References
- 송봉근. 2011. 도시기후 및 대기질 개선을 위한 통합적 공간환경평가 및 계획기법의 개발. 창원대학교 대학원 석사학위논문 37-38쪽.
- 송봉근, 박경훈. 2011. 도시기후 형성 요소를 고려한 공간유형 분류-창원시를 대상으로-. 환경영향평가 20(3):1-10.
- 윤일희 역. 2003. 미기상학개론, 제2판. 시그마프레스. 428쪽.
- 이우성, 정성관, 박경훈, 김경태. 2010. 친환경적 공간계획을 위한 도시의 열환경 분석. 한국지리정보학회지 13(1):142-154.
- 창원시. 2009. 창원시 환경지도 제작 및 GIS구축 연구보고서.
- 창원시. 2010. 창원시 2010년 통계연보.
- Akbari, H. and S. Konopacki. 2005. Calculating energy-saving potentials of heat-island reduction strategies. Energy Policy 33:721-756. https://doi.org/10.1016/j.enpol.2003.10.001
- Buyantuyev, A. and J. Wu. 2010. Urban heat islands and landscape heterogeneity:linking spatiotemporal variations in surface temperatures to land-cover and socioeconomic patterns. Landscape Ecology 25:17-33. https://doi.org/10.1007/s10980-009-9402-4
- Giridharan, R., S.S.Y. Lau and S. Ganesan. 2005. Nocturnal heat island effect in urban residential developments of Hong Kong. Energy and Buildings 37:964-971. https://doi.org/10.1016/j.enbuild.2004.12.005
- Givoni, B. 1998. Climate Considerations in Building and Urban Design. Wiley. USA.
- Kato, S. and Y. Yamaguchi. 2007. Estimation of storage heat flux in an urban area using ASTER data. Remote Sensing of Environment 110:1-17. https://doi.org/10.1016/j.rse.2007.02.011
- Li, J., C. Song, L. Cao, F. Zhu, X. Meng and J. Wu. 2011. Impacts of landscape structure on surface urban heat island; A case study of Shanghai, China. Remote Sensing of Environment 115:3249-3263. https://doi.org/10.1016/j.rse.2011.07.008
- Mirzaei, P.A. and F. Haghighat. 2010. Approaches to study urban heat island-abilities and limitations. Building and Environment 45:2192-2201. https://doi.org/10.1016/j.buildenv.2010.04.001
- Oke, T.R. 1976. The distinction between canopy and boundary-layer urban heat island. Atmospheric 14:268-277.
- Oke, T.R. 1981. Canyon geometry and the urban heat island : comparison of scale model and field observations. Journal of Climatology 1:237-254. https://doi.org/10.1002/joc.3370010304
- Oke, T.R. 1987. Boundary Layer Climate. Methuen. USA.
- Oke, T.R. 2006. Initial guidance to obtain representative meteorological observation at urban sites, Instruments an observing methods report 81. World Meteorological Organization pp.9-11.
- Oliveira, S., H. Andrade and T. Vaz. 2011. The cooling effect of green spaces as a contribution to the mitigation of urban heat: a case study in Lisbon. Building and Environment 46:2186-2194. https://doi.org/10.1016/j.buildenv.2011.04.034
- Saaroni, H., E. Ben-Dor, A. Bitan and O. Potchter. 2000. Spatial distribution and microscale characteristics of the urban heat island in Tel-Aviv, Israel. Landscape and Urban Planning 48:1-18. https://doi.org/10.1016/S0169-2046(99)00075-4
- Scherer, D. 1999. Improved concepts and methods in analysis and evaluation of the urban climate for optimizing urban planning processes. Atmospheric Environment 33:4185-4193. https://doi.org/10.1016/S1352-2310(99)00161-2
- Stewart, I., and T.R. Oke. 2009. Newly developed "Thermal climate zones" for defining and measuring urban heat island magnitude in the canopy layer, The Timothy R Oke Symposium. American Meteorological Society Annual Meeting, Phoenix, AZ.
- Voogt, J.A. 2002. Urban heat island, In I. Douglas. Causes and consequences of global environmental change 3:660-666.
