Simulation of Cooling Island Effect in Blue-Green Space Based on Multi-Scale Coupling Model

Pan, Ziwu; Xie, Zunyi; Pan, Yu; Ding, Na; Liang, Qiushuang; Qin, Fen

doi:10.3390/rs15082093

Cited by 6 publications

(3 citation statements)

References 57 publications

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“…Although the aggregation density of CSB and LST as a whole shows a positive relationship, but in the local area there is a noncorrelation of special cases, the reason may be related to a certain range of building layout or vegetation coverage (Mohajerani et al, 2017;Yao et al, 2018). The results of the article show that the contribution index of the samples in the vegetation coverage area is negative, and we know that water bodies and vegetation usually can mitigate the urban heat island when they are used as blue-green space in cities (Pan et al, 2023;Zhou et al, 2023). Suburban CSB are less affected by blue-green covered areas.…”

Section: Discussionmentioning

confidence: 82%

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: 82%

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 WRF/UCM model, being a single-layer model, has the capability to replicate the urban blue-green space, encompassing a wide range of urban structures and geometries. This leads to enhanced horizontal weather prediction accuracy and improved boundary conditions for simulations [43][44][45][46][47][48][49][50]. Over the last twenty years, the ESLZ has undergone rapid and uncontrolled urbanization, resulting in the conversion of numerous vacant land parcels into developed, built-up areas.…”

Section: Climate Model Datasetmentioning

confidence: 99%

Evolution Patterns of Cooling Island Effect in Blue–Green Space under Different Shared Socioeconomic Pathways Scenarios

et al. 2023

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Blue–green space refers to blue space (rivers and lakes) and green space (lawns and trees), which have the cooling island effect and are increasingly acknowledged as a potential and effective way to help alleviate the urban heat island effect. Scientific and flexible blue–green space planning is required, especially for medium- and large-scale urban agglomerations in the face of climate change. However, the temporal evolution and spatial patterns of the cooling island effect in the blue–green space under different future scenarios of climate change have not been fully investigated. This would impede long-term urban strategies for climate change adaptation and resilience. Here we studied the relationship between future climate change and blue–green spatial layout with Weather Research and Forecasting (WRF), based on the numerical simulation data of 15 global climate models under different extreme Shared Socioeconomic Pathway (SSP) scenarios. As a result, future changes in urban cooling island (UCI) magnitudes were estimated between historical (2015–2020) and future timelines: 2030s (2021–2040), 2050s (2041–2060), 2070s (2061–2080), and 2090s (2081–2100). Our results showed different land use types in blue and green space across the study area were predicted to present various changes in the next 80 years, with forest, grassland, and arable land experiencing the most significant land use transfer. The future UCI intensity of cities under SPP5-8.5 (12) was found to be lower than that under SPP2-4.5 (15), indicating that cities may be expected to experience decreases in UCI magnitudes in the future under SSP5-8.5. When there is no expansion of urban development land, we found that the conversion of different land use types into blue and green space leads to little change in future UCI intensity. While the area growth of forests and water bodies is proportional to the increase in UCI, the increase of farmland was observed to have the most significant impact on reducing the amplitude of urban UCI. Given that Huai’an City, Yancheng City, and Yangzhou City have abundant blue–green space, the urban cooling island effect was projected to be more significant than that of other cities in the study area under different SSP scenarios. The simulation results of the WRF model indicate that optimizing the layout of urban blue–green space plays an important role in modulating the urban thermal environment.

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“…Exposure to GBSs means a closeness with nature, which has several benefits for visitors, including but not limited to better social interaction [41], solid social cohesion [42], improvements in psychological state [18,21,41], and improved physical health [43]. These benefits result from ecosystem services provided by GBSs through mitigating air pollution [44][45][46], cooling the surrounding temperature [47], and adjusting the regional climate [19]. Studies using facial expression scores have fully identified these positive effects with more details about the involvement of driving forces, such as landscape metrics [17,18,20,21], plant diversity [24], regional climate [19,48,49], and air quality [44][45][46].…”

Section: Introductionmentioning

confidence: 99%

Salary Satisfaction of Employees at Workplace on a Large Area of Planted Land

Sun,

Ma,

Liu

et al. 2023

Land

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Salary satisfaction (SS) perception by employees can be affected by psychological impacts from the workplace setting. Landscape attributes of green and blue spaces (GBS) may account for this effect, but relevant evidence is rarely verified. In this study, a total of 56 Chinese industrial parks were chosen as study sites, where employee satisfaction was assessed by rating facial expression scores (happy, sad, and neutral emotions) in photos obtained from social networks (Sina Weibo and Douyin). The structures of the GBSs were characterized remotely by largeness of size, height, and visible ratio of green view (GVI) in a 2 km radius buffer area around the workplace. Street view images from Baidu map were selected for estimating GVI using a pre-trained deep learning model and botanical experts evaluating woody plants’ diversity. The results indicated that SS can be estimated with the maximum likelihood analysis model against the happy score, which ranged within 8.37–18.38 (average: 13.30 ± 2.32) thousand RMB. A regression model indicated SS was lowered by a larger green space area in agreement with a reduced happy score. Further, sad scores in highland areas with tall plants and a strong depression on the happy score was associated with a greater plant diversity. Interesting from this study, the designed apparent size of green space should be considered in green space construction near a workplace to prevent perceptional decline towards SS, while blue space is irrelevant in this relationship. Similarly, the diversity of woody plants should be planned to control its negative impact on the perception of positive emotions, with plant diversity beyond a comfortable level perhaps further decreasing SS.

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Simulation of Cooling Island Effect in Blue-Green Space Based on Multi-Scale Coupling Model

Cited by 6 publications

References 57 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

Evolution Patterns of Cooling Island Effect in Blue–Green Space under Different Shared Socioeconomic Pathways Scenarios

Salary Satisfaction of Employees at Workplace on a Large Area of Planted Land

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