Exploring surface urban heat island (SUHI) intensity and its implications based on urban 3D neighborhood metrics: An investigation of 57 Chinese cities

Zhou, Yi; Zhao, Haile; Mao, Sicheng; Zhang, Guoliang; Jin, Yulin; Luo, Yuchao; Huo, Wei; Pan, Zhihua; An, Ping; Lun, Fei

doi:10.1016/j.scitotenv.2022.157662

Cited by 30 publications

(6 citation statements)

References 69 publications

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“…The UHI is a complex geospatial phenomenon of urban climate, formed under the direct influence of urban morphostructure, dominant architectural solutions, and the functionality of urban space. Remote sensing provides a new perspective to record the phenomenon [25,29,45,67], but there is still the challenge of capturing different aspects of the phenomenon simultaneously and with the necessary level of detail. Unmanned aerial vehicles equipped with appropriate sensors appear to be an effective option for urban surface heat island research, being able to provide high spatial resolution data on the Earth's surface temperature at appropriate time periods [68,69], and this quite naturally results in an increasing number of investigations [20].…”

Section: Discussionmentioning

confidence: 99%

UAS-Based Thermal Photogrammetry for Microscale Surface Urban Heat Island Intensity Assessment in Support of Sustainable Urban Development (A Case Study of Lyulin Housing Complex, Sofia City, Bulgaria)

Dimitrov,

Iliev,

Borisova

et al. 2024

Sustainability

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The urban heat island (UHI) and its intensity is one of the phenomena that are of determining importance for the comfort of living in cities and their sustainable development in the face of deepening climate change. The study is objectively difficult due to the large dynamics like land cover and the considerable diversity of land use patterns in urban areas. Most of the frequently used research practice approaches provide information with problematic spatial and temporal resolution, making them difficult to apply for sustainable urban planning purposes. This paper proposes to calculate SUHI intensity as the difference between the temperature of a given point within a city and the average minimum temperature of the land cover class with the lowest surface temperatures within the same urban area. The study presents the results of the application of thermal photogrammetry based on the use of unmanned aerial systems (UAS), combined with geographic information systems (GIS), in the study of surface urban heat island intensity (SUHI), at the local level for the largest housing complex in Bulgaria–Lyulin district of the capital of Sofia city. The studies were carried out during a heat wave in July 2023. A difference of 16.5 °C was found between locations with SUHI occurrence and of the peripheral non-build and natural land cover types within the urbanized area. The information benefits of locally addressed data and their direct applicability are discussed to support decision-making processes in the planning and management of urban areas, including their climate adaptation and sustainable development.

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Section: Discussionmentioning

confidence: 99%

UAS-Based Thermal Photogrammetry for Microscale Surface Urban Heat Island Intensity Assessment in Support of Sustainable Urban Development (A Case Study of Lyulin Housing Complex, Sofia City, Bulgaria)

Dimitrov,

Iliev,

Borisova

et al. 2024

Sustainability

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“…SUHI refers to the phenomenon that surface temperature rises more than suburban, which can be quantified and standardized by land surface temperature (LST) data derived from satellite images. Some factors affect the SUHI intensity, such as the surface X. HAO AND Z. TONG impermeability and building density (Hu et al, 2019, Zhou et al, 2022. Due to the accessibility of LST data, existing studies have focused mainly on SUHI.…”

Section: Introductionmentioning

confidence: 99%

Identifying the Effect of Wind Condition on Canopy Urban Heat Island: A Case Study in Nanjing

Hao¹,

Tong²

2023

Proceedings of the 28th Conference on Computer Aided Architectural Design Research in Asia (CAADRIA) [Volume 2]

