• Title, Summary, Keyword: 열섬

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An empirical study on the Definition and Classification Methodology of Urban Heat Island Areas (도시열섬 지역에 대한 정의 및 구분 방법론에 관한 비교연구)

  • Kim, Kijung;An, Youngsoo
    • Journal of the Korean Regional Science Association
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    • v.33 no.2
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    • pp.47-59
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    • 2017
  • The purpose of this study is to examine various definitions of urban heat island and to analyze the characteristics and differences of each methodology by applying each methodology for deriving the heat island region to Seoul. The definition of the heat island is divided into the atmospheric heat island and the surface heat island according to the utilized temperature data. The methodology for deriving the heat island area differs depending on the comparison method and the spatial extent of the analysis. As a result of analyzing each methodology for Seoul city, it was confirmed that the heat island area of Seoul is different according to temperature data. Also, it is confirmed that the distribution range of the heat island area is different according to the spatial range of analysis. This shows that even if the heat island area is analyzed for the same space and the same view point, the heat island area is derived differently according to each methodology. This study can be used as a basic study to solve the urban heat island problem in the future.

Analysis of Heat Island Characteristics Considering Urban Space at Nighttime (도시공간을 고려한 야간시간대의 열섬특성 분석)

  • Song, Bong-Geun;Park, Kyung-Hun
    • 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.

Analysis of Thermal Heat Island Potential by Urbanization Using Landsat-8 Time-series Satellite Imagery (Landsat-8 시계열 위성영상을 활용한 도심지 확장에 따른 열섬포텐셜 분석)

  • Kim, Taeheon;Lee, Won Hee;Han, Youkyung
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.36 no.4
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    • pp.305-316
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    • 2018
  • As the urbanization ratio increases, the heat environment in cities is becoming more important due to the urban heat island. In this study, the heat island spatial analysis was calculated and conducted for analysis of urban thermal environment of Sejong city, which was launched in 2012 and has been developed rapidly. To analyze the ratio and change rate of urban area, a multi temporal land cover map (2013 to 2015 and 2017) of study area is generated based on Landsat-8 OLI/TIRS (Operational Land Imager / Thermal Infrared Sensor) satellite imagery. Then, we select an TIR (Thermal Infrared) band from the two TIR bands provided by the Landsat-8, which is used for calculating the heat island potential, through the accuracy evaluation of the brightness temperature and AWS (Automatic Weathering Station) data. Based on the selected band and surface emissivity, land surface temperature is calculated and the estimated heat island potential change is analyzed. As a result, the land surface temperature of the high ratio and change rate of urban area was significantly higher than the surrounding area around $3^{\circ}C$ to $4^{\circ}C$, and the heat island potential was also higher around $4^{\circ}C$ to $5^{\circ}C$. However, the heat island phenomenon was alleviated in urban areas with high rate of change that also show high green area ratio. Therefore, we demonstrated that dense urban area increases the possibility of inducing heat island, but it can mitigate the heat island through green areas.

Spatial Analysis of the Urban Heat Island Using a 3-D City Model (3차원 도시모형을 이용한 도시열섬의 공간분석)

  • Chun, Bum-Seok;Guldmann, Jean-Michel
    • 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.

Exploring Physical Environments, Demographic and Socioeconomic Characteristics of Urban Heat Island Effect Areas in Seoul, Korea (서울시 도시열섬현상 지역의 물리적 환경과 인구 및 사회경제적 특성 탐색)

  • Cho, Hyemin;Ha, Jaehyun;Lee, Sugie
    • Journal of the Korean Regional Science Association
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    • v.35 no.4
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    • pp.61-73
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    • 2019
  • Urban development and densification have led to the Urban Heat Island Effect, in which the temperature of urban space is higher than the surrounding areas, and the intensity is increasing with climate change. In addition, when the city's air temperature rises in summer, low-income, elderly population, and socially vulnerable people who have health problems lack the ability to cope with the elevated heat environment. Therefore, this study aimed to identify the urban heat island area of Seoul through Hotspot analysis, which is a spatial statistics technique, and explored physical environments, demographic and socioeconomic characteristics of urban heat island effect areas using logistic regression models. This study performed urban heat island hotspot analysis using the average air temperatures of the 423 administrative dongs in Seoul. Analysis results identified that the urban heat islands were concentrated in Jung-gu, Jongno-gu, Yongsan-gu, and Yeongdeungpo-gu. Logistic regression analysis results indicated that urban heat island areas of Seoul were affected by residential floor area ratio, commercial facility floor area ratio, overall floor area ratio, impervious surface ratio, and normalized difference vegetation index(NDVI). In addition, as a result of analyzing the vulnerable area of thermal environment considering the demographic and socioeconomic characteristics of the heat island area, urban heat island areas of Seoul were significantly associated with the proportion of low-income elderly living alone. The result of this study provided useful insights for urban thermal environmental design and policy development that could improve the thermal environment for the socially disadvantaged urban population.

Analysis on Urban Heat Island Effects for the Metropolitan Green Space Planning (광역적 녹지계획 수립을 위한 도시열섬효과 분석)

  • Park, Kyung-Hun;Jung, Sung-Kwan
    • 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.

