11 research outputs found

    A Study on Construction and Practice of Cycling Mobility

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    ํ•™์œ„๋…ผ๋ฌธ(๋ฐ•์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต๋Œ€ํ•™์› : ์‚ฌ๋ฒ”๋Œ€ํ•™ ์ฒด์œก๊ต์œก๊ณผ, 2023. 2. ๊ถŒ์ˆœ์šฉ.๋ณธ ์—ฐ๊ตฌ๋Š” ์˜ค๋Š˜๋‚  ํ•œ๊ตญ์‚ฌํšŒ์—์„œ ์ž์ „๊ฑฐ๋ฅผ ํƒ€๋Š” ์‚ฌ๋žŒ๋“ค์„ ์ฃผ๋ชฉํ•˜๊ณ  ๊ทธ ํ˜„์ƒ์„ ๋ถ„์„ํ•˜๊ณ ์ž ํ•˜์˜€๋‹ค. ๊ตฌ์ฒด์ ์œผ๋กœ ๋ชจ๋นŒ๋ฆฌํ‹ฐ ์ด๋ก ์„ ์ค‘์‹ฌ์œผ๋กœ ์ž์ „๊ฑฐ ๋ชจ๋นŒ๋ฆฌํ‹ฐ์˜ ๊ตฌ์„ฑ๊ณผ ์‹ค์ฒœ์„ ์‚ดํŽด๋ณด์•˜๋‹ค. ์ด๋ฅผ ์œ„ํ•ด์„œ ๋ณธ ์—ฐ๊ตฌ๋Š” 2021๋…„ 7์›”๋ถ€ํ„ฐ 2022๋…„ 12์›”๊นŒ์ง€ ์—ฐ๊ตฌ๋ฅผ ์ง„ํ–‰ํ•˜์˜€๋‹ค. ์—ฐ๊ตฌ ์ฐธ์—ฌ์ž๋Š” 2๋…„ ์ด์ƒ ์ž์ „๊ฑฐ๋ฅผ ์ด์šฉํ•˜์—ฌ ํ†ต๊ทผ/์—ฌ๊ฐ€/์‹ค๋‚ด์šด๋™ ์ฐธ์—ฌ ๊ฒฝํ—˜์„ ๊ฐ–๊ณ  ์žˆ๋Š” 34๋ช…์„ ๋Œ€์ƒ์œผ๋กœ ์—ฐ๊ตฌ๋ฅผ ์ง„ํ–‰ํ•˜์˜€์œผ๋ฉฐ, ์‹ฌ์ธต ์ธํ„ฐ๋ทฐ์™€ ์ฐธ์—ฌ๊ด€์ฐฐ์„ ์‹ค์‹œํ•˜์˜€๋‹ค. ๋ณธ ์—ฐ๊ตฌ์˜ ์ฃผ์š” ๊ฒฐ๊ณผ๋Š” ํฌ๊ฒŒ ์„ธ ๊ฐ€์ง€๋กœ ์š”์•ฝํ•  ์ˆ˜ ์žˆ๋‹ค. ์ฒซ์งธ, ์ž์ „๊ฑฐ ๋ชจ๋นŒ๋ฆฌํ‹ฐ๋ฅผ ์ž‘๋™์‹œํ‚ค๋Š” ์ฃผ์š” ๊ตฌ์„ฑ์š”์†Œ๋ฅผ ์‚ดํŽด๋ณด์•˜๋‹ค. ์ž์ „๊ฑฐ ๋ชจ๋นŒ๋ฆฌํ‹ฐ ๊ตฌ์„ฑ์š”์†Œ๋ฅผ ์‚ดํŽด๋ณด๊ธฐ ์œ„ํ•˜์—ฌ ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ํ–‰์œ„์ž-๋„คํŠธ์›Œํฌ ์ด๋ก ์„ ์ฐจ์šฉํ•˜์—ฌ ์ž์ „๊ฑฐ ๋ชจ๋นŒ๋ฆฌํ‹ฐ๋ฅผ ๊ตฌ์„ฑํ•˜๋Š” ์ฃผ์š” ๊ตฌ์„ฑ์š”์†Œ๋ฅผ ๊ณต๊ฐ„, ๊ธฐ๊ณ„(์ž์ „๊ฑฐ), ํ–‰์œ„์ž๋กœ ๊ตฌ๋ถ„ํ•˜๊ณ , ๊ฐ๊ฐ์˜ ๊ตฌ์„ฑ์š”์†Œ๋ฅผ ์‚ดํŽด๋ณด์•˜๋‹ค. ์ž์ „๊ฑฐ ๋„๋กœ์˜ ์ƒ์„ฑ๊ณผ ์œ ํ˜•์€ ์ž์ „๊ฑฐ ๋ชจ๋นŒ๋ฆฌํ‹ฐ๋ฅผ ๋ฐœ์ƒ์‹œํ‚ค๋Š”๋ฐ ๋ฐ€์ ‘ํ•œ ๊ด€๊ณ„๊ฐ€ ์žˆ์—ˆ๋‹ค. ๋ฐ˜๋ฉด, ์ž์ „๊ฑฐ ๋„๋กœ์˜ ์†Œ๋ฉธ์€ ์ž์ „๊ฑฐ๋ฅผ ํƒ€๋Š” ์‚ฌ๋žŒ๋“ค์—๊ฒŒ ๋ถ€์ •์ ์ธ ๊ฒฝํ—˜์œผ๋กœ ๋‚˜ํƒ€๋‚˜๊ณ  ์žˆ์—ˆ๋‹ค. ๋˜ํ•œ ์ž์ „๊ฑฐ ๋ชจ๋นŒ๋ฆฌํ‹ฐ์™€ ๊ธฐ๊ณ„์˜ ๊ด€๊ณ„์—์„œ ์ž์ „๊ฑฐ์˜ ์œ ํ˜•์€ ์ด๋™ํ•  ์ˆ˜ ์žˆ๋Š” ๊ฑฐ๋ฆฌ์˜ ์ฐจ์ด๋กœ ๋‚˜ํƒ€๋‚˜๊ณ  ์žˆ์—ˆ์œผ๋ฉฐ, ์žฅ๋น„์˜ ์ฐจ์ด๋Š” ์ฐธ์—ฌ์ž๋“ค์—๊ฒŒ ์„œ๋กœ ๋‹ค๋ฅธ ๊ฒฝํ—˜์„ ์ œ๊ณตํ•˜๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚˜๊ณ  ์žˆ์—ˆ๋‹ค. ๋งˆ์ง€๋ง‰์œผ๋กœ ๋ชจ๋นŒ๋ฆฌํ‹ฐ์™€ ํ–‰์œ„์ž์˜ ๊ด€๊ณ„์—์„œ ์ตœ๊ทผ ๊ฐ•์กฐ๋˜๊ณ  ์žˆ๋Š” ๊ฑด๊ฐ•์— ๋Œ€ํ•œ ์ค‘์š”์„ฑ๊ณผ ๋ผ์ดํ”„์Šคํƒ€์ผ์˜ ๋ณ€ํ™”๊ฐ€ ์ž์ „๊ฑฐ๋ฅผ ํƒ€๋Š” ํ–‰์œ„์™€ ๊ธด๋ฐ€ํ•œ ๊ด€๊ณ„๋ฅผ ๋งบ๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚˜๊ณ  ์žˆ์—ˆ๋‹ค. ๋‘˜์งธ, ์ž์ „๊ฑฐ ๋ชจ๋นŒ๋ฆฌํ‹ฐ์˜ ์‹ค์ฒœ์€ ์ž์ „๊ฑฐ๋ฅผ ํƒ€๋Š” ์‚ฌ๋žŒ๋“ค์˜ ๋ชฉ์ ์— ๋”ฐ๋ผ ํ†ต๊ทผ์ด๋™, ์—ฌ๊ฐ€์ด๋™, ๊ฐ€์ƒ์ด๋™์œผ๋กœ ๊ตฌ๋ถ„ํ•˜์—ฌ ์‚ดํŽด๋ณด์•˜๋‹ค. ์ž์ „๊ฑฐ ํ†ต๊ทผ์€ ๋ชจ๋นŒ๋ฆฌํ‹ฐ์˜ ์ผ์ƒํ™”๋กœ ๊ฑฐ๋ฆฌ, ๋„๋กœ, ์‹œ์„ค ๋“ฑ์ด ์ค‘์š”ํ•œ ๊ณ ๋ ค์‚ฌํ•ญ์œผ๋กœ ์—ฌ๊ฒจ์ง€๊ณ  ์žˆ์—ˆ์œผ๋ฉฐ, ์ž์ „๊ฑฐ ํ†ต๊ทผ์˜ ๊ธ์ •์  ๊ฒฝํ—˜์„ ํ†ตํ•ด ์Šต๊ด€์ด ํ˜•์„ฑ๋˜๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚˜๊ณ  ์žˆ์—ˆ๋‹ค. ์ž์ „๊ฑฐ ์—ฌ๊ฐ€/์—ฌํ–‰์€ ๋ชจ๋นŒ๋ฆฌํ‹ฐ์˜ ํ™•์žฅ์œผ๋กœ ์ง€์†์ ์œผ๋กœ ์ž์ „๊ฑฐ๋ฅผ ํƒ€๋Š” ๊ฒƒ์€ ๋ฌผ๋ฆฌ์  ๊ฑฐ๋ฆฌ์˜ ํ™•์žฅ๊ณผ ๊ฒฝํ—˜์˜ ํ™•์žฅ์œผ๋กœ ๋‚˜ํƒ€๋‚˜๊ณ  ์žˆ์—ˆ๋‹ค. ๊ฐ€์ƒ์ด๋™์€ ํ˜„์‹ค์—์„œ์˜ ๋‹ค์–‘ํ•œ ์ œ์•ฝ์œผ๋กœ๋ถ€ํ„ฐ ์ž์œ ๋กญ๊ฒŒ ํ•˜๋ฉฐ ๋ณด๋‹ค ์šด๋™์— ์ง‘์ค‘ํ•  ์ˆ˜ ์žˆ๋Š” ํ™˜๊ฒฝ์„ ์ œ๊ณตํ•ด ์ฃผ๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚˜๊ณ  ์žˆ์—ˆ๋‹ค. ์…‹์งธ, ์ž์ „๊ฑฐ ๋ชจ๋นŒ๋ฆฌํ‹ฐ์˜ ์‚ฌํšŒ์  ์˜๋ฏธ๋Š” ์œ„ํ—˜์˜ ์ด์ค‘๊ตฌ์กฐ, ์†๋„์˜ ์œ„๊ณ„ํ™”, ์‚ฌํšŒ์  ๊ทœ๋ฒ”์˜ ๋ถ€์žฌ๋กœ ๋‚˜ํƒ€๋‚˜๊ณ  ์žˆ์—ˆ๋‹ค. ์ž์ „๊ฑฐ์™€ ๊ด€๋ จํ•˜์—ฌ ์œ„ํ—˜์— ๋Œ€ํ•œ ์ธ์‹์€ ๋‘ ๊ฐ€์ง€ ์ธก๋ฉด์œผ๋กœ ๋‚˜ํƒ€๋‚˜๊ณ  ์žˆ์—ˆ๋‹ค. ์ž์ „๊ฑฐ์— ๋Œ€ํ•œ ์ง„์ง€ํ•จ์˜ ์ฐจ์ด๋Š” ์œ„ํ—˜์— ๋Œ€ํ•œ ์ธ์‹์˜ ์ฐจ์ด๋กœ ๋‚˜ํƒ€๋‚˜๊ณ  ์žˆ์—ˆ์œผ๋ฉฐ, ์ด๋Š” ์ž์ „๊ฑฐ๋ฅผ ํƒ€๋Š” ๋ฐฉ์‹, ์žฅ๋น„ ๋“ฑ์˜ ์ฐจ์ด๋กœ ๋‚˜ํƒ€๋‚˜๊ณ  ์žˆ์—ˆ๋‹ค. ๋˜ํ•œ, ๋ณธ ์—ฐ๊ตฌ์—์„œ ์ž์ „๊ฑฐ์™€ ๊ด€๋ จ๋œ ๋‹ค์–‘ํ•œ ๊ฐˆ๋“ฑ์€ ์†๋„์— ๋”ฐ๋ฅธ ๊ฒƒ์œผ๋กœ ์ดํ•ดํ•  ์ˆ˜ ์žˆ์—ˆ๋‹ค. ์ด๋Š” ๋‹จ์ˆœํžˆ ์ž๋™์ฐจ์™€ ์ž์ „๊ฑฐ์˜ ๊ฐˆ๋“ฑ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ์ž์ „๊ฑฐ์™€ ๋ณดํ–‰์ž, ์ž์ „๊ฑฐ์™€ ์ž์ „๊ฑฐ ์‚ฌ์ด์—๋„ ์กด์žฌํ•˜๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋งˆ์ง€๋ง‰์œผ๋กœ ์ž์ „๊ฑฐ์™€ ๊ด€๋ จ๋œ ๊ทœ๋ฒ”์€ ์ฃผ๋กœ ๋™ํ˜ธํšŒ ์œ„์ฃผ๋กœ ์ƒ์„ฑ๋˜๊ณ  ์žˆ์—ˆ์œผ๋ฉฐ, ๋„๋กœ๋ฅผ ๊ณต์œ ํ•˜๋Š” ๋‹ค์–‘ํ•œ ์‚ฌ๋žŒ๋“ค์ด ๊ณต์œ ํ•˜๋Š” ๊ทœ๋ฒ”์€ ๋ถ€์žฌํ•œ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚˜๊ณ  ์žˆ์—ˆ๋‹ค. ์ž์ „๊ฑฐ ๋ชจ๋นŒ๋ฆฌํ‹ฐ์˜ ๊ตฌ์„ฑ๊ณผ ์‹ค์ฒœ์„ ์ดํ•ดํ•˜๊ณ  ๋ถ„์„ํ•˜๋Š” ์ž‘์—…์€ ๊ทธ๋™์•ˆ ์ถ”์ƒ์ ์ธ ์ˆ˜์ค€์œผ๋กœ ๋…ผ์˜๋œ ๋ชจ๋นŒ๋ฆฌํ‹ฐ ์ด๋ก ์„ ๊ตฌ์ฒด์ ์ธ ์‚ฌ๋ก€๋ฅผ ํ†ตํ•ด์„œ ๋ถ„์„ํ–ˆ๋‹ค๋Š” ์ ์—์„œ ๊ทธ ์˜์˜๋ฅผ ์ฐพ์„ ์ˆ˜ ์žˆ๋‹ค. ๋˜ํ•œ, ๊ทธ๋™์•ˆ ์ž์ „๊ฑฐ์™€ ๊ด€๋ จ๋œ ์—ฐ๊ตฌ๊ฐ€ ๊ตํ†ต ๋˜๋Š” ์Šคํฌ์ธ /์—ฌ๊ฐ€ํ™œ๋™์œผ๋กœ ๋ถ„๋ฆฌ๋˜์—ˆ๋‹ค๋Š” ์ ์—์„œ ์ด๋ฅผ ๊ทน๋ณตํ•˜๊ธฐ ์œ„ํ•œ ์‹œ๋„๋ผ๋Š” ์ ์—์„œ ์‹œ์‚ฌ์ ์ด ์žˆ๋‹ค.This study attempts to pay attention to people who cycles in South Korea. To be more specific, this study examines cycling mobilitys composition and practical aspects focusing on mobility theory. This study was conducted from July 2021 to December 2022. 34 research participants who have cycled for commute/leisure/indoor activity for more than 2 years. The participants of this study were interviewed and observed. The three main results of this study are as followed. Firstly, the construction that makes cycling mobility was analyzed. This study adopted Actor-Network Theory to classify cycling mobilitys key construction as space, bicycle, actor and analyze how each construction is related to mobility. To be specific, the space, that is cycling road, was affinitive with cycling mobility. Because of that, people who cycles recognize the dissolution of cycling road as negative experience. Also, the type of bicycle and difference of equipment were related to the moving distance and experience of participants. Lastly, the mobility shows strong connection with the importance of health and change of lifestyle of the actor. Secondly, peoples purpose of cycling was analyzed. The purpose have been assorted into commute, leisure and virtuality. Commuting through cycling is routinization of mobility. Through positive experiences, participants habituate cycling commute and street, road, facilities were considered critical elements. Cycling leisure/travel is understood as an extension of mobility. The consistent cycling is an extension of physical distance and experience. The virtuality provides relatively free and focusable environment to cycle compared to reality that holds various restrictions. Thirdly, the social implication of bicycle mobility was categorized as dual structure of risk, hierarchy of speed and lack of social norms. The risk related to bicycle is shown through two aspects. The seriousness of riding bicycle has been classified through the awareness of danger. The awareness of danger could be shown through the way of cycling or the gears the rider uses. Also, various conflicts related to cycling was shown to be related with speed. This conflict could be between bicycle and car, bicycle and pedestrian or even bicycle and bicycle. Lastly, the social norms regarding cycling have been generated through cycling clubs. Because of that, the norms among every type of people who shares road is missing. This study provides certain implications considering the analyzation and understanding of cycling mobility construction and practice was done through specific case. Also this study has overcame the fragmentary viewpoint against cycling mobility that categorizes it as traffic or sports/leisure.