28 research outputs found

    2020๋…„ ์—ฌ๋ฆ„ ์ด์ƒ๊ธฐํ›„ํ˜„์ƒ์„ ๋‹ค๋ฃฌ ๋„ค์ด๋ฒ„๋‰ด์Šค์™€ ๋Œ“๊ธ€์„ ์ค‘์‹ฌ์œผ๋กœ

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    The extreme weather event, which has been occurring steadily at all over the world, is an event in which individuals "feel" the climate crisis, and plays an important role in recognizing the dangers of the climate crisis. However, recognizing the dangers of the climate crisis is not directly linked to individuals' actions to adapt to and mitigate climate change, requiring empirical research on climate crisis response consciousness. Perception of climate crisis risk is influenced by what type of news and media individuals encounter, and this study examines the sense of climate crisis response formed and distributed online by analyzing Internet portal news and comments on the news. The time range of the study was in the summer of 2020, when a series of typhoons caused a lot of damage to the society, and the spatial scope was among the "Naver News" articles from (Korean portal site so-called) "Naver", and the corresponding articles and comments were collected through web crawling using the computer language Python. In the case of articles, articles dealing with only phenomena itself, extreme climate event, and even climate crises were collected and analyzed by topic, media, and contents between the bundles of articles. Among them, 745 articles containing keywords from phenomenon to climate crisis were categorized into 26 types of small topic and 4 big topics through topic modeling. In addition, 26986 comments were classified into 10 categories through several coding by this researcher, and correlation analyses were conducted to determine which topics and "soluble responses" were related. According to the study, 248 cases (34%) of "phenomenon topic", 231 cases (31%) of "diagnosis topic" and 236 cases (32%) of "solution topic" were found to be relatively equal in the case of articles. Among the comments related to the climate crisis, 6,342 cases (24%) were "solution-type responses", followed by 1,578 cases (6%) of "exclution-type response" and 499 cases (2%) of "lethargy-type response". In addition, there were 14,042 (52%) "political responses" unrelated to the climate crisis, more than the total number of comments related to the climate crisis. The correlation analysis found that both the โ€œphenomenon topicโ€ and the โ€œsolution topicโ€ had significant correlations with all the โ€œsolution-type responsesโ€, and only less than half of the total small topic having significant positive/negative correlations. In particular, through the analysis of the small topics, this study found that Korean internet news users were more sensitive to extreme weather events abroad than to extreme weather events in Korea, and found some points that the media should pay attention to when it deals with information about climate crisis policies. This study is meaningful in that it looked at the consciousness of climate crisis response, which is formed during the experience of the actual event of abnormal weather phenomena as a result of the climate crisis, rather than a superficial response to the concept of climate crisis. However, this study is conducted in the field of climate crisis communication research for the first time and has limitations, requiring more diverse and precise follow-up studies in the future.๊ตญ๋‚ด์™ธ๋กœ ๊พธ์ค€ํžˆ ์ผ์–ด๋‚˜๊ณ  ์žˆ๋Š” ์ด์ƒ๊ธฐํ›„ํ˜„์ƒ์€ ๊ฐœ์ธ์ด ๊ธฐํ›„์œ„๊ธฐ๋ฅผ ๋ชธ์†Œ โ€˜์ฒด๊ฐโ€™ํ•˜๋Š” ์‚ฌ๊ฑด์œผ๋กœ, ๊ธฐํ›„์œ„๊ธฐ์˜ ์œ„ํ—˜์„ฑ์„ ์ธ์ง€ํ•˜๋Š” ๋ฐ ์ค‘์š”ํ•œ ์—ญํ• ์„ ํ•œ๋‹ค. ํ•˜์ง€๋งŒ ๊ธฐํ›„์œ„๊ธฐ์˜ ์œ„ํ—˜์„ฑ์„ ์ธ์ง€ํ•˜๋Š” ๊ฒƒ์ด ๊ฐœ์ธ์˜ ๊ธฐํ›„๋ณ€ํ™” ์ ์‘ ๋ฐ ์™„ํ™”๋ฅผ ์œ„ํ•œ ํ–‰๋™์œผ๋กœ ์ง๊ฒฐ๋˜์ง€๋Š” ์•Š์•„ ๊ธฐํ›„์œ„๊ธฐ ๋Œ€์‘์˜์‹์— ๋Œ€ํ•œ ์‹ค์ฆ์—ฐ๊ตฌ๊ฐ€ ํ•„์š”ํ•œ ์‹ค์ •์ด๋‹ค. ๊ธฐํ›„์œ„๊ธฐ ์œ„ํ—˜์— ๋Œ€ํ•œ ์ธ์‹์€ ๊ฐœ์ธ์ด ์–ด๋–ค ํ˜•ํƒœ์˜ ๋‰ด์Šค, ๋ฏธ๋””์–ด๋ฅผ ์ ‘ํ•˜๋Š”์ง€์— ๋”ฐ๋ผ ์˜ํ–ฅ์„ ๋ฐ›๋Š”๋ฐ, ์ด์— ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ๋‰ด์Šค ์ „๋‹ฌ์˜ ์ฃผ๋œ ๋งค์ฒด์ธ ์ธํ„ฐ๋„ท ํฌํ„ธ ๋‰ด์Šค์™€ ํ•ด๋‹น ๋‰ด์Šค์— ๋‹ฌ๋ฆฐ ๋Œ“๊ธ€๋“ค์„ ๋ถ„์„๋Œ€์ƒ์œผ๋กœ ์‚ผ์•„ ์˜จ๋ผ์ธ ๊ณต๊ฐ„์ƒ์—์„œ ํ˜•์„ฑยท์œ ํ†ต๋˜๋Š” ๊ธฐํ›„์œ„๊ธฐ ๋Œ€์‘์˜์‹์„ ์‚ดํŽด๋ณด์•˜๋‹ค. ์—ฐ๊ตฌ์˜ ์‹œ๊ฐ„์  ๋ฒ”์œ„๋Š” ๊ธด ์žฅ๋งˆ์™€ ์—ฐ์†๋œ ํƒœํ’์œผ๋กœ ์ธํ•ด ํ”ผํ•ด๊ฐ€ ๋งŽ์ด ๋ฐœ์ƒํ•œ 2020๋…„ ์—ฌ๋ฆ„์œผ๋กœ, ๊ณต๊ฐ„์  ๋ฒ”์œ„๋Š” ํฌํ„ธ โ€˜๋„ค์ด๋ฒ„โ€™์—์„œ ๊ฒ€์ƒ‰๋˜๋Š” ๊ธฐ์‚ฌ ์ค‘ โ€˜๋„ค์ด๋ฒ„ ๋‰ด์Šคโ€™๋กœ ํ•˜๋ฉฐ, ์ปดํ“จํ„ฐ์–ธ์–ด ํŒŒ์ด์ฌ์„ ํ™œ์šฉํ•œ ์›นํฌ๋กค๋ง์œผ๋กœ ์ด์— ํ•ด๋‹นํ•˜๋Š” ๊ธฐ์‚ฌ์™€ ๋Œ“๊ธ€์„ ์ „์ˆ˜ ์ˆ˜์ง‘ํ•˜์˜€๋‹ค. ๊ธฐ์‚ฌ์˜ ๊ฒฝ์šฐ ๊ฒ€์ƒ‰ ํ‚ค์›Œ๋“œ์— ์ฐจ์ด๋ฅผ ๋‘์–ด ์œ ๋‚œํžˆ ๊ธด ์žฅ๋งˆ์™€ ์žฆ์€ ํƒœํ’์— ๋Œ€ํ•ด ์–ด๋–ค ํ•ด์„ ์—†์ด ํ˜„์ƒ ์ž์ฒด๋กœ๋งŒ ๋‹ค๋ฃฌ ๊ธฐ์‚ฌ๋ถ€ํ„ฐ ์ด๋ฅผ ์ด์ƒ๊ธฐํ›„ํ˜„์ƒ์œผ๋กœ ํ•ด์„ํ•œ ๊ธฐ์‚ฌ, ๋‚˜์•„๊ฐ€ ๊ธฐํ›„์œ„๊ธฐ๋กœ ํ•ด์„ํ•œ ๊ธฐ์‚ฌ๊นŒ์ง€ ๊ฐ๊ฐ ์ˆ˜์ง‘ํ•˜์—ฌ ํ•ด๋‹น ๊ธฐ์‚ฌ๋ฌถ์Œ ๊ฐ„ ์ฃผ์ œ๋ณ„, ์–ธ๋ก ์‚ฌ๋ณ„, ๋‚ด์šฉ๋ณ„๋กœ ๋ถ„์„ํ•˜์˜€๋‹ค. ๊ทธ ์ค‘ ํ˜„์ƒ๋ถ€ํ„ฐ ๊ธฐํ›„์œ„๊ธฐ๊นŒ์ง€์˜ ํ‚ค์›Œ๋“œ๊ฐ€ ๋ชจ๋‘ ํฌํ•จ๋œ ๊ธฐ์‚ฌ 745๊ฑด์„ ํ† ํ”ฝ๋ชจ๋ธ๋ง์„ ํ†ตํ•ด 26๊ฐœ ์œ ํ˜•์˜ ์†Œํ† ํ”ฝ, 4๊ฐœ ์œ ํ˜•์˜ ๋Œ€ํ† ํ”ฝ์œผ๋กœ ๋ถ„๋ฅ˜ํ•˜์˜€๋‹ค. ๋˜ํ•œ 26986๊ฐœ์˜ ๋Œ“๊ธ€์„ ์—ฐ๊ตฌ์ž๊ฐ€ ์ˆ˜ ์ฐจ๋ก€ ์ฝ”๋”ฉ์„ ํ†ตํ•ด 10๊ฐœ ์œ ๋ชฉ์œผ๋กœ ๋ถ„๋ฅ˜ํ•˜์˜€๊ณ , ์–ด๋–ค ํ† ํ”ฝ๊ณผ โ€˜ํ•ด๊ฒฐํ˜• ๋ฐ˜์‘โ€™๊ณผ ๊ด€๊ณ„๊ฐ€ ์žˆ๋Š”์ง€๋ฅผ ํ”ผ์–ด์Šจ ์ƒ๊ด€๊ด€๊ณ„ ๋ถ„์„์„ ํ†ตํ•ด ์‚ดํŽด๋ณด์•˜๋‹ค. ์—ฐ๊ตฌ ๊ฒฐ๊ณผ, ๊ธฐ์‚ฌ์˜ ๊ฒฝ์šฐ โ€˜ํ˜„์ƒ ํ† ํ”ฝโ€™, โ€˜์ง„๋‹จ ํ† ํ”ฝโ€™, โ€˜ํ•ด๋ฒ• ํ† ํ”ฝโ€™์ด ๊ฐ๊ฐ ์ „์ฒด์˜ 248๊ฑด(34%), 231๊ฑด(31%), 236๊ฑด(32%)์œผ๋กœ ๋น„๊ต์  ๊ท ๋“ฑํ•˜๊ฒŒ ๋ฐœ๊ฒฌ๋˜์—ˆ๊ณ , ๋Œ“๊ธ€์˜ ๊ฒฝ์šฐ ๊ธฐํ›„์œ„๊ธฐ์™€ ๊ด€๋ จ์žˆ๋Š” ๋Œ“๊ธ€ ์ค‘์—๋Š” โ€˜ํ•ด๊ฒฐํ˜• ๋ฐ˜์‘โ€™์ด 6342๊ฑด(24%)์œผ๋กœ ๊ฐ€์žฅ ๋งŽ์•˜์œผ๋ฉฐ โ€˜๋ฐฐ์ œํ˜• ๋ฐ˜์‘โ€™์ด 1578๊ฑด(6%), โ€˜๋ฌด๊ธฐ๋ ฅ ๋ฐ˜์‘โ€™์ด 499๊ฑด(2%)์œผ๋กœ ๊ทธ ๋’ค๋ฅผ ์ด์—ˆ๋‹ค. ์•„์šธ๋Ÿฌ, ๊ธฐํ›„์œ„๊ธฐ์™€ ๊ด€๋ จ์ด ์—†๋Š” ์ •์น˜์  ๋ฐ˜์‘์ด 14042๊ฑด(52%)์œผ๋กœ ๊ธฐํ›„์œ„๊ธฐ ๊ด€๋ จ ๋Œ“๊ธ€(โ€˜๋ฌด๊ธฐ๋ ฅ ๋ฐ˜์‘โ€™, โ€˜๋ฐฐ์ œํ˜• ๋ฐ˜์‘โ€™ ํฌํ•จ)์˜ ์ดํ•ฉ๋ณด๋‹ค๋„ ๋งŽ์•˜๋‹ค. ์ƒ๊ด€๊ด€๊ณ„ ๋ถ„์„ ๊ฒฐ๊ณผ, ๋Œ€ํ† ํ”ฝ ์ค‘ ํ˜„์ƒ ํ† ํ”ฝ๊ณผ ํ•ด๋ฒ• ํ† ํ”ฝ ๋ชจ๋‘ ๋ชจ๋“  ํ•ด๊ฒฐํ˜• ๋ฐ˜์‘๊ณผ ์œ ์˜๋ฏธํ•œ ์ƒ๊ด€๊ด€๊ณ„๋ฅผ ๊ฐ€์ง€๊ณ  ์žˆ์—ˆ์œผ๋ฉฐ, ์ „์ฒด ์†Œํ† ํ”ฝ ์ค‘ ์ ˆ๋ฐ˜ ์ดํ•˜๋งŒ์ด ์œ ์˜๋ฏธํ•œ ์–‘์ /์Œ์  ์ƒ๊ด€๊ด€๊ณ„๋ฅผ ๋ณด์˜€๋‹ค. ํŠนํžˆ ์†Œํ† ํ”ฝ ๋ถ„์„์„ ํ†ตํ•ด ์šฐ๋ฆฌ๋‚˜๋ผ์˜ ์ด์ƒ๊ธฐํ›„ํ˜„์ƒ๋ณด๋‹ค ํ•ด์™ธ์˜ ์ด์ƒ๊ธฐํ›„ํ˜„์ƒ์— ๋ฏผ๊ฐํžˆ ์—ฌ๊ธฐ๋Š” ๊ฒƒ์„ ๋ฐœ๊ฒฌํ•  ์ˆ˜ ์žˆ์—ˆ๊ณ , ๊ธฐํ›„์œ„๊ธฐ ์ •์ฑ… ๋ณด๋„์™€ ๊ด€๋ จํ•˜์—ฌ ์–ธ๋ก ์ด ์œ ์˜ํ•ด์•ผ ํ•  ์ง€์ ์„ ์ฐพ์•„๋ณผ ์ˆ˜ ์žˆ์—ˆ๋‹ค. ์ด ์—ฐ๊ตฌ๋Š” ๊ธฐํ›„์œ„๊ธฐ๊ฐ€ ๊ตฌ์ฒด์  ์‚ฌ๊ฑด์œผ๋กœ ๋“œ๋Ÿฌ๋‚œ 2020๋…„์˜ ์ด์ƒ๊ธฐํ›„ํ˜„์ƒ์— ๋Œ€ํ•œ ๋ณด๋„๊ธฐ์‚ฌ๋งŒ์ด ์•„๋‹ˆ๋ผ ๊ทธ์— ๋Œ€ํ•œ ์‹œ๋ฏผ ๋ฐ˜์‘์ธ ๋Œ“๊ธ€์— ๋Œ€ํ•œ ๋ถ„์„์„ ํ†ตํ•ด ๊ธฐํ›„์œ„๊ธฐ๋ผ๋Š” ๊ฐœ๋…์— ๋Œ€ํ•œ ํ”ผ์ƒ์  ๋ฐ˜์‘์ด ์•„๋‹ˆ๋ผ ๊ธฐํ›„์œ„๊ธฐ์˜ ๊ฒฐ๊ณผ์ธ ์ด์ƒ๊ธฐํ›„ํ˜„์ƒ์ด๋ผ๋Š” ์‹ค์ œ ์‚ฌ๊ฑด ์ฒดํ—˜์„ ํ†ตํ•ด ํ˜•์„ฑ๋˜๋Š” ๊ธฐํ›„์œ„๊ธฐ ๋Œ€์‘์˜์‹์„ ์‚ดํŽด๋ดค๋‹ค๋Š” ์ ์—์„œ ์˜์˜๋ฅผ ๊ฐ–๋Š”๋‹ค. ๋‹ค๋งŒ, ์ด ์—ฐ๊ตฌ ๋ฐฉ๋ฒ•์€ ๊ธฐํ›„์œ„๊ธฐ ์ปค๋ฎค๋‹ˆ์ผ€์ด์…˜ ์—ฐ๊ตฌ๋ถ„์•ผ์—์„œ ์ฒ˜์Œ ์‹œ๋„ํ•ด๋ณด๋Š” ๊ฒƒ์ด๊ธฐ ๋•Œ๋ฌธ์—, ์ถ”ํ›„ ๋ณด๋‹ค ๋‹ค์–‘ํ•˜๊ณ  ์ •๋ฐ€ํ•œ ํ›„์† ์—ฐ๊ตฌ๋ฅผ ํ•„์š”๋กœ ํ•œ๋‹ค.โ… . ์„œ๋ก  1 1. ์—ฐ๊ตฌ์˜ ๋ฐฐ๊ฒฝ 1 2. ์—ฐ๊ตฌ๋ชฉ์  5 โ…ก. ๋…ผ์˜์˜ ๋ฐฐ๊ฒฝ ๋ฐ ์„ ํ–‰์—ฐ๊ตฌ ๊ฒ€ํ†  8 1. ๋…ผ์˜์˜ ๋ฐฐ๊ฒฝ 8 1) 2020๋…„ ์—ฌ๋ฆ„ ์ด์ƒ๊ธฐํ›„ํ˜„์ƒ 8 2) ์ธํ„ฐ๋„ท ์‹ ๋ฌธ ํฌํ„ธ ๋‰ด์Šค 13 3) ๋Œ“๊ธ€ 16 2. ์„ ํ–‰์—ฐ๊ตฌ ๊ฒ€ํ†  19 1) ํ”„๋ ˆ์ž„ ๋ถ„์„ 19 2) ๋‚ด์šฉ๋ถ„์„ ์„ ํ–‰์—ฐ๊ตฌ 20 3) ๊ธฐํƒ€ ์—ฐ๊ตฌ๋ฐฉ๋ฒ• ์‚ฌ์šฉ ์„ ํ–‰์—ฐ๊ตฌ 21 โ…ข. ์—ฐ๊ตฌ๋ฐฉ๋ฒ• 24 1. ์ž๋ฃŒ์ˆ˜์ง‘ 24 2. ์กฐ์ž‘ํ™” ๋ฐ ์ธก์ • 27 1) ๊ธฐ์‚ฌ ๊ธฐ์ดˆ ์กฐ์‚ฌ 30 2) ๊ธฐ์‚ฌ ํ”„๋ ˆ์ž„ 34 3) ํ† ํ”ฝ ๋ชจ๋ธ๋ง 39 4) ๋Œ“๊ธ€ 46 โ…ฃ. ์—ฐ๊ตฌ๊ฒฐ๊ณผ 75 1. ๊ธฐ์ˆ ํ†ต๊ณ„ 75 1) ๊ฒ€์ƒ‰ ํ‚ค์›Œ๋“œ ๋ณ„ ๊ธฐ์‚ฌ ๊ธฐ์ˆ ํ†ต๊ณ„ ๋ถ„์„ 75 2) '๊ธฐํ›„๋ณ€ํ™”,๊ธฐํ›„์œ„๊ธฐ,์ง€๊ตฌ์˜จ๋‚œํ™”' ๊ธฐ์‚ฌ ๊ธฐ์ˆ ํ†ต๊ณ„ ๋ถ„์„ 80 3) ๋Œ“๊ธ€ ๊ธฐ์ˆ ํ†ต๊ณ„ ๋ถ„์„ 89 2. ์ƒ๊ด€๋ถ„์„ 92 1) ๋Œ€ํ† ํ”ฝ๊ณผ ํ•ด๊ฒฐํ˜• ๋ฐ˜์‘ 93 2) ์†Œํ† ํ”ฝ๊ณผ ํ•ด๊ฒฐํ˜• ๋ฐ˜์‘ 94 โ…ค. ๊ฒฐ๋ก  100 1. ๋…ผ์˜ 100 2. ์—ฐ๊ตฌ์˜ ์˜์˜ ๋ฐ ํ•œ๊ณ„์™€ ํ–ฅํ›„ ์—ฐ๊ตฌ๊ณผ์ œ 105 ์ฐธ๊ณ ๋ฌธํ—Œ 107 [๋ถ€๋ก1] ์ž๋ฃŒ์ˆ˜์ง‘ Python ์ฝ”๋“œ 115 [๋ถ€๋ก2] ํ† ํ”ฝ๋ชจ๋ธ๋ง ์ฒจ๊ฐ€์–ด, ๋ถˆ์šฉ์–ด 137 Abstract 140์„

    A Study on the Derivation of Major Cargo Influencing Fine Dust in a Port:Focused on the Major Cargos Handled in Busan Gamcheon Port

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    The increasing air pollution from the ports has tightened the environmental regulations on bulk ports including the container ports. So advanced ports have been tried to reduce fine dust generated by operation. However, The responds of Busan Port are late compared to other advanced ports. So far, efforts have been made on politics and system areas to monitor and manage the port air pollution. The air quality improvement including port areas will be implemented starting 2020. People near the Gamcheon Port, where mainly handles the bulk cargoes in Busan Port, are damaged by fine dust from the port leading to endless conflict between Gamcheon port and people. Therefore, considering the seasonal weather conditions, this research analyzes the correlation between cargo throughput in Gamcheon port and the density of fine dust in adjacent area. Furthermore, It investigates the main cargoes generating the fine dust by ruling out the seasonal factors.์ œ 1 ์žฅ ์„œ ๋ก  1 1.1. ์—ฐ๊ตฌ์˜ ๋ฐฐ๊ฒฝ ๋ฐ ๋ชฉ์  1 1.2. ์—ฐ๊ตฌ์˜ ์ ˆ์ฐจ ๋ฐ ๋ฐฉ๋ฒ• 3 ์ œ 2 ์žฅ ์„ ํ–‰์—ฐ๊ตฌ ๊ฒ€ํ†  5 2.1. ๋ฏธ์„ธ๋จผ์ง€์˜ ์ •์˜ 5 2.2. ํ•ญ๋งŒ๊ณผ ๋„์‹œ์˜ ๊ด€๊ณ„ 6 2.3. ์ธ๊ณผ๊ด€๊ณ„ ๊ด€๋ จ์—ฐ๊ตฌ 9 ์ œ 3 ์žฅ ๋ถ„์„๋ฐฉ๋ฒ•๋ก  12 3.1. ์ƒ๊ด€๊ด€๊ณ„๋ถ„์„ 12 3.2. ์ „์ดํ•จ์ˆ˜๋ชจํ˜• 13 ์ œ 4 ์žฅ ๊ฐ์ฒœํ•ญ ์šด์˜ํ˜„ํ™ฉ ๋ฐ ๋ฏธ์„ธ๋จผ์ง€ ๋ฐฐ์ถœํ˜„ํ™ฉ 15 4.1. ๊ฐ์ฒœํ•ญ ์šด์˜ํ˜„ํ™ฉ 15 4.2. ๊ฐ์ฒœํ•ญ ์ธ๊ทผ์ง€์—ญ ๋ฏธ์„ธ๋จผ์ง€ ๋ฐฐ์ถœํ˜„ํ™ฉ 19 ์ œ 5 ์žฅ ์‹ค์ฆ๋ถ„์„ 21 5.1. ๋ฏธ์„ธ๋จผ์ง€์™€ ํ•ญ๋งŒ ๊ธฐํ›„ํ™˜๊ฒฝ ๊ฐ„ ์ƒ๊ด€๊ด€๊ณ„ 21 5.2. ๋ฏธ์„ธ๋จผ์ง€์™€ ์ฃผ์š”์ฒ˜๋ฆฌ ํ™”๋ฌผ ๊ฐ„ ์ƒ๊ด€๊ด€๊ณ„ 25 5.3. ๋ฏธ์„ธ๋จผ์ง€์™€ ์ฃผ์š”์ฒ˜๋ฆฌ ํ™”๋ฌผ ๊ฐ„ ์ธ๊ณผ๊ด€๊ณ„ 27 5.4. ๋ฏธ์„ธ๋จผ์ง€ ์ž…์žํฌ๊ธฐ์— ๋”ฐ๋ฅธ ์ธ๊ณผ๊ด€๊ณ„ 36 5.5. ๋ถ„์„๊ฒฐ๊ณผ์š”์•ฝ 43 ์ œ 6 ์žฅ ๊ฒฐ๋ก  ๋ฐ ํ–ฅํ›„ ์—ฐ๊ตฌ๋ฐฉํ–ฅ 45 6.1. ๊ฒฐ๋ก  ๋ฐ ์‹œ์‚ฌ์  45 6.2. ์—ฐ๊ตฌ์˜ ํ•œ๊ณ„ ๋ฐ ํ–ฅํ›„ ์—ฐ๊ตฌ๋ฐฉํ–ฅ 46 ์ฐธ๊ณ ๋ฌธํ—Œ 47Maste

    A study on the Characteristics of Urban Agriculture in Seoul and the Perception of Participants through Text Mining

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต๋Œ€ํ•™์› : ํ™˜๊ฒฝ๋Œ€ํ•™์› ํ™˜๊ฒฝ์กฐ๊ฒฝํ•™๊ณผ, 2023. 2. ์†์šฉํ›ˆ.๋„์‹œ๋†์—…์€ ๋„์‹œ์˜ ์—ฌ๋Ÿฌ ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•˜๊ธฐ ์œ„ํ•œ ํ•œ ๋ฐฉ๋ฒ•์œผ๋กœ ๊ด€์‹ฌ๋ฐ›๊ณ  ์žˆ๋‹ค. ๋‹ค์–‘ํ•œ ์‚ฌํšŒ์  ๊ฐ€์น˜์™€ ์ด์ ์„ ์ง€๋‹Œ ๋„์‹œ๋†์—…์ด ํ™œ์„ฑํ™”๋˜๊ธฐ ์œ„ํ•ด์„œ๋Š” ์ฐธ์—ฌ์ž์˜ ๊ด€์‹ฌ์ด ํ•„์š”ํ•˜๋ฉฐ, ์ด๋ฅผ ์œ„ํ•œ ๋„์‹œ๋†์—… ์ฐธ์—ฌ์ž์˜ ์ธ์‹์— ๊ด€ํ•œ ์—ฐ๊ตฌ๊ฐ€ ์„ ํ–‰๋˜์–ด์•ผ ํ•œ๋‹ค. ์ตœ๊ทผ ํ•™๊ณ„์—์„œ ๋†์—…, ๊ณต์›๊ณผ ๊ฐ™์ด ํŠน์ • ์ฃผ์ œ์™€ ๊ณต๊ฐ„์— ๋Œ€ํ•œ ์‚ฌํšŒ์  ์ธ์‹์„ ํ™•์ธํ•˜๊ธฐ ์œ„ํ•ด ํ…์ŠคํŠธ ๋งˆ์ด๋‹์„ ํ™œ์šฉํ•˜๊ณ  ์žˆ์ง€๋งŒ, ๋„์‹œ๋†์—…์„ ์ฃผ์ œ๋กœ ํ•œ ํ…์ŠคํŠธ ๋งˆ์ด๋‹์€ ์•„์ง ์ด๋ค„์ง€์ง€ ์•Š์•˜๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ํ…์ŠคํŠธ ๋งˆ์ด๋‹์˜ ํ•œ ๊ธฐ๋ฒ•์ธ LDA(์ž ์žฌ ๋””๋ฆฌํด๋ ˆํ• ๋‹น, Latent Dirichlet allocation, LDA)์˜ ๊ธฐ๊ณ„์  ์•Œ๊ณ ๋ฆฌ์ฆ˜์„ ์ด์šฉํ•ด, ์—ฐ๊ตฌ์ž์˜ ์ฃผ๊ด€์— ํŽธํ–ฅ๋  ์ˆ˜ ์žˆ๋Š” ์งˆ์  ์—ฐ๊ตฌ์˜ ๋‹จ์ ์„ ๋ณด์™„ํ•˜๊ณ ์ž ํ–ˆ๋‹ค. ์„œ์šธ์‹œ ๋„์‹œํ…ƒ๋ฐญ์„ ํ‚ค์›Œ๋“œ๋กœ ํ•˜์—ฌ, 2018๋…„๋ถ€ํ„ฐ 2022๋…„ 6์›”๊นŒ์ง€์˜ ๋„ค์ด๋ฒ„ ๋ธ”๋กœ๊ทธ ๋ฐ์ดํ„ฐ๋ฅผ ํฌ๋กค๋งํ•˜๊ณ  LDA ํ† ํ”ฝ ๋ถ„์„์„ ์ง„ํ–‰ํ–ˆ๋‹ค. LDA ํ† ํ”ฝ ๋ถ„์„์€ ์ด 3์ฐจ์— ๊ฑธ์ณ ์ง„ํ–‰๋˜์—ˆ๋‹ค. 1์ฐจ์—์„œ ๋ถˆํ•„์š”ํ•œ ํ† ํ”ฝ์œผ๋กœ ํŒ๋‹จ๋œ ๋ฌธ์„œ๋“ค์„ ์ œ์™ธํ•˜๊ณ  2์ฐจ ํ† ํ”ฝ ๋ถ„๋ฅ˜๋ฅผ ์ง„ํ–‰ํ•˜์˜€๊ณ , ๊ฐ๊ฐ์˜ ํ† ํ”ฝ์— ๋Œ€ํ•œ 3์ฐจ LDA ๋ถ„์„์„ ์‹คํ–‰ํ–ˆ๋‹ค. ํ† ํ”ฝ ๋ถ„์„ ๊ฒฐ๊ณผ, ์„œ์šธ์‹œ ๋„์‹œ๋†์—…์˜ ์ด์šฉ ํŠน์„ฑ์€ ๊ณต๊ฐ„, ํ–‰์‚ฌ ๋ฐ ํ”„๋กœ๊ทธ๋žจ, ๋ฌธํ™” ๋ฐ ์ƒํ™œ ์ธก๋ฉด์—์„œ ๋ถ„๋ฅ˜๊ฐ€ ๊ฐ€๋Šฅํ•œ ๊ฒƒ์„ ํ™•์ธํ•  ์ˆ˜ ์žˆ์—ˆ๋‹ค. ์„œ์šธ์‹œ ๋„์‹œ๋†์—…์ด ์ด๋ค„์ง€๋Š” ์ฃผ์š” ๊ณต๊ฐ„์€, ์ฃผ๊ฑฐ์ง€์—ญ ์ฃผ๋ณ€์˜ ํ…ƒ๋ฐญ, ์˜ฅ์ƒ์ •์›, ์ƒ์žํ…ƒ๋ฐญ, ์ฃผ๋ง๋†์žฅ๊ณผ ์ƒˆ๋กœ์šด ๋„์‹œ๋†์—… ๊ณต๊ฐ„ ์œ ํ˜•์— ํ•ด๋‹นํ•˜๋Š” ์žฅ์†Œ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋„์‹œ๋†์—… ๊ด€๋ จ ํ† ํ”ฝ ๋‚ด์—์„œ 2022 ์„œ์šธ์‹œ ๊ณต์˜ ๋„์‹œํ…ƒ๋ฐญ๋ช…์„ ๋นˆ๋„ ๋ถ„์„ํ–ˆ์„ ๋•Œ ๋‚˜ํƒ€๋‚œ ์ฃผ์š” ๋„์‹œ๋†์—… ๊ณต๊ฐ„์€, ๊ฐ•๊ฐ์ฐฌ ํ…ƒ๋ฐญ, ๊ด€์•…๋„์‹œ๋†์—…๊ณต์›, ๊ฒฝ์ถ˜์„ ์ˆฒ๊ธธ๊ณต์›์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์„œ์šธ์‹œ ๋„์‹œ๋†์—…์˜ ์ฃผ์š” ํ–‰์‚ฌ ๋ฐ ํ”„๋กœ๊ทธ๋žจ์œผ๋กœ๋Š” ๋„์‹œ๋†์—… ๊ต์œก ๋ฐ ์–‘์„ฑ๊ณผ์ • ํ”„๋กœ๊ทธ๋žจ, ๋„์‹œ๋†์—… ๋ฐ•๋žŒํšŒ๊ฐ€ ํ•ด๋‹น๋˜์—ˆ๋‹ค. ๋ฌธํ™” ๋ฐ ์ƒํ™œ ์ธก๋ฉด์—์„œ๋Š” ์•ˆ์ „ํ•œ ๋จน๊ฑฐ๋ฆฌ, ํ…ƒ๋ฐญ ์ž‘๋ฌผ ์ˆ˜ํ™•, ์ƒํ™œ ๊ฒฝ๊ด€ ๋ฐ ๋‚˜๋“ค์ด ์žฅ์†Œ๋กœ์„œ ์„œ์šธ์‹œ ๋„์‹œํ…ƒ๋ฐญ์ด ์ด์šฉ๋˜๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์„œ์šธ์‹œ ๋„์‹œ๋†์—…์˜ ์ด์šฉ ํŠน์„ฑ์œผ๋กœ ๋ถ„๋ฅ˜๋œ ํ† ํ”ฝ ์ค‘ ํ…์ŠคํŠธ๋ฅผ ํ†ตํ•œ ํŒŒ์•…์—์„œ ๋” ๋‚˜์•„๊ฐ€ ์ฐธ์—ฌ์ž์˜ ์ธ์‹์กฐ์‚ฌ๋ฅผ ์œ„ํ•œ ์ถ”๊ฐ€์ ์ธ ํ˜„์žฅ ๊ด€์ฐฐ๊ณผ ์ธํ„ฐ๋ทฐ๊ฐ€ ํ•„์š”ํ•˜๋‹ค๊ณ  ํŒ๋‹จ๋œ ํ•ญ๋ชฉ์€ ์ƒˆ๋กœ์šด ๋„์‹œ๋†์—… ๊ณต๊ฐ„ ์œ ํ˜•, ๋„์‹œ๋†์—… ํ”„๋กœ๊ทธ๋žจ, ๋‚˜๋“ค์ด ์žฅ์†Œ, ์ฃผ๊ฑฐ์ง€์—ญ ๊ทผ์ฒ˜ ํ…ƒ๋ฐญ ์„ธ๋ถ€ํ† ํ”ฝ์ด์—ˆ๋‹ค. ์„œ์šธ์‹œ ์ฃผ์š” ๋„์‹œ๋†์—… ๊ณต๊ฐ„์œผ๋กœ ๋„์ถœ๋œ ๊ฐ•๊ฐ์ฐฌ ํ…ƒ๋ฐญ, ๊ด€์•…๋„์‹œ๋†์—…๊ณต์›, ๊ฒฝ์ถ˜์„ ์ˆฒ๊ธธ๊ณต์›์„ ๋Œ€์ƒ์œผ๋กœ ํ•˜์—ฌ ์„ธ๋ถ€ํ† ํ”ฝ์— ๊ด€ํ•œ ํ˜„์žฅ ๊ด€์ฐฐ๊ณผ ์ธํ„ฐ๋ทฐ๋ฅผ ์ง„ํ–‰ํ•˜์˜€๋‹ค. ๊ด€์•…๋„์‹œ๋†์—…๊ณต์›์€ ์ƒˆ๋กœ์šด ๋„์‹œ๋†์—… ๊ณต๊ฐ„ ์œ ํ˜•, ๊ฐ•๊ฐ์ฐฌ ํ…ƒ๋ฐญ์€ ๋„์‹œ๋†์—… ํ”„๋กœ๊ทธ๋žจ, ๊ฒฝ์ถ˜์„ ์ˆฒ๊ธธ๊ณต์›์€ ๋‚˜๋“ค์ด ์žฅ์†Œ์˜ ๋Œ€์ƒ์ง€๋กœ ์„ ์ •ํ•˜์—ฌ, ์„œ์šธ์‹œ ๋„์‹œ๋†์—…์˜ ์ด์šฉ ํŠน์„ฑ๊ณผ ์ฐธ์—ฌ์ž ์ธ์‹์— ๊ด€ํ•ด ํŒŒ์•…ํ•˜๊ณ ์ž ํ–ˆ๋‹ค. ์„ธ ๋Œ€์ƒ์ง€ ๋ชจ๋‘ ์ฃผ๊ฑฐ์ง€์—ญ ์ฃผ๋ณ€์— ์žˆ๋Š” ๋„์‹œํ…ƒ๋ฐญ์ด๋ผ๋Š” ํŠน์ง•์„ ๊ฐ€์ง€๊ณ  ์žˆ์–ด ์ „์ฒด ์ธํ„ฐ๋ทฐ ๋‚ด์šฉ ์ค‘ ์ฃผ๊ฑฐ์ง€์—ญ ์ฃผ๋ณ€๊ณผ ๊ด€๋ จ์ด ์žˆ๋Š” ๋‚ด์šฉ์„ ํ•ด๋‹น ํ† ํ”ฝ ๋ถ„์„์— ์‚ฌ์šฉํ–ˆ๋‹ค. LDA ๋ถ„์„์—์„œ๋Š” ๋„์‹œ๋†์—… ์ฐธ์—ฌ์ž์˜ ํ˜„ํ™ฉ๊ณผ ๊ด€๋ จ๋œ ์ •๋ณด๋ฅผ ์–ป์„ ์ˆ˜ ์žˆ์—ˆ์œผ๋ฉฐ, ๊ด€์ฐฐ๊ณผ ์ธํ„ฐ๋ทฐ๋ฅผ ์ถ”๊ฐ€ ๋ณ‘ํ–‰ํ•œ ๋ถ„์„์—์„œ๋Š” ๋„์‹œ๋†์—… ๋น„์ฐธ์—ฌ์ž์™€ ์ธํ„ฐ๋„ท ์ ‘๊ทผ์ด ์–ด๋ ค์šด ๊ณ ์—ฐ๋ น์ธต์— ๋Œ€ํ•œ ์ธ์‹์„ ํŒŒ์•…ํ•  ์ˆ˜ ์žˆ์—ˆ๋‹ค. ํ…์ŠคํŠธ ๋งˆ์ด๋‹, ๊ด€์ฐฐ๊ณผ ์ธํ„ฐ๋ทฐ๋ฅผ ์ข…ํ•ฉํ•ด ๋ถ„์„ํ•œ ๊ฒฐ๊ณผ, ์ƒˆ๋กœ์šด ๋„์‹œ๋†์—… ๊ณต๊ฐ„ ์œ ํ˜•์—์„œ๋Š” ๋„์‹œ๋†์—… ๋น„์ฐธ์—ฌ์ž๊ฐ€ ์ด์šฉํ•  ์ˆ˜ ์žˆ๋Š” ๊ณต๊ฐ„์˜ ๋ฉด์ ์ด ๋Š˜์–ด๋‚ ์ˆ˜๋ก ๋น„์ฐธ์—ฌ์ž์˜ ์ง€์†์ ์ธ ๋ฐฉ๋ฌธ์ด ์ด๋ค„์ง€๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ์œผ๋ฉฐ, ํ…ƒ๋ฐญ์˜ ๊ฒฝ๊ด€์„ ๋ฐ”๋ผ๋ณผ ์ˆ˜ ์žˆ๋Š” ์ƒˆ๋กœ์šด ๋„์‹œ๋†์—… ๊ณต๊ฐ„์— ๊ด€ํ•ด ์ฐธ์—ฌ์ž๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ๋น„์ฐธ์—ฌ์ž ๋˜ํ•œ ์„ ํ˜ธํ•˜๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋„์‹œ๋†์—… ํ”„๋กœ๊ทธ๋žจ๊ณผ ๊ด€๋ จํ•˜์—ฌ, ์„œ์šธ์‹œ ๋„์‹œ๋†์—… ํ”„๋กœ๊ทธ๋žจ์ด ์„œ์šธ์‹œ ๊ณต๊ณต์˜ˆ์•ฝ ์‚ฌ์ดํŠธ์—์„œ ์‹ ์ฒญ๊ณผ ์ ‘์ˆ˜๊ฐ€ ์ด๋ค„์ง์— ๋”ฐ๋ผ, ์—ฐ๋ น์ธต์— ๋”ฐ๋ฅธ ํ”„๋กœ๊ทธ๋žจ ์ฐธ์—ฌ์— ๋Œ€ํ•œ ์–ด๋ ค์›€์ด ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋„์‹œ๋†์—… ํ”„๋กœ๊ทธ๋žจ ์ฐธ์—ฌ ์˜์‚ฌ์™€ ๊ด€๋ จํ•˜์—ฌ, ์‹ค๋‚ด์—์„œ ์ด๋ค„์ง€๋Š” ๋„์‹œ๋†์—… ํ”„๋กœ๊ทธ๋žจ๋ณด๋‹ค ๋„์‹œ๋†์—…์˜ ์ƒ์‚ฐํ™œ๋™์„ ์šฐ์„ ํ•˜์—ฌ ์„ ํ˜ธํ•˜๋Š” ๊ฒฝํ–ฅ์ด ๋†’์•„, ์„œ์šธ์‹œ ๋‚ด ์ง€์†์ ์ธ ๋„์‹œ๋†์—… ๊ณต๊ฐ„ ๋งˆ๋ จ์ด ์š”๊ตฌ๋œ๋‹ค. ๋‚˜๋“ค์ด ์žฅ์†Œ๋กœ ํ™œ์šฉ๋˜๋Š” ๋„์‹œ๋†์—… ๊ณต๊ฐ„์˜ ํ† ํ”ฝ์€ ์‹œ๋ฏผ๋“ค์˜ ์ผ์ƒ๊ณผ ์•ˆ์ „ํ•œ ๋จน๊ฑฐ๋ฆฌ ๋ฌธํ™”, ๊ฐ€์กฑ๊ณผ ์ด์›ƒ์ด ํ•จ๊ป˜ ํ•  ์ˆ˜ ์žˆ๋Š” ์—ฌ๊ฐ€ํ™œ๋™์˜ ์žฅ์†Œ๋กœ ์—ฌ๊ฒจ์ง€๋Š” ๊ฒƒ์„ ์˜๋ฏธํ–ˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ๋„์‹œ๋†์—… ์ธ์‹๊ณผ ๊ด€๋ จํ•˜์—ฌ ํ…์ŠคํŠธ ๋งˆ์ด๋‹์„ ์ตœ์ดˆ๋กœ ์‚ฌ์šฉํ–ˆ๋‹ค๋Š” ์ ์—์„œ ์˜์˜๊ฐ€ ์žˆ๊ณ , ์‹ค์ œ ๋„์‹œ๋†์—… ์ฐธ์—ฌ์ž์˜ ์ธ์‹๊ณผ ์ˆ˜์š”๋ฅผ ํ˜„์žฅ ๊ด€์ฐฐ๊ณผ ์ธํ„ฐ๋ทฐ๋ฅผ ํ†ตํ•ด ํŒŒ์•…ํ–ˆ๋‹ค๋Š” ์ธก๋ฉด์—์„œ ์˜์˜๊ฐ€ ์žˆ๋‹ค. ์„œ์šธ์‹œ ๋„์‹œ๋†์—… ๊ณต๊ฐ„๊ณผ ๋ฌธํ™”์˜ ํ™œ์„ฑํ™”๋ฅผ ์œ„ํ•œ ๊ธฐ์ดˆ์ž๋ฃŒ๋กœ ํ™œ์šฉ๋  ์ˆ˜ ์žˆ๊ธฐ๋ฅผ ๋ฐ”๋ž€๋‹ค.Urban agriculture is attracting attention as a way to solve various problems in cities. Urban agriculture has diverse social values and advantages, but it is hard to activate if the participants' interest is not guaranteed. In order to revitalize urban agriculture, research on the perception of urban agricultural participants should be demanded. Recently, Text Mining has been used in academia to confirm social awareness of topics and spaces such as agriculture and parks, but Text Mining on the theme of urban agriculture has not yet been researched. This study attempted to compensate for the shortcomings of qualitative research that may bias the subjectivity of researchers by using the mathematical algorithm of LDA (Latent Dirichlet Allocation , LDA), a technique of Text Mining. Using "Seoul City Farm" as the keyword, NAVER blog data from 2018 to June 2022 was collected and LDA topic analysis was carried out three times. Except for documents judged as unnecessary topics in the first round, the second topic classification was proceeded, and the third LDA analysis was continued for each topic for the second topic classification results. As a result of the topic analysis, it was confirmed that the characteristics of urban agriculture be used in Seoul can be classified in terms of space, events and programs, culture, and life. The main spaces where urban agriculture takes place in Seoul are gardens, rooftop gardens, box gardens, weekend farms, and new urban agricultural space types around residential areas. The main urban agricultural spaces that appeared when analyzing the frequency of the 2022 Seoul public urban garden within urban agriculture-related topics were "Ganggam-chan Urban Farm," "Gwanak Urban Agricultural Park," and "Gyeongchun Line Forest Trail Park." Major events and programs of urban agriculture in Seoul included urban agriculture education training program, and urban agriculture fair. In terms of culture and life, it is trun out that Seoul citizens are using urban farms in Seoul as safe food, vegetable crop harvest, living scenery, and outing places. Among the topics classified as the usage characteristics of urban agriculture in Seoul, additional field observations and interviews were need to investigate participants' perceptions through text. Field observations and interviews on detailed topics were proceeded on "Ganggamchan Urban Farm," "Gwanak Urban Agricultural Park," and "Gyeongchunseon Forest Trail Park," which were primary urban agricultural spaces in Seoul. Gwanak Urban Agricultural Park tried to understand the new urban agriculture space type. Gang Gam-chan Urban Farm was an urban agricultural program, and Gyeongchun Line Forest Trail Park was considered an picnic site. All three target sites have the characteristic of urban gardens around residential areas, so interviews related to the surrounding residential areas were used for analysis. In the LDA analysis, a lot of information related to participants for urban agriculture was obtained. In the analysis of additional observations and interviews, the perception of non-participants for urban agriculture and older people with difficult Internet access was confirmed. Text Mining, field observation, and interviews showed that non-participants in the new urban agricultural space type continued to visit as the space available to non-participants increased. Not only participants but also non-participants preferred the new urban agriculture type space. Regarding the urban agriculture program, as the Seoul Urban Agriculture Program was applied and received on the Seoul Public Reservation Site, difficulties in participating in the program according to the age group demonstrated. Regarding the intention to participate in urban agriculture programs, there was a higher tendency to prefer production activities of urban agriculture than indoor urban agriculture programs. The topic of the urban agricultural space, which is figure out as an outing place, meant that it was considered a place for citizens' daily lives, safe food culture, and leisure activities for families and neighbors. This study is meaningful in that respect Text Mining was used for the first time in relation to urban agriculture awareness. It identified the perception and demand of actual urban agricultural participants through field observation and interviews. I look forward to it can be used as reference data for revitalizing urban agricultural space and culture in Seoul.์ œ1์žฅ ์„œ๋ก  1์ ˆ. ์—ฐ๊ตฌ์˜ ๋ฐฐ๊ฒฝ ๋ฐ ๋ชฉ์  1 1. ์—ฐ๊ตฌ์˜ ๋ฐฐ๊ฒฝ 1 2. ์—ฐ๊ตฌ์˜ ๋ชฉ์  ๋ฐ ์˜์˜ 3 2์ ˆ. ์—ฐ๊ตฌ์˜ ๋ฐฉ๋ฒ•๊ณผ ๋ฒ”์œ„ 4 3์ ˆ. ์—ฐ๊ตฌ์˜ ํ๋ฆ„ 6 ์ œ2์žฅ ์ด๋ก ์  ๊ณ ์ฐฐ 1์ ˆ. ๋„์‹œ๋†์—…์˜ ์ด๋ก ์  ๊ณ ์ฐฐ 7 1. ๋„์‹œ๋†์—…์˜ ๊ฐœ๋… 7 2. ๋„์‹œ๋†์—…์˜ ๊ธฐ๋Šฅ 8 3. ๋„์‹œ๋†์—… ์ •์ฑ…์  ์œก์„ฑ ์‹œํ–‰ ๋ฐฉํ–ฅ 10 2์ ˆ. ํ…์ŠคํŠธ ๋งˆ์ด๋‹์˜ ์ด๋ก ์  ๊ณ ์ฐฐ 14 1. ํ…์ŠคํŠธ ๋งˆ์ด๋‹์˜ ๊ฐœ๋… 14 2. ํ…์ŠคํŠธ ๋งˆ์ด๋‹๊ณผ ๊ด€๋ จํ•œ ์„ ํ–‰์—ฐ๊ตฌ 14 3. ์ž ์žฌ ๋””๋ฆฌํด๋ ˆ ํ• ๋‹น(LDA) ๋ถ„์„ 16 3์ ˆ. ์†Œ๊ฒฐ 18 ์ œ3์žฅ ์„œ์šธ์‹œ ๋„์‹œ๋†์—… ํ˜„ํ™ฉ 1์ ˆ. ์„œ์šธ์‹œ ๋„์‹œ๋†์—… ํ˜„ํ™ฉ 19 1. ๋ชฉํ‘œ ๋ฐ ์ˆ˜๋ฆฝ๊ณผ์ • 19 2. ์šด์˜ ํ˜„ํ™ฉ 20 3. ๊ณต๊ฐ„ ํ˜„ํ™ฉ 25 2์ ˆ. ํ…์ŠคํŠธ ๋งˆ์ด๋‹์„ ํ†ตํ•œ ์„œ์šธ์‹œ ๋„์‹œ๋†์—…์— ๊ด€ํ•œ ์ธ์‹ ํŒŒ์•… 34 1. ๋ฐ์ดํ„ฐ ์ˆ˜์ง‘ ๋ฐ ์ „์ฒ˜๋ฆฌ 34 2. LDA ๋ถ„์„ 34 3์ ˆ. ๋…ผ์˜ ๋ฐ ์†Œ๊ฒฐ 60 ์ œ4์žฅ ์„œ์šธ์‹œ ๋„์‹œ๋†์—… ์ฃผ์š” ํ† ํ”ฝ์— ๊ด€ํ•œ ํ•ด์„ 1์ ˆ. ์„œ์šธ์‹œ ๋„์‹œ๋†์—… ์ด์šฉ ํŠน์„ฑ๊ณผ ์ฐธ์—ฌ์ž ์ธ์‹ 62 1. ์ƒˆ๋กœ์šด ๋„์‹œ๋†์—… ๊ณต๊ฐ„ ์œ ํ˜• 62 2. ๋„์‹œ๋†์—… ํ”„๋กœ๊ทธ๋žจ 72 3. ๋‚˜๋“ค์ด ์žฅ์†Œ 81 4. ์ฃผ๊ฑฐ์ง€์—ญ ๊ทผ์ฒ˜ ํ…ƒ๋ฐญ 88 2์ ˆ. ๋…ผ์˜ ๋ฐ ์†Œ๊ฒฐ 93 ์ œ5์žฅ ๊ฒฐ๋ก  1์ ˆ. ์—ฐ๊ตฌ์˜ ์š”์•ฝ ๋ฐ ์‹œ์‚ฌ์  95 2์ ˆ. ์—ฐ๊ตฌ์˜ ์˜์˜ ๋ฐ ํ•œ๊ณ„ 97 [๋ถ€ ๋ก] 98 [์ฐธ๊ณ ๋ฌธํ—Œ] 112์„

