• Spatial Information Research
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• v.20 no.4
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• pp.1-16
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• 2012

There is no doubt that the urban heat island (UHI) is a mounting problem in built-up environments, due to energy retention by the surface materials of dense buildings, leading to increased temperatures, air pollution, and energy consumption. To investigate the UHI, three-dimensional (3-D) information is necessary to analyze complex sites, including dense building clusters. In this research, 3-D building geometry information is combined with two-dimensional (2-D) urban surface information to examine the relationship between urban characteristics and temperature. In addition, this research introduces spatial regression models to account for the spatial spillover effects of urban temperatures, and includes the following steps: (a) estimating urban temperatures, (b) developing a 3-D city model, (c) generating urban parameters, and (d) conducting statistical analyses using both Ordinary Least-Squares (OLS) and Spatial Regression Models. The results demonstrate that 3-D urban characteristics greatly affect temperatures and that neighborhood effects are critical in explaining temperature variations. Finally, the implications of the results are discussed, providing guidelines for policies to reduce the UHI.

• Journal of the Korean earth science society
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• v.42 no.2
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• pp.135-148
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• 2021

The purpose of this study was to evaluate the urban heat island (UHI) intensity and the corresponding surface temperature forecast obtained using the local data assimilation and prediction system (LDAPS) of the Korea Meteorological Administration (KMA) against the AWS observation. The observed UHI intensity in Seoul increases during spring and winter, while it decreases during summer. It is found that the diurnal variability of the UHI intensity peaks at dawn but reaches a minimum in the afternoon. The LDAPS overestimates the UHI intensity in summer but underestimates it in winter. In particular, the model tends to overestimate the UHI intensity during the daytime in summer but underestimate it during the nighttime in winter. Moreover, surface temperature errors decrease in summer but increase in winter. The underestimation of the winter UHI intensity appears to be associated with weak forecasting of urban temperature in winter. However, the overestimated summer UHI intensity results from the underestimation of the suburban temperature forecast in summer. In order to improve the predictability of the UHI intensity, an urban canopy model (MORUSES) that considers urban effects was combined with LDAPS and used for simulation for the summer of 2017. The surface temperature forecast for the city was improved significantly by adopting MORUSES, and there were remarkable improvements in urban surface temperature morning forecasts. The urban canopy model produced an improvement effect that weakened the intensity of the UHI, which showed an overestimation during summer.

• Journal of the Korean Association of Geographic Information Studies
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• v.15 no.1
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• pp.133-143
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• 2012

The purpose of this study is to investigate the characteristics of urban heat island considering urban space at nighttime. We used to analyze landuse and landcover data of 1:1,000 scale, DTM, and surface temperature extracted ASTER image satellite of nighttime. According to the analytical results, heat intensity in single-family residential is higher than that in industrial area, public facility area, and commercial area because the anthropogenic heat by energy consumption is released. Likewise, the temperature difference were big in the buildings of industrial area depending on operating hours. Meanwhile, green and river area had cooling impacts mitigating the urban heat island. Therefore, we have to mitigate heat intensity through constructing green space and waterfront area. As mentioned above, we think that the results of this study will be used as base data for effective spatial planning when formulating development planning to mitigate urban heat island at nighttime.

• Journal of the Korean Association of Geographic Information Studies
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• v.2 no.3
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• pp.35-45
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• 1999

The research is to examine urban heat island effects which is resulted from urbanization using thermal infrared band of Landsat TM data and to demonstrate heat island alleviation effects of green spaces through correlation analysis of NDVI(Normalized Difference Vegetation Index) and surface temperature. According to the results, forests which are covered with natural vegetation have a high NDVI digital values, but surface temperature is very low, and urban areas which is composed of artificial paving materials have a low NDVI, surface temperature increases gradually. In summary, the analysis of relationship between NDVI and surface temperature, used in this study, is regarded as one of effective methodologies for proving heat island alleviation effects of vegetation.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2008.10a
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• pp.97-99
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• 2008

지구온난화의 문제가 다양한 분야에서 논의되고 있다. 특히 도시열성효과에 대한 문제는 도시기후변화의 측면에서 공간적인 특성을 반영하여 나타난다. 현장조사 자료와 위성자료에 의한 연구는 도시의 열 환경이 공간적으로 어떤 분포를 나타내는지 분석하고 평가하는데 중요한 요소로 연구가 이루어져왔다. 본 연구에서는 도시열성효과가 도시 내부공간의 열 환경에 대해 공간적으로 나타나는 요인을 평가하고 이의 상관성을 도시 공간분포의 범위에서 평가하였다. 연구지역인 전주시는 지난 20년 동안 도시환경의 공간 구조적 요인 보다는 도시 열 발생원에 의해 30% 이상의 영향을 받는 것으로 평가되었다. 이를 검증하기 위해 고해상도 위성자료를 활용하여 공간 요인 분석을 수행하였다.

