본문 바로가기
KERD
논문KCI 등재

Analysis of Spatio-temporal Changes in Urban Heat Islands Using Local Spatial Autocorrelation Techniques

0

조회

0

다운로드

0

인용

0

참고문헌

키워드

초록

The primary purpose of this study is to identify the spatiotemporal change patterns of heat islands in Sejong City, a planned new city. This research used Landsat 8 images and spatial autocorrelation to achieve this goal. The results of the analysis show that the temporal and spatial distribution patterns of heat islands in Sejong City have significantly changed since 2013. In particular, the proportion of building area was found to be the most crucial factor in determining the spatial distribution patterns of urban heat islands. Besides, heat islands in urban areas were confirmed to be considerably affected by vegetation density in urban parks. This study is very different from previous studies in that it uses both spatial autocorrelation and classification performance analysis to investigate the spatial and temporal change patterns of urban heat islands. However, this research has limitations in that it analyzes the spatiotemporal variations of heat islands only in Sejong City, which is a planned new city, despite its differentiation and usefulness. In particular, since the spatial structures of most of Korea's naturally formed cities differ from that of Sejong City, it may be a good research topic to compare the temporal and spatial patterns of heat islands in Sejong City and other cities.

Abstract

The primary purpose of this study is to identify the spatiotemporal change patterns of heat islands in Sejong City, a planned new city. This research used Landsat 8 images and spatial autocorrelation to achieve this goal. The results of the analysis show that the temporal and spatial distribution patterns of heat islands in Sejong City have significantly changed since 2013. In particular, the proportion of building area was found to be the most crucial factor in determining the spatial distribution patterns of urban heat islands. Besides, heat islands in urban areas were confirmed to be considerably affected by vegetation density in urban parks. This study is very different from previous studies in that it uses both spatial autocorrelation and classification performance analysis to investigate the spatial and temporal change patterns of urban heat islands. However, this research has limitations in that it analyzes the spatiotemporal variations of heat islands only in Sejong City, which is a planned new city, despite its differentiation and usefulness. In particular, since the spatial structures of most of Korea's naturally formed cities differ from that of Sejong City, it may be a good research topic to compare the temporal and spatial patterns of heat islands in Sejong City and other cities.

참고문헌 (50)