    A Study on the Works of Media Space Responding to the Ecological Data

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    ํ•™์œ„๋…ผ๋ฌธ(๋ฐ•์‚ฌ)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :๋ฏธ์ˆ ๋Œ€ํ•™ ๋””์ž์ธํ•™๋ถ€ ๋””์ž์ธ์ „๊ณต,2020. 2. ์ฑ„์ •์šฐ.Modern cities face various environmental crises, including climate change, ozone depletion, soil pollution, biodiversity reduction and air pollution. These environmental issues have a direct impact on the daily living environment, especially in urban areas. Recently, as the environmental interest has been amplified in Korea, related technologies have been developed and researched. The response to this environmental crisis has been shown in the way of using the technology in various dimensions with the recent development of ICT technology. In particular, this study focused on the ecological characteristics appearing in relation to media technology in the field of spatial design. Conventional media spaces have been approached in terms of mechanical, instrumental, and functional aspects of digital media, but recently, the exploration of the ecological possibilities of media appears in an interdisciplinary way in all areas of architecture, art, design, and technology. This study focused on the use of natural materials as a new media space design methodology in times of environmental crisis, and especially works on media spaces centered on ecological data, and tried to derive implications for. Firstly, theories and case studies on ecological approaches, systems, and impacts have been made with theoretical backgrounds. The ecological approach established an integrated analysis of the aesthetic, social, and environmental aspects of the media and the direction of the works, focusing on the ecology of Fรฉlix Guattari based on three ecology of human ecology, social ecology and environmental ecology. Based on these theoretical considerations, we have studied the ecological system that can be analyzed in the media space. The ecological system was reviewed in detail, focusing on feedback loop systems, and expanded the scope of discussion of existing media, including mechanical systems as well as natural systems. Based on this, the possibility of interaction between the system by the natural element and the system by the mechanical element has been considered. The ecological approach and the influence of the system at the urban level when the system is implemented in the media space can be explained by metaphor, network, and infrastructure. Based on the theories, precedent studies, and examples, the three works, Moss-scape, Cloud Common, and Syn-cloud were conducted. All three works focused on the environmental issues related to the atmosphere, and were made through different materials and technology implementation methods. 'Moss-scape' is a work to visualize environmental data together with a metaphor of modern urban landscape. It is made by using real-time fine dust data of Seoul, and has a function to effectively reduce fine dust. In particular, natural materials called moss were directly borrowed as part of the system so that natural and mechanical systems could be connected and interact with each other. The second work, 'Cloud Common', is a work designed for a square that creates a constantly changing mist cloud in conjunction with environmental data. It is a way to extend the fine dust-related installation work to urban scale and apply it to real space. It is designed as a public space that can be produced differently in real time by air quality data and can have a practical environmental function. It is closely linked with the historical and cultural context of the place where the plaza is located to expand the possibility of expanding the media space to an urban scale. In the third 'Syn-cloud' work, the issue of carbon dioxide is linked to the natural environment element of cloud, and the cloud is interpreted and approached, being based on scientific, aesthetic, social and environmental discussions related to cloud. It is designed to create a media space that can experience the cloud formed by real-time data, and to naturally contain environmental issues and functions related to the atmosphere. To this end, a media space has been established in which software and hardware are connected, and the audience can participate and experience directly through augmented reality. As a result, the media experience is created using natural materials centering on the environmental elements of the atmosphere, so that the experience of the environment can be achieved in a holistic, simultaneous, and real-time manner. In conclusion, in this work, natural materials are interpreted from the media point of view and re-contextualized on the spatial system to interact with artificial and natural systems. Based on this, the ecological possibilities of media space in terms of metaphors, networks, and infrastructures are considered. The media space created by real-time data breaks down the boundaries of human / nature / machine in the continuous reversal of real and virtual, expands new networks through the relocation of time and space, and not only in the semantic but also the practical dimension which can have an environmental impact. In particular, this nature-based media goes beyond the meaning and role of human-centered media through electronic media, and newly gives ontological value and meaning of media to cope with the environmental crisis of modern cities. This can be achieved through a significant tie between the layers of semantic-function, virtual-reality, machine-nature relationships.