Assessment of surface urban heat island across China’s three main urban agglomerations

Liu, Yonghong; Fang, Xiaoyi; Xu, Youtao; Zhang, Shuo; Luan, Qingzu

doi:10.1007/s00704-017-2197-3

Cited by 52 publications

(32 citation statements)

References 43 publications

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“…Different-sized rural [52,53,76,109] and suburban [2,4,6,62,[110][111][112][113][114][115] zones have been used as the reference areas. Other surface cover, such as water body [116,117], cropland [117][118][119], forest [120], and low-intensity ISA [121] have also been taken as the references in a few studies. Second, the area-weighted mean urban-reference LST differences were calculated to reflect the SUHI intensity or magnitude.…”

Section: Lst Differences Between Urban and Surrounding Reference Areasmentioning

confidence: 99%

Satellite Remote Sensing of Surface Urban Heat Islands: Progress, Challenges, and Perspectives

et al. 2018

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The surface urban heat island (SUHI), which represents the difference of land surface temperature (LST) in urban relativity to neighboring non-urban surfaces, is usually measured using satellite LST data. Over the last few decades, advancements of remote sensing along with spatial science have considerably increased the number and quality of SUHI studies that form the major body of the urban heat island (UHI) literature. This paper provides a systematic review of satellite-based SUHI studies, from their origin in 1972 to the present. We find an exponentially increasing trend of SUHI research since 2005, with clear preferences for geographic areas, time of day, seasons, research foci, and platforms/sensors. The most frequently studied region and time period of research are China and summer daytime, respectively. Nearly two-thirds of the studies focus on the SUHI/LST variability at a local scale. The Landsat Thematic Mapper (TM)/Enhanced Thematic Mapper (ETM+)/Thermal Infrared Sensor (TIRS) and Terra/Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) are the two most commonly-used satellite sensors and account for about 78% of the total publications. We systematically reviewed the main satellite/sensors, methods, key findings, and challenges of the SUHI research. Previous studies confirm that the large spatial (local to global scales) and temporal (diurnal, seasonal, and inter-annual) variations of SUHI are contributed by a variety of factors such as impervious surface area, vegetation cover, landscape structure, albedo, and climate. However, applications of SUHI research are largely impeded by a series of data and methodological limitations. Lastly, we propose key potential directions and opportunities for future efforts. Besides improving the quality and quantity of LST data, more attention should be focused on understudied regions/cities, methods to examine SUHI intensity, inter-annual variability and long-term trends of SUHI, scaling issues of SUHI, the relationship between surface and subsurface UHIs, and the integration of remote sensing with field observations and numeric modeling.

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Section: Lst Differences Between Urban and Surrounding Reference Areasmentioning

confidence: 99%

Satellite Remote Sensing of Surface Urban Heat Islands: Progress, Challenges, and Perspectives

et al. 2018

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“…Many studies report changes in the UHI intensity across different urban locations; such differences tend to be positive during the nighttime, reaching the highest values just before sunrise [11,13,15,[24][25][26][27][28][29][30]. Conversely, during the morning, negative UHI has also been identified [26][27][28][29]31,32], in what is often called as the Urban Cold Island effect (UCI) [27,29,31]. This process takes place mostly because buildings (or other urban elements) block the solar radiation during the early hours of the day, providing shade in urban areas, while those same structures affect the wind speed inside the urban structure, setting the basis for the UCI [33].…”

Section: Introductionmentioning

confidence: 99%

Urban Cold and Heat Island in the City of Bragança (Portugal)

Gonçalves

Ornellas

Ribeiro

et al. 2018

Climate

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The thermal environment is an important aspect of the urban environment because it affects the quality of life of urban residents and the energy use in buildings. Urban Heat Island (UHI) and Urban Cold Island (UCI) are complementary effects that are the consequence of cities’ structures interference with the local climate. This article presents results from five years of urban climate monitoring (2012–2016) in a small Portuguese city (Bragança) using a dense meteorological network of 23 locations covering a wide array of Local Climate Zones (LCZ), from urban areas to nearby rural areas. Results show the presence of both the UHI effect, from mid-afternoon until sunrise, and the UCI after sunrise, both being more intense under the dense midrise urban context and during the summer. Urban Green Spaces had an impact on both UHI and UCI, with an important role in cooling areas of the city during daytime in the summer. Other LCZs had less impact on local thermal conditions. Despite the small size of this city, both effects (UHI and UCI) had a relevant intensity with an impact on local climate conditions. Both effects tend to decrease in intensity with increasing wind speed and precipitation.

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“…In high temperatures urban areas, smog and harmful gases will increase and accumulate, resulting in serious air pollution over the city, which will cause digestive system or nervous system diseases [7][8][9]. Studies on UA thermal environment dynamics and associated driving factors (e.g., land cover and socioeconomic factors) have been reported [25][26][27][28][29][30][31]. This study focuses on investigating the changing relationships (difference, distance, interaction, etc.)…”

Section: Discussionmentioning

confidence: 99%

“…MODIS products have been successfully used to conduct thermal environment study in BTH area [31][32][33]. Hence, the monthly 1-km MODIS LST products were selected to investigate the RTE dynamics in this study.…”

Section: Modis Productsmentioning

confidence: 99%

“…Reference [30] indicated that population density, energy consumption, average temperature and urban area had a significant positive correlation with UHI intensity; however, the average wind speed and average precipitation were significantly negatively correlated with it. Reference [31] demonstrated UHI effect within Chinese three major UAs (the BTH, YRD and PRD) was serious during 2010-2014, and the morphology of heat islands was significantly influenced by urban expansion. Urban population and electricity consumption were the socioeconomic factors that exerted the greatest influence on the size of heat islands in China's major UAs.…”

Section: Introductionmentioning

confidence: 99%

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Monitoring the Detailed Dynamics of Regional Thermal Environment in a Developing Urban Agglomeration

Liu

Hui

Gao

et al. 2020

Sensors

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Many studies have revealed the characteristics and spatial-temporal dynamics of the thermal environment in specific cities or urban agglomerations (UA), as well as the associated determining factors. However, few studies focus on the changing relationships (the difference, distance, interaction, etc.) among inner cities’ heat islands in a UA, which represent not only the detailed dynamics of regional thermal environment (RTE), but also the changing competition and cooperation among cities in a developing UA. In this study, we used Moderate Resolution Imaging Spectroradiometer (MODIS) land surface temperature (LST) products to map and analyze the detailed dynamics of the Beijing-Tianjin-Hebei (BTH) UA thermal environment. From 2001 to 2015, the mean surface urban heat island intensity (SUHII) of the BTH increased significantly, and the surface urban heat islands (SUHIs) in the southern BTH have rapidly increased, expanded and connected, eventually forming a large heat islands agglomeration. According to correlation analysis, urban sprawl probably led to the expansion and enhance of SUHIs in the south plain, while the forest has significantly alleviated urban heat island effect in northern mountains. The results expose the detailed evolution process of BTH thermal environment, and the changing relationships among the inner cities. In a developing UA, mitigation solutions (e.g., ecological corridors or controlling energy consumption) are in demand to stop the formation of a great heat region.

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Assessment of surface urban heat island across China’s three main urban agglomerations

Cited by 52 publications

References 43 publications

Satellite Remote Sensing of Surface Urban Heat Islands: Progress, Challenges, and Perspectives

Satellite Remote Sensing of Surface Urban Heat Islands: Progress, Challenges, and Perspectives

Urban Cold and Heat Island in the City of Bragança (Portugal)

Monitoring the Detailed Dynamics of Regional Thermal Environment in a Developing Urban Agglomeration

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