•œ ์ •์ฑ…์œผ๋กœ ํ™•๋Œ€๋  ํ•„์š”์„ฑ์ด ์žˆ์Œ์„ ์‹œ์‚ฌํ•œ๋‹ค. ์ฆ‰, ํ™˜๊ฒฝ ์˜ค์—ผ๋ฌผ์งˆ ๊ด€๋ฆฌ์˜ ๊ถ๊ทน์ ์ธ ๋ชฉ์ ์€ ์˜ค์—ผ๋ฌผ์งˆ์— ๋Œ€ํ•œ ๋…ธ์ถœ์ด ์ธ์ฒด์— ์œ ๋ฐœํ•˜๋Š” ๋ถ€์ •์ ์ธ ์˜ํ–ฅ์„ ์ตœ์†Œํ™”ํ•จ์œผ๋กœ์จ ๊ตญ๋ฏผ์˜ ๊ฑด๊ฐ•๊ณผ ์•ˆ๋…•์„ ์œ ์ง€ํ•˜๋Š” ๊ฒƒ์ด๊ธฐ ๋•Œ๋ฌธ์— ์ง€์—ญ ํŠน์ด์ ์ธ PM2.5์˜ ์กฐ์„ฑ๊ณผ ๊ทธ๋กœ ์ธํ•ด ๋‹ค๋ฅด๊ฒŒ ๋‚˜ํƒ€๋‚˜๋Š” ๊ฑด๊ฐ•์˜ํ–ฅ์„ ํ‰๊ฐ€ํ•จ์œผ๋กœ์จ ์ตœ์ ์˜ ๋Œ€๊ธฐ๊ด€๋ฆฌ ์ •์ฑ… ๋ฐ ๊ณ„ํš ๋“ฑ์„ ์ˆ˜๋ฆฝํ•˜์—ฌ ์‹คํ–‰ํ•  ํ•„์š”๊ฐ€ ์žˆ๋‹ค.Exposure to fine particulate matter (PM2.5) has been revealed as severe threats to human health and one of the major risk factors driving both death and disability. South Korea is one of the countries have been suffering from serious air pollution, especially problems related to PM2.5. PM2.5 is a heterogeneous mixture of numerous components such as sulfate, nitrate, organic carbon, elemental carbon, arsenic, lead. The chemical compositional characteristics are highly region-specific because most of the PM2.5 mass concentration is attributable to secondary particles, formed by the reactions among gaseous precursors in the atmosphere. In general, the factors affecting secondary formation are meteorological conditions, source locations, geographical features of the region well as the ambient concentration of gaseous pollutants including sulfur oxides, nitrogen oxides. Therefore, understanding the chemical composition and source profiles in the region of interest is crucial for controlling PM2.5. Moreover, the assessment of health risk caused by PM2.5 exposure needs to conducted to mitigate the adverse health effects from a public health perspective. In this study, the associations of cause-specific mortality and morbidity with both PM2.5 constituents and source contributions were investigated in four metropolitan cities, namely Seoul, Daejeon, Gwangju, and Ulsan. Each city represents the air control zone in the country designated by a special act as of April 2020 to mitigate and control the air pollution on a regional basis. For the analyses, generalized linear model (GLM) was applied to the data including daily health outcomes, the average concentrations of PM2.5 constituents and the results of PMF modelling. The findings show that short-term exposure to PM2.5 constituents largely increased the relative risk (RR) of mortality and morbidity. However, the significance and strength of associations were different among the cities. In addition, source contributions also increased the RR of mortality and morbidity with different strength. In summary, the results of the study imply the importance of approaches based on compositional characteristics and health risk in making proper policies in the region of interest to mitigate the negative health effects of PM2.5 exposure more efficiently.Chapter 1. Background 1 1. Introduction 2 2. Potential mechanisms of health effects of PM2.5 exposure 4 2.1 Respiratory system 4 2.2 Cardiovascular system 6 3. Objectives of the study 7 References 10 Chapter 2. Compositional characteristics of ambient PM2.5 in Seoul, Daejeon, Gwangju, and Ulsan during 2014โ€“2018 16 Abstract 17 1. Introduction 18 2. Materials and methods 19 2.1 Study area and period 19 2.2 Data 22 3. Results and discussion 23 3.1 PM2.5 mass and gaseous precursors 23 3.2 PM2.5 chemical constituents 31 4. Conclusions 50 References 52 Chapter 3. Source apportionment of PM2.5 in Seoul, Daejeon, Gwangju, and Ulsan during 2014-2018 56 Abstract 57 1. Introduction 58 2. Materials and methods 59 2.1 Input data 59 2.2 PMF modelling 59 2.3 Conditional probability function 61 2.4 Potential source contribution function 62 3. Results and discussion 64 3.1 Source apportionment 64 3.2 Seasonal source contributions 78 3.3 Possible source locations 86 4. Conclusions 108 References 110 Chapter 4. Associations of PM2.5 chemical constituents and source contributions with mortality 122 Abstract 123 1. Introduction 124 2. Materials and methods 125 2.1 Data 125 2.2 Statistical model 126 3. Results and discussion 129 4. Conclusions 150 References 152 Chapter 5. Associations of PM2.5 chemical constituents and source contributions with morbidity 158 Abstract 159 1. Introduction 160 2. Materials and methods 161 2.1 Data 161 2.2 Statistical model 163 3. Results and discussion 165 4. Conclusions 181 References 183 Chapter 6. Summary, significance, and conclusions 192 1. Summary 193 1.1 Compositional characteristics and source apportionment of ambient PM2.5 in Seoul, Daejeon, Gwangju, and Ulsan during 2014-2018 193 1.2 Associations of PM2.5 chemical constituents and source contributions with mortality 195 1.3 Associations of PM2.5 chemical constituents and source contributions with morbidity 196 2. Significance 197 2.1 Region-specific characteristics of the health effects of PM2.5 exposure on mortality 197 2.2 Impacts of government policy interventions on PM2.5 composition, source contribution, and health effects 198 3. Conclusions 207 References 210 ๊ตญ๋ฌธ์ดˆ๋ก 213๋ฐ•