์ œ1์žฅ ์„œ๋ก  1 1. ์—ฐ๊ตฌ์˜ ํ•„์š”์„ฑ 1 2. ์—ฐ๊ตฌ ๋ชฉ์  6 3. ์—ฐ๊ตฌ ๋ฌธ์ œ 7 ์ œ2์žฅ ์ด๋ก ์  ๋ฐฐ๊ฒฝ 8 1. ๋ชจ๋นŒ๋ฆฌํ‹ฐ ์ด๋ก  9 1) ์ƒˆ๋กœ์šด ๋ชจ๋นŒ๋ฆฌํ‹ฐ๋กœ์˜ ์ „ํ™˜ 10 2) ๋ชจ๋นŒ๋ฆฌํ‹ฐ์˜ ๊ฐœ๋…๊ณผ ์œ ํ˜• 11 3) ๋ชจ๋นŒ๋ฆฌํ‹ฐ์™€ ์ž์ „๊ฑฐ์— ๊ด€ํ•œ ์—ฐ๊ตฌ 14 2. ํ–‰์œ„์ž-๋„คํŠธ์›Œํฌ ์ด๋ก ๊ณผ ๋ชจ๋นŒ๋ฆฌํ‹ฐ 16 1) ํ–‰์œ„์ž-๋„คํŠธ์›Œํฌ ์ด๋ก ์˜ ์ „๊ฐœ 16 2) ํ–‰์œ„์ž-๋„คํŠธ์›Œํฌ ์ด๋ก ์˜ ์ฃผ์š” ๊ฐœ๋… 17 3) ํ–‰์œ„์ž-๋„คํŠธ์›Œํฌ ์ด๋ก ๊ณผ ๋ชจ๋นŒ๋ฆฌํ‹ฐ 20 3. ๋ชจ๋”๋‹ˆํ‹ฐ์™€ ๋ผ์ดํ”„์Šคํƒ€์ผ 22 1) ํ˜„๋Œ€์„ฑ์— ๋Œ€ํ•œ ์ดํ•ด 22 2) ํ˜„๋Œ€์‚ฌํšŒ์™€ ๋ผ์ดํ”„์Šคํƒ€์ผ ์Šคํฌ์ธ ์— ๊ด€ํ•œ ์—ฐ๊ตฌ 24 4. ๋„์‹œ์ •์ฑ…๊ณผ ๋ชจ๋นŒ๋ฆฌํ‹ฐ 28 1) ๋„์‹œ์ •์ฑ…์˜ ์ „ํ™˜ 28 2) ๋„์‹œ์ •์ฑ…๊ณผ ์ž์ „๊ฑฐ 31 3) ๋„์‹œ์ •์ฑ…๊ณผ ์ž์ „๊ฑฐ์— ๊ด€ํ•œ ์—ฐ๊ตฌ 36 ์ œ3์žฅ ์—ฐ๊ตฌ๋ฐฉ๋ฒ• 38 1. ์—ฐ๊ตฌ๋ฐฉ๋ฒ• ์„ ์ • 38 2. ์—ฐ๊ตฌ ์ฐธ์—ฌ์ž 42 3. ์ž๋ฃŒ์ˆ˜์ง‘ 44 4. ์ž๋ฃŒ๋ถ„์„ 46 5. ์—ฐ๊ตฌ์˜ ์ง„์‹ค์„ฑ 47 6. ์œค๋ฆฌ์  ๊ณ ๋ ค 47 ์ œ4์žฅ ์ž์ „๊ฑฐ ๋ชจ๋นŒ๋ฆฌํ‹ฐ์˜ ๊ตฌ์„ฑ 48 1. ์ž์ „๊ฑฐ ๋ชจ๋นŒ๋ฆฌํ‹ฐ์™€ ๊ณต๊ฐ„ 49 1) ๊ณต๊ฐ„์˜ ์ƒ์„ฑ 49 2) ๊ณต๊ฐ„์˜ ์œ ํ˜• 52 3) ๊ณต๊ฐ„์˜ ์†Œ๋ฉธ 56 2. ์ž์ „๊ฑฐ ๋ชจ๋นŒ๋ฆฌํ‹ฐ์™€ ๊ธฐ๊ณ„ 61 1) ์ž์ „๊ฑฐ ์œ ํ˜• 61 2) ์ž์ „๊ฑฐ ์žฅ๋น„ 66 3) ์ž์ „๊ฑฐ ํŠน์„ฑ 70 3. ์ž์ „๊ฑฐ ๋ชจ๋นŒ๋ฆฌํ‹ฐ์™€ ํ–‰์œ„์ž 72 1) ๊ฑด๊ฐ•์ฃผ์˜ 72 2) ๋ผ์ดํ”„์Šคํƒ€์ผ 75 ์ œ5์žฅ ์ž์ „๊ฑฐ ๋ชจ๋นŒ๋ฆฌํ‹ฐ์˜ ์‹ค์ฒœ 80 1. ์ž์ „๊ฑฐ ๋ชจ๋นŒ๋ฆฌํ‹ฐ์˜ ์ผ์ƒํ™” 80 1) ํ†ต๊ทผ ๋ฐฉ์‹์˜ ์ „ํ™˜ 81 2) ํ†ต๊ทผ ์Šต๊ด€์˜ ํ˜•์„ฑ 86 3) ๋ฌธํ™”์˜ ์ถฉ๋Œ 91 2. ์ž์ „๊ฑฐ ๋ชจ๋นŒ๋ฆฌํ‹ฐ์˜ ํ™•์žฅ 93 1) ๋ฌผ๋ฆฌ์  ๊ฑฐ๋ฆฌ์˜ ํ™•์žฅ 93 2) ๊ฐ๊ฐ์  ๊ฒฝํ—˜์˜ ํ™•์žฅ 96 3) ๊ตํ†ต์ˆ˜๋‹จ์˜ ์—ฐ๊ณ„ 100 3. ์ž์ „๊ฑฐ ๋ชจ๋นŒ๋ฆฌํ‹ฐ์™€ ๊ฐ€์ƒ์„ฑ 102 1) ์ž์ „๊ฑฐ์˜ ์‹ค๋‚ดํ™”(indoorization) 102 2) ์œ„ํ—˜์˜ ์‚ฌ์†Œํ™”(trivialization) 105 3) ๊ฐ€์ƒ์„ฑ๊ณผ ์ง„์ •์„ฑ(authenticity) 108 ์ œ6์žฅ ์ž์ „๊ฑฐ ๋ชจ๋นŒ๋ฆฌํ‹ฐ์˜ ์‚ฌํšŒ์  ์˜๋ฏธ 111 1. ์œ„ํ—˜(risk)์˜ ์ด์ค‘๊ตฌ์กฐ 111 1) ์ž์ „๊ฑฐ์— ๋Œ€ํ•œ ํ†ต๋… 112 2) ์œ„ํ—˜์— ๋Œ€ํ•œ ์ธ์‹ 114 2. ์†๋„์˜ ์œ„๊ณ„ํ™”(hierarchy) 119 1) ์†๋„์— ๋”ฐ๋ฅธ ๊ถŒ๋ ฅ ์ƒ์„ฑ 119 2) ์†๋„์— ๋”ฐ๋ฅธ ๊ฒฝํ—˜ ์ฐจ์ด 122 3. ์‚ฌํšŒ์  ๊ทœ๋ฒ”์˜ ๋ถ€์žฌ 124 1) ๊ณต์œ ๋œ ๊ทœ๋ฒ”์˜ ๋ถ€์žฌ 124 2) ๊ต์œก๊ณผ์ •์˜ ๋ถ€์žฌ 126 ์ œ7์žฅ ๊ฒฐ๋ก  ๋ฐ ์ œ์–ธ 130 1. ๊ฒฐ๋ก  130 2. ์ œ์–ธ 133 ์ฐธ๊ณ ๋ฌธํ—Œ 135๋ฐ•

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› ์‚ฌ๋ฒ”๋Œ€ํ•™ ์ฒด์œก๊ต์œก๊ณผ, 2017. 8. ๊ถŒ์ˆœ์šฉ.๋ณธ ์—ฐ๊ตฌ๋Š” ์Šคํฌ์ธ ์–‘์œก์— ์ฐธ์—ฌํ•˜๋Š” ์•„๋ฒ„์ง€๋“ค์ด ์ธ์‹ํ•˜๋Š” ์•„๋ฒ„์ง€๋‹ค์›€์„ ํƒ์ƒ‰ํ•˜๊ณ  ์ด๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ์•„๋ฒ„์ง€๋“ค์ด ์Šคํฌ์ธ ์–‘์œก ๊ณผ์ •์—์„œ ์–ด๋– ํ•œ ๊ฒฝํ—˜์„ ํ•˜๋Š”์ง€ ๊ทธ๋ฆฌ๊ณ  ์–ด๋–ค ํ•จ์˜๋ฅผ ๊ฐ–๋Š”์ง€ ์ดํ•ดํ•˜๋Š”๋ฐ ๊ทธ ๋ชฉ์ ์ด ์žˆ๋‹ค. ์ด๋Ÿฌํ•œ ์—ฐ๊ตฌ๋ชฉ์ ์„ ๋‹ฌ์„ฑํ•˜๊ธฐ ์œ„ํ•ด 1)์Šคํฌ์ธ ์–‘์œก์— ์ฐธ์—ฌํ•˜๋Š” ์•„๋ฒ„์ง€๋“ค์ด ์ธ์‹ํ•˜๋Š” ์•„๋ฒ„์ง€๋‹ค์›€์€ ๋ฌด์—‡์ธ๊ฐ€? 2)์•„๋ฒ„์ง€๋“ค์ด ์ธ์‹ํ•˜๋Š” ์•„๋ฒ„์ง€๋‹ค์›€์€ ์Šคํฌ์ธ ์–‘์œก์„ ํ†ตํ•ด ์–ด๋–ป๊ฒŒ ์‹ค์ฒœ๋˜๋Š”๊ฐ€? 3)์Šคํฌ์ธ ์–‘์œก์„ ํ†ตํ•œ ์•„๋ฒ„์ง€๋‹ค์›€ ์‹ค์ฒœ์˜ ์˜๋ฏธ๋Š” ๋ฌด์—‡์ธ๊ฐ€?๋ฅผ ์—ฐ๊ตฌ ๋ฌธ์ œ๋กœ ์„ค์ •ํ•˜์˜€๋‹ค. ์ด๋Ÿฌํ•œ ์—ฐ๊ตฌ๋ฌธ์ œ๋ฅผ ๋‹ฌ์„ฑํ•˜๊ธฐ ์œ„ํ•ด 2017๋…„ 1์›”๋ถ€ํ„ฐ 2017๋…„ 6์›”๊นŒ์ง€ ์ž๋ฃŒ๋ฅผ ์ˆ˜์ง‘ํ•˜์˜€๋‹ค. ์—ฐ๊ตฌ์ฐธ์—ฌ์ž ์„ ์ •์€ ์งˆ์ ์—ฐ๊ตฌ ๋ฐฉ๋ฒ• ์ค‘ ์˜๋„์  ํ‘œ๋ณธ์ถ”์ถœ(purposeful sampling) ์ค‘ ์‚ฌ๋ก€์ธ๊ธฐ์ค€(criterion) ํ‘œ๋ณธ ์ถ”์ถœ์„ ์‹ค์‹œํ•˜์˜€๋‹ค.