ํ˜„๋Œ€ ๋„์‹œ๋Š” ๊ธฐํ›„๋ณ€ํ™”, ์˜ค์กด์ธต ํŒŒ๊ดด, ํ† ์–‘ ์˜ค์—ผ, ์ƒ๋ฌผ ๋‹ค์–‘์„ฑ ๊ฐ์†Œ, ๋Œ€๊ธฐ ์˜ค์—ผ ๋“ฑ ๋‹ค์–‘ํ•œ ํ™˜๊ฒฝ์  ์œ„๊ธฐ์— ์ง๋ฉดํ•ด์žˆ๋‹ค. ์ด๋Ÿฌํ•œ ํ™˜๊ฒฝ์  ์ด์Šˆ๋“ค์€ ํŠนํžˆ ๋„์‹œ์—์„œ์˜ ์ผ์ƒ์ ์ธ ์ƒํ™œํ™˜๊ฒฝ์— ์ง์ ‘์ ์ธ ์˜ํ–ฅ์„ ๋ฏธ์น˜๊ณ  ์žˆ์œผ๋ฉฐ, ์ตœ๊ทผ ๋“ค์–ด ์šฐ๋ฆฌ๋‚˜๋ผ์—์„œ๋„ ๋ฏธ์„ธ๋จผ์ง€์™€ ๊ด€๋ จํ•˜์—ฌ ํ™˜๊ฒฝ์ ์ธ ๊ด€์‹ฌ์ด ๋”์šฑ ์ฆํญ๋˜๋ฉด์„œ ๊ด€๋ จ ๊ธฐ์ˆ ๊ฐœ๋ฐœ๊ณผ ์—ฐ๊ตฌ๋“ค์ด ํ™œ๋ฐœํ•˜๊ฒŒ ๋‚˜ํƒ€๋‚˜๊ณ  ์žˆ๋Š” ์ถ”์„ธ์ด๋‹ค. ํ™˜๊ฒฝ์  ์œ„๊ธฐ์— ๋Œ€ํ•œ ๋Œ€์‘์€ ์ตœ๊ทผ ICT๊ธฐ์ˆ ์˜ ๋ฐœ์ „์— ํž˜์ž…์–ด ๊ธฐ์ˆ ์„ ๋‹ค์–‘ํ•œ ์ฐจ์›์—์„œ ํ™œ์šฉํ•˜๋Š” ๋ฐฉ์‹์œผ๋กœ ๋‚˜ํƒ€๋‚˜๊ณ  ์žˆ๋Š”๋ฐ, ํŠนํžˆ ๊ฑด์ถ•, ์˜ˆ์ˆ , ๋””์ž์ธ ์ „ ๋ถ„์•ผ์— ๊ฑธ์ณ ๋ฏธ๋””์–ด์˜ ์ƒํƒœํ•™์  ๊ฐ€๋Šฅ์„ฑ์— ๋Œ€ํ•œ ํƒ์ƒ‰์ด ๋‹คํ•™์ œ์ ์ธ ๋ฐฉ์‹์œผ๋กœ ๋‚˜ํƒ€๋‚˜๊ณ  ์žˆ๋Š” ์ ์„ ํฅ๋ฏธ๋กญ๊ฒŒ ์‚ดํŽด๋ณผ ์ˆ˜ ์žˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ํ™˜๊ฒฝ ์œ„๊ธฐ์˜ ์‹œ๋Œ€์— ์ƒˆ๋กœ์šด ๊ณต๊ฐ„๋””์ž์ธ ๋ฐฉ๋ฒ•๋ก ์œผ๋กœ์„œ ์ž์—ฐ ๊ธฐ๋ฐ˜ ๋ฏธ๋””์–ด์— ์ฃผ๋ชฉํ•˜์—ฌ ๋ฏธ๋””์–ด์˜ ์ƒํƒœํ•™์  ๊ฐ€๋Šฅ์„ฑ์„ ๊ณ ์ฐฐํ•˜๊ณ  ๋„์‹œ ๊ณต๊ฐ„์—์„œ์˜ ํ™•์žฅ์  ๊ตฌ์ถ•๋ฐฉ์‹์— ๋Œ€ํ•œ ํ•จ์˜๋ฅผ ๋„์ถœํ•˜๊ณ ์ž ํ•˜์˜€๋‹ค. ์ด๋ฅผ ์œ„ํ•ด, ์ด๋ก ์ ์ธ ๋ฐฐ๊ฒฝ์œผ๋กœ ์ƒํƒœํ•™์  ์ ‘๊ทผ๊ณผ ์‹œ์Šคํ…œ์— ๋Œ€ํ•œ ์ด๋ก  ๋ฐ ์‚ฌ๋ก€๊ณ ์ฐฐ์ด ์ด๋ฃจ์–ด์กŒ๋‹ค. ์ƒํƒœํ•™์  ์ ‘๊ทผ์€ ์ธ๊ฐ„์ƒํƒœ, ์‚ฌํšŒ์ƒํƒœ, ํ™˜๊ฒฝ์ƒํƒœ๋ผ๋Š” ์„ธ ๊ฐ€์ง€ ์ƒํƒœํ•™์— ๊ทผ๊ฑฐํ•œ ํŽ ๋ฆญ์Šค ๊ฐ€ํƒ€๋ฆฌ์˜ ์—์ฝ”์†Œํ”ผ์— ๋Œ€ํ•œ ๊ณ ์ฐฐ์„ ์ค‘์‹ฌ์œผ๋กœ, ๋ฏธ๋””์–ด์— ๋Œ€ํ•œ ๋ฏธํ•™์ , ์‚ฌํšŒ์ , ํ™˜๊ฒฝ์  ์ธก๋ฉด์—์„œ์˜ ํ†ตํ•ฉ์  ๋ถ„์„ ๋ฐ ์ž‘ํ’ˆ ๋ฐฉํ–ฅ์„ ์„ค์ •ํ•˜์˜€๋‹ค. ์ด๋Ÿฌํ•œ ์ด๋ก ์  ๊ณ ์ฐฐ์„ ๋ฐ”ํƒ•์œผ๋กœ ๊ตฌ์ฒด์ ์œผ๋กœ ๋ฏธ๋””์–ด ๊ณต๊ฐ„์—์„œ ๋ถ„์„๋  ์ˆ˜ ์žˆ๋Š” ์ƒํƒœํ•™์  ์‹œ์Šคํ…œ์— ๋Œ€ํ•œ ์—ฐ๊ตฌ๋ฅผ ์ง„ํ–‰ํ•˜์˜€๋‹ค. ํ”ผ๋“œ๋ฐฑ๋ฃจํ”„ ์‹œ์Šคํ…œ์„ ์ค‘์‹ฌ์œผ๋กœ ์ƒํƒœํ•™์  ์‹œ์Šคํ…œ์„ ์‚ดํŽด๋ณด๊ณ , ๊ธฐ๊ณ„์  ์‹œ์Šคํ…œ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ์ž์—ฐ์  ์‹œ์Šคํ…œ์œผ๋กœ๊นŒ์ง€ ๊ธฐ์กด ๋ฏธ๋””์–ด์— ๋Œ€ํ•œ ๋…ผ์˜์˜ ๋ฒ”์œ„๋ฅผ ํ™•์žฅํ•˜์˜€๋‹ค. ์ด๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ์ž์—ฐ์  ์š”์†Œ์— ์˜ํ•œ ์‹œ์Šคํ…œ๊ณผ ๊ธฐ๊ณ„์  ์š”์†Œ์— ์˜ํ•œ ์‹œ์Šคํ…œ์˜ ์ƒํ˜ธ์ž‘์šฉ ๊ฐ€๋Šฅ์„ฑ์— ๋Œ€ํ•œ ๊ณ ์ฐฐ์ด ์ด๋ฃจ์–ด์กŒ์œผ๋ฉฐ, ์ƒํƒœํ•™์  ์ ‘๊ทผ๊ณผ ์‹œ์Šคํ…œ์ด ๋ฏธ๋””์–ด ๊ณต๊ฐ„์— ๊ตฌํ˜„๋˜์—ˆ์„ ๋•Œ ๋„์‹œ์  ์ฐจ์›์—์„œ ๊ฐ€์งˆ ์ˆ˜ ์žˆ๋Š” ์˜ํ–ฅ๋ ฅ์„ ๋ฉ”ํƒ€ํฌ, ๋„คํŠธ์›Œํฌ, ์ธํ”„๋ผ์˜ ์ธก๋ฉด์—์„œ ์‚ดํŽด๋ณด์•˜๋‹ค. ์•ž์„œ ์ด๋ฃจ์–ด์ง„ ์ด๋ก  ๋ฐ ์„ ํ–‰์—ฐ๊ตฌ, ์‚ฌ๋ก€๋“ค์„ ๋ฐ”ํƒ•์œผ๋กœ ์„ธ ๊ฐœ์˜ ์ž‘ํ’ˆ์—ฐ๊ตฌ ์ด๋ผ์ง„๊ฒฝ(Moss-scape), ํด๋ผ์šฐ๋“œ ์ปค๋จผ(Cloud Common), ์‹ฑํด๋ผ์šฐ๋“œ(Syn-cloud) ๊ฐ€ ์ง„ํ–‰๋˜์—ˆ๋‹ค. ์„ธ ์ž‘ํ’ˆ ๋ชจ๋‘ ๋Œ€๊ธฐ์™€ ๊ด€๋ จ๋œ ํ™˜๊ฒฝ์  ์ด์Šˆ๋ฅผ ์ค‘์‹ฌ์œผ๋กœ ์ง„ํ–‰๋œ ์ž‘ํ’ˆ์œผ๋กœ ๊ฐ๊ธฐ ๋‹ค๋ฅธ ์†Œ์žฌ์™€ ๊ธฐ์ˆ ๊ตฌํ˜„๋ฐฉ์‹์„ ํ†ตํ•ด ์ง„ํ–‰๋˜์—ˆ๋‹ค. ์ด๋ผ์ง„๊ฒฝ ์€ ํ˜„๋Œ€ ๋„์‹œ๊ฒฝ๊ด€์— ๋Œ€ํ•œ ์€์œ ์™€ ํ•จ๊ป˜ ํ™˜๊ฒฝ ๋ฐ์ดํ„ฐ๋ฅผ ์‹œ๊ฐ์ ์œผ๋กœ ๊ตฌํ˜„ํ•˜๊ธฐ ์œ„ํ•œ ์ž‘ํ’ˆ์œผ๋กœ, ์„œ์šธ์‹œ์˜ ์‹ค์‹œ๊ฐ„ ๋ฏธ์„ธ๋จผ์ง€ ๋ฐ์ดํ„ฐ๋ฅผ ํ™œ์šฉํ•˜์—ฌ ์ด๋ฃจ์–ด์กŒ์œผ๋ฉฐ, ์‹ค์งˆ์ ์œผ๋กœ ๋ฏธ์„ธ๋จผ์ง€ ์ €๊ฐ๊ธฐ๋Šฅ์„ ๊ฐ€์งˆ ์ˆ˜ ์žˆ๋„๋ก ํ•˜์˜€๋‹ค. ํŠนํžˆ, ์ด๋ผ๋ผ๋Š” ์ž์—ฐ์†Œ์žฌ๋ฅผ ์‹œ์Šคํ…œ์˜ ์ผ๋ถ€๋กœ์„œ ์ง์ ‘์ ์œผ๋กœ ์ฐจ์šฉํ•˜์—ฌ ์ž์—ฐ์  ์‹œ์Šคํ…œ๊ณผ ๊ธฐ๊ณ„์  ์‹œ์Šคํ…œ์ด ์„œ๋กœ ์—ฐ๊ฒฐ๋˜์–ด ์ƒํ˜ธ์ž‘์šฉ ํ•  ์ˆ˜ ์žˆ๋„๋ก ํ•˜์˜€๋‹ค. ๋‘ ๋ฒˆ์งธ ์ž‘ํ’ˆ์ธ ํด๋ผ์šฐ๋“œ ์ปค๋จผ ์€ ํ™˜๊ฒฝ๋ฐ์ดํ„ฐ์™€ ์—ฐ๋™๋˜์–ด ๋Š์ž„์—†์ด ๋ณ€ํ™”ํ•˜๋Š” ๋ฏธ์ŠคํŠธ ๊ตฌ๋ฆ„์„ ๋งŒ๋“ค์–ด๋‚ด๋Š” ๊ด‘์žฅ์„ ๋””์ž์ธํ•œ ์ž‘ํ’ˆ์œผ๋กœ, ์•ž์„œ ์ด๋ฃจ์–ด์ง„ ๋ฏธ์„ธ๋จผ์ง€ ๊ด€๋ จ ์„ค์น˜์ž‘ํ’ˆ์„ ๋„์‹œ ์Šค์ผ€์ผ๋กœ ํ™•์žฅํ•˜๊ณ  ์‹ค์ œ ๊ณต๊ฐ„์— ์ ์šฉ์‹œํ‚ค๊ธฐ ์œ„ํ•œ ๋ฐฉ๋ฒ•์ด ๋ชจ์ƒ‰๋˜์—ˆ๋‹ค. ๋Œ€๊ธฐ์งˆ ๋ฐ์ดํ„ฐ์— ์˜ํ•ด ์‹ค์‹œ๊ฐ„์œผ๋กœ ๋‹ค๋ฅด๊ฒŒ ์—ฐ์ถœ๋˜๋Š” ํ•œํŽธ ์‹ค์งˆ์ ์œผ๋กœ ํ™˜๊ฒฝ์  ๊ธฐ๋Šฅ์„ ๊ฐ€์งˆ ์ˆ˜ ์žˆ๋Š” ๊ณต๊ณต๊ณต๊ฐ„์œผ๋กœ์„œ ๋””์ž์ธ๋˜์—ˆ์œผ๋ฉฐ, ๊ด‘์žฅ์ด ์œ„์น˜ํ•œ ์žฅ์†Œ์˜ ์—ญ์‚ฌ๋ฌธํ™”์  ์ปจํ…์ŠคํŠธ์™€ ๊ธด๋ฐ€ํ•˜๊ฒŒ ์—ฐ๊ณ„๋˜์–ด ๋ฏธ๋””์–ด ๊ณต๊ฐ„์˜ ๋„์‹œ์  ์Šค์ผ€์ผ๋กœ์˜ ํ™•์žฅ ๊ฐ€๋Šฅ์„ฑ์„ ์‚ดํŽด๋ณด์•˜๋‹ค. ์„ธ ๋ฒˆ์งธ๋กœ ์ด๋ฃจ์–ด์ง„ ์‹ฑํด๋ผ์šฐ๋“œ ์ž‘ํ’ˆ์—์„œ๋Š” ์ด์‚ฐํ™”ํƒ„์†Œ์— ๋Œ€ํ•œ ์ด์Šˆ๋ฅผ ๊ตฌ๋ฆ„์ด๋ผ๋Š” ์ž์—ฐ์  ํ™˜๊ฒฝ์š”์†Œ์™€ ์—ฐ๊ฒฐ์ง“๊ณ , ๊ตฌ๋ฆ„๊ณผ ๊ด€๋ จํ•œ ๊ณผํ•™์ , ๋ฏธํ•™์ , ์‚ฌํšŒ์ , ํ™˜๊ฒฝ์  ๋…ผ์˜๋“ค์„ ๋ฐ”ํƒ•์œผ๋กœ ๊ตฌ๋ฆ„์„ ๋ฏธ๋””์–ด์  ์ธก๋ฉด์—์„œ ํ•ด์„ํ•˜๊ณ  ์ ‘๊ทผํ•จ์œผ๋กœ์จ, ์‹ค์‹œ๊ฐ„ ๋ฐ์ดํ„ฐ์— ์˜ํ•ด ํ˜•์„ฑ๋˜๋Š” ๊ตฌ๋ฆ„์— ๋Œ€ํ•œ ๊ฒฝํ—˜์ด ๊ฐ€๋Šฅํ•œ ๋ฏธ๋””์–ด ๊ณต๊ฐ„์„ ๊ตฌ์ถ•ํ•˜๊ณ , ๋Œ€๊ธฐ์™€ ๊ด€๋ จํ•œ ํ™˜๊ฒฝ์  ์ด์Šˆ์™€ ๊ธฐ๋Šฅ๋“ค์„ ์ž์—ฐ์Šค๋Ÿฝ๊ฒŒ ๋‹ด์•„๋‚ผ ์ˆ˜ ์žˆ๋„๋ก ๋””์ž์ธ๋˜์—ˆ๋‹ค. ์ด๋ฅผ ์œ„ํ•˜์—ฌ ์†Œํ”„ํŠธ์›จ์–ด์™€ ํ•˜๋“œ์›จ์–ด๊ฐ€ ์—ฐ๊ณ„๋œ ๋ฏธ๋””์–ด๊ณต๊ฐ„์ด ๊ตฌ์ถ•๋˜์—ˆ์œผ๋ฉฐ ์ฆ๊ฐ•ํ˜„์‹ค ๋“ฑ์„ ํ†ตํ•ด์„œ ๊ด€๊ฐ์ด ์ง์ ‘ ์ฐธ์—ฌํ•˜๊ณ  ๊ฒฝํ—˜ํ•  ์ˆ˜ ์žˆ๋„๋ก ํ•˜์˜€๋‹ค. ๊ฒฐ๊ณผ์ ์œผ๋กœ ๋Œ€๊ธฐ๋ผ๋Š” ํ™˜๊ฒฝ์  ์š”์†Œ๋“ค์„ ์ค‘์‹ฌ์œผ๋กœ ์ž์—ฐ ์†Œ์žฌ๋ฅผ ํ™œ์šฉํ•˜์—ฌ ๋ฏธ๋””์–ด ๊ณต๊ฐ„์„ ์—ฐ์ถœํ•จ์œผ๋กœ์จ ํ™˜๊ฒฝ์— ๋Œ€ํ•œ ๊ฒฝํ—˜์ด ์ด์ฒด์ , ๋™์‹œ๋‹ค๋ฐœ์ , ์‹ค์‹œ๊ฐ„์œผ๋กœ ์ด๋ฃจ์–ด์ง€๋„๋ก ํ•˜์˜€์œผ๋ฉฐ, ์ด๋ฅผ ์œ„ํ•œ ๊ฐ€์ƒ ๊ตฌํ˜„ ๋””๋ฐ”์ด์Šค์™€ ์‹ค์žฌํ•˜๋Š” ๊ณต๊ฐ„ ๊ตฌ์กฐ๋ฌผ์„ ์—ฐ๊ณ„ํ•˜์—ฌ ๋””์ž์ธ์ด ์ด๋ฃจ์–ด์กŒ๋‹ค. ๊ฒฐ๋ก ์ ์œผ๋กœ ๋ณธ ์ž‘ํ’ˆ์—ฐ๊ตฌ์—์„œ๋Š” ์ž์—ฐ ์†Œ์žฌ๋ฅผ ๋ฏธ๋””์–ด์  ๊ด€์ ์—์„œ ํ•ด์„ํ•˜๊ณ  ๊ณต๊ฐ„ ์‹œ์Šคํ…œ ์ƒ์—์„œ ์žฌ๋งฅ๋ฝํ™”ํ•˜์—ฌ ์ธ๊ณต์  ์‹œ์Šคํ…œ๊ณผ ์ž์—ฐ์  ์‹œ์Šคํ…œ์„ ์ƒํ˜ธ์ž‘์šฉํ•˜๋„๋ก ํ•˜์˜€์œผ๋ฉฐ, ์ด๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ๋ฉ”ํƒ€ํฌ, ๋„คํŠธ์›Œํฌ, ์ธํ”„๋ผ์  ์ธก๋ฉด์—์„œ ๋ฏธ๋””์–ด ๊ณต๊ฐ„์˜ ์ƒํƒœํ•™์  ๊ฐ€๋Šฅ์„ฑ์„ ๊ณ ์ฐฐํ•˜์˜€๋‹ค. ์‹ค์‹œ๊ฐ„ ํ™˜๊ฒฝ ๋ฐ์ดํ„ฐ์— ์˜ํ•ด ์ƒ์„ฑ๋œ ๋ฏธ๋””์–ด ๊ณต๊ฐ„์€ ์‹ค์ œ์™€ ๊ฐ€์ƒ์˜ ๋ฐ˜์ „ ์†์—์„œ ์ธ๊ฐ„/์ž์—ฐ/๊ธฐ๊ณ„์˜ ๊ฒฝ๊ณ„๋ฅผ ๋ฌด๋„ˆ๋œจ๋ฆฌ๋ฉฐ, ์‹œ๊ฐ„๊ณผ ๊ณต๊ฐ„์˜ ์žฌ๋ฐฐ์น˜๋ฅผ ํ†ตํ•ด ์ƒˆ๋กœ์šด ๋„คํŠธ์›Œํฌ๋ฅผ ํ™•์žฅ์‹œ์ผœ ๋‚˜๊ฐ€๊ณ  ์˜๋ฏธ์ ์ธ ์ฐจ์›์—์„œ ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ์‹ค์งˆ์ ์ธ ์ฐจ์›์—์„œ ํ™˜๊ฒฝ์ ์ธ ์˜ํ–ฅ๋ ฅ์„ ๊ฐ€์งˆ ์ˆ˜ ์žˆ๋‹ค. ํŠนํžˆ, ์ด๋Ÿฌํ•œ ์ž์—ฐ ๊ธฐ๋ฐ˜ ๋ฏธ๋””์–ด๋Š” ์ „์ž์  ๋งค์ฒด๋กœ์„œ์˜ ์ธ๊ฐ„์ค‘์‹ฌ์  ๋ฏธ๋””์–ด์˜ ์˜๋ฏธ์™€ ์—ญํ• ์„ ๋„˜์–ด, ํ˜„๋Œ€ ๋„์‹œ์˜ ํ™˜๊ฒฝ ์œ„๊ธฐ์— ๋Œ€์‘ํ•˜๊ธฐ ์œ„ํ•œ ๋ฏธ๋””์–ด์˜ ์กด์žฌ๋ก ์  ๊ฐ€์น˜์™€ ์˜๋ฏธ๋ฅผ ์ƒˆ๋กญ๊ฒŒ ํ™•์žฅํ•˜๋ฉฐ, ์ด๋Š” ๊ฐ€์ƒ-ํ˜„์‹ค, ๊ธฐ๊ณ„-์ž์—ฐ, ์˜๋ฏธ-๊ธฐ๋Šฅ ๊ฐ„ ์ค‘์ธต์ ์ธ ๊ด€๊ณ„๋“ค์„ ์œ ์˜๋ฏธํ•˜๊ฒŒ ์—ฎ๋Š” ๋ฐฉ์‹์„ ํ†ตํ•ด ์ด๋ฃจ์–ด์งˆ ์ˆ˜ ์žˆ๋‹ค.1. ์„œ๋ก  1 1. 1. ์—ฐ๊ตฌ์˜ ๋ฐฐ๊ฒฝ ๋ฐ ๋ชฉ์  1 1.2. ์—ฐ๊ตฌ์˜ ๋ฒ”์œ„ ๋ฐ ๋ฐฉ๋ฒ• 2 2. ๋„์‹œ ์ƒํƒœ์™€ ๋ฏธ๋””์–ด 5 2.1 ํ˜„๋Œ€ ๋„์‹œ์™€ ํ™˜๊ฒฝ๋ฌธ์ œ 5 2.1.1. ์ธ๋ฅ˜์„ธ ์‹œ๋Œ€์˜ ์ธ๊ฐ„๊ณผ ์ž์—ฐ 5 2.1. 2. ์ƒํƒœ์„ฑ ๊ฐœ๋…์˜ ๋ณ€ํ™” 8 2. 2 ๋ฏธ๋””์–ด์— ๋Œ€ํ•œ ์ƒํƒœํ•™์  ์ ‘๊ทผ 12 2. 2.1. ์ž์—ฐ๊ณผ ๋ฏธ๋””์–ด, ๋ฏธ๋””์–ด ๊ฐœ๋…์˜ ํ™•์žฅ 12 2. 2. 2. ์ƒํ˜ธ๋ฐ˜์‘ํ•˜๋Š” ํ™˜๊ฒฝ์˜ ๊ตฌ์ถ• 14 3. ์ž์—ฐ ๊ธฐ๋ฐ˜ ๋ฏธ๋””์–ด ๊ณต๊ฐ„์˜ ๊ตฌํ˜„ ๋ฐฉ์‹ 17 3.1 ์ž์—ฐ ๊ธฐ๋ฐ˜ ๋ฏธ๋””์–ด ๊ณต๊ฐ„์˜ ์œ ํ˜• 17 3.2 ์ƒํ˜ธ๋ฐ˜์‘ํ˜• ๊ธฐ์ˆ ์˜ ํ”„๋กœ์„ธ์Šค์™€ ์‹œ์Šคํ…œ 19 3.2.1. Sensing-Processing-Actuation 19 3.2.2. Feedback Loop System 23 3. 3 ๋„์‹œ ํ™˜๊ฒฝ์„ ์œ„ํ•œ ๋ฏธ๋””์–ด์˜ ์ƒํƒœํ•™์  ๊ฐ€๋Šฅ์„ฑ 25 3. 3.1. ์ธํ”„๋ผ Infrastructure 25 3. 3.2. ๋„คํŠธ์›Œํฌ Network 26 3. 3. 3. ๋ฉ”ํƒ€ํฌ Metaphor 28 4. ์‚ฌ๋ก€ ์—ฐ๊ตฌ 31 4.1. ๋น„์ƒ๋ฌผ์ (abiotic) ํ™˜๊ฒฝ ์š”์†Œ๋ฅผ ํ†ตํ•œ ์ ‘๊ทผ 31 4.2. ์ƒ๋ฌผ์ (biotic) ํ™˜๊ฒฝ ์š”์†Œ๋ฅผ ํ†ตํ•œ ์ ‘๊ทผ 36 5. ์ž‘ํ’ˆ ์—ฐ๊ตฌ 39 5.1. ์ด๋ผ์ง„๊ฒฝ Moss-scape 39 5.2. ํด๋ผ์šฐ๋“œ ์ปค๋จผ Cloud Common 58 5.3. ์‹ฑํด๋ผ์šฐ๋“œ Syn-cloud 66 5.3.1. ์ž‘ํ’ˆ๊ฐœ์š” 66 5.3.2. ๊ธฐ๋ณธ๊ตฌ์ƒ 75 5.3.3. ๊ธฐ์ˆ ๊ตฌํ˜„ 87 5.3.4. ์ตœ์ข…์„ค์น˜ 93 5.3.5. ์†Œ๊ฒฐ: ๊ตฌ๋ฆ„ ๋ฏธ๋””์–ด๋ฅผ ํ†ตํ•œ ๋ฏธ์‹œ์ƒํƒœ๊ณ„์˜ ๊ตฌํ˜„ 100 6. ๊ฒฐ๋ก  ๋ฐ ์ œ์–ธ 103 ์ฐธ๊ณ ๋ฌธํ—Œ 106 Abstract 109Docto