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    In this work, we describe the first records of head-wobble behaviour for Tachymenis peruviana and T. chilensis coronellina. We analyse this behaviour (occurrence, frequency) and accompanying displays in both species. Of particular note is that T. ch. coronellina exhibited more frequent head-wobbling than T. peruviana and, in both records, wind activity was observed during this antipredatory behaviour

    Parasocial Interactions in Dating-Simulations: Staging of Intimacy in Otome-Games

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    Unter Otome-Games werden Dating-Simulationen verstanden, die es den Spielerinnen und Spielern ermรถglichen, eine Liebesgeschichte mit einer fiktiven Figur zu erleben. Auf der Annahme basierend, dass diese Spiele potenziell die Illusion einer sozialen Wechselbeziehung vermitteln, mรถchte der Beitrag den Gegenstand mit Hilfe des Begriffs ยซparasoziale Interaktionยป (beruhend auf Horton und Wohl 1956) rahmen. Es wird der Frage nachgegangen, wie Otome-Games ihre Protagonist:innen inszenieren und damit womรถglich parasoziale Interaktionen offerieren kรถnnen. Dabei soll insbesondere die Struktur der Spiele mit Hilfe der neoformalistischen Computerspielanalyse (vgl. Fromme und Kรถnitz 2014) in den Blick genommen werden. Innerhalb des interaktiven Mediums manifestieren sich vor allem die Option, die Adressat:innen direkt mit dem Namen anzusprechen und somit in das Spielgeschehen zu involvieren. Auch die stets prรคsente Inszenierung der medialen Charaktere (bspw. stetiger Augenkontakt, vermรถgen mediale Kommunikation in Form von Chats und Anrufen zu simulieren) bietet neue Mรถglichkeiten der parasozialen Interaktion. Trotz dieser Optionen bleibt die Interaktion limitiert und einseitig, da die Figuren nicht auf die Belange der Nutzer:innen eingehen kรถnnen.Otome games are dating simulations that enable players to experience a love story with a fictional character. Based on the assumption that the games potentially convey the illusion of a social interrelationship, the article would like to deepen the understanding of the subject with the help of the term parasocial interaction (based on Horton and Wohl 1956). The question of how otome games can stage their characters and thus potentially offer parasocial interactions will be investigated. In particular, the structure of the games will be examined with the help of the neo-formalist computer game analysis (see Fromme and Kรถnitz 2014). Above all, the interactive medium manifests itself in the options of addressing the players directly by name and thus involving them in the game. The constantly showing of the main characters (e.g. constant eye contact, able to simulate media communication in the form of chats and calls) also offers new possibilities for parasocial interactions. Despite these options, the interaction remains limited and one-sided, as the characters cannot respond to the needs of the users

