DOI QR코드

DOI QR Code

A Study on the Landscape Cognition of Wind Power Plant in Social Media

소셜미디어에 나타난 풍력발전시설의 경관 인식 연구

  • Woo, Kyung-Sook (Graduate School of Landscape Architecture, Kyung Hee University) ;
  • Suh, Joo-Hwan (Dept. of Landscape Architecture, Kyung Hee University)
  • 우경숙 (경희대학교 예술.디자인대학 환경조경학과) ;
  • 서주환 (경희대학교 예술.디자인대학 환경조경디자인학과)
  • Received : 2022.08.16
  • Accepted : 2022.09.21
  • Published : 2022.10.31

Abstract

This study aims to assess the current understanding of the landscape of wind power facilities as renewable energy sources that supply sightseeing, tourism, and other opportunities. Therefore, social media data related to the landscape of wind power facilities experienced by visitors from different regions was analyzed. The analysis results showed that the common characteristics of the landscape of wind power facilities are based on the scale of wind power facilities, the distance between overlook points of wind power facilities, the visual openness of the wind power facilities from the overlook points, and the terrain where the wind power facilities are located. In addition, the preference for wind power facilities is higher in places where the shape of wind power facilities and the surrounding landscape can be clearly seen- flat ground or the sea are considered better landscapes. Negative keywords about the landscape appear on Gade Mountain in Taibai, Meifeng Mountain in Taibai, Taiqi Mountain, and Gyeongju Wind Power Generation Facilities on Gyeongshang Road in Gangwon. The keyword 'negation' occurs when looking at wind power facilities at close range. Because of the high angle of the view, viewers can feel overwhelmed seeing the size of the facility and the ridge simultaneously, feeling psychological pressure. On the contrary, positive landscape adjectives are obtained from wind power facilities on flat ground or the sea. Visitors think that the visual volume of the landscape is fully ensured on flat ground or the sea, and it is a symbolic element that can represent the site. This study analyzes landscape awareness based on the opinions of visitors who have experienced wind power facilities. However, wind power facilities are built in different areas. Therefore, landscape characteristics are different, and there are many variables, such as viewpoints and observers, so the research results are difficult to popularize and have limitations. In recent years, landscape damage due to the construction of wind power facilities has become a hot issue, and the domestic methods of landscape evaluation of wind power facilities are unsatisfactory. Therefore, when evaluating the landscape of wind power facilities, the scale of wind power facilities, the inherent natural characteristics of the area where wind power facilities are set up, and the distance between wind power facilities and overlook points are important elements to consider. In addition, wind power facilities are set in the natural environment, which needs to be protected. Therefore, from the landscape perspective, it is necessary to study the landscape of wind power facilities and the surrounding environment.

본 연구는 최근 신재생에너지원으로 관광, 여행 등의 목적을 가지며 관광자원의 역할을 할 수 있는 풍력발전시설의 경관 인식을 파악하였다. 이에 지역별로 방문객이 경험한 풍력발전시설의 경관과 관련된 소셜미디어 데이터를 분석하였다. 분석 결과, 풍력발전시설의 경관을 인식할 때 연구대상지에서 공통적으로 풍력발전시설의 규모, 조망점과 풍력발전시설 간의 거리, 조망점에서 풍력발전시설을 볼 때 시각적 개방성, 풍력발전시설이 위치하고 있는 지형에 따라 달라지는 것을 알 수 있다. 또한, 풍력발전시설의 선호는 풍력발전시설의 형태와 주변경관을 파악할 수 있는 장소인 평지나 바다에 설치되어 있는 곳을 더 좋은 경관이라고 인식하고 있다. 특이한 점으로 경관에 대한 부정적인 키워드는 강원도 태백 가덕산, 태백 매봉산, 태기산과 경상도 경주 풍력발전시설에서 나타났다. 부정적인 키워드는 풍력발전시설을 가까이 조망했을 때 조망각이 높아 느껴지는 압도적인 크기와 산의 능선이 함께 보이는 경관에서 심리적 위압감을 느끼고 있음을 알 수 있다. 반면, 평지나 바다가 보이는 경관의 풍력발전시설에서는 긍정적인 경관 형용사가 도출되어 방문객은 경관의 스카이라인이 산 능선과 겹쳐서 보이거나 너무 가까이에서 풍력발전시설을 바라볼 때보다 평지나 바다에서 경관의 시각량이 충분히 확보될 때 그 장소를 대표할 만한 상징적인 요소라고 인식하고 있음을 알 수 있다. 본 연구는 풍력발전시설을 경험한 방문객의 의견을 토대로 경관 인식을 분석하였다. 그러나 풍력발전시설은 설치되는 권역별로 경관특성이 다르고, 시점, 관찰자 등 변수가 많아 연구결과를 일반화시키기 어려운 한계가 있다. 최근 풍력발전시설 조성 시 발생하는 경관훼손이 주요 이슈가 되고 있고, 국내에는 풍력발전시설의 경관을 평가할 수 있는 방법이 미흡하다. 이에 풍력발전시설의 경관을 평가할 시 풍력발전시설의 규모, 풍력발전시설이 설치된 지역 고유의 자연적 특성, 풍력발전시설과 조망점과의 거리가 중요한 구성요소로 나타난 것은 주목할 사항이라 판단된다. 또한, 풍력시설은 보전해야 할 자연환경에 설치되는 시설로 추후 경관적 관점에서 풍력발전시설과 주변 환경을 바라보는 경관의 연구가 필요하다.

