Meteorological Effects of Ventilation Corridor in Central Urban Areas: A Case Study of Wuhan

Sustainable Cities and Society, Год журнала: 2024, Номер 114, С. 105752 - 105752

Опубликована: Авг. 17, 2024

Язык: Английский

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Local climate effects of urban wind corridors in Beijing

Urban Climate, Год журнала: 2022, Номер 43, С. 101181 - 101181

Опубликована: Май 1, 2022

Based on a summer observational experiment and the meteorological data from 2009 to 2018, this paper investigated local climate effects of representative 1 Level One 2 Two wind corridors (LOC LTCs, respectively) in central urban area (CUA) Beijing by introducing speed ratio (WsR) heat island (UHI) intensity indices. In addition, impacts ventilation 8 spatial landscape parameters were analyzed. The results indicated that LOC LTCs have significant benefit certain UHI mitigation varying with season, day night weather,which able accelerate winds when speeds exceed 0.57 m/s 0.75 m/s, respectively. most important influencing capability frontal index roughness length. multiyear average WsRs 57% 31% higher than CUA, reduction did not occur along whole corridor or throughout day. maximum seasonal mean during daytime nighttime 0.89 °C °C, mainly reduced 0.30 °C.

Язык: Английский

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Performance-based urban ventilation corridor for actual achievement of environmental benefits

Building and Environment, Год журнала: 2025, Номер unknown, С. 112536 - 112536

Опубликована: Янв. 1, 2025

Язык: Английский

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Evaluating the Impact of Road Layout Patterns on Pedestrian-Level Ventilation Using Computational Fluid Dynamics (CFD)

Atmosphere, Год журнала: 2025, Номер 16(2), С. 123 - 123

Опубликована: Янв. 23, 2025

The development of new energy vehicles and road dust removal technologies presents opportunities for constructing urban ventilation systems based on patterns. However, the impact system layouts pedestrian-level wind environments remains insufficiently understood. This study utilizes general-purpose CFD software Phoenics to analyze effects orientation, width, density, intersection configurations block ventilation. standard k-ε model three-dimensional steady-state RANS equations are employed calculate mean air age as an indicator efficiency. Grid convergence analysis validation against previous tunnel measurements were conducted. Results show that influence overall efficiency by affecting airflow volume, direction, velocity. Optimal occurs when orientation aligns with prevailing at 0° or exceeds 70°. Recommended widths trunk, secondary, local roads 46 m, 30 18 respectively. Lower densities enhance ventilation, while higher trunk secondary beneficial. Intersection distribution, windward segments aiding lateral side roads. Finally, design strategies proposed, offering potential leveraging networks construct efficient systems.

Язык: Английский

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Leveraging machine learning to explore nonlinear associations between urban heat vulnerability and morbidity risk

Urban Climate, Год журнала: 2025, Номер 59, С. 102320 - 102320

Опубликована: Янв. 30, 2025

Язык: Английский

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Identification and cooling effect analysis of urban ventilation corridors in coastal hilly cities: A case study of Shenzhen

Urban Climate, Год журнала: 2025, Номер 61, С. 102393 - 102393

Опубликована: Март 25, 2025

Язык: Английский

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A theoretical framework for identifying ventilation corridors in megacity building clusters using coupled least-cost path and A* algorithms

Building and Environment, Год журнала: 2025, Номер 276, С. 112890 - 112890

Опубликована: Март 29, 2025

Язык: Английский

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Combined effects of urban morphology on land surface temperature and PM2.5 concentration across fine-scale urban blocks in Hangzhou, China

Building and Environment, Год журнала: 2025, Номер unknown, С. 112979 - 112979

Опубликована: Апрель 1, 2025

Язык: Английский

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Dynamic multi-scale effect of urban spatial form on PM _2.5 concentrations in different climate zones of China

International Journal of Sustainable Development & World Ecology, Год журнала: 2025, Номер unknown, С. 1 - 20

Опубликована: Май 7, 2025

Язык: Английский

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Inferring the heterogeneous effect of urban land use on building height with causal machine learning

GIScience & Remote Sensing, Год журнала: 2024, Номер 61(1)

Опубликована: Фев. 25, 2024

Machine learning has become an important approach for land use change modeling. However, conventional machine algorithms are limited in their ability to capture causal relationships change, which knowledge planners and decision makers. In this study, we showcase the usefulness of understand heterogeneous effect changing on building height through a case study Shenzhen, China. Also, by leveraging power learning, identify key conditions under greater would occur after interventions. The results suggest that increase 3.68 floors 1.61 average if industrial is converted residential commercial, respectively, 2.35 commercial changed land. heterogeneity also captured different scenarios. factor analysis based tree algorithm reveals use. Overall, can contribute literature providing effective counterfactual modeling with enhanced explainability.

Язык: Английский

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