    A Study on the Implementation of Plant Factory LED Lighting Control System using Artificial Intelligence

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    Currently, LED plant factory have been using colors by fixed red and blue colors spectrums. This has the disadvantage that can not be applied to organic, depending on the situation around. In other words, if the type of plants according to the growth stage or the appropriate light environment can not be controlled, but rather hinder or promote the growth of plants, can cause unnecessary energy consumption. Growth progresses, the environmental conditions suitable for the growth period of the plant will vary, but always maintain the same environmental conditions, plant growth promotion and growth of plants can be inhibited in order to save energy when appropriate according to the step-by-step growth of plants formulation of the light source is needed. Because it has been using for secondary source energy is not the main source of energy in photosynthesis, also used in LED plant factory directly, depending on the external environment affect the growth of plants, do not give. In addition, LED unit price formation and also expensive because typically tend to be reluctant to use. In this paper, we present a system that is controlled by the organic as well as the use of LED lighting as the main energy source rather than a secondary energy source, according to the surrounding environment (temperature, illumination, humidity, soil conditions, etc.) Plant Factory Lighting System has been implemented. Existing fixed wavelength of LED, without using Variable LED wavelengths, and changes the system in the environment to be controlled organically by introducing the fuzzy inference system has constructed.List of Tables โ€งโ€งโ€งโ€งโ€งโ€งโ€งโ€งโ€งโ€งโ€งโ€งโ€ง โ…ณ List of Figures โ€งโ€งโ€งโ€งโ€งโ€งโ€งโ€งโ€งโ€งโ€งโ€งโ€ง โ…ด Abstract โ€งโ€งโ€งโ€งโ€งโ€งโ€งโ€งโ€งโ€งโ€งโ€งโ€งโ€งโ€งโ€ง โ…ถ ์ œ1์žฅ.์„œ ๋ก  1.1 ๊ฐœ์š” โ€งโ€งโ€งโ€งโ€งโ€งโ€งโ€งโ€งโ€งโ€งโ€งโ€งโ€งโ€ง 1 ์ œ2์žฅ.์‹๋ฌผ ์žฌ๋ฐฐ์™€ ์ธ๊ณต์กฐ๋ช… 2.1 ๊ด‘ํ•ฉ์„ฑ๊ณผ ํŒŒ์žฅ์˜ ๊ด€๊ณ„ โ€งโ€งโ€งโ€งโ€งโ€งโ€ง 3 2.2 ๊ด‘์›์ด ๊ด‘ํ•ฉ์„ฑ์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ์š”์ธ โ€งโ€งโ€งโ€งโ€งโ€ง 4 2.3 ์ƒ๋ฌผ์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ํŒŒ์žฅ๋Œ€์—ญ โ€งโ€งโ€งโ€งโ€งโ€งโ€ง 6 2.4 ์ธ๊ณต ๊ด‘์› โ€งโ€งโ€งโ€งโ€ง 7 2.5 LED RGB์™€ ์‹๋ฌผ ์žฌ๋ฐฐ์˜ ๊ด€๊ณ„ โ€งโ€งโ€งโ€ง 8 ์ œ3์žฅ.ํผ์ง€ ์ œ์–ด ์‹œ์Šคํ…œ 3.1 ํผ์ง€์ด๋ก ์˜ ๊ฐœ์š” โ€งโ€งโ€งโ€งโ€ง 10 3.2 ๋ณดํ†ต์ง‘ํ•ฉ๊ณผ ํผ์ง€์ง‘ํ•ฉ ๋ฐ ์—ฐ์‚ฐ โ€งโ€งโ€งโ€งโ€ง 10 3.3 ํผ์ง€์ถ”๋ก  โ€งโ€งโ€งโ€ง 14 3.4 ํผ์ง€์ œ์–ด๊ธฐ์˜ ๊ตฌ์„ฑ โ€งโ€งโ€งโ€งโ€ง 16 ์ œ4์žฅ. Plant Factory Lighting System 4.1 Plant Factory System โ€งโ€งโ€งโ€ง 20 4.2 Plant Factory Lighting System ๊ตฌ์„ฑ โ€งโ€งโ€งโ€งโ€งโ€ง 21 4.3 ํผ์ง€ ์•Œ๊ณ ๋ฆฌ์ฆ˜ ๊ตฌ์„ฑ โ€งโ€งโ€งโ€ง 22 4.4 MATLAB Simulation โ€งโ€งโ€งโ€ง 30 ์ œ ์žฅ. ์ธ๊ณต์ง€๋Šฅํ˜• Plant Factory Lighting System ๊ตฌํ˜„ 5.1 ํ•˜๋“œ์›จ์–ด ๊ตฌ์„ฑ โ€งโ€งโ€งโ€งโ€งโ€งโ€งโ€ง 33 5.2 ์กฐ๋ช… ํ†ตํ•ฉ ์ œ์–ด๋ณด๋“œ โ€งโ€งโ€งโ€งโ€ง 34 5.2.1 ์ „์›๋ถ€ โ€งโ€งโ€งโ€ง 34 5.2.2 AVR ์ œ์–ด๋ถ€ โ€งโ€งโ€งโ€งโ€งโ€งโ€งโ€ง 35 5.2.3 ํ†ต์‹ ๋ถ€ โ€งโ€งโ€งโ€ง 38 5.3 ์„ผ์„œ ๋ณด๋“œ โ€งโ€งโ€งโ€งโ€งโ€งโ€งโ€งโ€งโ€งโ€งโ€งโ€ง 40 5.4 ํ…Œ์ŠคํŠธ ์‹คํ—˜ โ€งโ€งโ€งโ€งโ€งโ€งโ€งโ€งโ€งโ€งโ€งโ€งโ€งโ€ง 42 5.5 ์กฐ๋ช… ํ†ตํ•ฉ ์ œ์–ด๋ณด๋“œ ์ œ์ž‘ โ€งโ€งโ€งโ€งโ€งโ€ง 43 ์ œ6์žฅ.์‹คํ—˜ ๋ฐ ๊ฒฐ๊ณผ 6.1 ์‹คํ—˜ ๋ฐฉ๋ฒ• โ€งโ€งโ€งโ€งโ€งโ€งโ€งโ€งโ€งโ€งโ€งโ€งโ€งโ€ง 45 6.2 ์‹คํ—˜ ๊ฒฐ๊ณผ โ€งโ€งโ€งโ€งโ€งโ€งโ€งโ€งโ€งโ€งโ€งโ€งโ€งโ€ง 46 ์ œ7์žฅ.๊ฒฐ ๋ก  โ€งโ€งโ€งโ€งโ€งโ€งโ€งโ€งโ€งโ€งโ€ง 50 ์ฐธ๊ณ ๋ฌธํ—Œ โ€งโ€งโ€งโ€งโ€งโ€งโ€งโ€งโ€งโ€ง 51 ๊ฐ์‚ฌ์˜ ๊ธ€โ€งโ€งโ€งโ€งโ€งโ€งโ€งโ€งโ€งโ€งโ€ง 5

    Water-Energy Relationship Analysis for Water-Energy-Food Nexus in Greenhouse

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :๋†์—…์ƒ๋ช…๊ณผํ•™๋Œ€ํ•™ ์ƒํƒœ์กฐ๊ฒฝ.์ง€์—ญ์‹œ์Šคํ…œ๊ณตํ•™๋ถ€(์ง€์—ญ์‹œ์Šคํ…œ๊ณตํ•™์ „๊ณต),2019. 8. ์ตœ์ง„์šฉ.๋ฌผ-์—๋„ˆ์ง€-์‹๋Ÿ‰ ๋„ฅ์„œ์Šค๋Š” ์ž์› ๊ณผ์ด์šฉ์œผ๋กœ ๋ฐœ์ƒํ•˜๋Š” ๋งŽ์€ ๋ฌธ์ œ๋“ค์˜ ํ•ด๊ฒฐ์— ๋„์›€์ด ๋  ๊ฒƒ์ด๋ž€ ๊ธฐ๋Œ€๋ฅผ ๊ฐ€์ง€๊ณ  ๋“ฑ์žฅํ–ˆ๋‹ค. ๋ฌผ-์—๋„ˆ์ง€-์‹๋Ÿ‰ ๋„ฅ์„œ์Šค๋Š” 2011๋…„ Bonn ํšŒ์˜์—์„œ ์ฒ˜์Œ ์†Œ๊ฐœ๋˜์—ˆ๊ณ , ๋ฌผ-์—๋„ˆ์ง€-์‹๋Ÿ‰ ๋„ฅ์„œ์Šค๋ฅผ ์ œ๋Œ€๋กœ ์ดํ•ดํ•˜๊ธฐ ์œ„ํ•ด์„œ๋Š” ๊ฐ ์ž์›๊ฐ„์˜ ๊ด€๊ณ„๋ฅผ ๋ถ„์„ํ•˜๋Š” ๊ฒƒ์ด ๋งค์šฐ ์ค‘์š”ํ•˜๋‹ค. ๋ณธ ์—ฐ๊ตฌ์˜ ๋ชฉ์ ์€ ์‹œ์„ค์žฌ๋ฐฐ์ง€์—์„œ ๋ฌผ๊ณผ ์—๋„ˆ์ง€์˜ ๊ด€๊ณ„๋ฅผ ๋ถ„์„ํ•˜๋Š” ๊ฒƒ์ด๋‹ค. ๋ฌผ-์—๋„ˆ์ง€ ๊ด€๊ณ„๋ฅผ ๋ถ„์„ํ•˜๊ธฐ ์œ„ํ•ด ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ๊ธฐ์ค€์ž‘๋ฌผ์ฆ๋ฐœ์‚ฐ๋Ÿ‰๊ณผ ๋‚œ๋ฐฉ ์—๋„ˆ์ง€๋ถ€ํ•˜๋ฅผ ๋ชจ์˜ํ•˜์˜€๊ณ , ์ด๋ฅผ ์œ„ํ•ด ๋‚œ๋ฐฉ, ์ผ์‚ฌ, ํ™˜๊ธฐ ๋ฐ ๊ด€๋ฅ˜์—ด์†์‹ค์„ ์ž…๋ ฅ ๋ณ€์ˆ˜๋กœ ํ•˜๋Š” ๋ฌผ๋ฆฌ ๋ชจ๋ธ์„ ํ†ตํ•ด ์˜จ์‹ค์˜ ์‹ค๋‚ด์˜จ๋„๋ฅผ ๋ชจ์˜ํ•˜์˜€๋‹ค. ๊ธฐ์ค€์ž‘๋ฌผ์ฆ๋ฐœ์‚ฐ๋Ÿ‰๊ณผ ๋‚œ๋ฐฉ ์—๋„ˆ์ง€๋ถ€ํ•˜์˜ ์‚ฐ์ •์„ ์œ„ํ•ด์„œ Hargreaves์‹๊ณผ ๊ธฐ๊ฐ„๋‚œ๋ฐฉ๋ถ€ํ•˜ ์‚ฐ์ •์‹์„ ์ด์šฉํ•˜์˜€๋‹ค. ์‹คํ—˜ ๋Œ€์ƒ์ง€๋Š” ๊ฒฝ๊ธฐ๋„ ์šฉ์ธ์‹œ์— ์œ„์น˜ํ•œ 4์—ฐ๋™ ์˜จ์‹ค์ด์—ˆ๊ณ , 2011๋…„๋ถ€ํ„ฐ 2012๋…„๊นŒ์ง€ ์˜จ์‹ค ๋‚ด๋ถ€์—์„œ ์‹ค์ธก๋œ ์‹œ๊ฐ„๋‹จ์œ„ ์ž๋ฃŒ๋ฅผ ์ด์šฉํ•˜์—ฌ ์‹ค๋‚ด์˜จ๋„ ๋ชจ์˜ ๋ชจ๋ธ์„ ๊ฒ€ยท๋ณด์ •ํ•˜์˜€๋‹ค. ๋ชจ์˜ ๊ฒฐ๊ณผ๋Š” R2, MAE, RMSE๋ฅผ ํ†ตํ•ด ํ‰๊ฐ€ํ•˜์˜€๊ณ  ๋ณด์ • ๊ฒฐ๊ณผ 0.69, 2.77, 3.72 ๊ทธ๋ฆฌ๊ณ  ๊ฒ€์ • ๊ฒฐ๊ณผ 0.57, 2.67, 3.86๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. Hargreaves์‹์„ ์ด์šฉํ•œ ๊ธฐ์ค€์ž‘๋ฌผ์ฆ๋ฐœ์‚ฐ๋Ÿ‰ ์‚ฐ์ • ๊ฒฐ๊ณผ์˜ ๊ฒ€์ฆ์„ ์œ„ํ•ด ํ‘œํ†  1m ์ด๋‚ด์—์„œ ์ธก์ •๋œ ํ† ์–‘์ˆ˜๋ถ„ํ•จ์ˆ˜๋Ÿ‰ ์ž๋ฃŒ๋ฅผ ํ† ๋Œ€๋กœ ํ† ์–‘ ๋ฌผ์ˆ˜์ง€ ๋ถ„์„์„ ํ•˜์˜€๋‹ค. 2012๋…„ 7์›” 22์ผ๋ถ€ํ„ฐ 10์›” 28์ผ๊นŒ์ง€ ๊ธฐ๊ฐ„ ๋™์•ˆ ์ธก์ •๋œ ์ž๋ฃŒ๋ฅผ ์ด์šฉํ•˜์˜€์œผ๋ฉฐ, Hargreaves์‹์„ ์ด์šฉํ•˜์—ฌ ์‚ฐ์ •ํ•˜์˜€์„ ๋•Œ ์ด 543mm, ํ† ์–‘๋ฌผ์ˆ˜์ง€ ๋ฐฉ๋ฒ•์œผ๋กœ ๊ณ„์‚ฐํ•˜์˜€์„ ๋•Œ ์ด 640mm๋กœ ๊ณ„์‚ฐ๋˜์—ˆ๋‹ค. ๊ฐ ๋ชจ๋ธ์˜ ํƒ€๋‹น์„ฑ์„ ๊ฒ€์ฆ ํ•œ ํ›„, ์šฐ๋ฆฌ๋‚˜๋ผ์˜ ์„œ๋กœ ๋‹ค๋ฅธ ๋†์—…๊ธฐํ›„์ง€๋Œ€์— ์†ํ•œ ์—ฌ๋Ÿ ์ง€์—ญ์˜ ๊ธฐ์ƒ๊ด€์ธก์†Œ์—์„œ ์ธก์ •๋œ ๊ธฐ์ƒ์ž๋ฃŒ๋ฅผ ์ ์šฉํ•˜์˜€๋‹ค. 2013๋…„๋ถ€ํ„ฐ 2017๋…„๊นŒ์ง€ ์ตœ์†Œ ์„ค์ •์˜จ๋„๊ฐ€ 12โ„ƒ ์ผ ๋•Œ ๊ธฐ์ค€์ž‘๋ฌผ์ฆ๋ฐœ์‚ฐ๋Ÿ‰๊ณผ ๋‚œ๋ฐฉ ์—๋„ˆ์ง€๋ถ€ํ•˜์˜ ํ‰๊ท ๊ฐ’์€ 687mm/year์™€ 2,147GJ/year ๋กœ ์‚ฐ์ •๋˜์—ˆ๋‹ค. ์ตœ์ € ์„ค์ •์˜จ๋„๊ฐ€ 18โ„ƒ์ธ ๊ฒฝ์šฐ ์ฆ๋ฐœ์‚ฐ๋Ÿ‰๊ณผ ๋‚œ๋ฐฉ์—๋„ˆ์ง€ ๋ถ€ํ•˜์˜ ํ‰๊ท ๊ฐ’์€ ๊ฐ๊ฐ 707mm/year์™€ 5,616GJ/year๋กœ ์‚ฐ์ •๋˜์—ˆ๋‹ค. ๋ชจ์˜๋กœ๋ถ€ํ„ฐ ์‹œ์„ค์žฌ๋ฐฐ์ง€์—์„œ ๋ฌผ๊ณผ ์—๋„ˆ์ง€์˜ ๊ด€๊ณ„๋Š” 1.0 ~ 2.6GJ/ํ†ค์œผ๋กœ ์‚ฐ์ •๋˜์—ˆ๋‹ค. ํ–ฅํ›„ ๋‹ค์–‘ํ•œ ์ข…๋ฅ˜์˜ ์˜จ์‹ค์„ ๋Œ€์ƒ์œผ๋กœ ์„ธ๋ถ€ ๋ชจ๋ธ์˜ ๊ฒ€์ฆ์ด ํ•„์š”ํ•˜์ง€๋งŒ, ๋ณธ ์—ฐ๊ตฌ์˜ ๊ฒฐ๊ณผ๋Š” ์‹œ์„ค์žฌ๋ฐฐ ๋‹จ์ง€์—์„œ ์ž์› ๊ด€๊ณ„๋ฅผ ํ‰๊ฐ€ํ•˜๊ธฐ ์œ„ํ•ด ์ ์šฉ ๊ฐ€๋Šฅํ•  ๊ฒƒ์œผ๋กœ ํŒ๋‹จ๋œ๋‹ค.From the advance of Water-Energy-Food Nexus, many people hoped it to play a role in alleviating the worldwide pain arose from resource-overuse. For fully understand the WEF Nexus,analysing inter-linkages among three resources is very important The concept of WEF nexus analysis was first introduced in 2011, which helps to interpret inter-linkages among the resources and stakeholders. The objective of this study was to analyze the relationship between water and energy in greenhouse cultivation. To analyse the water-energy linkage, this study estimated reference evapotranspiration and heating load. For the estimation, this study used the physical model to simulate the inside temperature of the agricultural plastic greenhouse using heating capacity, solar radiation, ventilated and transferred heat losses as input variables. For estimating reference evapotranspiration and heating load, Hargreaves equation and seasonal heating load equation with HDH (Heating Degree-Hour) was applied. For calibration and validation of simulated inside temperature, used were hourly data observed from 2011 to 2012 in the multi-span greenhouse. Results of the simulation were evaluated using R2, MAE and RMSE, which showed 0.69, 2.77, 3.72 for calibration and 0.57, 2.67, 3.86 for validation, respectively. For validation of reference evapotranspiration estimated using Hargreaves equation, SMC (Soil Moisture Content) data measured 1m beneath the surface were applied to the soil water budget method. The results differed 97mm when crop evapotranspiration with soil water budget method was calculated as 640mm. After validating each model, this study was applied to the eight representative regions in Korea. When the minimum setting temperature was 12โ„ƒ from 2013 to 2017, mean values of evapotranspiration and heating load were 687mm/year and 2,147GJ/year. For 18โ„ƒ, Mean values of evapotranspiration and heating load were 707 mm/year and 5,616GJ/year. From the estimation, the relationship between water and heat energy was estimated as 1.0 ~ 2.6GJ/ton. Though additional calibrations with different types of greenhouses are necessary, the results of this study imply that they are applicable when evaluating resource relationship in the greenhouse cultivation complex.์ œ 1 ์žฅ ์„œ ๋ก  1 1.1 ์—ฐ๊ตฌ๋ฐฐ๊ฒฝ ๋ฐ ํ•„์š”์„ฑ 1 1.2 ์—ฐ๊ตฌ๋ชฉ์  4 ์ œ 2 ์žฅ ์—ฐ๊ตฌ์‚ฌ 6 2.1 ๋ฌผ-์—๋„ˆ์ง€-์‹๋Ÿ‰ ๋„ฅ์„œ์Šค 6 2.2 ์‹œ์„ค์žฌ๋ฐฐ์ง€ ์‹ค๋‚ด ์˜จ๋„๋ชจ์˜ 10 2.3 ๊ธฐ์ค€์ž‘๋ฌผ์ฆ๋ฐœ์‚ฐ๋Ÿ‰ ์‚ฐ์ • 11 2.4 ๊ธฐ๊ฐ„๋‚œ๋ฐฉ๋ถ€ํ•˜ ์‚ฐ์ • 15 ์ œ 3 ์žฅ ์žฌ๋ฃŒ ๋ฐ ๋ฐฉ๋ฒ• 17 3.1 ์—ฐ๊ตฌ ๋Œ€์ƒ ์ง€์—ญ 19 3.1.1 ์‹ค๋‚ด์˜จ๋„ ๋ชจ์˜ ๋ฐ ๊ธฐ์ค€์ž‘๋ฌผ์ฆ๋ฐœ์‚ฐ๋Ÿ‰ ์‚ฐ์ • ๋ชจ๋ธ 19 3.1.2 ๋ฌผ-์—๋„ˆ์ง€-์‹๋Ÿ‰ ๋„ฅ์„œ์Šค ๋ถ„์„ 21 3.2 ๋ฌผ-์—๋„ˆ์ง€-์‹๋Ÿ‰ ๋„ฅ์„œ์Šค ๊ตฌ์„ฑ 22 3.3 ์‹œ์„ค์žฌ๋ฐฐ์ง€ ์‹ค๋‚ด ์˜จ๋„๋ชจ์˜ 23 3.4 ๊ธฐ์ค€์ž‘๋ฌผ์ฆ๋ฐœ์‚ฐ๋Ÿ‰ ์‚ฐ์ • ๋ฐ ์ ์šฉ 26 3.4.1 ๊ธฐ์ค€์ž‘๋ฌผ์ฆ๋ฐœ์‚ฐ๋Ÿ‰ ์‚ฐ์ • 26 3.4.2 ๊ธฐ์ค€์ž‘๋ฌผ์ฆ๋ฐœ์‚ฐ๋Ÿ‰ ๋ชจ๋ธ์˜ ์ ์šฉ์„ฑ ํ‰๊ฐ€ 28 3.5 ๋‚œ๋ฐฉ์—๋„ˆ์ง€ ๋ถ€ํ•˜ ์‚ฐ์ • 29 ์ œ 4 ์žฅ ๊ฒฐ๊ณผ ๋ฐ ๊ณ ์ฐฐ 33 4.1 ์‹œ์„ค์žฌ๋ฐฐ์ง€ ์‹ค๋‚ด์˜จ๋„ ๋ชจ์˜ ๊ฒ€์ฆ 33 4.2 ๊ธฐ์ค€์ž‘๋ฌผ์ฆ๋ฐœ์‚ฐ๋Ÿ‰ ์‚ฐ์ • ๊ฒ€์ฆ 38 4.3 ์ง€์—ญ๋ณ„ ๊ธฐ์ค€์ž‘๋ฌผ์ฆ๋ฐœ์‚ฐ๋Ÿ‰ ๋ฐ ๊ธฐ๊ฐ„๋‚œ๋ฐฉ๋ถ€ํ•˜ ์‚ฐ์ • 42 4.4 ์ง€์—ญ๋ณ„ ๋ฌผ-์—๋„ˆ์ง€ ๊ด€๊ณ„ ํ‰๊ฐ€ 55 ์ œ 5 ์žฅ ์š”์•ฝ ๋ฐ ๊ฒฐ๋ก  64 ์ฐธ ๊ณ  ๋ฌธ ํ—Œ 67 Abstract 86Maste