์ด์— ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์œ ์†Œ๋…„ ์•ผ๊ตฌํด๋Ÿฝ์— ์ž๋…€๋ฅผ ๋‘๊ณ , ์•„๋ฒ„์ง€๊ฐ€ ์ž๋…€์˜ ์Šคํฌ์ธ ํ™œ๋™์— ์ ๊ทน์ ์œผ๋กœ 1๋…„ ์ด์ƒ ์ฐธ์—ฌํ•˜๊ณ  ์žˆ๋Š” 10๋ช…์˜ ์•„๋ฒ„์ง€๋ฅผ ๋Œ€์ƒ์œผ๋กœ ์—ฐ๊ตฌ๋ฅผ ์ง„ํ–‰ํ•˜์˜€๋‹ค. ์ด๋ฅผ ํ†ตํ•ด ๋‹ค์Œ๊ณผ ๊ฐ™์€ ์—ฐ๊ตฌ๊ฒฐ๊ณผ๋ฅผ ๋„์ถœํ•˜์˜€๋‹ค. ์ฒซ์งธ, ์•„๋ฒ„์ง€๋“ค์ด ์ธ์‹ํ•˜๊ณ  ์žˆ๋Š” ์•„๋ฒ„์ง€๋‹ค์›€์€ ๋‹ค์–‘ํ•œ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚˜๊ณ  ์žˆ์—ˆ๋‹ค. ํŠนํžˆ ๋ณธ ์—ฐ๊ตฌ์— ์ฐธ์—ฌํ•˜๋Š” ์•„๋ฒ„์ง€๋“ค์€ ๊ด€๊ณ„์  ์ธก๋ฉด์„ ์ค‘์‹œํ•˜์—ฌ ์•„๋ฒ„์ง€๋‹ค์›€์„ ํ˜•์„ฑํ•˜๊ณ  ์žˆ์—ˆ๋Š”๋ฐ, ์œ ๋…„์‹œ์ ˆ ์•„๋ฒ„์ง€์™€์˜ ๊ด€๊ณ„, ์•„๋‚ด์™€์˜ ๊ด€๊ณ„, ์ž๋…€์™€์˜ ๊ด€๊ณ„์  ์ธก๋ฉด์—์„œ ์•„๋ฒ„์ง€๋‹ค์›€์„ ํ˜•์„ฑํ•˜๊ณ  ์žˆ์—ˆ๋‹ค. ๋‘˜์งธ, ์Šคํฌ์ธ ์–‘์œก์„ ํ†ตํ•œ ์•„๋ฒ„์ง€๋‹ค์›€์˜ ์‹ค์ฒœ์€ ์˜ค๋Š˜๋‚  ์•„๋ฒ„์ง€๋“ค๋กœ ํ•˜์—ฌ๊ธˆ ์ž๋…€์—๊ฒŒ ์ธ์ƒ๊ณผ ๊ฒฝํ—˜์„ ์ „์ˆ˜ํ•  ์ˆ˜ ์žˆ๋Š” ๊ธฐํšŒ๋ฅผ ์ œ๊ณตํ•˜๊ณ  ์žˆ์—ˆ์œผ๋ฉฐ, ์•„๋ฒ„์ง€์˜ ๋กœ๋ง์—์„œ ์‹œ์ž‘ํ•œ ๋†€์ด๋Š” ์•„๋ฒ„์ง€์™€ ์ž๋…€์˜ ์†Œํ†ต์˜ ๋งค๊ฐœ์ฒด๋กœ ์ž๋ฆฌ์žก์œผ๋ฉด์„œ ์†Œํ†ต์˜ ํ™•๋Œ€๋ฅผ ๊ฒฝํ—˜ํ•˜๊ณ  ์žˆ์—ˆ๋‹ค. ๋˜ํ•œ ์•„๋ฒ„์ง€๋“ค์ด ์ž๋…€์™€ ํ•จ๊ป˜ ์Šคํฌ์ธ ์— ์ฐธ์—ฌํ•˜๋ฉด์„œ ์ž๋…€์˜ ์„ฑ์žฅ์„ ๋Š๋ผ๊ณ , ์ž๋…€์˜ ๊ฐ์ •์„ ์ดํ•ดํ•˜๋ฉด์„œ ์•„๋ฒ„์ง€ ์Šค์Šค๋กœ์— ๋Œ€ํ•œ ์ธ์‹๊ณผ ํ–‰๋™์„ ๋ณ€ํ™”ํ•˜๊ณ  ์žˆ๋‹ค๋Š” ์‚ฌ์‹ค์„ ํ™•์ธํ•  ์ˆ˜ ์žˆ์—ˆ๋‹ค. ์…‹์งธ, ์˜ค๋Š˜๋‚  ์ข‹์€ ์•„๋ฒ„์ง€๋‹ด๋ก ์˜ ํ•œ๊ณ„ ์†์—์„œ ์ ๊ทน์  ์–‘์œก ์‹ค์ฒœ์˜ ์ „๋žต์œผ๋กœ ๋†€์•„์ฃผ๋Š” ๊ฒƒ์˜ ์˜๋ฏธ๋ฅผ ํ™•์ธํ•  ์ˆ˜ ์žˆ์—ˆ์œผ๋ฉฐ, ์Šคํฌ์ธ ์–‘์œก์„ ํ†ตํ•ด ์•„๋ฒ„์ง€๋‹ค์›€์˜ ์‹ค์ฒœ์€ ๊ธฐ์กด์˜ ์—ฌ์„ฑ์˜ ์˜์—ญ์œผ๋กœ ์—ฌ๊ฒจ์ง€๋˜ ์–‘์œก์ด ์ „ํ†ต์  ์  ๋”์—ญํ• ์„ ์žฌํ˜„ํ•˜๋Š” ๊ณต๊ฐ„์œผ๋กœ ๋‚˜ํƒ€๋‚˜๊ณ  ์žˆ์—ˆ๋‹ค.โ… . ์„œ๋ก  1 1. ์—ฐ๊ตฌ์˜ ํ•„์š”์„ฑ 1 2. ์—ฐ๊ตฌ ๋ชฉ์  5 3. ์—ฐ๊ตฌ ๋ฌธ์ œ 5 4. ์šฉ์–ด์˜ ์ •์˜ 6 โ…ก. ์ด๋ก ์  ๋ฐฐ๊ฒฝ 7 1. ํ˜„๋Œ€์‚ฌํšŒ์˜ ๊ฐ€์กฑ๊ณผ ์•„๋ฒ„์ง€ 7 1) ๊ฐ€์กฑ์˜ ๋ณ€ํ™”์™€ ์˜ค๋Š˜๋‚ ์˜ ์•„๋ฒ„์ง€๋‹ค์›€(fatherhood) 7 2) ์•„๋ฒ„์ง€๋‹ค์›€(fatherhood)๊ณผ ๋‚จ์„ฑ์„ฑ(masculinity) 11 3) ์•„๋ฒ„์ง€์™€ ์Šคํฌ์ธ ์˜ ๊ด€๊ณ„ 15 2. ์Šคํฌ์ธ ์–‘์œก์˜ ์ดํ•ด 18 1) ์–‘์œก์˜ ๊ฐœ๋… 18 2) ์–‘์œก์—์— ๋Œ€ํ•œ ์ด๋ก ์  ์ดํ•ด 19 3) ์Šคํฌ์ธ ์–‘์œก์˜ ์ดํ•ด 25 3. ์œ ์†Œ๋…„ ์Šคํฌ์ธ ํด๋Ÿฝ์— ๋Œ€ํ•œ ์ดํ•ด 27 1) ์œ ์†Œ๋…„ ์Šคํฌ์ธ ํด๋Ÿฝ์˜ ๊ฐœ๋… 27 2) ์œ ์†Œ๋…„ ์Šคํฌ์ธ ํด๋Ÿฝ์˜ ์ดํ•ด 31 3) ์œ ์†Œ๋…„ ์Šคํฌ์ธ ํด๋Ÿฝ๊ณผ PYD ๋ชจํ˜•๊ณผ์˜ ๊ด€๊ณ„ 34 โ…ข. ์—ฐ๊ตฌ๋ฐฉ๋ฒ• 37 1. ์—ฐ๊ตฌ๋ฐฉ๋ฒ•์˜ ์„ ์ • 37 2. ์—ฐ๊ตฌ ์ฐธ์—ฌ์ž 38 3. ์ž๋ฃŒ์ˆ˜์ง‘ 40 4. ์ž๋ฃŒ๋ถ„์„ 43 5. ์ž๋ฃŒ์˜ ์ง„์‹ค์„ฑ ๊ฒ€์ฆ 43 6. ์œค๋ฆฌ์  ๊ณ ๋ ค 43 โ…ฃ. ๊ฒฐ๊ณผ 45 1. ์•„๋ฒ„์ง€๋“ค์ด ์ธ์‹ํ•˜๋Š” ์•„๋ฒ„์ง€๋‹ค์›€ 45 1) ์œ ๋…„์‹œ์ ˆ ์•„๋ฒ„์ง€์™€์˜ ๊ด€๊ณ„: ๊ธฐ์–ต์˜ ์ž”์ƒ 45 2) ์•„๋‚ด์™€์˜ ๊ด€๊ณ„: ์ข‹์€ ๋‚จํŽธ 50 3) ์ž๋…€์™€์˜ ๊ด€๊ณ„: ํ•จ๊ป˜ํ•˜๋Š” ์•„๋ฒ„์ง€ 55 2. ์Šคํฌ์ธ ์–‘์œก์„ ํ†ตํ•œ ์•„๋ฒ„์ง€๋‹ค์›€์˜ ์‹ค์ฒœ 59 1) ์‚ถ์˜ ์ „์ˆ˜: ์ธ์ƒ๊ณผ ๊ฒฝํ—˜ 59 2) ์†Œํ†ต์˜ ํ™•์žฅ: ๋‚จ์ž๋“ค์˜ ์บ์น˜๋ณผ 66 3) ์žƒ์–ด๋ฒ„๋ฆฐ ์•„๋ฒ„์ง€๋‹ค์›€ ์ฐพ๊ธฐ: ์•„๋ฒ„์ง€๋“ค์˜ ์„ฑ์žฅ๊ณผ ๋ณ€ํ™” 73 3. ์•„๋ฒ„์ง€์˜ ์Šคํฌ์ธ ์–‘์œก์ด ์ง€๋‹ˆ๋Š” ํ•จ์˜ 79 1) ๋†€์•„์ฃผ๋Š” ๊ฒƒ: ์ข‹์€ ์•„๋ฒ„์ง€๋‹ด๋ก ์˜ ํ•œ๊ณ„์™€ ์ ๊ทน์  ์–‘์œก ์‹ค์ฒœ 79 2) ์ „ํ†ต์  ์  ๋” ์—ญํ•  ์žฌ์ƒ์‚ฐ: ์Šคํฌ์ธ ์–‘์œก์„ ํ†ตํ•œ ์•„๋ฒ„์ง€๋‹ค์›€ ์‹ค์ฒœ 85 โ…ค. ๋…ผ์˜ 90 1. ์•„๋ฒ„์ง€๋“ค์ด ์ธ์‹ํ•˜๋Š” ์•„๋ฒ„์ง€๋‹ค์›€ 90 2. ์Šคํฌ์ธ ์–‘์œก์„ ํ†ตํ•œ ์•„๋ฒ„์ง€๋‹ค์›€์˜ ์‹ค์ฒœ 92 3. ์•„๋ฒ„์ง€์˜ ์Šคํฌ์ธ ์–‘์œก์ด ์ง€๋‹ˆ๋Š” ํ•จ์˜ 94 โ…ฅ. ๊ฒฐ๋ก  ๋ฐ ์ œ์–ธ 96 1. ๊ฒฐ๋ก  96 2. ์ œ์–ธ 97 ์ฐธ๊ณ ๋ฌธํ—Œ 98 Abstract 108Maste

