DOI QR코드

DOI QR Code

Analysis of Changes in the Land Surface Temperature according to Tree Planting Campaign to reduce Urban Heat Island - A Case Study for Gumi, South Korea -

도시열섬 완화를 위한 나무심기운동에 따른 지표면 온도 변화 분석 - 구미시를 사례로 -

  • 김경훈 (인하대학교 토목공학과) ;
  • 김형수 (인하대학교 사회인프라공학과) ;
  • 권용하 ((주)지오씨엔아이 공간정보솔루션센터) ;
  • 박인선 ((주)지오씨엔아이 공간정보기술연구소) ;
  • 정윤재 ((주)지오씨엔아이 공간정보기술연구소)
  • Received : 2021.12.14
  • Accepted : 2022.01.21
  • Published : 2022.03.31

Abstract

Due to climate change, temperature is rising worldwide. Since rapid growth has been achieved focused on cities, South Korea is experiencing serious environmental problems such as heat island and air pollution in urban areas. To solve this problem, the central and each local government are actively promoting tree planting campaigns. This study quantitatively calculated changes in green areas and vegetation of Gumi by the tree planting campaign, and analyzed the temperature changes accordingly. For the target area, the green area, vegetation index, and ground temperature were calculated for 4 different time periods using the given Landsat satellite images. As a result of the study, the green area of was increased by 7.24km2 and 4.93km2 for two regions, respectively. Accordingly, the vegetation index increased by 0.14 to 0.16, and the temperature decreased by 0.8 to 1.2℃. The Tree planting campaign not only plays a role in lowering the temperature of the city but also does various roles such as air purification, carbon absorption, and providing green rest areas to citizens. Therefore the campaign should be carried out continuously.

기후변화로 인해서 전 세계적으로 온도가 상승하고 있다. 도시를 중심으로 급속한 성장을 이룬 우리나라는 도심지역에 대해서 열섬현상, 대기 오염 등 환경문제가 심각하게 발생하고 있다. 이를 해결하기 위해서 중앙정부와 지방자치단체들은 도시 숲, 공원 조성 등의 나무심기운동을 활발하게 추진하고 있다. 본 연구에서는 나무심기운동에 따른 도심지역의 녹지 증가와 식생의 생장 상태를 정량적으로 산정하였고 이에 따른 도심지역의 지표면 온도 변화를 분석하였다. 구미지역에 대해서 Landsat 영상을 이용하여 나무심기운동이 진행되기 전, 실행된 직후, 사업이 중간 정도 진행된 시점, 최종적으로 완료된 시점에 대해서 녹지면적과 식생지수, 지표면 온도를 산정하였다. 연구 결과, 두 지역에 대해서 녹지면적이 각각 7.24km2, 4.93km2 증가하였고 식생지수는 0.14~0.16 증가하였으며, 지표면 온도는 0.8~1.2℃ 감소하였다. 나무심기운동은 도시의 지표면 온도를 낮추는 역할뿐만 아니라 공기 정화, 탄소 흡수, 녹색 휴식 공간 제공 등 다양한 역할을 수행하기 때문에 지속적으로 진행되어야 한다.

Keywords

Acknowledgement

본 연구는 국토교통부/국토교통과학기술진흥원 지원으로 수행되었음(과제번호 21AWMP-B121100-06)

