Surface urban heat island effect and its driving factors for all the cities in China: Based on a new batch processing method

Zhang, Wei; Li, Yuqing; Zheng, Caigui; Zhu, Yun

doi:10.1016/j.ecolind.2022.109818

Cited by 22 publications

(5 citation statements)

References 70 publications

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“…The large number of open inter-block spaces in Lulin fa to help mitigate the effect. The SUHI methodology, its accuracy, and operational feasibility are of fundamen importance for monitoring the phenomenon [75]. The calculation approach proposed he is an interpretation of the traditional approach focusing on the precision of the resu The SUHI methodology, its accuracy, and operational feasibility are of fundamental importance for monitoring the phenomenon [75].…”

Section: Applicability Of the Resultsmentioning

confidence: 99%

“…The SUHI methodology, its accuracy, and operational feasibility are of fundamen importance for monitoring the phenomenon [75]. The calculation approach proposed he is an interpretation of the traditional approach focusing on the precision of the resu The SUHI methodology, its accuracy, and operational feasibility are of fundamental importance for monitoring the phenomenon [75]. The calculation approach proposed here is an interpretation of the traditional approach focusing on the precision of the results with emphasis on the intensity of the phenomenon and its specific spatial parameters of occurrence.…”

Section: Applicability Of the Resultsmentioning

confidence: 99%

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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: Applicability Of the Resultsmentioning

confidence: 99%

Section: Applicability Of the Resultsmentioning

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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show abstract

“…(2) It emphasizes the explanatory power of the historical urbanization process on SUHI effect. A large number of literatures discussed the impacts of some static driving factors on SUHI effect, such as underlying surface, climatic conditions, urban form and air pollution [ 29 , 37 , 78 ]. Regrettably, the impacts of socio-economic dynamic process on SUHI effect were rarely mentioned [ 54 ].…”

Section: Discussionmentioning

confidence: 99%

Contrary to expectation: The surface urban heat island intensity is increasing in population shrinking region while decreasing in population growing region-A comparative analysis from China

Liu,

Zhang

2024

PLoS ONE

Self Cite

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Exploring the complex relationship between population change and surface urban heat island (SUHI) effect has important practical significance for the ecological transformation development of shrinking cities in the context of the prevalence of urban shrinkage and the global climate change. This paper compares the population change and SUHI effect between population shrinking region (Northeast Region, NR) and population growing region (Yangtze River Delta, YRD) in China, and explores their differences in driving mechanisms, using GIS spatial analysis and Geodetector model. Our results indicated that there are significant differences in population changes and SUHI intensity between these two regions. About 72.22% of the cities in the NR were shrinking, while their SUHI intensities increased by an average of 1.69°C. On the contrary, the urban population in the YRD shows a linear growth trend, while their SUHI intensities decreased by 0.11°C on average. The results of bivariate Moran’s I index also indicated that the spatial correlation between the urban population changes and the SUHI intensity changes are not significant in the above regions. Furthermore, there are significant differences in the primary drivers of SUHI variations between these two regions. In the NR, underlying surface changes, including the changes of green coverage and built-up areas, are the most important driving factors. However, atmospheric environment changes, such as carbon dioxide emission and sulfur dioxide emission, are the key drivers in the YRD. Northam’s theory of three-stage urbanization and environmental Kuznets curve hypothesis are powerful to explain these differences.

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“…Global climate change has presented unprecedented challenges for humanity manifesting in various ways [1]. Rising air temperatures, changes in rainfall patterns, and increased occurrences of extreme disasters like droughts and floods are clear indications of this phenomenon [2].…”

Section: Introductionmentioning

confidence: 99%

Climate change and surface urban heat islands in Jakarta: analysis of Landsat data and ground observations

Lathiifunnisa,

Sofan,

Astuti

2024

Eighth Geoinformation Science Symposium 2023: Geoinformation Science for Sustainable Planet

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Climate change has led to an increase in global air temperatures, posing a threat to the liability of capital cities. This study focuses on understanding the Surface Urban Heat Island (SUHI) phenomena, which occurs over cities and is exacerbated by climate change. Spectral indices derived from Landsat data were used to understand SUHI, while trends in air temperature, precipitation, and relative humidity were analyzed using ground observation data collected from 1992 to 2022 in the capital city of Indonesia, Jakarta. The spectral indices used were the Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Soil Adjusted Vegetation Index (SAVI), and Normalized Difference Moisture Index (NDMI). Land Surface Temperature (LST) was used to represent SUHI. Results indicate that NDMI has the highest Pearson's correlation coefficient with LST (-0.73), followed by EVI (-0.41), SAVI (-0.4), and NDVI (-0.4). Trend analysis using Mann-Kendal test and Sen's Slope showed a statistically significant increase in air temperature with a slope estimation of 0.03 o C per year, while rainfall and relative humidity did not significantly differ over 30 years. SUHI trend analysis showed a statistically significant increase with a slope estimation of 0.1 o C from 1992-2022. Mean surface temperature increased from 38.9 o C in 1992 to 39.4 o C in 2022. Jakarta's surface temperature ranged from 24°C -57°C across water bodies, vegetation, bare land, urban, and industry, analyzed using Support Vector Machine. This study provides insight into the condition of SUHI over time, allowing the government to make efforts to mitigate the impact of climate change.

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Surface urban heat island effect and its driving factors for all the cities in China: Based on a new batch processing method

Cited by 22 publications

References 70 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)

Contrary to expectation: The surface urban heat island intensity is increasing in population shrinking region while decreasing in population growing region-A comparative analysis from China

Climate change and surface urban heat islands in Jakarta: analysis of Landsat data and ground observations

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