Study on the influencing factors and the spatiotemporal heterogeneity of Urban Heat Island effect in Nanchang City of China

Xiong, Qiongbing; Chen, Wenbo; He, Lili; Luo, Shiqi; Li, Haifeng

doi:10.1080/13467581.2022.2085723

Cited by 2 publications

(2 citation statements)

References 61 publications

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“…Xiong e al. [57] found that the relationship between the soil brightness index (NDSI), normalize built-up index (NDBI), night illumination (NL), and the relative effect strength of UH was significantly non-stationary in space. Gao et al [58] confirmed that the imperviou surface ratio (ISR) and building density (BD) rank of the urban form characterizes an en hanced UHI effect, while the green land rate (GR) was the key factor in the formation o…”

Section: Influencing Factors Of Urban Heat Islandsmentioning

confidence: 99%

“…Xiong and Zhang [56] pointed out that landscape pattern, urban construction intensity, and topography were the dominate factors affecting the spatial pattern of the urban thermal environment and identified that human factors have a greater role in promoting the UHI effect than natural factors do. Xiong et al [57] found that the relationship between the soil brightness index (NDSI), normalized built-up index (NDBI), night illumination (NL), and the relative effect strength of UHI was significantly nonstationary in space. Gao et al [58] confirmed that the impervious surface ratio (ISR) and building density (BD) rank of the urban form characterizes an enhanced UHI effect, while the green land rate (GR) was the key factor in the formation of cold islands in dense urban areas.…”

Section: Influencing Factors Of Urban Heat Islandsmentioning

confidence: 99%

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Research Progress and Hotspot Analysis of Urban Heat Island Effects Based on Cite Space Analysis

Liu

Wang

2023

Land

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The urban heat island (UHI) effect has become a hot topic in the global urban ecological environment. Research on the UHI effect is of great significance for alleviating urban environmental problems. Therefore, it has attracted the extensive attention of a large number of researchers in the field of urban environmental issues, such as urban ecologists, urban climatologists, urban planners, geographers, relevant policy makers, etc. However, systematic reviews are lacking on UHI research in the context of rapid urbanization and global change in recent years. In this study, we used Cite Space software to analyze the development process and current situation of UHI research from multiple perspectives during 2008–2021, aiming to reveal research hotspots and predict future trends. We found that UHI has gradually become a multidisciplinary field, and has existed in a flourishing period since 2008 with the rapid development of a number of publications. A large amount of research has been carried out by relevant institutions and scholars in 85 countries from 2008 to 2021. The hotspot research frontier focuses on the influencing factors, mitigation measures, and quantitative analysis of the UHI effect. Based on these trends and the status of the field, we proposed further research directions to promote interdisciplinary integration, optimize quantitative monitoring methods, strengthen the impact of three-dimensional urban landscape and vegetation landscape patterns, and expand the study of the urban agglomeration scale. Our results provide a valuable reference and potential frontier for future research in the field of the UHI effect.

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Section: Influencing Factors Of Urban Heat Islandsmentioning

confidence: 99%

Section: Influencing Factors Of Urban Heat Islandsmentioning

confidence: 99%

Research Progress and Hotspot Analysis of Urban Heat Island Effects Based on Cite Space Analysis

Liu

Wang

2023

Land

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Identification and Management of Epidemic Hazard Areas for Urban Sustainability: A Case Study of Tongzhou, China

Sun,

2024

Sustainability

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The global epidemic is relatively stable, but urban pandemics will still exist. This study used sDNA (spatial design network analysis), spatial autocorrelation, and GWR (geographically weighted regression analysis) to identify potentially risky roads, pandemic hazard areas, and various infrastructure hazard areas in the Tongzhou District for urban sustainability. The results show that urban roads at risk during an epidemic have high proximity and aggregation effects. These roads are mainly concentrated in the core area. The hazard identification areas are focused on the urban sub-center and Yizhuang New Town. This paper derives the actual hazard areas using the POI (points of interest) data of COVID-19 (coronavirus disease 2019) and compares the results with the hazard identification areas. It is found that the hazard identification areas do not show the actual hazard area completely. In this study, GWR analyses based on gridded data of infrastructure POI proximity are used to obtain the hazard areas of various infrastructure types and develop different control ranges and methods. This provides new perspectives for identifying priority areas for epidemic prevention, control, and sustainable urban development.

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Study on the influencing factors and the spatiotemporal heterogeneity of Urban Heat Island effect in Nanchang City of China

Cited by 2 publications

References 61 publications

Research Progress and Hotspot Analysis of Urban Heat Island Effects Based on Cite Space Analysis

Research Progress and Hotspot Analysis of Urban Heat Island Effects Based on Cite Space Analysis

Identification and Management of Epidemic Hazard Areas for Urban Sustainability: A Case Study of Tongzhou, China

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