    (An) analysis of hospital wastewater for the effective management

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    ํ™˜๊ฒฝ๊ด€๋ฆฌํ•™๊ณผ/์„์‚ฌ[ํ•œ๊ธ€] ์šฐ๋ฆฌ๋‚˜๋ผ์˜ ๊ฒฝ์ œ์„ฑ์žฅ๊ณผ ์˜๋ฃŒ๊ธฐ๊ด€์˜ ์ฆ๊ฐ€์— ๋”ฐ๋ผ ๋ณ‘์›์—์„œ ๋ฐฐ์ถœ๋˜๋Š” ํ์ˆ˜์˜ ์–‘๋„ ์ฆ๊ฐ€ ์ถ”์„ธ๋ฅผ ๋‚˜ํƒ€๋‚ด๊ณ  ์žˆ๋‹ค. ์ข…ํ•ฉ๋ณ‘์›๋“ค์€ ์ผ๋ฐ˜์‚ฐ์—…์žฅ๊ณผ๋Š” ๋‹ฌ๋ฆฌ ์†Œ์žฌํ•˜๊ณ  ์žˆ๋Š” ์œ„์น˜๊ฐ€ ๋Œ€๋ถ€๋ถ„ ์ฃผ๊ฑฐ์ง€์—ญ์ด๋ฉฐ ๋˜ํ•œ ๋ณ‘์›ํ์ˆ˜๋Š” ๋ณ‘์›์„ฑ ๋ฏธ์ƒ๋ฌผ์— ์˜ค์—ผ๋  ์šฐ๋ ค๊ฐ€ ์žˆ์–ด ๊ตญ๋ฏผ๊ฑด๊ฐ•์„ ์œ„ํ•˜์—ฌ ๋ณด๋‹ค ํŠน๋ณ„ํžˆ ๊ด€๋ฆฌ๋˜์–ด์•ผ ํ•œ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ํ˜„์žฌ๊นŒ์ง€ ์ข…ํ•ฉ๋ณ‘์›ํ์ˆ˜ ๊ด€๋ฆฌ์— ๋Œ€ํ•œ ๊ตฌ์ฒด์ ์ธ ์กฐ์‚ฌ์—ฐ๊ตฌ๊ฐ€ ์—†๋Š” ์‹ค์ •์ด๋‹ค. ๋”ฐ๋ผ์„œ ๋ณธ์—ฐ๊ตฌ์—์„œ ์ „๊ตญ 31๊ฐœ ์ข…ํ•ฉ๋ณ‘์›์„ ์„ ์ •ํ•˜์—ฌ ์„ค๋ฌธ์กฐ์‚ฌ ๋ฐ ํ์ˆ˜๊ด€๋ฆฌ์ž์™€ ๋ฉด๋‹ด์„ ํ†ตํ•˜์—ฌ ๋ณ‘์›ํ์ˆ˜ ๋ฐœ์ƒ์› ๋ฐ ํ์ˆ˜์˜ ํŠน์„ฑ์„ ํŒŒ์•…ํ•˜๊ณ  ์˜ค์—ผ๋„๊ฐ€ ํฐ ์„ธํƒ๋ฌผ์ฒ˜๋ฆฌ ๋ฐฉ๋ฒ• (์„ธํƒ๋ฌผ ์ž์ฒด์ฒ˜๋ฆฌ, ์ž์ฒด๋ฐ ์™ธ์ฃผ์ฒ˜๋ฆฌ, ์™ธ์ฃผ์ฒ˜๋ฆฌ)๋ณ„๋กœ ๊ตฌ๋ถ„ํ•˜์–ด ํ์ˆ˜๋Ÿ‰ ๋ฐ ์˜ค์—ผ๋ฌผ์งˆ ๋ถ€ํ•˜๋Ÿ‰์„ ์‚ฐ ์ถœํ•˜์˜€๋‹ค. ์‚ฐ์ถœ๋œ ํ์ˆ˜๋Ÿ‰ ๋ฐ ์˜ค์—ผ๋ฌผ์งˆ ๋ถ€ํ•˜๋Ÿ‰์„ ์ถ”ํ›„ ์‹œ๊ณต๋  ์ข…ํ•ฉ๋ณ‘์› ํ์ˆ˜์ฒ˜๋ฆฌ์žฅ ๊ฑด์„ค ๋ฐ ํ์ˆ˜์ฒ˜๋ฆฌ์žฅ ์ •์ƒ์šด์˜์— ํ•„์š”ํ•œ ์ •๋ณด์ œ๊ณต์„ ์œ„ํ•ด ๋ณธ๋…ผ๋ฌธ์—์„œ ์„ค์ •ํžŒ ์ธ์ž (๋ณ‘์ƒ์ˆ˜, ์ง์›์ˆ˜, ๊ฑดํ‰, ์ž…์›ํ™˜์ž ๋ฐ ์™ธ๋ž˜ํ™˜์ž)๋ฅผ ๊ธฐ์ค€์œผ๋กœ ์›๋‹จ์œ„๋ฅผ ์‚ฐ์ถœํ•˜์˜€๋‹ค. ๊ทธ๋ฆฌ๊ณ  1988๋…„ 2์›” ๋ถ€ํ„ฐ 1989๋…„ 3์›” ๊นŒ์ง€ ์กฐ์‚ฌ๋Œ€์ƒ ๋ณ‘์›์˜ ์›ํ์ˆ˜์™€ ์ฒ˜๋ฆฌ์ˆ˜์˜ ์˜ค์—ผ๋ฌผ์งˆ ๋†๋„๋ฅผ ์กฐ์‚ฌํ•˜์—ฌ ํ˜„์žฌ ์‚ฌ์šฉํ•˜๋Š” ํ์ˆ˜์ฒ˜๋ฆฌ ๋ฐฉ๋ฒ•์— ์˜ํ•œ ์˜ค์—ผ๋ฌผ์งˆ ์ œ๊ฑฐํšจ์œจ์„ ์กฐ์‚ฌํ•˜์˜€๋‹ค. ๋ณธ์—ฐ๊ตฌ์—์„œ ๋„์ถœ๋œ ์ข…ํ•ฉ๋ณ‘์›์˜ ํ์ˆ˜๊ด€๋ฆฌ์ƒ ๋ฌธ์ œ์ ์— ๋Œ€ํ•œ ๋ณ‘์› ๋‚ด๋ถ€์ ์ธ ๋Œ€์ฑ…๊ณผ ์ œ๋„์ ์ธ ๋Œ€์ฑ…์„ ์ œ์‹œํ•œ ๊ฒฐ๊ณผ ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. 1. ๋ณ‘์›ํ์ˆ˜๋Š” ์ˆ˜์ˆ ์‹ค, ์‘๊ธ‰์‹ค๋“ฑ์—์„œ ๋ฐœ์ƒ๋˜๋Š” ์†Œ๋…์•ก์ด ํ•จ์œ ๋œ ์†Œ๋…ํ์ˆ˜, ์ž„์ƒ๋ณ‘๋ฆฌ์‹ค, ํ•ด๋ถ€๋ณ‘๋ฆฌ์‹ค ๋ฐ ์‹คํ—˜์‹ค์Šต์‹ค๋“ฑ์—์„œ ๋ฐœ์ƒํ•˜๋Š” ๊ฐ์ข… ์œ ํ•ด๋ฌผ์งˆ์ด ํ•จ์œ ๋œ ๊ฒ€์‚ฌํ์ˆ˜, ์ง„๋‹จ๋ฐฉ์‚ฌ์„ ๊ณผ ๋ฐ ์น˜๋ฃŒ๋ฐฉ์‚ฌ์„ ๊ณผ, ๋™์œ„์›์†Œ ๊ฒ€์‚ฌ์‹ค๋“ฑ์—์„œ ๋ฐœ์ƒํ•˜๋Š” ๋ฐฉ์‚ฌ์„  ์˜ค์—ผ์˜ ์šฐ๋ ค๊ฐ€ ์žˆ๋Š” ๊ธˆ์† ์„ ํ•จ์œ ํ•˜๋Š” X-ray ํ์ˆ˜์™€ ์„ธํƒํ์ˆ˜๋กœ ๊ตฌ๋ถ„๋˜์—ˆ๋‹ค. 2. ์›๋‹จ์œ„ ์‚ฐ์ •์€ ์„ธํƒ์ฒ˜๋ฆฌ ๋ฐฉ๋ฒ• (์„ธํƒ๋ฌผ ์ฒด์ฒ˜๋ฆฌ, ์„ธํƒ๋ฌผ ์ž์ฒด ๋ฐ ์™ธ์ฃผ์ฒ˜๋ฆฌ, ์„ธํƒ๋ฌผ ์™ธ์ฃผ์ฒ˜๋ฆฌ)์— ๋”ฐ๋ผ ์‚ฐ์ • ํ•˜์˜€๋Š”๋ฐ ์„ธํƒ๋ฌผ์ž์ฒด์ฒ˜๋ฆฌ ํ•˜๋Š” ๋ณ‘์›์—์„œ๋Š” ๋ณ‘์ƒ 1๊ฐœ๋‹น ์—ฐ๊ฐ„ ํ์ˆ˜๋Ÿ‰์ด 51.11(M**3 /๋…„), ์ง์› 1์ธ๋‹น ์—ฐ๊ฐ„ ํ์ˆ˜๋ฐœ์ƒ๋Ÿ‰์€ 36.11(M**3 /๋…„), ์„ธํƒ๋ฌผ ์ž์ฒด ๋ฐ ์™ธ์ฃผ์ฒ˜๋ฆฌํ•˜๋Š”๊ณณ์€ ๋ณ‘์ƒ 1๊ฐœ๋‹น 30.13(M**3 /๋…„), ์ง์› 1์ธ๋‹น 20.79(M**3 /๋…„), ์„ธํƒ๋ฌผ ์™ธ์ฃผ์ฒ˜๋ฆฌํ•˜๋Š” ๊ณณ์€ ๋ณ‘์ƒ 1๊ฐœ๋‹น 9.49(M**3 /๋…„), ์ง์› 1์ธ๋‹น 8.24(M**3 /๋…„) ์œผ๋กœ ์‚ฐ์ถœ๋˜์—ˆ๋‹ค. 3. ์›๋‹จ์œ„์— ๋Œ€ํ•œ ์ƒ๊ด€์„ฑ์€ ๋‹ค์Œ๊ณผ๊ฐ™๋‹ค. ์„ธํƒ๋ฌผ์ž์ฒด์ฒ˜๋ฆฌ์‹œ Y1 = 294.027 X1 - 65471 (Y1:๋ฌผ์‚ฌ์šฉ๋Ÿ‰, X1:์ง์›์ˆ˜) R**2 = 0.811 Y2 = 50.226 X2 + 329.07 (Y2:ํ์ˆ˜๋Ÿ‰, X2:๋ณ‘์ƒ์ˆ˜) R**2 = 0.995 ์„ธํƒ๋ฌผ ์™ธ์ฃผ ๋ฐ ์ž์ฒด์ฒ˜๋ฆฌ์‹œ Y2 = 29.284 X2 + 326.9 (Y2:ํ์ˆ˜๋Ÿ‰, X2:๋ณ‘์ƒ์ˆ˜) R**2 = 0.996 Y3 = 5.258 X3 + 182.4 (Y3:BOD๋ถ€ํ•˜๋Ÿ‰, X3:๋ณ‘์ƒ์ˆ˜) R**2 = 0.703 Y4 = 5.206 X4 - 349.6 (Y4:COD๋ถ€ํ•˜๋Ÿ‰, X4:๋ณ‘์ƒ์ˆ˜) R**2 = 0.670 ์„ธํƒ๋ฌผ ์™ธ์ฃผ์ฒ˜๋ฆฌ์‹œ Y1 = 163.280 Xl - 20l6.6 Yl:๋ฌผ์‚ฌ์šฉ๋Ÿ‰, Xl:์ง์›์ˆ˜) R**2 = 0.962 Y2 = 7.316 X2 + 684.24 Y2:ํ์ˆ˜๋Ÿ‰, X2:๋ณ‘์ƒ์ˆ˜) R**2 = 0.939 Y3 = 0.028 X3 + 105.05 Y3:BOD๋ถ€ํ•˜๋Ÿ‰, X3:๊ฑดํ‰) R**2 = 0.970 Y4 = 1.132 X4 - 45.66 