Mitigating urban heat island through neighboring rural land cover

Nature Cities, Год журнала: 2024, Номер 1(8), С. 522 - 532

Опубликована: Июль 5, 2024

Abstract Globally, the deteriorating Urban Heat Island (UHI) effect poses a significant threat to human health and undermines ecosystem stability. UHI mitigation strategies have been investigated utilized extensively within cities by provision of green, blue or gray infrastructures. However, urban land is precious limited for these interventions, making it challenging address this issue. Neighboring rural cover may serve as cooling source great potential mitigate through processes such heat absorption circulation. This study aims following questions: (1) what location neighboring effectively entire city (2) are key parameters landscape. We quantitative qualitative relationships between UHI, drawing on geographical environmental data from 30 Chinese 2000 2020. found that extending outward boundary, approximately half equivalent diameter city, had most pronounced impact mitigation. The number adjacency landscape patches (a patch homogeneous nonlinear basic unit pattern, distinct its surroundings) emerged two factors in mitigating with their individual reduce up 0.5 °C. proposed recommendations were avoid fragmentation enhance shape complexity distribution uniformity patches. work opens new avenues addressing high-temperature catastrophes perspective, which also promote coordinated development areas.

Язык: Английский

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Comparative Analysis of the Seasonal Driving Factors of the Urban Heat Environment Using Machine Learning: Evidence from the Wuhan Urban Agglomeration, China, 2020

Atmosphere, Год журнала: 2024, Номер 15(6), С. 671 - 671

Опубликована: Май 31, 2024

With the ongoing advancement of globalization significantly impacting ecological environment, continuous rise in Land Surface Temperature (LST) is increasingly jeopardizing human production and living conditions. This study aims to investigate seasonal variations LST its driving factors using mathematical models. Taking Wuhan Urban Agglomeration (WHUA) as a case study, it explores characteristics employs Principal Component Analysis (PCA) categorize factors. Additionally, compares traditional models with machine-learning select optimal model for this investigation. The main conclusions are follows. (1) WHUA’s exhibits significant differences among seasons demonstrates distinct spatial-clustering different seasons. (2) Compared geographic spatial models, Extreme Gradient Boosting (XGBoost) shows better explanatory power investigating effects LST. (3) Human Activity (HA) dominates influence throughout year positive correlation LST; Physical Geography (PG) negative Climate Weather (CW) show similar variation PG, peaking transition; Landscape Pattern (LP) weak LST, winter while being relatively inconspicuous summer transition. Finally, through comparative analysis multiple constructs framework exploring features aiming provide references guidance development WHUA regions.

Язык: Английский

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Examining water bodies' cooling effect in urban parks with buffer analysis and random forest regression

Urban Climate, Год журнала: 2025, Номер 59, С. 102301 - 102301

Опубликована: Янв. 30, 2025

Язык: Английский

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Optimizing Urban Green Space Configurations for Enhanced Heat Island Mitigation: A Geographically Weighted Machine Learning Approach

Sustainable Cities and Society, Год журнала: 2024, Номер unknown, С. 106087 - 106087

Опубликована: Дек. 1, 2024

Язык: Английский

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Revealing the roles of climate, urban form, and vegetation greening in shaping the land surface temperature of urban agglomerations in the Yangtze River Economic Belt of China

Journal of Environmental Management, Год журнала: 2025, Номер 377, С. 124602 - 124602

Опубликована: Фев. 20, 2025

Язык: Английский

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From city to countryside: Unraveling the long-term complex effects of urbanization on vegetation growth in China

Journal of Environmental Management, Год журнала: 2025, Номер 380, С. 124975 - 124975

Опубликована: Март 13, 2025

Язык: Английский

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Constructing an Ecological Network Based on Heat Environment Risk Assessment: An Optimisation Strategy for Thermal Comfort Coupling Society and Ecology

Sustainability, Год журнала: 2024, Номер 16(10), С. 4109 - 4109

Опубликована: Май 14, 2024

Urbanisation is a significant driver of global climate change. It increases temperatures, impacting the health residents. To date, research on urban heat environments has focused society or ecology, overlooking value integrating two factors. The objective to integrate socio-ecological benefits, explore construction methods ecological-cooling networks, and provide reasonable guidance for planning, thus contributing alleviation risks improving thermal comfort. Using Fuzhou as an example, environmental risk framework was used construct environment assessment strategy based hazards (thermal comfort), exposure (human-development footprint), vulnerability (natural geographic conditions). source area identified evaluation results, ecological network constructed using circuit theory, key nodes were identified. Results showed that in 2005 2020, 3% 12% areas had higher risks, proportion low-risk 43% 28%, respectively. In sum, 54 locations, 124 corridors, 76 pinch points, 110 obstacle 12 stepping stones during corridors 2020. Compared with 2005, decreased by 1622.46 km2 average length corridor also 4.69 km.

Язык: Английский

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How do the 3D urban morphological characteristics spatiotemporally affect the urban thermal environment? A case study of San Antonio

Building and Environment, Год журнала: 2024, Номер 261, С. 111738 - 111738

Опубликована: Июнь 12, 2024

Язык: Английский

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Tailored green and blue infrastructure for heat mitigation under renewal planning of urban blocks in Beijing

The Science of The Total Environment, Год журнала: 2025, Номер 967, С. 178759 - 178759

Опубликована: Фев. 13, 2025

Язык: Английский

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Compact and livable? Identifying and managing the relationships between intensive land use and urban livability: Evidence from 337 cities in China

Ecological Economics, Год журнала: 2025, Номер 232, С. 108562 - 108562

Опубликована: Фев. 22, 2025

Язык: Английский

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