    A Study on Ice Resistance and Ice Load Estimation Methods for Ice-Strengthened Ships

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    Northern Sea Route is the shortest sea route linking East Asia and Europe, which shortens 35%๏ฝž60% in distance via Suez Canal route. It also shortens 7๏ฝž10 days in transportation time. Another reason for the potential economic benefits in the NSR shipping is that the Russian Arctic holds enormous amount of oil and natural gas. However the natural environment of the Arctic Ocean is too hostile to navigate through the NSR without remarkable advances in ship technology. As a basic study on ice-transiting vessels, this study focuses on ice resistance and ice load estimation methods by gathering model tests and full-scale sea trial data from many previous research articles. The ice resistance data and its empirical/semi-empirical prediction equations are summarized in common format and are compared with each other, based on three ship categories, i.e, icebreakers, tug/supply vessels, ice-strengthened cargo ships. Also the estimation methods of extreme ice load acting on ship's hull are studied with a similar manner. Sample calculation of extreme ice loads(global and local loads) are performed and the results are compared with each other.Abstract i ๋ชฉ ์ฐจ ii ํ‘œ ๋ชฉ์ฐจ iii ๊ทธ๋ฆผ ๋ชฉ์ฐจ iv 1. ์„œ ๋ก  1 2. ๋ถ๊ทนํ•ด ํ•ญ๋กœ(Northern Sea Route, NSR) 3 2.1 ๋ถ๊ทนํ•ด ํ•ญ๋กœ์˜ ์ •์˜์™€ ๊ฒฝ์ œ์„ฑ 3 2.2 ๋ถ๊ทนํ•ด ํ•ญ๋กœ์˜ ๋น™์ƒํ™˜๊ฒฝ 5 3. ๋น™์ €ํ•ญ 10 3.1 ๊ฐœ ์š” 10 3.2 ๋น™์ €ํ•ญ ์‚ฐ์ •์‹ 11 3.3 ๋น™์ €ํ•ญ ์‚ฐ์ •์‹ ์š”์•ฝ 53 3.4 ๋น™์ €ํ•ญ ์‚ฐ์ •์‹์˜ ๋น„๊ต ๋ฐ ๊ฒ€ํ†  55 4. ๊ทนํ•œ ๋น™ํ•˜์ค‘ 62 4.1 ๊ฐœ ์š” 62 4.2 ๊ทนํ•œ ๋น™ํ•˜์ค‘ 63 4.3 ๊ทนํ•œ ๋น™ํ•˜์ค‘ ๊ณ„์‚ฐ ์˜ˆ 68 5. ๊ฒฐ ๋ก  73 ์ฐธ๊ณ ๋ฌธํ—Œ 74 ๋ถ€ ๋ก 80 A. ๊ฐ๊ตญ์˜ ์‡„๋น™์„ ๋ฐ• ํ˜„ํ™ฉ๊ณผ ์ฃผ์š” ์š”๋ชฉ 80 B. ์‡„๋น™์„ ๋ฐ•์˜ ์ฃผ์š” ์š”๋ชฉ์˜ ๊ฒฝํ–ฅ 8

    ์„ฑ๋ณ„์— ๋”ฐ๋ฅธ ๋…ธ์ธ์˜ ํ™˜๊ฒฝ์œ ํ•ด์ธ์ž ๋…ธ์ถœ๊ด€๋ จ ๊ฑด๊ฐ•ํ–‰ํƒœ์™€ ๊ฑด๊ฐ•์ˆ˜์ค€