Y4:COD๋ถ€ํ•˜๋Ÿ‰, X4:์ง์›์ˆ˜) R**2 = 0.962 Y5 = 1.069 X5 - 279.l8 Y5:n-h๋ถ€ํ•˜๋Ÿ‰, X5:๋ณ‘์ƒ์ˆ˜) R**2 = 0.808 4. ์ข…ํ•ฉ๋ณ‘์› ํ์ˆ˜์ฒ˜๋ฆฌ๋Š” ๋ฌผ๋ฆฌํ™”ํ•™์  ์ฒ˜๋ฆฌ๋ฅผ ํ•˜๋Š” ๊ณณ์ด 38%, ์ข…ํ•ฉ์ฒ˜๋ฆฌ(์ƒ๋ฌผ, ํ™”ํ•™, ๋ฌผ๋ฆฌ์  ์ฒ˜๋ฆฌ)๋ฅผ ํ•˜๋Š” ๊ณณ์€ 45%์ด๋ฉฐ ๋ฌผ๋ฆฌํ™”ํ•™์  ์ฒ˜๋ฆฌ์‹œ ์ฒ˜๋ฆฌํšจ์œจ์€ BOD๊ธฐ์ค€์‹œ 36.6-94.5%, COD๊ธฐ์ค€์‹œ 10.9-82.4%, SS๊ธฐ์ค€์‹œ 30.0-93.6%, n-Hexane๊ธฐ์ค€์‹œ 37.7-97.9%๋กœ ๋‚˜ํƒ€๋‚ฌ์œผ๋ฉฐ, ์ข… ํ•ฉ์ฒ˜๋ฆฌ์‹œ ์ฒ˜๋ฆฌํšจ์œจ์€ BOD๊ธฐ์ค€์‹œ 41.4-90.1%, COD๊ธฐ์ค€์‹œ 46.6-87.7%, SS๊ธฐ์ค€์‹œ 27.7-92.4%, n-Hexane๊ธฐ์ค€์‹œ 13.8%-89.1%๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. 5 ์ข…ํ•ฉ๋ณ‘์› ๊ด€๋ฆฌ๋Œ€์ฑ… 1) ํ์ˆ˜ ๋ฐœ์ƒ์›์— ์žˆ์–ด์„œ์˜ ๋Œ€์ฑ… ๊ฐ€) ๋ณ‘์›์‹œ์„ค์„ ์„ค์น˜ํ• ๋•Œ ๊ฑด์ถ•์ „๋ฌธ๊ฐ€ ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ํ™˜๊ฒฝ์ „๋ฌธ๊ฐ€์˜ ์ž๋ฌธ์„ ๋ฐ›์•„ ํ์ˆ˜๋ฐฐ์ถœ์‹œ์„ค์˜ ๊ด€๊ฑฐ๋ฅผ ํ™•์‹คํ•˜๊ฒŒ ๋ถ„๋ฆฌ ์„ค์น˜ํ•˜์—ฌ ํ์ˆ˜์™€ ์˜ค์ˆ˜์˜ ๋ถ„๋ฆฌ์ฒ˜๋ฆฌ๊ฐ€ ํ™•์‹คํžˆ ๋˜๋„๋ก ํ•ด์•ผํ•œ๋‹ค. ๋‚˜) ๋ณ‘์› ๊ด€๋ฆฌ์ž๋“ค์€ ์ „๋ฌธ๊ธฐ๊ด€์— ์˜๋ขฐํ•˜์—ฌ ๋ฐฉ์ง€์‹œ์„ค์—์„œ ๊ทผ๋ฌดํ•˜๋Š” ์ง์›๋“ค๋ฟ ์•„๋‹ˆ๋ผ ์ง„๋ฃŒํ–‰์œ„์— ๊ด€๋ จ๋œ ๋ถ€์„œ์—์„œ ๊ทผ๋ฌดํ•˜๋Š” ์ง์›๋“ค์—๊ฒŒ๋„ ํ™˜๊ฒฝ์— ๊ด€ํ•œ ๊ต์œก์„ ์‹œ์ผœ ๊ฐ€๋Šฅํ•œํ•œ ์œ ํ•ด๋ฌผ์งˆ์„ ๋ถ„๋ฆฌ์ˆ˜๊ฑฐํ•œํ›„ ์ฒ˜๋ฆฌํ•  ์ˆ˜ ์žˆ๋„๋ก ํ•˜์—ฌ์•ผํ•  ๊ฒƒ์ด๋‹ค. 2) ํ์ˆ˜์ฒ˜๋ฆฌ์— ์žˆ์–ด์„œ์˜ ๋Œ€์ฑ… ๊ฐ€) ํ์ˆ˜์ฒ˜๋ฆฌ์‹œ BOD, COD, SS๋“ฑ์—์„ ๊ธฐ์ค€์น˜ ์ด๋‚ด๋กœ๋งŒ ์ฒ˜๋ฆฌ ํ•˜๋ ค๊ณ  ํ•˜์ง€์•Š๊ณ  ํ˜„์žฌ ์‹œ์„ค๋œ ์ฒ˜๋ฆฌ์žฅ์น˜๋ฅผ ์ด์šฉํ•˜์—ฌ ๊ฐ€๋Šฅํ•œํ•œ ์ตœ๋Œ€๋กœ ์ฒ˜๋ฆฌํ•˜์—ฌ์•ผ ํ•œ๋‹ค. ๋‚˜) ์ง„๋ฃŒํ–‰์œ„์— ์ข…์‚ฌํ•˜๋Š” ๋Œ€์ƒ ์ง์›๋“ค๊ณผ ๋ฐฉ์ง€์‹œ์„ค์—์„œ ๊ทผ๋ฌดํ•˜๋Š” ํ™˜๊ฒฝ๊ด€๊ณ„์ž๋“ค๊ณผ ์ƒํ˜ธ ํ˜‘์กฐ์œ ์ง€ ์ฒด๊ณ„๊ฐ€ ๋˜์–ด ํ์ˆ˜์ฒ˜๋ฆฌ์— ์†Œ๋…์•ก๊ณผ๊ฐ™์€ ์œ ๋…๋ฌผ์งˆ๋“ฑ์˜ ๊ณผ๋ถ€ํ•˜๋“ฑ๊ณผ ๊ฐ™์€ ๋ฌธ์ œ๋ฅผ ๋ณด๋‹ค ๋นจ๋ฆฌ ํŒŒ์•…ํ•˜์—ฌ ์ ์ •๊ด€๋ฆฌ์— ๋ฌด๋ฆฌ๊ฐ€ ์—†๋„๋ก ํ•ด์•ผํ•  ๊ฒƒ์ด๋‹ค. 3) ์œ„ํƒ์ฒ˜๋ฆฌ์— ์žˆ์–ด์„œ์˜ ๋Œ€์ฑ… ๊ฐ€) ๋ณ‘์› ์„ธํƒ๋ฌผ๋“ฑ์„ ์™ธ๋ถ€๋กœ ๋ฐ˜์ถœ์‹œ์—๋Š” ๋ฏธ์ƒ๋ฌผ์˜ ์™ธ๋ถ€ ์˜ค์—ผ์ด ๋˜์ง€์•Š๊ฒŒ ๋ฐ€ํ๋œ ํŠน์ • ์šด๋ฐ˜ ์ฐจ๋Ÿ‰์œผ๋กœ ์šด๋ฐ˜ํ•˜์—ฌ์•ผ ํ• ๊ฒƒ์œผ๋กœ ์‚ฌ๋ฃŒ๋œ๋‹ค. ๋‚˜) ๋ถ„๋ฆฌ์ˆ˜๊ฑฐํ•œ ์œ ํ•ด ๋ฌผ์งˆ๋“ฑ์˜ ์œ„ํƒ์ฒ˜๋ฆฌ ๋Œ€์žฅ์„ ๋ณด์œ  ํ•ด์•ผํ•œ๋‹ค 4) ๊ด€๋ฆฌ ๊ฐ๋…์ƒ์˜ ๋Œ€์ฑ… ๋ณ‘์› ๋ฐฐ์ถœ์‹œ์„ค์€ ์ผ๋ฐ˜์‚ฐ์—…๋ฐฐ์ถœ์‹œ์„ค๊ณผ๋Š” ๋‹ฌ๋ฆฌ ์œ„์น˜๊ฐ€ ๊ฑฐ์˜ ๋Œ€๋ถ€๋ถ„ ์ฃผ๊ฑฐ์ง€์—ญ์— ์œ„์น˜ ํ•˜๋ฏ€๋กœ ํ์ˆ˜๋ฐฐ์ถœ์‹œ์„ค ๊ทœ์ •์„ ์„ธ๋ถ„ํ™”ํ•˜์—ฌ ํ์ˆ˜๊ฐ€ ์ผ๋ฐ˜ ํ•˜์ˆ˜๋กœ ์ฒ˜๋ฆฌ๋˜์ง€ ์•Š์€ ์ƒํƒœ๋กœ ํ˜๋Ÿฌ๋“ค์–ด๊ฐ€์ง€ ์•Š๋„๋ฅต ๋ณด๋‹ค ์„ธ์‹ฌํ•œ ๊ด€๋ฆฌ๊ฐ๋…์ด ์ด๋ฃจ์–ด์ ธ์•ผ ํ•  ๊ฒƒ์ด๋‹ค [์˜๋ฌธ] According to economic growth and increasing the number of clinics, The wastewater discharged from them has been increased. Compare to industrial facilities, Most of hospitals were located in resident area and the clinical wastewater might be contaminated by diverse pathogenic microorganisms, intensive management should be required for it. But the management of the wastewater has not been studied in detail yet. Thus, the source and characters of wastewaters were investigated at thirty-one hospitals through questionaires and interviews with plant operaters. Amount of wastewater and pollutant loadings were calculated by three categories of washing condition (local cleaning, local and out side cleaning, out side cleaning) Unit loadings of wastewater and pollutants were calculated by the no minated factors (bed, employee, building area, in-patient, and out-pataient)., These offer the information of foundamental data for the construction of hospital wastewater treatment plant This study was carried out From Febuary 1988 to March 1989. Removal efficiency of BOD,COD SS, and n-h was estimated for the current combined(chemical + biological) treatment and chemical treatment method. The conclusions and counter-mesures for the effective management of hospital wastewater were as followings. 