Keywords

References

  1. Butler, A. and U. Berglund(2014) Landscape character assessment asan approach to understanding public interests within the European Landscape Convention. Landscape Research 39(3): 219-236. https://doi.org/10.1080/01426397.2012.716404
  2. Cherem, G. J. and B. L. Driver(1983) Visitor employed photography: A technique to measure common perceptions of natural environments. Journal of Leisure Research 15(1): 65-83. https://doi.org/10.1080/00222216.1983.11969541
  3. Hahm, T. H.(2016) Consideration of Environmental Impact Assessment of Onshore Wind Farms: Focusing on the Cases of Korea and Japan. Master's Thesis, Pusan National University.
  4. Han, T. W.(2018) Estimating the vewing value, landscape value, and net visit value of windpower turbines in mountain areas in Korea using a choice experimentation method. Environmental and Resource Economics Review 27(3): 421-461. https://doi.org/10.15266/KEREA.2018.27.3.421
  5. Jung, G. H.(2010) A Study of Foresight Method Based on Textminig and Complexity Network Analysis. KISTEP.
  6. Kim, B. S., M. H. Shin, D. K. Lim and I. H. Lee(2013) Motivation and types of social media users in their social network activities. Social Science Research Institute Kyungsung University 29(2): 105-134.
  7. Kim, H. G., H. J. Hwang, Y. H. Kang, C. Y. Yun, B. R. Jung and K. B. Song.(2014) Wind farm siting in mountainous terrain by geomorphometric characterization. Journal of the Korean Society for Geospatial Information Science 22(4): 13-19.
  8. Kim, M. J.(2020) A Study on the Site Selection of Offshore Wind Farm in East coast of Gangwon, Korea. Master's Thesis, Kangwon National University.
  9. Lee, H. J.(2020) Analysis of Region of Attraction and Attractive Factors Using Topic Modeling and LSTM-Based Text Classification: Focusing on Busan. Master's Thesis, Ewha Woman University.
  10. Lee, S. B. and Y. H. Gwon(2011) Korea Environment Institute, A Study on the Environmental Assessment of Wind Farm: I. Onshore Wind Farm, II. Offshore Wind Farm.
  11. Lee, S. H. and Y. H. Son(2018) Identifying landscape perceptions of visitors' to the Taean coast national park using social media data- Focused on Kkotji beach, Sinduri coastal sand dune, and Manlipo Beach-. Journal of the Korean Institute of Landscape Architecture 46(5): 10-21. https://doi.org/10.9715/KILA.2018.46.5.010
  12. Lee, S. S.(2014) Network Analysis Methods. Nonhyung.
  13. MOTIE(2017) Renewable Energy 3020, Ministry of Trade Industry and Energy.
  14. Oh, C. O., J. H. Nam and J. H. Han(2022) A study on public acceptance and support for offshore wind farms and their perceived benefits of cultural ecosystem services. Korean Journal of Convergence Science 11(3): 178-197.
  15. Park, Y. M., G. K. Kang and K. M. Kim(2015) Noise environmental impact assessment and management by wind power plant (wind farm). Korea Environment Institute 2015: 1-124.
  16. Seo, J. A.(2016) Analyzing the Destination Image of Daegu from Onine Content through Social Network Anlaysis. Ph.D. Dissertation, University of Keimyung, Korea.
  17. Shin, C. O. and G. H. Yuk(2011) Environmental and Economic Impacts of Offshore Wind Power. Korea Maritime Institute.
  18. Warnock, S. and G. Griffiths(2015) Landscape characterisation: Theliving landscapes approach in the UK. Landscape Research 40(3): 261-278. https://doi.org/10.1080/01426397.2013.870541
  19. JEJU Tourism Organization. visitjeju.net
  20. https://terms.naver.com/entry.naver?docId=794682&cid=46617&categoryId=46617
  21. https://terms.naver.com/entry.naver?docId=2084390&cid=40942&categoryId=39201
  22. https://terms.naver.com/entry.naver?docId=1247862&cid=40942&categoryId=37713
  23. https://blog.naver.com/bomool5074/222836013318
  24. https://blog.naver.com/cr1004yuni/222751401707
  25. https://blog.naver.com/csy0805/222826963684
  26. https://blog.naver.com/dudtjs7127/222394587141
  27. https://blog.naver.com/gbnadri/222518302571
  28. https://blog.naver.com/jjong2032/222367073919
  29. https://blog.naver.com/king89win/222352547849
  30. https://blog.naver.com/kjchol123/222078136121
  31. https://blog.naver.com/ksn1665/221945378896
  32. https://blog.naver.com/pyoplus45/221979803688
  33. https://blog.naver.com/queen77577/222320811654
  34. https://blog.naver.com/s7365/222815864622
  35. https://blog.naver.com/scarlette_k/222685511196
  36. https://blog.naver.com/scvhan/222065068237
  37. https://blog.naver.com/skullpapa/222252829834
  38. https://blog.naver.com/taijilll/221498558868
  39. https://www.enetnews.co.kr
  40. https://www.mk.co.kr/news/special-edition/view/2021/12/1133940/