• Journal of Environmental Impact Assessment
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• v.32 no.3
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• pp.176-186
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• 2023

Urban Heat Island (UHI) is caused by an energy imbalance in urban areas, where building design and land cover contribute to its amplification. To mitigate UHI, increasing green space is one of the well known and the most effective approach. This study aims aimed to identify specific components of green spaces that lower temperatures and demonstrate the cooling effects based on their size and composition. Forests within green spaces have had a greater impact on temperature reduction due to shading and blocking solar radiation. Although lakes also contributed to temperature reduction, the effect to cooling intensity was not significant. The cooling distance does not depended on green space size or composition. The study emphasizes that initial temperature has a strongerinfluence on cooling intensity than green space size, highlighting the importance of vegetation type within green spaces to achieve a cooling effect. These findings provide valuable insights for urban planning and the design of green spaces to mitigate the effects of the urban heat island.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.468-468
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• 2022

기후변화 및 도시열섬화 등의 영향으로 여름철 폭염 및 봄·겨울철 미세먼지 영향은 증가하고 있다. 최근 40년(1980년~2019년) 동안 서울의 최고기온은 2.2℃ 증가하였으며, 이는 전국에서 두 번째로 높은 증가추세이다. 서울시는 도시열섬과 미세먼지 저감을 일환으로 '스마트 물순환도시 조성사업'을 추진하고 있다. 본 연구에서는 서울형 물순환도시 소개와 더불어 쿨링포그, 쿨루프, 클린로드시스템, 투수블록, 식생수로 빗물정원 등 수자원을 활용한 기술을 조사하고 문헌조사를 통해 저감효과를 비교분석하였다. 이는 수자원을 활용한 도시 형태 개선으로 쾌적한 도시환경 조성 뿐만 아니라 시민의 행복과 만족감 증대에 기여할 것으로 판단되며, 향후 서울형 스마트 물순환도시 보다 많은 지역에 확대운영 할 수 되도록 기여하고자 한다.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2010.09a
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• pp.384-386
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• 2010

본 연구의 목적은 도시고온화와 도시열섬 현황을 파악하는데 있어 중요한 역할을 하는 도시 지역의 알베도와 지표면의 토지이용 자료를 이용하여 한반도 행정구역의 알베도 분포를 비교 평가하고자 하는 것이다. 도시 지역의 알베도와 토지이용을 현장조사 할 경우 많은 시간과 비용이 소요되기 때문에, 시간적 경제적인 비용절감효과를 위해 전 지구적으로 변화를 감지할 수 있도록 NASA에서 제공하는 MODIS 위성영상 자료를 사용하여 분석하였으며, 그 결과 서울, 부산, 대구 등 주요 도시를 중심으로 대체적인 알에도 값이 낮게 나타났다. 이는 도시 지역의 인공 환경의 영향으로 인하여 주요 도시 지역이 주변 지역보다 알베도 수치가 낮게 나타났음을 알 수 있고 이러한 알베도 수치는 도시 열환경에 직접적인 영향을 주고 있으며 따라서 도시고온화와 도시열섬 현상을 감소시키기 위하여 도시 내 빌딩 및 도로의 재질개선, 지붕 및 도로 포장, 건물의 외벽을 밝은 색으로 교체 등의 방법으로 지표면 알베도를 높이기 위한 방안 마련이 시급 할 것이다.

• Journal of Korean Society of Forest Science
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• v.100 no.1
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• pp.79-87
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• 2011

This study was conducted to identify the relationship between urban heat island effect and forest, analyzing electricity consumption model and temperature change model. Electricity consumption model was adopted to clarify a role of forests in alleviating the heat island effect at the national scale, while temperature change model was adopted to clarify a role of forests in mitigating urban heat island effect on metropolis with using econometric analysis. The analysis results from both models clearly show a negative correlation between the urban forests within living areas and heat island effect. In particular, when urban forests within living area per person increases by $1m^2$, the average municipal electricity consumption decreases by 0.02MWh and the summer daytime temperature for metropolitan cities decreases by $1.15^{\circ}C$.

• Journal of the Korean Association of Geographic Information Studies
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• v.18 no.2
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• pp.59-74
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• 2015

The purpose of this study is to analyze reasonable green area ratios for mitigating urban heat island considering various land use types. Land uses of 5 types such as single residential, multi residential, commercial area, public facility, and industrial area were considered. Green areas were extracted from the tree attribution of land cover. Effect of urban heat island was analysed by the surface temperature of ASTER thermal infrared radiance scanned daytime and nighttime. Mitigation effect of green area at daytime was higher than nighttime. Surface temperature of green area was low in single residential at daytime. But the difference of surface temperature by each land use type was small. The effect of surface temperature mitigation of green area was lower in industrial area. The results of reasonable green area ratios for mitigating urban heat island indicate that surface temperature was the lowest with green area ratio of 40~50% in single residential, multi residential, and commercial area at daytime. Surface temperature of nighttime was not changed much by green area ratios. Therefore, the results of this study will be suggested in urban development planning to construct effectively green area for mitigating urban heat island.