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The canopy urban heat island (CUHI) stands for the phenomenon where the air temperature in an urban area is significantly higher than in a suburban area. Identifying CUHIs and their pattern can improve the health and comfort of urban residents. However, previous studies have focused more on surface urban heat island (SUHI) yet lacking a proper quantification tool for canopy heat islands. This study integrates local climate zone (LCZ), urban form classification data, and anthropogenic heat to quantify the canopy temperature, so as to analyze the distribution of CUHIs as well as the relation with wind condition. The case study of Nanjing selects the weather data representing days with different wind directions, uses WRF to simulate local air temperatures and wind speeds and directions, and analyses the influence of wind on CUHI through comparison. The results show that: 1) in the case of Nanjing, wind direction within 50-90° increases CUHI and leads to a continuous rise in air temperature; 2) when the wind direction falls in some specific ranges, the overall CUHI area significantly shrinks. In short, this paper shows how wind condition affects CUHI, which contributes to predicting CUHI and reducing the risk of heat exposure to urban populations, and provides guidance for urban management and design.

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“…The SUHI effect is one of the greatest concerns for its adverse impacts on air and water quality, energy consumption, and urban dwellers' health during heat wave events [3]. The SUHI phenomenon has been observed worldwide, especially in developing countries such as China [4]. In the summer of 2022, China faced its most severe heatwave in over six decades [5].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Long Time Series of Summer Surface Urban Heat Island under the Missing-Filled Satellite Data Scenario

Luo,

Yao,

Yin

2023

Sensors

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Surface urban heat islands (SUHIs) are mostly an urban ecological issue. There is a growing demand for the quantification of the SUHI effect, and for its optimization to mitigate the increasing possible hazards caused by SUHI. Satellite-derived land surface temperature (LST) is an important indicator for quantifying SUHIs with frequent coverage. Current LST data with high spatiotemporal resolution is still lacking due to no single satellite sensor that can resolve the trade-off between spatial and temporal resolutions and this greatly limits its applications. To address this issue, we propose a multiscale geographically weighted regression (MGWR) coupling the comprehensive, flexible, spatiotemporal data fusion (CFSDAF) method to generate a high-spatiotemporal-resolution LST dataset. We then analyzed the SUHI intensity (SUHII) in Chengdu City, a typical cloudy and rainy city in China, from 2002 to 2022. Finally, we selected thirteen potential driving factors of SUHIs and analyzed the relation between these thirteen influential drivers and SUHIIs. Results show that: (1) an MGWR outperforms classic methods for downscaling LST, namely geographically weighted regression (GWR) and thermal image sharpening (TsHARP); (2) compared to classic spatiotemporal fusion methods, our method produces more accurate predicted LST images (R2, RMSE, AAD values were in the range of 0.8103 to 0.9476, 1.0601 to 1.4974, 0.8455 to 1.3380); (3) the average summer daytime SUHII increased form 2.08 °C (suburban area as 50% of the urban area) and 2.32 °C (suburban area as 100% of the urban area) in 2002 to 4.93 °C and 5.07 °C, respectively, in 2022 over Chengdu City; and (4) the anthropogenic activity drivers have a higher relative influence on SUHII than other drivers. Therefore, anthropogenic activity driving factors should be considered with CO2 emissions and land use changes for urban planning to mitigate the SUHI effect.

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Exploring surface urban heat island (SUHI) intensity and its implications based on urban 3D neighborhood metrics: An investigation of 57 Chinese cities

Cited by 30 publications

References 69 publications

UAS-Based Thermal Photogrammetry for Microscale Surface Urban Heat Island Intensity Assessment in Support of Sustainable Urban Development (A Case Study of Lyulin Housing Complex, Sofia City, Bulgaria)

UAS-Based Thermal Photogrammetry for Microscale Surface Urban Heat Island Intensity Assessment in Support of Sustainable Urban Development (A Case Study of Lyulin Housing Complex, Sofia City, Bulgaria)

Identifying the Effect of Wind Condition on Canopy Urban Heat Island: A Case Study in Nanjing

Analysis of Long Time Series of Summer Surface Urban Heat Island under the Missing-Filled Satellite Data Scenario

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