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋ณด๊ฑด๋Œ€ํ•™์› : ๋ณด๊ฑดํ•™๊ณผ ๋ณด๊ฑด์ •์ฑ…๊ด€๋ฆฌํ•™์ „๊ณต, 2016. 8. ๊น€ํ™์ˆ˜.๋…ธ์ธ์€ ํ™˜๊ฒฝ์œ ํ•ด์ธ์ž์— ๋Œ€ํ•œ ๋…ธ์ถœ์ˆ˜์ค€์ด ๋†’์œผ๋ฉฐ, ์ด๋กœ ์ธํ•œ ๋…์„ฑ ์˜ํ–ฅ์ด ์ผ๋ฐ˜ ์ธ๊ตฌ์ง‘๋‹จ๋ณด๋‹ค ๋” ํฌ๊ฒŒ ๋‚˜ํƒ€๋‚œ๋‹ค. ๋”ฐ๋ผ์„œ ๋…ธ์ธ ์ง‘๋‹จ์„ ๋Œ€์ƒ์œผ๋กœ ํ•œ ํ™˜๊ฒฝ์œ ํ•ด์ธ์ž ๋…ธ์ถœ ๊ฐ์†Œ ๋ฐ ๊ฑด๊ฐ•์ฆ์ง„์„ ์œ„ํ•œ ๋ฐฉ์•ˆ ๋ชจ์ƒ‰์ด ํ•„์š”ํ•˜๋‚˜, ๋Œ€๋‹ค์ˆ˜์˜ ์—ฐ๊ตฌ๋Š” ์˜ค์—ผ๋ฌผ์งˆ ๊ด€๋ฆฌ ์ค‘์‹ฌ์ด๋ฉฐ ๋ณด๊ฑด์ •์ฑ…์ด ๊ฐœ์ž…ํ•  ์ˆ˜ ์žˆ๋Š” ํ–‰ํƒœ์— ๋Œ€ํ•œ ์—ฐ๊ตฌ๋Š” ๊ฑฐ์˜ ์ด๋ฃจ์–ด์ง€์ง€ ์•Š๊ณ  ์žˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ์˜ ๋ชฉ์ ์€ ์šฐ๋ฆฌ๋‚˜๋ผ ์ง€์—ญ์‚ฌํšŒ์— ๊ฑฐ์ฃผํ•˜๋Š” 60์„ธ ์ด์ƒ ๋‚จ๋…€๋…ธ์ธ์˜ ํ™˜๊ฒฝ์œ ํ•ด์ธ์ž ๋…ธ์ถœ๊ด€๋ จ ๊ฑด๊ฐ•ํ–‰ํƒœ๋ฅผ ํŒŒ์•…ํ•˜๊ณ  ์ด์— ๋”ฐ๋ฅธ ๊ฑด๊ฐ•์ˆ˜์ค€์„ ์•Œ์•„๋ณด๊ณ ์ž ํ•˜๋Š” ๊ฒƒ์ด๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ๊ตญ๋ฆฝํ™˜๊ฒฝ๊ณผํ•™์›์—์„œ ๋…ธ๋ น์ธ๊ตฌ์˜ ๊ฑด๊ฐ•๋ณดํ˜ธ ๋ฐ ํ™˜๊ฒฝ๋ณด๊ฑด ์ฆ์ง„ ๋ฐฉ์•ˆ ๋„์ถœ์„ ์œ„ํ•ด ์‹œํ–‰ํ•œ ๋…ธ๋ น์ธ๊ตฌ์˜ ํ™˜๊ฒฝ์œ ํ•ด์ธ์ž ๋…ธ์ถœ ๋ฐ ๊ฑด๊ฐ•์˜ํ–ฅ ์—ฐ๊ตฌ ์ž๋ฃŒ๋ฅผ ํ™œ์šฉํ•˜์˜€๋‹ค. 2014๋…„ 11์›”๋ถ€ํ„ฐ 2015๋…„ 4์›”์— ๊ฑธ์ณ ์ž๋ฃŒ๊ฐ€ ์ˆ˜์ง‘๋˜์—ˆ์œผ๋ฉฐ, ๋ณธ ์—ฐ๊ตฌ๋Š” ์ˆ˜์ง‘๋œ ์ž๋ฃŒ ์ค‘ ์—ฐ๊ตฌ๋Œ€์ƒ์ž์˜ ์„ฑ๋ณ„, ์—ฐ๋ น, ๊ต์œก์ˆ˜์ค€, ์šฉ๋ˆ, ์ง€์—ญ, ๊ฑด๋ฌผํ˜•ํƒœ ๋“ฑ์˜ ์ธ๊ตฌ์‚ฌํšŒ๊ฒฝ์ œ์  ํŠน์„ฑ๊ณผ ํ™”ํ•™์•ฝํ’ˆ ์‚ฌ์šฉ, ํ‰์†Œํ™˜๊ธฐ์‹œ๊ฐ„, ์† ์”ป๊ธฐ์™€ ๊ฐ™์€ ๊ฑด๊ฐ•ํ–‰ํƒœ, ๊ทธ๋ฆฌ๊ณ  ์š” ์ค‘ 3-Phenoxy benzoic Acid(3-PBA)์™€ ์ฃผ๊ด€์  ๊ฑด๊ฐ•์ƒํƒœ๋กœ ์ธก์ •ํ•œ ๊ฑด๊ฐ•์ˆ˜์ค€์— ๋Œ€ํ•œ ์ž๋ฃŒ๋ฅผ ์ด์šฉํ•˜์˜€๋‹ค. ์ด 800๋ช…์˜ ๋‚จ๋…€๋…ธ์ธ์„ ๋ถ„์„๋Œ€์ƒ์œผ๋กœ ํ•˜์˜€์œผ๋ฉฐ, ๊ธฐ์ˆ  ๋ถ„์„๊ณผ ๋‹ค์ค‘ ๋กœ์ง€์Šคํ‹ฑ ํšŒ๊ท€๋ถ„์„ ๋ฐ ์ผ๋ฐ˜์„ ํ˜•๋ชจ๋ธ(GLM)์„ ์ด์šฉํ•œ ํ†ต๊ณ„๋ถ„์„์„ ํ†ตํ•ด ์•Œ์•„๋ณด์•˜๋‹ค. ์—ฐ๊ตฌ๊ฒฐ๊ณผ, ๋…ธ์ธ์˜ ์„ฑ๋ณ„์— ๋”ฐ๋ผ ํ™”ํ•™์•ฝํ’ˆ ์‚ฌ์šฉ๊ณผ ํ‰์†Œํ™˜๊ธฐ์‹œ๊ฐ„์— ์ฐจ์ด๊ฐ€ ์žˆ์—ˆ์œผ๋ฉฐ, ์—ฌ์„ฑ๋…ธ์ธ์˜ ์š” ์ค‘ 3-PBA ๋†๋„๊ฐ€ ๋†’๊ณ  ์ฃผ๊ด€์  ๊ฑด๊ฐ•์ƒํƒœ๊ฐ€ ๋‚ฎ์•„ ๋‚จ์„ฑ๋…ธ์ธ๋ณด๋‹ค ๊ฑด๊ฐ•์ˆ˜์ค€์ด ๋‚ฎ์€ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋‚จ๋…€๋…ธ์ธ๋ณ„๋กœ ํ™˜๊ฒฝ์œ ํ•ด์ธ์ž ๋…ธ์ถœ๊ด€๋ จ ๊ฑด๊ฐ•ํ–‰ํƒœ์— ์œ ์˜ํ•œ ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ์‚ฌํšŒ๊ฒฝ์ œ์  ํŠน์„ฑ์ด ๋‹ค๋ฅด๊ฒŒ ๋‚˜ํƒ€๋‚ฌ์œผ๋‚˜, ์‚ฌํšŒ๊ฒฝ์ œ์  ํŠน์„ฑ๊ณผ ์š” ์ค‘ 3-PBA ๊ฐ„์—๋Š” ์œ ์˜ํ•œ ์—ฐ๊ด€์„ฑ์„ ํ™•์ธํ•˜์ง€ ๋ชปํ•˜์˜€๋‹ค. ์ตœ์ข…์ ์œผ๋กœ ์‚ฌํšŒ๊ฒฝ์ œ์  ํŠน์„ฑ์„ ํ†ต์ œํ•˜๊ณ , ํ™˜๊ฒฝ์œ ํ•ด์ธ์ž ๋…ธ์ถœ๊ด€๋ จ ๊ฑด๊ฐ•ํ–‰ํƒœ์™€ ๊ฑด๊ฐ•์ˆ˜์ค€์˜ ๊ด€๊ณ„๋ฅผ ๋ถ„์„ํ•œ ๊ฒฐ๊ณผ, ๋‚จ์„ฑ๋…ธ์ธ์€ ์ฃผ๊ด€์  ๊ฑด๊ฐ•์ƒํƒœ์— ์† ์”ป๊ธฐ๊ฐ€, ์—ฌ์„ฑ๋…ธ์ธ์€ ์š” ์ค‘ 3-PBA ๋…ธ์ถœ์ˆ˜์ค€์— ํ‰์†Œํ™˜๊ธฐ์‹œ๊ฐ„์ด ์ฃผ์š”ํ•œ ์˜ํ–ฅ์š”์ธ์ด์—ˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ์˜ ๊ฒฐ๊ณผ๋Š” ์šฐ๋ฆฌ๋‚˜๋ผ ์ง€์—ญ์‚ฌํšŒ ๋‚จ๋…€๋…ธ์ธ๋“ค์˜ ํ™˜๊ฒฝ์œ ํ•ด์ธ์ž ๋…ธ์ถœ๊ด€๋ จ ๊ฑด๊ฐ•ํ–‰ํƒœ์™€ ๊ฑด๊ฐ•์ˆ˜์ค€์— ์ฐจ์ด๊ฐ€ ์กด์žฌํ•จ์„ ๋ณด์—ฌ์ฃผ์—ˆ๋‹ค. ์‚ฌํšŒ๊ฒฝ์ œ์  ํŠน์„ฑ์„ ํ†ต์ œํ•œ ํ›„์—๋„ ๊ฑด๊ฐ•ํ–‰ํƒœ๋Š” ๋…ธ์ธ์˜ ๊ฑด๊ฐ•์ˆ˜์ค€์— ์œ ์˜ํ•œ ์—ฐ๊ด€์„ฑ์„ ๋ณด์˜€๊ณ , ์ด๋Š” ๋…ธ์ธ์˜ ๊ฑด๊ฐ•์— ์ค‘์š”ํ•œ ๋ณ€์ˆ˜๋กœ ์ž‘์šฉํ•  ์ˆ˜ ์žˆ๋‹ค๋Š” ๊ฒƒ์„ ๋ณด์—ฌ์ค€๋‹ค. ํ–ฅํ›„์˜ ์—ฐ๊ตฌ์—์„œ๋Š” ๋‚จ๋…€๋…ธ์ธ์˜ ๊ฑด๊ฐ•์„ ์„ค๋ช…ํ•˜๋Š”๋ฐ ์žˆ์–ด ์ข€ ๋” ๋‹ค์–‘ํ•œ ํ™˜๊ฒฝ์ง€ํ‘œ๋ฅผ ํ™œ์šฉํ•˜์—ฌ ๋‹ค๊ฐ์ ์œผ๋กœ ์ ‘๊ทผํ•  ํ•„์š”์„ฑ์ด ์žˆ์œผ๋ฉฐ, ํ™˜๊ฒฝ์  ํ–‰ํƒœ์™€ ํ™˜๊ฒฝ์œ ํ•ด์ธ์ž ๊ทธ๋ฆฌ๊ณ  ๊ฑด๊ฐ•์— ์ด๋ฅด๋Š” ์ผ๋ จ์˜ ๊ณผ์ •๋“ค์„ ํ†ตํ•ฉ์ ์œผ๋กœ ๋‹ค๋ฃจ๋Š” ์—ฐ๊ตฌ๊ฐ€ ์ง€์†์ ์œผ๋กœ ์ด๋ฃจ์–ด์ ธ์•ผ ํ•˜๊ฒ ๋‹ค.์ œ1์žฅ ์„œ๋ก  1 ์ œ1์ ˆ ์—ฐ๊ตฌ๋ฐฐ๊ฒฝ ๋ฐ ํ•„์š”์„ฑ 1 ์ œ2์ ˆ ์—ฐ๊ตฌ๋ชฉ์  4 ์ œ2์žฅ ์„ ํ–‰์—ฐ๊ตฌ ๊ณ ์ฐฐ 5 ์ œ1์ ˆ ํ™˜๊ฒฝ์œ ํ•ด์ธ์ž ๋…ธ์ถœ๊ด€๋ จ ๊ฑด๊ฐ•ํ–‰ํƒœ 5 ์ œ2์ ˆ ํ™˜๊ฒฝ์œ ํ•ด์ธ์ž ๋…ธ์ถœ๊ด€๋ จ ๊ฑด๊ฐ•์ˆ˜์ค€ 9 1. 3-PBA 9 2. ์ฃผ๊ด€์  ๊ฑด๊ฐ•์ƒํƒœ 11 ์ œ3์ ˆ ์ธ๊ตฌ์‚ฌํšŒ๊ฒฝ์ œ์  ํŠน์„ฑ๊ณผ ํ™˜๊ฒฝ์œ ํ•ด์ธ์ž ๋…ธ์ถœ๊ด€๋ จ ๊ฑด๊ฐ•ํ–‰ํƒœ ๊ทธ๋ฆฌ๊ณ  ๊ฑด๊ฐ•์ˆ˜์ค€ 14 ์ œ4์ ˆ ๊ฑด๊ฐ•์˜ ์„ฑ๋ณ„์ฐจ์ด 18 1. ๊ฑด๊ฐ•์˜ ์„ฑ๋ณ„์ฐจ์ด์— ๋Œ€ํ•œ ์ƒ๋ฌผํ•™์  ์„ค๋ช… 18 2. ๊ฑด๊ฐ•์˜ ์„ฑ๋ณ„์ฐจ์ด์— ๋Œ€ํ•œ ์‚ฌํšŒ์  ์„ค๋ช… 19 3. ๊ฑด๊ฐ•์˜ ์„ฑ๋ณ„์ฐจ์ด์— ๋Œ€ํ•œ ์ด๋ก ์  ํ‹€ 21 ์ œ3์žฅ ์—ฐ๊ตฌ๋ฐฉ๋ฒ• 24 ์ œ1์ ˆ ์—ฐ๊ตฌ์ž๋ฃŒ ๋ฐ ๋Œ€์ƒ 24 ์ œ2์ ˆ ์—ฐ๊ตฌ๋ชจํ˜• 25 ์ œ3์ ˆ ์—ฐ๊ตฌ๋ณ€์ˆ˜ 26 ์ œ4์ ˆ ๋ถ„์„๋ฐฉ๋ฒ• 28 ์ œ4์žฅ ์—ฐ๊ตฌ๊ฒฐ๊ณผ 29 ์ œ1์ ˆ ์—ฐ๊ตฌ๋Œ€์ƒ์ž์˜ ์ผ๋ฐ˜์  ํŠน์„ฑ 29 1. ์—ฐ๊ตฌ๋Œ€์ƒ์ž์˜ ์‚ฌํšŒ๊ฒฝ์ œ์  ํŠน์„ฑ 29 2. ์—ฐ๊ตฌ๋Œ€์ƒ์ž์˜ ํ™˜๊ฒฝ์œ ํ•ด์ธ์ž ๋…ธ์ถœ๊ด€๋ จ ๊ฑด๊ฐ•ํ–‰ํƒœ 31 3. ์—ฐ๊ตฌ๋Œ€์ƒ์ž์˜ ๊ฑด๊ฐ•์ˆ˜์ค€ 32 ์ œ2์ ˆ ๋‚จ๋…€๋…ธ์ธ์˜ ํ™˜๊ฒฝ์œ ํ•ด์ธ์ž ๋…ธ์ถœ๊ด€๋ จ ๊ฑด๊ฐ•ํ–‰ํƒœ์™€ ๊ฑด๊ฐ•์ˆ˜์ค€์˜ ๊ด€๊ณ„ 33 1. ์š” ์ค‘ 3-PBA 33 2. ์ฃผ๊ด€์  ๊ฑด๊ฐ•์ƒํƒœ 34 ์ œ3์ ˆ ๋‚จ๋…€๋…ธ์ธ์˜ ์‚ฌํšŒ๊ฒฝ์ œ์  ํŠน์„ฑ๊ณผ ํ™˜๊ฒฝ์œ ํ•ด์ธ์ž ๋…ธ์ถœ๊ด€๋ จ ๊ฑด๊ฐ•ํ–‰ํƒœ์˜ ๊ด€๊ณ„ 35 ์ œ4์ ˆ ๋‚จ๋…€๋…ธ์ธ์˜ ์‚ฌํšŒ๊ฒฝ์ œ์  ํŠน์„ฑ๊ณผ ๊ฑด๊ฐ•์ˆ˜์ค€์˜ ๊ด€๊ณ„ 38 1. ์š” ์ค‘ 3-PBA 38 2. ์ฃผ๊ด€์  ๊ฑด๊ฐ•์ƒํƒœ 40 ์ œ5์ ˆ ๋‚จ๋…€๋…ธ์ธ์˜ ์‚ฌํšŒ๊ฒฝ์ œ์  ํŠน์„ฑ ๋ฐ ํ™˜๊ฒฝ์œ ํ•ด์ธ์ž ๋…ธ์ถœ๊ด€๋ จ ๊ฑด๊ฐ•ํ–‰ํƒœ์™€ ๊ฑด๊ฐ•์ˆ˜์ค€์˜ ๊ด€๊ณ„ 42 1. ์š” ์ค‘ 3-PBA 42 2. ์ฃผ๊ด€์  ๊ฑด๊ฐ•์ƒํƒœ 44 ์ œ5์žฅ ๊ณ ์ฐฐ 46 ์ฐธ๊ณ  ๋ฌธํ—Œ 57 Abstract 73Maste

    Multi-functional Wetland Botanic Garden Design through Networking the Existing Wetland Resources : Focused on Dong River Detention Reservoir in Suncheon