References

  1. Ahn, J.S., J.D. Hwang, M.H. Park and Y.S. Suh. 2012. Estimation of urban heat island potential based on land cover type in Busan using Landsat-7 etm+ and AWS data. Journal of the Korean Association of Geographic Information Studies 15(4): 65-77. https://doi.org/10.11108/KAGIS.2012.15.4.065
  2. Choi, Y.J. and I. Lee. 2013. Analysis of surface temperature change by variation of vegetation in urban area - studies in Bundang new town and Ilsan new town-. Proceedings of the Korean Institute of Landscape Architecture Conference. pp.85-88.
  3. Choi, Y.Y. and M.S. Suh. 2016. Improvement of COMS land surface temperature retrieval algorithm by considering diurnal variation of air temperature. Korean Journal of Remote Sensing 32(5):435-452. https://doi.org/10.7780/KJRS.2016.32.5.4
  4. Hwang, E.J., K.J. Shin, S.K. Choi and J.K. Lee. 2005. NDVI analysis of downtown using satellite image and GSIS. Proceedings of GIS/RS Joint Conference 2005. pp.249-253.
  5. Hwang, H.S. and J.E. Kang. 2020. Spatial distribution of urban heat and pollution islands using remote sensing and private automated meteorological observation system data -focused on Busan metropolitan city, Korea-. Journal of the Korean Association of Geographic Information Studies 23(3): 100-119. https://doi.org/10.11108/KAGIS.2020.23.3.100
  6. Jee, J.B., B.Y. Kim, I.S. Zo, K.T. Lee and Y.J. Choi. 2016. Retrieval of land surface temperature based on high resolution Landsat 8 satellite data. Korean Journal of Remote Sensing 32(2):171-183. https://doi.org/10.7780/KJRS.2016.32.2.9
  7. Jeong, J.J. 2012. Comparison of built-up area extraction methods: classification method vs. vegetation index method. Journal of the Korean Cartographic Association. 12(3):34-44.
  8. Kim, J.S., D.K., Lee, S.Y. Sung, S.G. Jeong and J.H. Park. 2015. Study of vulnerable district characteristic on urban heat island according to land use using normalized index - focused on Daegu metropolitan city residential district-. Journal of Korea Planning Association. 50(5):59-72. https://doi.org/10.17208/jkpa.2015.08.50.5.59
  9. KLOG(Korean Association for Local Government Studies). 2016. Campaign of planting 10 million trees. Proceedings of Korean Association for Local Government Studies Conference. pp.277-294.
  10. Lee, H.S. 2001. Analysis of the influence of greenery on the urban temperature using satellite image. Master's Thesis. University of Seoul. 108p.
  11. Nam, J.U., T.Y. Jeong and G.M. Park. 2017. A Study on changes in green policy to establish a park and green area creation system -10 million tree planting campaign in Gumi-. Proceedings of the Korean Institute of Landscape Architecture Conference 2017. pp.3-4.
  12. Park, J.G., S.Y. Go and G.S. Cho. 2013. Vegetation classification using KOMPSAT-2 imagery and high-resolution airbone imagery in urban area. Journal of the Korea Society for Geospatial Infromation System. 21(4): 21-27. https://doi.org/10.7319/kogsis.2013.21.4.021
  13. Park, K.H., B.G. Song and J.E. Park. 2016. Analysis on the effects of land cover types and topographic features on heat wave days. Journal of the Korean Association of Geographic Information Studies. 19(4):76-91. https://doi.org/10.11108/KAGIS.2016.19.4.076
  14. Song, B.G. and K.H. Park. 2017. Comparison of ASTER satellite and ground-based surface temperature measurements for urban heat island studies. Journal of the Korean Association of Geographic Information Studies 20(3):104-124. https://doi.org/10.11108/KAGIS.2017.20.3.104
  15. Song, B.G. and K.H. Park. 2019. A study on the relationship between land cover type and urban temperature - focused on Gimhae city -. Journal of the Korean Association of Geographic Information Studies 22(2):65-81. https://doi.org/10.11108/KAGIS.2019.22.2.065
  16. USGS(United States Geological Survey). 2015. Landsat 8(L8) data users handbook. Dep artment of the Interior US Geological Surv ey, v1. https://www.usgs.gov/landsat-missions/landsat-8-data-users-handbook(Accessed February 15, 2022).
  17. Yoon, M.-H. and T.-M. Ahn. 2009. An application of satellite image analysis to visualize the effects of urban green areas on temperature. Journal of the Korean Institute of Landscape Architecture 37(3):46-53.
  18. Yun, H.C., M.G. Kim and K.Y. Jung. 2013. Analysis of temperature change by forest growth for mitigation of the urban heat island. Journal of the Korean Society of Surveying, Photogrammetry and Cartography 31(2):143-150. https://doi.org/10.7848/ksgpc.2013.31.2.143