1. The clinical wastewater is largely divided into disinfection water, from a operating room and the emergence room, the lab's water from a clinical pathology, an anatomical pathology and laboratory, the X-ray water from the department of radiology, and the Washing water. 2. The unit loading should be calculated by each washing condition. And the unit loadings were 51.11(m**3 /year) per one bed and 36.11(m**3 /year) per one employee in local cleaning, 30.13(m**3 /year) per bed and 20.79(m**3 /year) per one employee in local or outside cleaning condition, 9.49(m**3 /year) per bed and 8.24(m**3 /year) per one employee in outside cleaning, respectively. 3. Relationships are as follows. Local cleaning Yl = 294.027 Xl - 65471 (Yl:use water, Xl:employee) R**2 = 0.811 Y2 = 50.226 X2 + 329.07 (Y2:wastewater, X2:bed) R**2 = 0.996 Local and Out side cleaning Y2 = 29.284 X2 + 326.9 (Y2:wastewater, X2:bed) R**2 = 0.996 Y3 = 5.258 X3 + 182.4 (Y3:BOD loading, X3:bed) R**2 = 0.703 Y4 = 5.206 X4 - 349.6 (Y4:COD loading, X4:bed) R**2 = 0.670 Out side cleaning Yl = 163.280 Xl - 2016.6 (Yl:Use water, X1:employee) R**2 = 0.962 Y2 = 7.316 X2 + 684.24 (Y2:wastewater, X2:bed) R**2 = 0.939 Y3 = 0.028 X3 + 105.05 (Y3:BOD loading, X3:building area) R**2 = 0.970 Y4 = 1.132 X4 - 45.66 (Y4:COD loading, X4:employee) R**2 = 0.962 Y5 = 1.069 X5 - 279.18 (Y5:n-h loading, X5:bed) R**2 = 0.808 4. Chemical treatment equipped hospital was 38% and combined(chemical+biological) treatment equipped hospital was 45%. The removal efficiency of polluntants concentration showed 36.6%-94.5% (BOD), 10.9%-82.4% (COD), 30.3%-93.6% (SS), 37.7%-97.9%(n-h) when treated by chemical process. The removal efficiency of polluntants concentration showed 41.4-90.1% (BOD), 46.7%-87.7% (COD), 27.7%-92.4% (SS), 13.8%-89.1% (n-h) when treated by combined(chemical+biological) process. 5. Mesures of managing a polyclinic 1) The countermeasure to the source of wastewaters (1) The hospital has to be installed with the treating facilities to divide into wastewater and sewage following environmental specialists' consultants. Therefore seperated collection should be mads for wastewater and sewage for efficient treatment. (2) It is necessary for the manager of a hospital to educate the employees related the medical examination and treatment in order that they could treat the injurious materials properly and seperately. 2) Nesures to the treatment of wastewater. (1) It is more proper methods to treat wastewater maximize with using the equipments if possible than to treat BOD/COD/SS below standard limits. (2) The injurious materials such an antiseptic solution has to be analyzed and treated quickly with aiding each other. 3) Devices on the consignment (1) When the laundary is sented out, it is necessary to use specially the closed car in order to prevent from the infection. (2) The register has to be possessed for treating injurious materials seperately on the consignment. 4) Devices on the institutional management (1) The exhaustive management has to be made in the medical instrument of extracting wastewaters which is located in a residential district so that the untreated wastewater could not drained into sewer.prohibitio