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Analysis of Urban Heat Island Intensity Among Administrative Districts Using GIS and MODIS Imagery (GIS 및 MODIS 영상을 활용한 행정구역별 도시열섬강도 분석)

  • SEO, Kyeong-Ho;PARK, Kyung-Hun
    • Journal of the Korean Association of Geographic Information Studies
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    • v.20 no.2
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    • pp.1-16
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    • 2017
  • This study was conducted to analyze the urban heat island(UHI) intensity of South Korea by using Moderate Resolution Imaging Spectroradiometer(MODIS) satellite imagery. For this purpose, the metropolitan area was spatially divided according to land cover classification into urban and non-urban land. From the analysis of land surface temperature(LST) in South Korea in the summer of 2009 which was calculated from MODIS satellite imagery it was determined that the highest temperature recorded nationwide was $36.0^{\circ}C$, lowest $16.2^{\circ}C$, and that the mean was $24.3^{\circ}C$, with a standard deviation of $2.4^{\circ}C$. In order to analyze UHI by cities and counties, UHI intensity was defined as the difference in average temperature between urban and non-urban land, and was calculated through RST1 and RST2. The RST1 calculation showed scattered distribution in areas of high UHI intensity, whereas the RST2 calculation showed that areas of high UHI intensity were concentrated around major cities. In order to find an effective method for analyzing UHI by cities and counties, analysis was conducted of the correlation between the urbanization ratio, number of tropical heat nights, and number of heat-wave days. Although UHI intensity derived through RST1 showed barely any correlation, that derived through RST2 showed significant correlation. The RST2 method is deemed as a more suitable analytical method for measuring the UHI of urban land in cities and counties across the country. In cities and counties with an urbanization ratio of < 20%, the rate of increase for UHI intensity in proportion to increases in urbanization ratio, was very high; whereas this rate gradually declined when the urbanization ratio was > 20%. With an increase of $1^{\circ}C$ in RST2 UHI intensity, the number of tropical heat nights and heat wave days was predicted to increase by approximately five and 0.5, respectively. These results can be used for reference when predicting the effects of increased urbanization on UHI intensity.

A Study on the Mitigation Policies for Urban Heat Island (도시열섬 완화를 위한 제도개선)

  • Suh, Eung Chul
    • KIEAE Journal
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    • v.7 no.2
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    • pp.17-23
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    • 2007
  • While heat island has been recognized as an unique environmental nuisance in cities, the phenomenon tends to be regarded as an inevitable side effect on urbanization. Recently the nature of the heat island has been disclosed and efforts for the remedy have been discussed in many ways. Some pioneering actions have been taken to mitigate the strength of the heat island's intensity in several countries. After studies for the heat island and speculations on current pilot policies of 3 different countries has been done, mitigation policies for heat island has been suggested as followings. 1. Preservation of natural topography is essential because latent energy consumption(evapotranspiration) from the site is the single most important factor to mitigate the energy surplus caused by urban heat island. 2. Because current national zoning ordinance or building law can not effectively control the site specific local environment, heat island policy should be established or employed at local level. 3. Incentives for the mitigation should be adopted on the process of implementation because environment is public concern. 4. Wind can easily dissipate energy surplus which is the major driving force for heat island. Therefore local wind, the direction and intensity should be sustained and sometimes facilitated fully through policies.

An Econometric Analysis of Mitigating Urban Heat Island Effect with Urban Forest (계량경제적 접근을 통한 도시림의 도시열섬 완화효과 분석)

  • Kim, Dong-Hyeon;Kim, Eui-Gyeong;Yang, Jun-Seok;Kim, Hyeon-Geun;Shin, Hae-Jin
    • 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 $1.15^{\circ}C$.

Wind Road Analysis System Using GIS (GIS를 활용한 바람길 분석시스템)

  • Park, Tae-Og;Kim, Nam-Mi;Kim, Kyung-Jong;Kim, Do-Hoon
    • 한국공간정보시스템학회:학술대회논문집
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    • pp.98-103
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    • 2003
  • 환경이 하나의 도시계획 요소로 작용하고 있는 상황에서 기후요소인 바람을 도시계획시 고려하여, 기존의 도시계획과는 다른 관점을 제시해 주는 분석시스템이다. 기상자료 및 해당 도면의 속성자료를 토대로 GRID분석과 Kriging보간 알고리즘을 구현하여 대상지역의 온도분포 및 바람흐름, 바람통로를 찾아내고자 하였다. 기후지도를 이용하여 주요 바람길을 파악할 수 있으며 대상지내 신선한 공기가 시작되는 녹지들을 추출하여 녹지계획의 핵으로 정한다. 녹지의 핵으로부터 각각의 녹지로 연결되는 바랑의 길을 분석하여 도시계획업무추진 시 바랑통로가 단절된 곳이나 단절된 계획이 있는 곳을 파악한다. 그리고 바람통로를 위해서 보존할 곳과 올바른 바람을 유도할 곳 등을 생성한다. 또한 본 연구에서는 열섬현상이 빈번히 발생하는 대구시를 대상지로 정하여 Landsat TM영상을 활용 도시의 열섬현상을 분석하고 시스템을 통해 제작된 기후지도를 활용한 열섬 현상 저감방안도 모색하였다.

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