  1. Aleksandrowicz, O., "Current trends in urban heat island mitigation research : Observations based on a comprehensive research repository", Urban Climate, 21, pp.1~26 (2017)
  2. Amarsaikhan, D., "Applications of remote sensing and geographic information systems for urban land-cover change studies in Mongolia", Geocarto International, 24(4), pp.257~271 (2009)
  3. Arnfield, A. J., "Two decades of urban climate research: a review of turbulence, exchanges of energy and water, and the urban heat island", International Journal of Climatology: a Journal of the Royal Meteorological Society, 23(1), pp.1~26 (2003)
  4. Avdan, U., "Algorithm for automated mapping of land surface temperature using LANDSAT 8 satellite data", Journal of Sensors (2016)
  5. Bao, T., "Assessing the distribution of urban green spaces and its anisotropic cooling distance on urban heat island pattern in Baotou, China", ISPRS International Journal of Geo-Information, 5(2), pp.12~ (2016)
  6. Brazel, A., "Determinants of changes in the regional urban heat island in metropolitan Phoenix(Arizona, USA) between 1990 and 2004", Climate Research, 33(2), pp.171~182 (2007)
  7. Cao, X., "Quantifying the cool island intensity of urban parks using ASTER and IKONOS data", Landscape and urban planning, 96(4), pp.224~231 (2010)
  8. Chen, X. L., "Remote sensing image-based analysis of the relationship between urban heat island and land use", cover changes, 2006, pp.104(2), 133~146
  9. Declet-Barreto, J., "Creating the park cool island in an inner-city neighborhood:heat mitigation strategy for Phoenix, AZ", Urban Ecosystems, 16(3), pp.617~635 (2013)
  10. Deilami, K., "Urban heat island effect: A systematic review of spatio-temporal factors, data, methods, and mitigation measures", International journal of applied earth observation and geoinformation, 67, pp.30~42 (2018)
  11. Dixon, P. G., "Patterns and causes of Atlanta's urban heat island–initiated precipitation", Journal of Applied Meteorology, 42(9), pp.1273~1284 (2003)
  12. Gallo, K. P., "The use of a vegetation index for assessment of the urban heat island effect", Remote Sensing, 14(11), pp.2223~2230 (1993)
  13. Gallo, K. P., "Assessment of urban heat islands: a satellite perspective", Atmospheric Research, 37(1-3), pp.37~43 (1995)
  14. Grover, A., "Analysis of urban heat island (UHI) in relation to normalized difference vegetation index (NDVI): A comparative study of Delhi and Mumbai", Environments, 2(2), pp.125~138 (2015)
  15. Guo, G., "Impacts of urban biophysical composition on land surface temperature in urban heat island clusters", Landscape and Urban Planning, 135, pp.1~10 (2015)
  16. Harlan, S. L., "In the shade of affluence:the inequitable distribution of the urban heat island", Equity and the Environment, pp.173~202 (2007)
  17. Hart, M. A., "Quantifying the influence of land-use and surface characteristics on spatial variability in the urban heat island", Theoretical and applied climatology, 95(3-4), pp.397~406 (2009)
  18. He, J. F., "Assessing the effect of land use", land cover change on the change of urban heat island intensity, 2007, pp.90(3-4), 217~226
  19. Herath, H. M. P. I. K., "Modeling a tropical urban context with green walls and green roofs as an urban heat island adaptation strategy", Procedia engineering, 212, pp.691~698 (2018)
  20. Hinkel, K. M., "The urban heat island in winter at Barrow, Alaska", International Journal of Climatology: A Journal of the Royal Meteorological Society, 23(15), pp.1889~1905 (2003)
  21. Hu, Y., "An urban form experiment on urban heat island effect in high density area", Procedia Engineering, 169, pp.166~174 (2016)
  22. Huang, Q., "Urban heat island research from 1991 to 2015: a bibliometric analysis", Theoretical and applied climatology, 131(3-4), pp.1055~1067 (2018)
  23. Kikon, N., "Assessment of urban heat islands (UHI)of Noida City, India using multi-temporal satellite data", Sustainable Cities and Society, 22, pp.19~28 (2016)
  24. Kim, Y. H., "Spatial and temporal structure of the urban heat island in Seoul", Journal of Applied Meteorology, 44(5), pp.591~605 (2005)
  25. 김윤기, "Identifying the Predictors of Land Surface Temperature Using Multiple Linear Regression Analysis", 한국지적학회지, 34(3), pp.15~37 (2018), 한국지적학회[DOI]
  26. 김윤기, "Analyzing Cooling Effects of Urban Forests on the Surrounding Areas Using Geospatial Analysis Techniques", 한국지적학회지, 35(1), pp.125~142 (2019), 한국지적학회[DOI]
  27. Klysik, K., "Temporal and spatial characteristics of the urban heat island of Lodz, Poland", Atmospheric Environment, 33(24-25), pp.3885~3895 (1999)
  28. Sejong Special Self-Governing City Climate Change Forecast Report for New Climate System, "K.M.A", Korea Meteorological Administration, ~ (2017)
  29. Kotharkar, R., "Urban heat island studies in South Asia: a critical review", Urban Climate, 24, pp.1011~1026 (2018)
  30. Li, D., "The effectiveness of cool and green roofs as urban heat island mitigation strategies", Environmental Research Letters, 9(5), pp.055002~ (2014)
  31. Liu, H., "Characterizing the Spatio-temporal pattern of land surface temperature through time series clustering: based on the latent pattern and morphology", Remote Sensing, 10(4), pp.654~ (2018)
  32. Liu, L., "Urban heat island analysis using the Landsat TM data and ASTER data: A case study in Hong Kong", Remote Sensing, 3(7), pp.1535~1552 (2011)
  33. Lo, C. P., "Land-use and land-cover change, urban heat island phenomenon, and health implications", Photogrammetric Engineering & Remote Sensing, 69(9), pp.1053~1063 (2003)
  34. Majumdar, D. D., "Quantifying land surface temperature change from LISA clusters: An alternative approach to identifying urban land use transformation", Landscape and Urban Planning, 153, pp.51~65 (2016)
  35. Nichol, J., "Remote sensing of urban heat islands by day and night", Photogrammetric Engineering & Remote Sensing, 71(5), pp.613~621 (2005)
  36. Oke, T. R., "The distinction between canopy and boundary laye urban heat islands", Atmosphere, 14(4), pp.268~277 (1976)
  37. Oke, T. R., "The energetic basis of the urban heat island", Quarterly Journal of the Royal Meteorological Society, 108(455), pp.1~24 (1982)
  38. Rajasekar, U., "Spatio‐temporal modelling and analysis of urban heat islands by using Landsat TM and ETM+imagery", International Journal of Remote Sensing, 30(13), pp.3531~3548 (2009)
  39. Ramachandra, T. V., "Land surface temperature with land cover dynamics:multi-resolution, spatio-temporal data analysis of Greater Bangalore", International Journal of Geoinformatics, 5(3), pp.44~2009 (2009)
  40. Rasul, A., "A review on remote sensing of urban heat and cool islands", Land, 6(2), pp.38~ (2017)
  41. Reddy, S. N., "Land surface temperature retrieval from LANDSAT data using emissivity estimation", International Journal of Applied Engineering Research, 12(20), pp.9679~9687 (2017)
  42. Saaroni, H., "Spatial distribution and microscale characteristics of the urban heat island in Tel-Aviv, Israel", Landscape and urban planning, 48(1-2), pp.1~18 (2000)
  43. USGS, "Landsat 8 (L8) data users handbook", USGS, ~ (2019)
  44. Wang, C., "Spatio-temporal modeling of the urban heat island in the Phoenix metropolitan area: Land use change implications", Remote Sensing, 8(3), pp.185~ (2016)
  45. Weng, Q., "Estimation of land surface temperature–vegetation abundance relationship for urban heat island studies", Remote sensing of Environment, 89(4), pp.467~483 (2004)
  46. 여창환, "도시개발에 따른 환경변화 측정을 위한 표면온도, 정규식생지수 및 불투수면적 비율 지표의 적절성 분석", 한국지적학회지, 33(3), pp.145~154 (2017), 한국지적학회[DOI]
  47. Yusuf, Y. A., "Spatio-temporal assessment of urban heat island effects in Kuala Lumpur metropolitan city using landsat images", Journal of the Indian Society of Remote Sensing, 42(4), pp.829~837 (2014)
  48. Zanter, K., "Landsat 8 (L8) data users handbook", Landsat Science Official Website, ~ (2016)
  49. Zhou, B., "On the statistics of urban heat island intensity", Geophysical research letters, 40(20), pp.5486~5491 (2013)
  50. Zhou, J., "Maximum nighttime urban heat island(UHI)intensity simulation by integrating remotely sensed data and meteorological observations", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 4(1), pp.138~146 (2010)

관련 논문AI추천

이 간행물의 다른 논문 (10건)