The influence of morphological characteristics of green patch on its surrounding thermal environment

Liu, Yanhong; Lin, Wenshi; Guo, Jun; Wei, Qingshun; Shamseldin, Asaad Y.

doi:10.1016/j.ecoleng.2019.105594

Cited by 9 publications

(7 citation statements)

References 23 publications

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“…Water feature corridors have a certain influence on a certain range of downwind zones; and the different orientation of green corridors and green patches made different contributions to the cooling effect [ 34 ]. The morphological spatial pattern analysis (MSPA) mode was used to identify the main types and structure of green spaces in the landscape, which will make the foundation of the green space network [ 35 , 36 , 37 ].…”

Section: Study Area and Methodologymentioning

confidence: 99%

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Comparative Study on the Cooling Effects of Green Space Patterns in Waterfront Build-Up Blocks: An Experience from Shanghai

Jiang

Shi

2020

IJERPH

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Different structural patterns of waterfront green space networks in built-up areas have different synergistic cooling characteristics in cities. This study’s aim is to determine what kinds of spatial structures and morphologies of waterfront green spaces offer a good cooling effect, combined with three different typical patterns in Shanghai. A multidimensional spatial influence variable system based on the cooling effect was constructed to describe the spatial structural and morphological factors of the green space network. The ENVI-met 4.3 software, developed by Michael Bruse at Bochum, German, was used to simulate the microclimate distribution data, combined with the boosted regression tree (BRT) model and the correlation analysis method. The results showed that at the network level, the distance from the water body and the connectivity of green space had a stronger cooling correlation. The orientation of green corridors consistent with a summer monsoon had larger cooling effect ranges. In terms of spatial morphology, the vegetation sky view factor (SVF) and Vegetation Surface Albedo (VSAlbedo) had an important correlation with air temperature (T), and the green corridor with a 20–25 m width had the largest marginal effect on cooling. These results will provide useful guidance for urban climate adaptive planning and design.

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Section: Study Area and Methodologymentioning

confidence: 99%

“…Categorical variable; value 1 = branch; 2 = islet; 3 = core patch; 4 = bridge; 5 = core corridor [35][36][37] dPC…”

Section: Multidimensional Spatial Variables Frameworkmentioning

confidence: 99%

Comparative Study on the Cooling Effects of Green Space Patterns in Waterfront Build-Up Blocks: An Experience from Shanghai

Jiang

Shi

2020

IJERPH

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“…They obtained quantitative indicators to improve the thermal environment and found that the green area ratio should be at least 60% to significantly improve the thermal effect [ 97 ]. Therefore, the type of urban green space, vegetation coverage, and spatial layout can all affect the urban thermal environment [ 42 , 98 ].…”

Section: Quantitative Simulations Of the Uste Based On Cfd Considering The Underlying Surface Dynamicsmentioning

confidence: 99%

Simulation of the Urban Space Thermal Environment Based on Computational Fluid Dynamics: A Comprehensive Review

Huo

Chen

Geng

et al. 2021

Sensors

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Rapid urbanization has made urban space thermal environment (USTE) problems increasingly prominent. USTE research is important for improving urban ecological environment and building energy consumption. Most studies on USTE research progress have focused on meteorological observations and remote sensing methods, and few studies on USTE are based on computational fluid dynamics (CFD). During the past two decades, with the increasing applications of CFD in USTE research, comprehensively summarizing the phased results have become necessary tasks. This paper analyzes the current research status of CFD-based USTE simulation from six perspectives. First, we summarize the current research status of USTE simulation with CFD models that integrate ground observations and remote sensing technology. Second, we define and classify the spatial scope of CFD-based USTE simulations at different scales. Third, we systematically analyze the quantitative relationships among urban land type, the underlying surface structure, water bodies, green space and the corresponding changes in CFD-based USTE simulations. Fourth, we quantitatively analyze the impact of anthropogenic heat in CFD-based USTE simulations. Fifth, we summarize the corresponding USTE mitigation measures and methods based on the CFD simulation results. Finally, the outlooks and the existing problems in current research on CFD simulations of the USTE are analyzed.

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“…Current research in this field has focused primarily on investigating the impact of various factors on the ecological benefits of UGSs. These factors include green-space shape characteristics [16], vegetation structure [17], external factors such as urban built environment, weather conditions [18], and biodiversity [19]. At present, the most widely used methods for evaluating the ecological benefits of UGSs include the value assessment method [20], the model evaluation method [21], and the indicator system method [22].…”

Section: Introductionmentioning

confidence: 99%

Assessment of Ecological Benefits of Urban Green Spaces in Nanjing City, China, Based on the Entropy Method and the Coupling Harmonious Degree Model

Sheng

Zhu

2023

Sustainability

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Urban green spaces (UGSs) are an important spatial carrier for carbon sequestration in the national land space. The urban ecosystem is a highly harmonious composite ecosystem of nature, society, and the economy. Therefore, this study constructed an evaluation system of the UGS ecological benefit based on two subsystems–the natural environment and the social economy–in order to quantitatively evaluate the construction level of the UGS ecological benefit in Nanjing City and to reveal its temporal evolution characteristics. The entropy method was applied to assess the ecological benefits of UGSs in Nanjing City, China, from 2011 to 2020. The coupling harmonious degree model was utilized to analyze the dynamic coordination relations among subsystems. The Robust regression analysis was used to verify the evaluation results. The results showed that: (i) Between 2011 and 2020, UGS ecological benefits in Nanjing City exhibited a substantial and consistent upward trend. (ii) Between 2011 and 2020, the coupling harmonious degree among the subsystems of UGS ecological benefits in Nanjing City showed an overall rising trend of fluctuation. With the enhancing of the coupling harmonious degree among the subsystems of UGSs, the ecological benefit of UGSs will be significantly improved. (iii) The comprehensive evaluation score of the social and economic subsystem of UGS in Nanjing City was higher than that of the natural environment subsystem; this highlights the significant constraints posed by the natural environment on the construction of UGSs in Nanjing City. The research conclusion provides a decision basis for realizing the collaborative optimization of the natural environment and the social economy in Nanjing City and further promotes the sustainable development of the UGS ecological environment.

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The influence of morphological characteristics of green patch on its surrounding thermal environment

Cited by 9 publications

References 23 publications

Comparative Study on the Cooling Effects of Green Space Patterns in Waterfront Build-Up Blocks: An Experience from Shanghai

Comparative Study on the Cooling Effects of Green Space Patterns in Waterfront Build-Up Blocks: An Experience from Shanghai

Simulation of the Urban Space Thermal Environment Based on Computational Fluid Dynamics: A Comprehensive Review

Assessment of Ecological Benefits of Urban Green Spaces in Nanjing City, China, Based on the Entropy Method and the Coupling Harmonious Degree Model

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