- Voogt, J.A. and T.R. Oke. 2003. Thermal remote sensing of urban climates. Remote Sensing of Environment 86:370-384. https://doi.org/10.1016/S0034-4257(03)00079-8
- Wienert, U. and W. Kuttler. 2001. Statistical analysis of the dependence of urban heat island intensity on latitude. in: Fourth Symposium on Urban Environment.
- Wong, N.H. and C. Yu. 2005. Study of green area and urban heat island in a tropical city. Habitat Internatioanl 29:547-558. https://doi.org/10.1016/j.habitatint.2004.04.008
- Yamamoto, Y. 2006. Measures to mitigate urban heat islands. QUARTERLY REVIEW 18:65-83.
Cited by
- Effect of Land Use on Urban Thermal Environments in Incheon, Korea vol.3, pp.4, 2016, https://doi.org/10.17820/eri.2016.3.4.315
- Contribution of Greening and High-Albedo Coatings to Improvements in the Thermal Environment in Complex Urban Areas vol.2015, 2015, https://doi.org/10.1155/2015/792172
- Analysis on the Effects of Land Cover Types and Topographic Features on Heat Wave Days vol.19, pp.4, 2016, https://doi.org/10.11108/kagis.2016.19.4.076
- Analysis of the MODIS-Based Vegetation Phenology Using the HANTS Algorithm vol.17, pp.3, 2014, https://doi.org/10.11108/kagis.2014.17.3.020
- Association between Three-Dimensional Built Environment and Urban Air Temperature: Seasonal and Temporal Differences vol.9, pp.8, 2017, https://doi.org/10.3390/su9081338
- An Evaluation of Thermal Comfort on Urban Neighborhood Park for Improving Thermal Environment vol.16, pp.4, 2013, https://doi.org/10.11108/kagis.2013.16.4.153
- Comparison of Thermal Effects of Different School Ground Surface Materials vol.18, pp.2, 2015, https://doi.org/10.11108/kagis.2015.18.2.028
- GIS를 활용한 부산지역의 해안·강변지역 열섬특성 분석 vol.21, pp.1, 2012, https://doi.org/10.7319/kogsis.2013.21.1.003
- 도시지역의 바람길 조성을 위한 야간시간대의 공기순환성 평가 vol.16, pp.2, 2012, https://doi.org/10.11108/kagis.2013.16.2.016
- GIS 기반의 물순환 면적률을 활용한 창원시 도심지역의 물순환성 평가 vol.22, pp.5, 2013, https://doi.org/10.14249/eia.2013.22.5.397
- 도시열섬 지역에 대한 정의 및 구분 방법론에 관한 비교연구 vol.33, pp.2, 2017, https://doi.org/10.22669/krsa.2017.33.2.047
- Analysis of Urban Heat Island Intensity Among Administrative Districts Using GIS and MODIS Imagery vol.20, pp.2, 2017, https://doi.org/10.11108/kagis.2017.20.2.001
- Comparison of ASTER Satellite and Ground-Based Surface Temperature Measurements for Urban Heat Island Studies vol.20, pp.3, 2012, https://doi.org/10.11108/kagis.2017.20.3.104
- UAV 열적외 영상을 활용한 피복재질별 표면온도 특성 분석 vol.21, pp.3, 2018, https://doi.org/10.11108/kagis.2018.21.3.162
- Terra/Aqua MODIS LST를 이용한 폭염 및 한파기간 동안 습지의 지면온도 완화효과 분석 vol.21, pp.no.spc, 2012, https://doi.org/10.17663/jwr.2019.21.s-1.123
- GIS 기반 노인인구 분포지역의 공간적 특성과 폭염의 관계 분석 - 창원시를 대상으로 - vol.23, pp.3, 2012, https://doi.org/10.11108/kagis.2020.23.3.068
- 대구시 열대야 대응 구역 설정을 위한 야간 찬공기 유동성 분석 vol.23, pp.3, 2012, https://doi.org/10.11108/kagis.2020.23.3.220
- Correlation Analysis between Air Temperature and MODIS Land Surface Temperature and Prediction of Air Temperature Using TensorFlow Long Short-Term Memory for the Period of Occurrence of Cold and Heat vol.12, pp.19, 2020, https://doi.org/10.3390/rs12193231
- Temperature trend analysis associated with land-cover changes using time-series data (1980–2019) from 38 weather stations in South Korea vol.65, pp.None, 2012, https://doi.org/10.1016/j.scs.2020.102615