A Novel Airflow Zonal Model for Urban Microclimate Modelling at the Block Scale DOI
Flavia Barone, Lucie Merlier,

Mathias Bouquerel

и другие.

Опубликована: Янв. 1, 2024

Язык: Английский

Is shading a better way to cool down? Evaluation and comparison of the cooling capacity of blue-green spaces and urban shade DOI Creative Commons
Yu Zou, Jiao Chen, Hua Zong

и другие.

Ecological Indicators, Год журнала: 2024, Номер 167, С. 112688 - 112688

Опубликована: Окт. 1, 2024

Язык: Английский

Процитировано

3

A novel airflow zonal model for urban microclimate modelling at the block scale DOI
Flavia Barone, Lucie Merlier,

Mathias Bouquerel

и другие.

Journal of Building Performance Simulation, Год журнала: 2025, Номер unknown, С. 1 - 26

Опубликована: Янв. 6, 2025

This contribution introduces an airflow zonal model (AZM) for block-scale urban environments, designed to assess key climatic variables involved in heat stress wind-driven configurations. The relies on prior steady CFD calculations using the RANS realizable k−ϵ turbulence and linear interpolation predict average mass flow rates, wind speeds, convective transfer coefficients, pressure coefficients. Dynamic energy balances are solved each airzone. validity of setting is established by comparing simulation results with experimental data isolated cube. A case study a building block illustrates AZM's ability replicate patterns consistent CFD, emphasizing impact geometry thermal properties spatial temporal distribution air temperature, velocity, mean radiant temperature. AZM offers computationally efficient alternative enabling simulations over seasonal timescales.

Язык: Английский

Процитировано

0

Urban Street Greening and Resident Comfort: An Integrated Approach Based on High-Precision Shadow Distribution and Facade Visual Assessment DOI Open Access
Yue Ni, Liqun Lin, Huiqiong Xia

и другие.

Sustainability, Год журнала: 2025, Номер 17(3), С. 1026 - 1026

Опубликована: Янв. 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.

Язык: Английский

Процитировано

0

Mapping high-resolution spatio-temporal patterns of pedestrian thermal comfort at different scales using street view imagery and deep learning DOI

Jie Qin,

Meng Tian,

Xuesong Xu

и другие.

Sustainable Cities and Society, Год журнала: 2025, Номер unknown, С. 106209 - 106209

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0

A methodology to bridge urban shade guidelines with climate metrics DOI Creative Commons
Simon Martinez, Marika Vellei, Manon Rendu

и другие.

Sustainable Cities and Society, Год журнала: 2025, Номер unknown, С. 106322 - 106322

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0

Heat Exposure Risk Assessment of Street Canyons Around Urban Rail Transit Station Areas: A Case Study of Shanghai DOI
Yu Zou, Jiao Chen, Yang Yu

и другие.

International Journal of Disaster Risk Reduction, Год журнала: 2025, Номер unknown, С. 105522 - 105522

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0

Addressing Neighborhood Effect Averaging Problem: Distinguishing Mobility-Based and Residence-Based Heat Exposure DOI

Heng Wu,

Guangyu Zhang, Yong Liu

и другие.

Building and Environment, Год журнала: 2025, Номер unknown, С. 113139 - 113139

Опубликована: Май 1, 2025

Язык: Английский

Процитировано

0

Advancing urban shade mapping for planning: integrating shade demand and greening potential DOI
Bin Chen, Fanhua Kong, Haiwei Yin

и другие.

Urban forestry & urban greening, Год журнала: 2025, Номер unknown, С. 128888 - 128888

Опубликована: Май 1, 2025

Язык: Английский

Процитировано

0

WebMRT: An Online Tool to Predict Summertime Mean Radiant Temperature Using Machine Learning DOI
Saud AlKhaled, Ariane Middel,

Pouya Shaeri

и другие.

Sustainable Cities and Society, Год журнала: 2024, Номер unknown, С. 105861 - 105861

Опубликована: Сен. 1, 2024

Язык: Английский

Процитировано

1

Shade watch: Mapping citywide shade dynamics through ray tracing and LiDAR data in Hong Kong's complex 3-D built environment DOI
Shengbiao Wu, Бин Чэн, Yimeng Song

и другие.

Sustainable Cities and Society, Год журнала: 2024, Номер 118, С. 106011 - 106011

Опубликована: Ноя. 23, 2024

Язык: Английский

Процитировано

1