Revealing Multiscale and Nonlinear Effects of Urban Green Spaces on Heat Islands in High-Density Cities: Insights from MSPA and Machine Learning

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106173 - 106173

Published: Jan. 1, 2025

Language: Английский

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Reducing PM2.5 and O3 through optimizing urban ecological land form based on its size thresholds

Atmospheric Pollution Research, Journal Year: 2025, Volume and Issue: unknown, P. 102466 - 102466

Published: Feb. 1, 2025

Language: Английский

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Employing the spray system to improve the regional thermal environment in outdoor open space

Urban Climate, Journal Year: 2024, Volume and Issue: 59, P. 102266 - 102266

Published: Dec. 31, 2024

Language: Английский

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Factors influencing the coupled and coordinated development of cities in the Yangtze River Economic Belt: A focus on carbon reduction, pollution control, greening, and growth

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 370, P. 122499 - 122499

Published: Sept. 17, 2024

Language: Английский

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The role of urban green space landscape patterns in the synergistic prevention of PM2.5 and ozone pollution: A case study in Shenyang city, China

Atmospheric Pollution Research, Journal Year: 2024, Volume and Issue: 15(11), P. 102278 - 102278

Published: Aug. 8, 2024

Language: Английский

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Forest Carbon Sinks in Chinese Provinces and Their Impact on Sustainable Development Goals

Forests, Journal Year: 2025, Volume and Issue: 16(1), P. 83 - 83

Published: Jan. 6, 2025

Dealing with the challenge of climate change has become a consensus in international community, and carbon sequestration absorption function forest ecosystems significant potential addressing change. This study, based on China’s sustainable development goals (SDGs) forestry basic data, evaluates progress SDGs stocks provinces cities from 2000 to 2022 reveals their changing trends. It uses fixed-effects models quantify impact regional SDG6, SDG11, SDG15, clarify mechanism promoting SDGs. The research findings show following: (1) SDG15 Chinese is not consistent. Most have improved SDG scores by more than 10 points, most notable East China Northeast China, while North Northwest relatively slow. (2) stock increased 93.2% 2022. increase obvious Southeast less that other regions. (3) regression results can significantly promote at 1% significance level. heterogeneity test shows improve three eastern provinces, achievement SDG11 central regions, only western These are helpful for evaluating contribution neutrality provide theoretical reference address reduce risks.

Language: Английский

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Urban Street Greening and Resident Comfort: An Integrated Approach Based on High-Precision Shadow Distribution and Facade Visual Assessment

Sustainability, Journal Year: 2025, Volume and Issue: 17(3), P. 1026 - 1026

Published: Jan. 27, 2025

With the acceleration of global climate change and urbanization, urban heat island effect has significantly impacted quality life residents. Although numerous studies have focused on macro-scale factors such as air temperature, surface albedo, green space coverage, relatively little attention been paid to micro-scale factors, shading provided by building facades tree canopy coverage. However, these play a significant role in enhancing pedestrian thermal comfort. This study focuses city community China, aiming assess comfort streets during summer. Utilizing high-resolution 3D geographic data street view images extracted from drone data, this comprehensively considers mechanisms affecting environment human requirements for greening. By proposing quantitative indicators multiple scales dimensions, thoroughly quantifies impact surrounding environment, greening, effects, buildings, road design summer streets. The results show that increasing coverage 10 m can reduce layout extending 200 regulate temperature. distribution shadows at different times affects comfort, while sky factor negatively correlates with Environments high index enhance visual reveals specific contributions environmental characteristics identifies provides scientific basis planning improvement, holding substantial practical significance.

Language: Английский

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Dynamical and chemical impacts of urban green areas on air pollution in a city environment

Urban Climate, Journal Year: 2025, Volume and Issue: 60, P. 102343 - 102343

Published: Feb. 28, 2025

Language: Английский

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The impact of urban parks on the thermal environment of built-up areas and an optimization method

PLoS ONE, Journal Year: 2025, Volume and Issue: 20(3), P. e0318633 - e0318633

Published: March 6, 2025

Rapid urbanization, while transforming people's living environments, also brings a series of urban issues such as the heat island effect. The park is an effective means to alleviate effect in summer. How make better use cold formed by parks improve outdoor thermal environment important topic. This manuscript takes Xi'an research area, using remote sensing data source and combining field surveys, explore cooling characteristics built-up area. It demonstrated that, influencing factors islands are summarized: area perimeter park, water bodies, trees all positively correlated with surrounding building density plot ratio green space. A comprehensive scoring model for each factor established, principal component analysis method used determine weight indicator on design elements, among which space has greatest influence weight. demand Xi'an's analyzed, optimization strategies suggestions improving put forward from both inside outside park.

Language: Английский

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Optimization of urban green space in Wuhan based on machine learning algorithm from the perspective of healthy city

Frontiers in Public Health, Journal Year: 2025, Volume and Issue: 13

Published: March 6, 2025

Urban green spaces play a critical role in addressing health issues, ecological challenges, and uneven resource distribution cities. This study focuses on Wuhan, where low coverage rates imbalanced space allocation pose significant challenges. Adopting healthy city development perspective, the research aims to assess impact of optimization urban health, economic performance, social structure. A multivariable model was constructed using random forest Support Vector Machine (SVM) algorithms evaluate influence key indicators space. Core were integrated from three dimensions: residents' environmental quality, community interaction. Multiple linear regression analysis employed quantify potential benefits outcomes. The findings reveal that optimizing quality indices significantly enhances development. Green improvements drive 73% increase efficiency by improving extending life expectancy. Additionally, enhancements structure are achieved at 61% 52% through strengthened cohesion improved respectively. demonstrates high stability adaptability after multiple iterations, providing robust quantitative foundation for optimization. highlights multidimensional value promoting growth, stability. results offer solid theoretical basis practical guidance planning management cities, contributing scientific decision-making sustainable

Language: Английский

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