    ๋ฌด์„  ์Šค์ผ€์ค„๋ง ๊ธฐ๋ฒ•์„ ์ด์šฉํ•œ ์‹ ํ˜ธ๋“ฑ ์—†๋Š” ๊ต์ฐจ๋กœ์—์„œ์˜ ๊ตํ†ต์ œ์–ด๋ฐฉ๋ฒ•

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ์ „๊ธฐยท์ปดํ“จํ„ฐ๊ณตํ•™๋ถ€, 2012. 2. ์ด์ •์šฐ.์˜ค๋Š˜๋‚  ์„ธ๊ณ„์˜ ๋Œ€๋ถ€๋ถ„ ๋Œ€๋„์‹œ์—์„œ๋Š” ๊ตํ†ต ์ •์ฒด์™€ ๊ตํ†ต ์•ˆ์ „์ด ํฐ ๋ฌธ์ œ์‹œ๋˜๊ณ  ์žˆ๋‹ค. ๊ตํ†ต ์ •์ฒด๊ฐ€ ์‚ฌํšŒ์ ์œผ๋กœ ๋ฌธ์ œ๊ฐ€ ๋˜๋Š” ์ด์œ ๋Š” ๋‹จ์ง€ ์ด๋™์‹œ๊ฐ„์ด ์˜ค๋ž˜ ๊ฑธ๋ ค์„œ ์‚ฌํšŒ ํšจ์œจ์„ฑ์ด ์ €ํ•˜๋ผ์„œ ์•„๋‹ˆ๋ผ ๋งค์ผ ์ถœํ‡ด๊ทผ์„ ํ•˜๊ฑฐ๋‚˜ ๋“ฑ๊ตํ•  ๋•Œ ์‹œ๊ฐ„์ด ์–ผ๋งˆ๋‚˜ ๊ฑธ๋ฆด์ง€ ์˜ˆ์ธกํ•˜๊ธฐ ์–ด๋ ต๋‹ค๋Š” ์ ์— ์žˆ๋‹ค. ํ•ด๋‹นํ•˜๋Š” ๋‚ ์— ๋”ฐ๋ผ ๋น„๊ฐ€ ์™€์„œ ์ฐจ๋Ÿ‰์ด๋™์†๋„๊ฐ€ ๋Šฆ์–ด์ง„๋‹ค๊ฑฐ๋‚˜, ๋„๋กœ ๊ณต์‚ฌ๊ฐ€ ์ง„ํ–‰ ์ค‘์ด์–ด์„œ ์ฐจ๋Ÿ‰ ์ •์ฒด๊ฐ€ ๋” ์‹ฌํ•ด์กŒ๋‹ค๊ฑฐ๋‚˜ ๊ตํ†ต ์‚ฌ๊ณ ๋กœ ๋„๋กœ๊ฐ€ ํ†ต์ œ๋˜๋Š” ์ƒํ™ฉ์ด ์žˆ์„ ์ˆ˜ ์žˆ๋‹ค. ์ด์ฒ˜๋Ÿผ ์ฐจ๋Ÿ‰์„ ์ด์šฉํ•ด์„œ ์ด๋™ํ•  ๋•Œ์—๋Š” ๊ทธ ๋‚ ์˜ ๋„๋กœ ์ „๋ฐ˜์ ์ธ ์ƒํ™ฉ์— ๋”ฐ๋ผ ์ด๋™์‹œ๊ฐ„์ด ๋‹ฌ๋ผ์ง€๊ธฐ ๋•Œ๋ฌธ์— ์•ฝ์† ์‹œ๊ฐ„์„ ์žก๊ฑฐ๋‚˜ ์Šค์ผ€์ค„์„ ์ •ํ•˜๋Š” ๋ฐ ์žˆ์–ด์„œ ์–ด๋ ค์šด ์ ์ด ๋งŽ๋‹ค. ์ด์— ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” ์ž๋™์ฐจ๋กœ ๊ต์ฐจ๋กœ ํ†ต๊ณผ ์‹œ ๊ตํ†ต ์ •์ฒด ์ •๋„์— ์ƒ๊ด€์—†์ด ์ด๋™ ์‹œ๊ฐ„์˜ ์˜ˆ์ธก ๊ฐ€๋Šฅ์„ฑ์„ ๋†’์ผ ์ˆ˜ ์žˆ๋Š” ์‹œ์Šคํ…œ์„ ์ œ์‹œํ•˜๊ณ ์ž ํ•œ๋‹ค. ํ˜„์žฌ ์—”์ง„๊ณผ ์ „๊ธฐ๋ชจํ„ฐ๋ฅผ ํ•จ๊ป˜ ์“ฐ๋Š” ํ•˜์ด๋ธŒ๋ฆฌ๋“œ ์ž๋™์ฐจ๊ฐ€ ์ด๋ฏธ ์ƒ์šฉํ™”๋˜์–ด ์žˆ๋Š” ์ƒํƒœ์ด๊ณ , ์ˆœ์ˆ˜ํ•œ ์ „๊ธฐ์ž๋™์ฐจ๋„ ์‹œ๋ฒ” ์šดํ–‰๋˜๊ณ  ์žˆ๋Š” ์ƒํ™ฉ์ด๋‹ค. ํ™”์„์—ฐ๋ฃŒ๋ฅผ ์‚ฌ์šฉํ•˜๋Š” ์ž๋™์ฐจ์—์„œ ์ „๊ธฐ์ฐจ๋กœ ๋ฐœ์ „ํ•ด์•ผ ํ•˜๋Š” ๋‹น์œ„์„ฑ์€ ๋ฐ”๋กœ ์ตœ๊ทผ์— ํ™”๋‘๋กœ ๋– ์˜ค๋ฅด๋Š” ์ง€์†๊ฐ€๋Šฅ๋ฐœ์ „๊ณผ ๋…น์ƒ‰์„ฑ์žฅ ๋ฌธ์ œ๋กœ ๊ท€๊ฒฐ๋œ๋‹ค. ์„์œ  ์ž์› ๊ณ ๊ฐˆ๊ณผ ์˜จ์‹ค๊ฐ€์Šค๋กœ ์ธํ•œ ํ™˜๊ฒฝ๋ฌธ์ œ ๋“ฑ์„ ์ด์œ ๋กœ ์•ž์œผ๋กœ ์ „๊ธฐ์ž๋™์ฐจ ๊ฐœ๋ฐœ์ด ๋”์šฑ ํ™œ์„ฑํ™”๋  ์˜ˆ์ •์ด๋‹ค. ์ด์™€ ๋ณ„๊ฐœ๋กœ ๋ฌด์ธ ์šดํ–‰ ์ž๋™์ฐจ์— ๋Œ€ํ•œ ์—ฐ๊ตฌ๋„ ์ง„ํ–‰๋˜๊ณ  ์žˆ๊ณ  2010๋…„ Vislab์—์„œ 13,000km ๋ฌด์ธ ์ž๋™์ฐจ ์šดํ–‰์„ ์„ฑ๊ณต์ ์œผ๋กœ ๋งˆ์นœ๋ฐ” ์žˆ๋‹ค. ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” ์ „๊ธฐ์ž๋™์ฐจ๋ฅผ ์œ„ํ•œ ์ธํ”„๋ผ์™€ ๋ฌด์ธ ์šดํ–‰ ์ž๋™์ฐจ ์‹œ์Šคํ…œ์ด ๊ตฌ์ถ•๋˜์–ด ์žˆ๋‹ค๊ณ  ๊ฐ€์ •ํ•˜๊ณ  ๊ต์ฐจ๋กœ์˜ ๊ตํ†ต์„ ํ†ต์ œํ•˜๋Š” ์‹œ๋ฎฌ๋ ˆ์ดํ„ฐ๋ฅผ ์ž‘์„ฑํ•˜๊ณ  ๊ทธ ๊ฒฐ๊ณผ๋ฅผ ๋ถ„์„ํ•ด๋ณด๊ณ ์ž ํ•œ๋‹ค. ์ฒซ ๋ฒˆ์งธ ๋ฐฉ์‹์€ IEEE 802.11 DCF/PCF์˜ ๊ธฐ๋ณธ์›๋ฆฌ๋ฅผ ์ด์šฉํ•˜์—ฌ ์ „์ฒด ์ฃผ๊ธฐ๊ตฌ๊ฐ„์„ ๊ฒฝ์Ÿ/๋น„๊ฒฝ์Ÿ ๊ตฌ๊ฐ„์œผ๋กœ ๋‚˜๋ˆ ์„œ ๊ฒฝ์Ÿ ๊ตฌ๊ฐ„์—์„œ๋Š” ๊ตํ†ต์ •์ฒด๊ฐ€ ๋งŽ์ด ๋˜์–ด์žˆ๋Š” ์ฐจ์„ ์— ์šฐ์„ ๊ถŒ์„ ์ค˜์„œ ์ „์ฒด ๊ตํ†ต ํ๋ฆ„์˜ ํšจ์œจ์„ฑ์„ ์ œ๊ณ ํ•˜๊ณ , ๋น„๊ฒฝ์Ÿ ๊ตฌ๊ฐ„์—์„œ๋Š” ์‚ฌ์šฉ์ž๊ฐ„์— ๋ฒˆ๊ฐˆ์•„ ๊ฐ€๋ฉด์„œ ๊ฐ€๋„๋ก ๊ท ์ผํ•˜๊ฒŒ ๊ธฐํšŒ๋ฅผ ์ œ๊ณตํ•˜์—ฌ ๊ณตํ‰์„ฑ์„ ๋†’์ด๋„๋ก ๊ณ ์•ˆํ•˜์˜€๋‹ค. ๋‘ ๋ฒˆ์งธ ๋ฐฉ์‹์€ ๋Œ€๊ธฐ์ด๋ก (Queueing Theory)์„ ๊ตํ†ต์‹œ์Šคํ…œ์— ์ ์šฉํ•˜์—ฌ ๋Œ€๊ธฐํ–‰๋ ฌ์˜ ํฌ๊ธฐ์— ๋”ฐ๋ผ ์„œ๋น„์Šค์œจ(Service Rate)์„ ๋ฐ”๊ฟ”์ฃผ๊ณ  Proportional Fair ์Šค์ผ€์ค„๋ง ์•Œ๊ณ ๋ฆฌ์ฆ˜์„ ์ ์šฉํ•˜๋Š” ๋ฐฉ๋ฒ•์„ ํƒํ–ˆ๋‹ค. ์ œ์•ˆ๋œ ๋ฐฉ๋ฒ•์„ ์‹ค์ œ ๊ตํ†ต์‹œ์Šคํ…œ์— ์ ์šฉํ•œ๋‹ค๋ฉด ๋Œ€๋„์‹œ ํ™˜๊ฒฝ์—์„œ ๋„๋กœ์—์„œ ์†Œ์š”๋˜๋Š” ์‹œ๊ฐ„์„ ์ค„์ผ ์ˆ˜ ์žˆ๊ณ  ๊ตํ†ต์ •์ฒด ์ •๋„์— ์ƒ๊ด€์—†์ด ์ถœํ‡ด๊ทผํ•˜๋Š”๋ฐ ๊ฑธ๋ฆฌ๋Š” ์‹œ๊ฐ„์ด ์˜ˆ์ธก ๊ฐ€๋Šฅํ•ด์ ธ์„œ ์ „์ฒด ๊ตํ†ต์‹œ์Šคํ…œ ๊ฐœ์„ ์— ๋„์›€์ด ๋  ๊ฒƒ์ด๋ผ ๊ธฐ๋Œ€๋œ๋‹ค.Maste
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