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ํ™˜๊ฒฝ๋Œ€ํ•™์› : ํ™˜๊ฒฝ๋Œ€ํ•™์› ํ™˜๊ฒฝ์กฐ๊ฒฝํ•™๊ณผ, 2016. 2. ์„ฑ์ข…์ƒ.๋งŽ์€ ๋‚˜๋ผ๋“ค์ด ๋’ค๋Šฆ๊ฒŒ์•ผ ์Šต์ง€์˜ ์ƒํƒœ์  ์—ญํ• ๊ณผ ๊ฐ€์น˜๋ฅผ ๊นจ๋‹ซ๊ณ  ํ›ผ์†๋œ ์Šต์ง€๋ฅผ ๋ณต์›ํ•˜๊ธฐ ์œ„ํ•ด ์›€์ง์ด๊ณ  ์žˆ๋‹ค. ์šฐ๋ฆฌ๋‚˜๋ผ๋„ ๋„์‹œ ๋‚ด์— ์Šต์ง€๋ฅผ ํฌํ•จํ•œ ์ƒํƒœ๊ณต์›๋“ค์ด ๋งŽ์ด ์ƒ๊ฒจ๋‚˜๊ธฐ ์‹œ์ž‘ํ–ˆ๊ณ , ์Šต์ง€์— ๋Œ€ํ•œ ์—ฐ๊ตฌ๋„ ๋‹ค๋ฐฉ๋ฉด์œผ๋กœ ์ด๋ฃจ์–ด์ง€๊ณ  ์žˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์Šต์ง€๊ฐ€ ๋„์‹œ์— ์ œ๊ณตํ•˜๋Š” ๋งŽ์€ ๊ธฐ๋Šฅ์— ๋น„ํ•ด ์Šต์ง€๋ฅผ ์ ๊ทน์ ์œผ๋กœ ํ™œ์šฉํ•˜๊ธฐ ๋ณด๋‹ค๋Š” ๊ทธ๋Œ€๋กœ ๋ฐฉ์น˜ํ•˜๊ฑฐ๋‚˜ ๋„์‹œ ๋‚ด ๊ฒฝ๊ด€์ ์ธ ์š”์†Œ๋กœ๋งŒ ํ™œ์šฉํ•˜๊ณ  ์žˆ๋Š” ์‹ค์ •์ด๋‹ค. ํ•œํŽธ, ์ƒ๋ฌผ๋‹ค์–‘์„ฑ ๋ฌธ์ œ๊ฐ€ ์‹ฌ๊ฐํ•˜๊ฒŒ ๋Œ€๋‘๋˜๋ฉด์„œ ์‹๋ฌผ์˜ ์œ ์ „์ž์› ๋ณด์กด๊ณผ ์ด์— ๋Œ€ํ•œ ์—ฐ๊ตฌ ๊ธฐ๊ด€์œผ๋กœ ์„ค๋ฆฝ๋œ ์‹๋ฌผ์›์€ ๋งŽ์€ ์‚ฌ๋žŒ๋“ค์—๊ฒŒ ํ™˜๊ฒฝ ๊ณผํ•™์„ ๋Œ€๋ณ€ํ•˜๋ฉฐ ํ™œ๋ฐœํ•œ ์—ญํ• ์„ ํ•ด์˜ค๊ณ  ์žˆ๋‹ค. ์šฐ๋ฆฌ๋‚˜๋ผ์—์„œ๋„ ์‹๋ฌผ์›์€ ๋น ๋ฅธ ์†๋„๋กœ ์ฆ๊ฐ€ํ•˜๊ณ  ์žˆ์œผ๋‚˜ ์•„์ง ํŠน์„ฑํ™”๋ฉด์—์„œ๋Š” ๋†’์€ ํ‰๊ฐ€๋ฅผ ๋ฐ›์ง€ ๋ชปํ•˜๊ณ  ์žˆ์œผ๋ฉฐ, ๊ฐœ์„ฑ ์žˆ๋Š” ์‹๋ฌผ์› ์„ค๋ฆฝ์„ ์œ„ํ•ด ์ง€์—ญ์˜ ํŠน์ƒ‰์ด๋‚˜ ํŠน์ง•์— ๋งž๋Š” ์‹๋ฌผ์› ์กฐ์„ฑ์„ ํ•ด์•ผ ํ•œ๋‹ค๋Š” ๋ชฉ์†Œ๋ฆฌ๊ฐ€ ๋†’์•„์ง€๊ณ  ์žˆ๋‹ค. ์ด๋ ‡๋“ฏ ๋„์‹œ๋ฏผ์˜ ํœด์‹๊ณต๊ฐ„์œผ๋กœ ํ™œ์šฉ๋˜์–ด ์˜จ ๋„์‹œ์Šต์ง€์™€ ์‹๋ฌผ์›์€ ๊ฐ๊ฐ ๋„์‹œ์—์„œ ๋‹ด๋‹นํ•˜๋Š” ์—ญํ• ์ด ์ ์  ๋” ์ปค์ ธ๊ฐ€๊ณ  ์žˆ์œผ๋ฉฐ, ๊ฐ€์ง€๊ณ  ์žˆ๋Š” ํŠน์ง•๊ณผ ์žฅ์ ์„ ์ตœ๋Œ€ํ•œ์œผ๋กœ ์‚ด๋ ค ํ™œ์šฉ๋˜๊ณ  ๋ฐœ์ „๋˜์–ด์•ผํ•œ๋‹ค๋Š” ์‹œ์‚ฌ์ ์„ ๊ฐ€์ง€๊ณ  ์žˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์‹๋ฌผ์›์˜ ํŠน์„ฑํ™”๊ฐ€ ์Šต์ง€๋ฅผ ํ†ตํ•ด ์ด๋ฃจ์–ด์งˆ ์ˆ˜ ์žˆ์œผ๋ฉฐ, ์‹๋ฌผ์›์œผ๋กœ์จ ๋„์‹œ ๋‚ด ์Šต์ง€ํ™œ์šฉ์— ๋Œ€ํ•œ ์—ฐ๊ตฌ๊ฐ€ ๋ณด์™„๋  ์ˆ˜ ์žˆ๋‹ค๋Š” ๊ฐ€๋Šฅ์„ฑ์„ ์ œ์‹œํ•˜๊ณ ์ž ํ•œ๋‹ค. ๋˜ํ•œ ๋ณธ ์—ฐ๊ตฌ๋Š” ์Šต์ง€์˜ ์—ญํ• ๊ณผ ๊ฐ€์น˜๋ฅผ ๋‚˜ํƒ€๋‚ผ ์ˆ˜ ์žˆ๋Š” ์ƒˆ๋กœ์šด ์‹๋ฌผ์› ๋ชจ๋ธ์„ ์„ค๊ณ„ํ•˜๋Š” ๋ฐ์— ๋ชฉ์ ์ด ์žˆ๋‹ค. ์Šต์ง€์ง€ํ˜•์— ๋งž๋Š” ์ ํ•ฉํ•œ ์Šต์ง€์‹๋ฌผ์˜ ์ „์‹œ๋ฐฉ๋ฒ•์— ๋Œ€ํ•ด ๊ณ ์•ˆํ•˜๊ณ , ์—ฌ๋Ÿฌ ํ™˜๊ฒฝ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•  ์ˆ˜ ์žˆ๋Š” ์Šต์ง€์˜ ๊ธฐ๋Šฅ์„ ์„ค๊ณ„์— ํ™œ์šฉํ•˜์—ฌ ๋„์‹œ ๋‚ด ์ธํ”„๋ผ๋กœ์„œ ๊ฐ€๋Šฅ์„ฑ์„ ์ œ์‹œํ•˜๊ณ ์ž ํ•œ๋‹ค. ์ด๋ฅผ ํ†ตํ•ด ์Šต์ง€ ํ™œ์šฉ๊ณผ ์‹๋ฌผ์›์˜ ๋ฐœ์ „๋ฐฉํ–ฅ์— ๋Œ€ํ•ด ๋‹ค์–‘ํ•œ ์‹œ๊ฐ์œผ๋กœ ๋ฐ”๋ผ๋ณด๊ณ , ๋‘ ๊ฐ€์ง€๋ฅผ ์œตํ•ฉํ•˜์—ฌ ๋”์šฑ ํ™œ๋ฐœํ•˜๊ฒŒ ์ž‘๋™ํ•˜๋Š” ๋„์‹œ ์ธํ”„๋ผ๋กœ์„œ ๋ฐœ์ „์‹œํ‚ค๊ณ ์ž ํ•˜๋Š” ๋ฐ์— ๋ณธ ์—ฐ๊ตฌ์˜ ์˜์˜๊ฐ€ ์žˆ๋‹ค. ๋Œ€์ƒ์ง€์˜ ํ™˜๊ฒฝ์  ๋ฌธ์ œ๋“ค์„ ์Šต์ง€๋ฅผ ์ด์šฉํ•œ ์ƒํƒœ์ ์ธ ๋ฐฉ๋ฒ•์œผ๋กœ ํ•ด๊ฒฐํ•˜๊ณ , ๋™์‹œ์— ์‹๋ฌผ์›์œผ๋กœ์„œ ์Šต์ง€์‹๋ฌผ ์ „์‹œ ๋ฐ ๋„์‹œ๋ฏผ์˜ ๋ฌธํ™”๋ฅผ ๋‹ด์„ ์ˆ˜ ์žˆ๋Š” ์ง„ํ™”๋œ ํ˜•ํƒœ์˜ ์‹๋ฌผ์›์„ ์ œ์•ˆํ•˜๊ณ ์ž ํ•œ๋‹ค. ๋ณธ ์—ฐ๊ตฌ์˜ ๋Œ€์ƒ์ง€๋Š” ์ˆœ์ฒœ์‹œ์˜ ๋™์ฒœ๋ณ€ ์ €๋ฅ˜์ง€์ง€์—ญ์œผ๋กœ, ์ˆœ์ฒœ์‹œ ํ’๋•๋™๊ณผ ์˜ค์ฒœ๋™ ์ผ์›์— ๊ฑธ์ณ์ ธ์žˆ๋Š” ์•ฝ 245,000mยฒ(์•ฝ 74,700ํ‰) ๊ทœ๋ชจ์˜ ์ง€์—ญ์ด๋‹ค. ๋™์ชฝ์œผ๋กœ๋Š” ์ง€๋ฐฉํ•˜์ฒœ์ธ ๋™์ฒœ์ด ํ˜๋Ÿฌ, ํ˜„์žฌ ์ €๋ฅ˜์ง€๋กœ์„œ ๋„์‹œ ๋‚ด ํ™์ˆ˜์˜ˆ๋ฐฉ ๊ธฐ๋Šฅ์„ ํ•˜๊ณ  ์žˆ์œผ๋ฉฐ, 2011๋…„ ์ €๋ฅ˜์ง€ ๊ณต์›์œผ๋กœ ๊ณ„ํš์ด ๋˜์—ˆ์œผ๋‚˜ ์•„์ง ์ง„ํ–‰์ด ๋ถ€์ง„ํ•œ ์ƒํƒœ์ด๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ๋Œ€์ƒ์ง€๋ฅผ ๋‘˜๋Ÿฌ์‹ธ๊ณ  ์˜ค์ฒœ ํƒ์ง€๊ฐœ๋ฐœ์ง€๊ตฌ ๋ฐ ๊ต์œก์‹œ์„ค์ด, ๋‚จ์ชฝ์œผ๋กœ๋Š” ์ˆœ์ฒœ๋งŒ์ •์›์ด ์ธ์ ‘ํ•ด์žˆ์œผ๋ฏ€๋กœ ๋‹ค์–‘ํ•œ ์ฐธ์—ฌ, ๊ต์œก ํ”„๋กœ๊ทธ๋žจ๊ณผ ๊ณต๊ฐ„ ๊ตฌ์ƒ ๋ฐ ํ”„๋กœ๊ทธ๋žจ์ด ๊ฐ€๋Šฅํ•˜๋‹ค๋Š” ์ž ์žฌ๋ ฅ์„ ์ง€๋‹Œ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ์ด๋Ÿฌํ•œ ๋Œ€์ƒ์ง€์— ๋Œ€ํ•œ ๋ถ„์„์„ ๋ฐ”ํƒ•์œผ๋กœ, ์Šต์ง€์‹๋ฌผ์› ์„ค๊ณ„๋ฅผ ํ†ตํ•ด ํ˜„์žฌ ๋Œ€์ƒ์ง€์˜ ์ €๋ฅ˜์ง€ ๊ธฐ๋Šฅ์„ ํ–ฅ์ƒ์‹œํ‚ค๋ฉด์„œ ๋™์‹œ์— ์‹๋ฌผ์›์œผ๋กœ์„œ ๋„์‹œ์™€ ๋™์ฒœ์„ ์œ ๊ธฐ์ ์œผ๋กœ ์—ฐ๊ฒฐ์‹œํ‚ค๊ณ ์ž ํ•˜์˜€๋‹ค. ์—ฌ๋Ÿฌ ๊ฐœ์˜ ๋ถ„์‚ฐ์Šต์ง€๋ฅผ ์กฐ์„ฑํ•˜๋Š” ๋ฐฉ๋ฒ•์œผ๋กœ ํ™์ˆ˜ ์‹œ ์ˆ˜์œ„๋ณ€ํ™”์— ๋”ฐ๋ผ ์ €๋ฅ˜๊ตฌ์—ญ์„ ์„ค์ •ํ•˜์˜€๊ณ , ๊ทธ ๊ณผ์ •์—์„œ ์ด๋ฃจ์–ด์งˆ ์ˆ˜ ์žˆ๋Š” ๋‹ค์–‘ํ•œ ๊ณต๊ฐ„ ํ”„๋กœ๊ทธ๋žจ ๋ฐ ํ™œ๋™ํ”„๋กœ๊ทธ๋žจ์„ ์ œ์‹œํ•˜์—ฌ ์‹๋ฌผ์›์˜ ํšจ์œจ์ ์ธ ๊ณต๊ฐ„์ด์šฉ์ด ๊ฐ€๋Šฅํ•˜๋„๋ก ํ•˜์˜€๋‹ค. ๋Œ€์ƒ์ง€์˜ ํŠน์„ฑ์„ ์ตœ๋Œ€ํ•œ ํ™œ์šฉํ•˜์—ฌ ์Šต์ง€์‹๋ฌผ์›์„ ์กฐ์„ฑํ•จ์œผ๋กœ์จ ์ƒํƒœ์ ์ธ ๊ณผ์ •์ด ๊ฐ€์‹œํ™” ๋˜๊ณ  ๋”๋ถˆ์–ด ๋„์‹œ ๋ฌธํ™”๋ฅผ ๋‹ด๋Š” ์ง„ํ™”๋œ ์‹๋ฌผ์›์œผ๋กœ ์—ญํ• ์„ ํ•  ๊ฒƒ์œผ๋กœ ๊ธฐ๋Œ€๋œ๋‹ค.์ œ1์žฅ ์„œ๋ก  01 ์ œ 1์ ˆ ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ๋ฐ ๋ชฉ์  01 1. ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ 01 2. ์—ฐ๊ตฌ ๋ชฉ์  ๋ฐ ์˜์˜ 04 ์ œ 2์ ˆ ์—ฐ๊ตฌ์˜ ๋ฒ”์œ„ 05 1. ๊ณต๊ฐ„์  ๋ฒ”์œ„ 05 2. ๋‚ด์šฉ์  ๋ฒ”์œ„ 07 ์ œ 3์ ˆ ์„ค๊ณ„์˜ ์ง„ํ–‰๊ณผ์ • 08 ์ œ2์žฅ ์ด๋ก ์  ๊ณ ์ฐฐ ๋ฐ ์‚ฌ๋ก€์—ฐ๊ตฌ 09 ์ œ 1์ ˆ ์Šต์ง€์— ๋Œ€ํ•œ ์ดํ•ด 09 1. ์Šต์ง€์˜ ์ •์˜ ๋ฐ ๋ถ„๋ฅ˜ 09 2. ์Šต์ง€ ๋ฐ ๋„์‹œ์Šต์ง€์˜ ๊ธฐ๋Šฅ 12 3. ์ธ๊ณต์Šต์ง€์˜ ๋‹ค๊ธฐ๋Šฅ์  ํ™œ์šฉ 15 4. ์Šต์ง€์‹๋ฌผ์˜ ์ดํ•ด 17 ์ œ 2์ ˆ ์Šต์ง€์‹๋ฌผ์› ๊ฐœ๋… ์ •๋ฆฝ 19 1. ์‹๋ฌผ์›์˜ ์ •์˜ ๋ฐ ๊ฐœ๋… 19 2. ์‹๋ฌผ์›์˜ ๊ธฐ๋Šฅ๊ณผ ์—ญํ•  20 3. ์‹๋ฌผ์›์˜ ๋ฐœ์ „๋ฐฉํ–ฅ 22 4. ์Šต์ง€์‹๋ฌผ์›์˜ ์ดํ•ด 24 ์ œ 3์ ˆ ์Šต์ง€์‹๋ฌผ์›์˜ ๋„์‹œ ๊ทธ๋ฆฐ์ธํ”„๋ผ์  ํ™œ์šฉ 25 ์ œ 4์ ˆ ์‚ฌ๋ก€์—ฐ๊ตฌ 30 1. ๋‹ค๊ธฐ๋Šฅ ์Šต์ง€ํ™œ์šฉ ์‚ฌ๋ก€ 30 2. ์ €๋ฅ˜์ง€ ๊ณต์› ์‚ฌ๋ก€ 32 3. ์Šต์ง€์„ผํ„ฐ ํ”„๋กœ๊ทธ๋žจ ์‚ฌ๋ก€ 33 4. ์‚ฌ๋ก€ ๋ถ„์„์˜ ์ข…ํ•ฉ 35 ์ œ3์žฅ ๋Œ€์ƒ์ง€์˜ ์ดํ•ด 36 ์ œ 1์ ˆ ๊ด‘์—ญ ํ™˜๊ฒฝ ๋ถ„์„ 36 1. ๋Œ€์ƒ์ง€ ๊ฐœ์š” 36 2. ์ž์—ฐ ํ™˜๊ฒฝ ๋ถ„์„ 37 3. ์ธ๋ฌธ์‚ฌํšŒ ํ™˜๊ฒฝ ๋ถ„์„ 38 ์ œ 2์ ˆ ๋Œ€์ƒ์ง€์˜ ๊ณต๊ฐ„์  ์ดํ•ด 40 1. ๋Œ€์ƒ์ง€ ๊ฐœ์š” 40 2. ๋Œ€์ƒ์ง€ ๊ตํ†ต ๋ฐ ๋„๋กœ์ฒด๊ณ„ 41 3. ๋Œ€์ƒ์ง€ ์ฃผ๋ณ€ ํ† ์ง€์ด์šฉํ˜„ํ™ฉ 42 4. ๋Œ€์ƒ์ง€ ์ฃผ๋ณ€ ๊ธฐ๋ฐ˜์‹œ์„ค 43 5. ๋Œ€์ƒ์ง€ ์ฃผ๋ณ€ ๊ด€๋ จ ์‚ฌ์—… ๋ฐ ๋ณด๊ณ ์„œ 44 ์ œ 3์ ˆ ๋Œ€์ƒ์ง€์˜ ์ƒํƒœ์ ํ™˜๊ฒฝ์  ์ดํ•ด 46 1. ์ˆ˜์ž์› ํ˜„ํ™ฉ 46 2. ๊ฐ•์šฐ๋ถ„์„ 48 3. ์ˆ˜์œ„๋ถ„์„ 50 4. ๋™๋ฌผ์ƒ ํ˜„ํ™ฉ 53 ์ œ4์žฅ ์Šต์ง€์‹๋ฌผ์› ๊ธฐ๋ณธ ๊ตฌ์ƒ 54 ์ œ 1์ ˆ ์Šต์ง€์‹๋ฌผ์› ์„ค๊ณ„ ์ „๋žต 54 1. ์„ค๊ณ„์˜ ๋ชฉ์  54 2. ์„ค๊ณ„์˜ ์ „๋žต 54 ์ œ 2์ ˆ ์Šต์ง€์‹๋ฌผ์› ๊ธฐ๋ณธ๊ตฌ์ƒ 59 1. ์„ค๊ณ„์˜ ์ปจ์…‰ ๋„์ถœ 59 2. ๊ณต๊ฐ„ ๊ตฌ์ƒ 60 3. ํ”„๋กœ๊ทธ๋žจ ๊ตฌ์ƒ 63 ์ œ5์žฅ ๊ธฐ๋ณธ๊ณ„ํš ๋ฐ ์„ค๊ณ„ 65 ์ œ 1์ ˆ ์ข…ํ•ฉ๊ณ„ํš 65 1. ๋งˆ์Šคํ„ฐํ”Œ๋žœ 65 ์ œ 2์ ˆ ๋ถ€๋ฌธ๋ณ„ ๊ณ„ํš 66 1. ์‹œ์„ค๊ณ„ํš 66 2. ์ €๋ฅ˜๊ณ„ํš 68 3. ์žฌ์‹๊ณ„ํš 74 4. ์ฃผ๋ณ€์—ฐ๊ณ„๊ณ„ํš 79 ์ œ 3์ ˆ ๋ถ€๋ถ„๋ณ„ ์ƒ์„ธ ์„ค๊ณ„ 80 1. ์Šต์ง€์ •์› ๊ตฌ์—ญ 80 2. Visitor ์„ผํ„ฐ ๊ตฌ์—ญ 93 3. ๋ฌผ๋†€์ด์—ฐ๋ชป ๊ตฌ์—ญ 94 4. ์Šต์ง€๋ชฉ๋ณธ์› ๊ตฌ์—ญ 97 ์ œ6์žฅ ๊ฒฐ๋ก  ๋ฐ ์ œ์–ธ 99 ์ฐธ๊ณ ๋ฌธํ—Œ 100 Abstract 105Maste

    A study on the Analysis of Logistics Networks for Intermodal Transportation Services in Northeast Asia

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    Along with the improvement of political relations between China, Japan and Korea in Northeast Asia, its economic exchange has been increasing rapidly. In particular, China is being facilitated the expansion of logistics infrastructure and the efficiency of transportation system such as harbors, railroads, roads for strengthening and integration in connection with economic zone. In addition, Korea and Japan are being also facilitated streamling logistic system like the expansion of logistics infrastructure and computerizing harbor service in order to fulfill swift, seamless logistic system. However intra-trade in Northeast Asia has depended on transportation by sea and air due to break off with inland transportation network, the infrastructure of the harbors and airports has not been enough to handle dramatically increasing trading volume and passengers. The construction of the intercontinental logistic network that can resolve these problems is much possible through the works of the rail and road link between South and North by recent South-North economic cooperation. By Facilitating the development of sea-land intermodal transportation network through efficient connection oriented Korean peninsula, it would be able to piece out and replace inter Northeast asia logistic network centering around marine. In order to support the expansion of economic exchange among the countries in Northeast asia, it is required to build efficient logistic network which is able to reduce transportation cost and time. Consequently, this study suggested competitive of intermodal transportation network utilized TKR, at the connection of TKR that could be built transportation networks among Korea, three provinces in northeast China(Jilin, Liaonig, Heilongjiang) and Japan cities by analyzing transportation cost and time in every each route.์ œ1์žฅ ์„œ ๋ก  = 1 1.1 ์—ฐ๊ตฌ์˜ ๋ฐฐ๊ฒฝ ๋ฐ ๋ชฉ์  = 1 1.2 ์„ ํ–‰ ์—ฐ๊ตฌ ๊ณ ์ฐฐ = 2 1.3 ์—ฐ๊ตฌ์˜ ๋ฐฉ๋ฒ• ๋ฐ ๊ตฌ์„ฑ = 4 ์ œ2์žฅ ๋™๋ถ์•„์ง€์—ญ ๊ต์—ญ ๋ฐ ๋ฌผ๋ฅ˜ ํ™˜๊ฒฝ ๋ณ€ํ™” = 6 2.1 ์„ธ๊ณ„ ๊ฒฝ์ œ์˜ ํ™˜๊ฒฝ๋ณ€ํ™” = 6 2.2 ๋™๋ถ์•„์ง€์—ญ ๊ต์—ญํ™˜๊ฒฝ์˜ ๋ณ€ํ™” = 8 2.2.1 ๋™๋ถ์•„ 3๊ตญ๊ฐ„ ๊ต์—ญ ์ถ”์ด = 8 2.2.1 ๋™๋ถ์•„ 3๊ตญ๊ฐ„ ๊ต์—ญ ๊ตฌ์กฐ ๋ถ„์„ = 9 2.2.3 ์ค‘๊ตญ ๋™๋ถ3์„ฑ์˜ ๊ฒฝ์ œ ๋ฐ ๊ต์—ญ ํ˜„ํ™ฉ = 17 2.3 ๋™๋ถ์•„์ง€์—ญ ๋ฌผ๋ฅ˜์ •์ฑ… ๋ณ€ํ™” = 20 2.3.1 ํ•œ๊ตญ = 20 2.3.2 ์ค‘๊ตญ = 23 2.3.3 ์ผ๋ณธ = 25 2.3.4 ํ•œ์ค‘์ผ ๊ตํ†ต๋ฌผ๋ฅ˜ํ˜‘๋ ฅ ์ถ”์ง„ ํ˜„ํ™ฉ = 26 ์ œ3์žฅ ๋™๋ถ์•„์ง€์—ญ ๋ฌผ๋ฅ˜๋„คํŠธ์›Œํฌ ํ˜„ํ™ฉ ๋ถ„์„ = 28 3.1 ๋ฌผ๋ฅ˜๋„คํŠธ์›Œํฌ์˜ ๊ฐœ๋… = 28 3.2 ํ•œ์ค‘์ผ ํ•ด์ƒ์šด์†ก๋„คํŠธ์›Œํฌ ํ˜„ํ™ฉ = 29 3.2.1 ํ•œใ†์ค‘ ํ•ญ๋กœ ์ปจํ…Œ์ด๋„ˆ ์šด์†ก = 29 3.2.2 ํ•œใ†์ผ ํ•ญ๋กœ ์ปจํ…Œ์ด๋„ˆ ์šด์†ก = 31 3.2.3 ์ผใ†์ค‘ ํ•ญ๋กœ ์ปจํ…Œ์ด๋„ˆ ์šด์†ก = 33 3.3 ๋™๋ถ์•„์ง€์—ญ ์œก์ƒ์šด์†ก๋„คํŠธ์›Œํฌ ํ˜„ํ™ฉ = 35 3.3.1 ์ค‘๊ตญ ๋™๋ถ3์„ฑ์˜ ์šด์†ก๋„คํŠธ์›Œํฌ = 35 3.3.2 ๋‘๋งŒ๊ฐ•์ง€์—ญ ์šด์†ก๋„คํŠธ์›Œํฌ = 36 3.3.3 ๋‚จ๋ถํ•œ ์šด์†ก๋„คํŠธ์›Œํฌ = 38 3.3.4 ํ•œ๋ฐ˜๋„์ข…๋‹จ์ฒ ๋„(TKR)์˜ ์—ญํ•  = 39 ์ œ4์žฅ ๋™๋ถ์•„์ง€์—ญ ๋ณตํ•ฉ์šด์†ก๋„คํŠธ์›Œํฌ ๊ฒฝ์Ÿ๋ ฅ ๋ถ„์„ = 42 4.1 ๋ณตํ•ฉ์šด์†ก์˜ ๊ฐœ๋… = 42 4.2 ๋™๋ถ์•„์ง€์—ญ ๋ณตํ•ฉ์šด์†ก ์ถ”์ง„ ํ˜„ํ™ฉ = 43 4.2.1 ๋ธ”๋กํŠธ๋ ˆ์ธ(Block Train) ๊ฐœ๋… ๋„์ž… = 43 4.2.2 ํ•œใ†์ผ๊ฐ„ ์ฒ ๋„&ํ•ด์šด ๋ณตํ•ฉ์šด์†ก์„œ๋น„์Šค = 45 4.2.3 ํ•œใ†์ค‘๊ฐ„ ํŠธ๋Ÿญ๋ณตํ•ฉ์ผ๊ด€์šด์†ก ์„œ๋น„์Šค = 47 4.3 ๋™๋ถ์•„์ง€์—ญ ๋ณตํ•ฉ์šด์†ก ์‹œ๋‚˜๋ฆฌ์˜ค ๋ถ„์„ = 49 4.3.1 ํ•œใ†์ค‘(๋™๋ถ3์„ฑ)๊ฐ„ ์šด์†ก๊ฒฝ๋กœ๋ณ„ ๋น„๊ต๋ถ„์„ = 49 4.3.2 ์ผใ†์ค‘(๋™๋ถ3์„ฑ)๊ฐ„ ์šด์†ก๊ฒฝ๋กœ๋ณ„ ๋น„๊ต๋ถ„์„ = 54 4.3.3 ๊ธฐ์กด ํ•ด์ƒ์šด์†ก๊ณผ ๋ณตํ•ฉ์šด์†ก์˜ ๋น„๊ต๋ถ„์„ = 58 ์ œ5์žฅ ๊ฒฐ๋ก  ๋ฐ ํ–ฅํ›„ ์—ฐ๊ตฌ๋ฐฉํ–ฅ = 60 5.1 ๊ฒฐ๋ก  ๋ฐ ์‹œ์‚ฌ์  = 60 5.2 ์—ฐ๊ตฌ์˜ ํ•œ๊ณ„ ๋ฐ ํ–ฅํ›„ ์—ฐ๊ตฌ๋ฐฉํ–ฅ = 62 ์ฐธ๊ณ ๋ฌธํ—Œ = 6
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