Spatial and temporal urban air pollution patterns based on limited data of monitoring stations

Ding, Junwei; Ren, Chen; Wang, Junqi; Feng, Zhuangbo; Cao, Shi-Jie

doi:10.1016/j.jclepro.2023.140359

Cited by 8 publications

(2 citation statements)

References 45 publications

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“…In suburban areas, which are relatively empty and do not have a large number of other buildings around the CSB, the shadow coverage is small, and the contribution of the CSB to the temperature is more pronounced. The research indicates a significant relationship between landscape indices and land surface temperature (Ding et al, 2024). Therefore, studying the relationship between landscape indices of CSB and LST is also a part that needs to be considered in subsequent research.…”

Section: Discussionmentioning

confidence: 98%

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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: Discussionmentioning

confidence: 98%

“…Some studies determine their own criteria based on their research focus. Ding (Ding et al, 2024) use the ratio of undeveloped land in buffer zones to total area to distinguish suburban and urban attributes. However, traditional suburban definitions do not apply to the scope of this study.…”

Section: Figurementioning

confidence: 99%