Impact of built environment on urban surface temperature based on multi-source data at the community level in Beilin District, Xi’an, China

Zheng, Dianyuan; Huang, Xiaojun; Qi, Mingyue; Zhao, Xin; Zhang, Yuxing; Yang, Minghan

doi:10.1007/s11356-023-30119-1

Cited by 3 publications

(1 citation statement)

References 49 publications

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“…At the same time, vegetation plays a noticeable cooling effect on the LST. The index of the Contribution of other buildings to the temperature is negative, and this result is inconsistent with that in other studies, i.e., urban buildings can increase the LST to varying degrees (Hao et al, 2016;Morabito et al, 2017;Zheng et al, 2023). The reason for this phenomenon is that the overall high temperature in the suburbs of Urumqi, surrounded by mountains on three sides and covered by large areas of bare soil and rock, is the main factor for the increase in LST in the suburbs.…”

Section: Differences In the Contribution Of Localized Csbcontrasting

confidence: 65%

Influence of color steel buildings on urban land surface temperature: a case study in Urumqi, Xinjiang, China

Li,

Yang,

Luo

et al. 2024

Front. Environ. Sci.

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Introduction: Highly clustered color steel buildings (CSB) have become new impervious surfaces and heat island areas in cities due to their materials, especially in the Northwest. However, the extent of the influence of CSB on land surface temperature (LST) and how they are quantitatively related to each other have not been explored.Methods: Therefore, this paper takes Urumqi city, which is densely populated with CSB and has a unique topography, as an example. We obtained LST data and CSB data based on Landsat and Google Earth images, and quantitatively analyzed the warming effect of the CSB on the urban LST and the characteristics of regional variability.Results and discussion: The results of the study showed that from 2005 to 2020, the scale of CSB in Urumqi City has been expanding, with high-density aggregation shifting from urban areas to the suburbs. The urban area of Urumqi city shows a “cool island effect”, with higher temperatures in CSB. The high-density distribution of CSB roughly coincides with the high temperature areas of the city. The density of CSB is highly positively correlated with LST, with the correlation coefficient reaching 0.973 in 2010. For every 0.2 increase in cluster density, the corresponding temperature can rise by 0.4°C. At the same density of aggregation, the average temperature of urban CSB is lower than that in the suburbs. The contribution index of suburban CSB to LST reaches 0.512, significantly higher than the surrounding other buildings, marked it one of the main contributors to the thermal environment in the suburbs.The research results can provide a reference and data support for the sustainable development and planning of cities.

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Section: Differences In the Contribution Of Localized Csbcontrasting

confidence: 65%

Influence of color steel buildings on urban land surface temperature: a case study in Urumqi, Xinjiang, China

Li,

Yang,

Luo

et al. 2024

Front. Environ. Sci.

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The spatiotemporal patterns and regional characteristics of extreme heat disaster risk in China at the county level

Zheng,

Huang,

Yue

2024

Journal of Cleaner Production

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Investigation into the Mechanism of the Impact of Sunlight Exposure Area of Urban Artificial Structures and Human Activities on Land Surface Temperature Based on Point of Interest Data

Wang,

Zhang,

Ding

2024

Land

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With rapid urbanization, the urban heat island (UHI) effect has intensified, posing challenges to human health and ecosystems. This study explores the impact of sunlight exposure areas of artificial structures and human activities on land surface temperature (LST) in Hefei and Xuzhou, using Landsat 9 data, Google imagery, nighttime light data, and Point of Interest (POI) data. Building shadow distributions and urban road surface areas were derived, and geospatial analysis methods were applied to assess their impact on LST. The results indicate that the sunlight exposure areas of roofs and roads are the primary factors affecting LST, with a more pronounced effect in Xuzhou, while anthropogenic heat plays a more prominent role in Hefei. The influence of sunlight exposure on building facades is relatively weak, and population density shows a limited impact on LST. The geographical detector model reveals that interactions between roof and road sunlight exposure and anthropogenic heat are key drivers of LST increases. Based on these findings, urban planning should focus on optimizing building layouts and heights, enhancing greening on roofs and roads, and reducing the sunlight exposure areas of artificial structures. Additionally, strategically utilizing building shadows and minimizing anthropogenic heat emissions can help lower local temperatures and improve the urban thermal environment.

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Impact of built environment on urban surface temperature based on multi-source data at the community level in Beilin District, Xi’an, China

Cited by 3 publications

References 49 publications

Influence of color steel buildings on urban land surface temperature: a case study in Urumqi, Xinjiang, China

Influence of color steel buildings on urban land surface temperature: a case study in Urumqi, Xinjiang, China

The spatiotemporal patterns and regional characteristics of extreme heat disaster risk in China at the county level

Investigation into the Mechanism of the Impact of Sunlight Exposure Area of Urban Artificial Structures and Human Activities on Land Surface Temperature Based on Point of Interest Data

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