    ฮ— ฮญฮฝฮฝฮฟฮนฮฑ ฯ„ฮทฯ‚ ฮญฮพฯ…ฯ€ฮฝฮทฯ‚ ฯ€ฯŒฮปฮทฯ‚

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    ฮฃฮทฮผฮตฮฏฯ‰ฯƒฮท: ฮดฮนฮฑฯ„ฮฏฮธฮตฯ„ฮฑฮน ฯƒฯ…ฮผฯ€ฮปฮทฯฯ‰ฮผฮฑฯ„ฮนฮบฯŒ ฯ…ฮปฮนฮบฯŒ ฯƒฮต ฮพฮตฯ‡ฯ‰ฯฮนฯƒฯ„ฯŒ ฮฑฯฯ‡ฮตฮฏฮฟ

    The e-Government Development Discourse

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    research agenda for e-Government. When e-Government was first conceived, it was designed upon basic technologies where the emphasis was only on the simple display of government information for citizens to read. Nowadays, e-Government design comprises many complicated modules such as upload and download consoles, two-way interaction consoles between citizens and government agents, integrated government business processes presenting the whole of government, and it does not depend solely on technology. The complexity of e-Government has now evolved to include political, cultural, economic, social and technical dimensions. Bringing all these difficult aspects together is so complicated that it needs carefully planned strategies informed by local contextual characteristics. Rather than giving formulaic definitions and conceptual standpoints on many aspects of e-Government, as is the case in many e-Government publications, this book will explore the frontiers of global knowledge value chains by discussing current and future dimensions of e-Government. For example, the book discusses the concept of data governance by exploring how actual opening up of government data can be achieved, especially in a developing world context. Further, the book posits that opening government data should be followed by the opening up of government business processes in order to peddle the concept of accountability and responsiveness. Much text on data governance has concentrated on articulating the basic definitions surrounding this concept. Another very important topic explored in this book is regarding how the concept of decolonisation can be extended to e-Government by providing practical examples as to how researchers in the developing world can contribute to the advancement of e-Government as a scientific field of enquiry and guide its implementation, thereof. Decolonisation is advocated for in e-Government research so that there is a balance in the inclusion of the Afrocentric knowledge into e-Government advancement other than over-reliance on the Euro-, Asia- and America-centric knowledge value chains (Mbembe 2015). As e-Government is a very expensive undertaking, the issue of funding has excluded African countries and a majority of the developing world from implementing e-Government. Despite funding being a critical cornerstone of e-Government development, there is a dearth of information on this topic. Therefore, this book provides a chapter which discusses traditional and innovative ways of funding e-Government design and implementation which can go a long way in improving e-Government penetration into the developing world. Further, the book explores how intelligent e-Government applications can be designed, especially in resource-constrained countries. A couple of emerging technology innovations such as fog computing and intelligent information technology are explored within the realm of e-Government design

    The e-Government Development Discourse

    Get PDF
    research agenda for e-Government. When e-Government was first conceived, it was designed upon basic technologies where the emphasis was only on the simple display of government information for citizens to read. Nowadays, e-Government design comprises many complicated modules such as upload and download consoles, two-way interaction consoles between citizens and government agents, integrated government business processes presenting the whole of government, and it does not depend solely on technology. The complexity of e-Government has now evolved to include political, cultural, economic, social and technical dimensions. Bringing all these difficult aspects together is so complicated that it needs carefully planned strategies informed by local contextual characteristics. Rather than giving formulaic definitions and conceptual standpoints on many aspects of e-Government, as is the case in many e-Government publications, this book will explore the frontiers of global knowledge value chains by discussing current and future dimensions of e-Government. For example, the book discusses the concept of data governance by exploring how actual opening up of government data can be achieved, especially in a developing world context. Further, the book posits that opening government data should be followed by the opening up of government business processes in order to peddle the concept of accountability and responsiveness. Much text on data governance has concentrated on articulating the basic definitions surrounding this concept. Another very important topic explored in this book is regarding how the concept of decolonisation can be extended to e-Government by providing practical examples as to how researchers in the developing world can contribute to the advancement of e-Government as a scientific field of enquiry and guide its implementation, thereof. Decolonisation is advocated for in e-Government research so that there is a balance in the inclusion of the Afrocentric knowledge into e-Government advancement other than over-reliance on the Euro-, Asia- and America-centric knowledge value chains (Mbembe 2015). As e-Government is a very expensive undertaking, the issue of funding has excluded African countries and a majority of the developing world from implementing e-Government. Despite funding being a critical cornerstone of e-Government development, there is a dearth of information on this topic. Therefore, this book provides a chapter which discusses traditional and innovative ways of funding e-Government design and implementation which can go a long way in improving e-Government penetration into the developing world. Further, the book explores how intelligent e-Government applications can be designed, especially in resource-constrained countries. A couple of emerging technology innovations such as fog computing and intelligent information technology are explored within the realm of e-Government design
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