Analyzing Inequities in Vegetation Cooling Services along the Urban-Rural Gradient using the LAI-Integrated InVEST Urban Cooling Model DOI

Hailian Lan,

Yanting Zhang,

Yinan Yang

et al.

Urban forestry & urban greening, Journal Year: 2024, Volume and Issue: unknown, P. 128665 - 128665

Published: Dec. 1, 2024

Language: Английский

Day and night: Impact of 2D/3D urban features on land surface temperature and their spatiotemporal non-stationary relationships in urban building spaces DOI
Zhongli Lin, Hanqiu Xu,

Luyao Han

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 108, P. 105507 - 105507

Published: May 6, 2024

Language: Английский

Citations

24

Towards multi-scale and context-specific heat health risk assessment - A systematic review DOI
Jiaxing Ye, Feng Yang

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: 119, P. 106102 - 106102

Published: Jan. 5, 2025

Language: Английский

Citations

3

Which street is hotter? Street morphology may hold clues -thermal environment mapping based on street view imagery DOI
Yanjun Hu,

Fengtao Qian,

Hai Yan

et al.

Building and Environment, Journal Year: 2024, Volume and Issue: 262, P. 111838 - 111838

Published: July 14, 2024

Language: Английский

Citations

10

Microclimate vision: Multimodal prediction of climatic parameters using street-level and satellite imagery DOI Creative Commons
Kunihiko Fujiwara, Maxim Khomiakov, Winston Yap

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 114, P. 105733 - 105733

Published: Aug. 14, 2024

Language: Английский

Citations

8

Blue-Green space seasonal influence on land surface temperatures across different urban functional zones: Integrating Random Forest and geographically weighted regression DOI
Yue Zhang,

Jingtian Ge,

Xueyue Bai

et al.

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 374, P. 123975 - 123975

Published: Jan. 16, 2025

Language: Английский

Citations

1

Nature-Based Solutions Scenario Planning for Climate Change Adaptation in Arid and Semi-Arid Regions DOI Creative Commons
Rıfat Olgun, Chingwen Cheng, Paul Coseo

et al.

Land, Journal Year: 2024, Volume and Issue: 13(9), P. 1464 - 1464

Published: Sept. 10, 2024

Extreme climatic conditions cause a decrease in ecosystem services, the disruption of ecological balance, and damage to human populations, especially areas with socially vulnerable groups. Nature-based solutions applying blue-green infrastructure (BGI) against these negative impacts climate change have an important role planning sustainable cities. This study aims identify priority develop scenarios strategies for spatial understand tradeoffs approaches maximize benefits services provided by BGI cities arid semi-arid climates, using Phoenix, Arizona, swiftly urbanizing city Sonoran Desert, as area. Using GIS-based multi-criteria decision-making techniques Green Infrastructure Spatial Planning model integrated city’s existing water structures, this is conducted at US census scale. The hotspots are mapped from combined evaluation expert stakeholder-driven weighting. In where Phoenix identified, center area high density impervious surfaces identified highest It revealed that social vulnerability environmental risks (flooding, heat) positive correlation stormwater management urban heat island criteria should be considered first planning.

Language: Английский

Citations

4

Comprehensively Assessing Seasonal Variations in the Impact of Urban Greenspace Morphology on Urban Heat Island Effects: A Multidimensional Analysis DOI

Liangguo Lin,

Yaolong Zhao, Juchao Zhao

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: unknown, P. 106014 - 106014

Published: Nov. 1, 2024

Language: Английский

Citations

4

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

Mathias Bouquerel

et al.

Journal of Building Performance Simulation, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 26

Published: Jan. 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.

Language: Английский

Citations

0

Unveiling the Microclimate: A Comprehensive Review of Tools, Techniques, and Future Directions for Sustainable Cities DOI
Trisha Roy, Anirban Middey, Reddithota J. Krupadam

et al.

Building and Environment, Journal Year: 2025, Volume and Issue: unknown, P. 112726 - 112726

Published: Feb. 1, 2025

Language: Английский

Citations

0

Urban Heat Island Effect in Different Sizes from a 3D Perspective: A Case Study in the Beijing–Tianjin–Hebei Region DOI Creative Commons
Borui Li, Yimin Zhang,

Sitong Zhao

et al.

Land, Journal Year: 2025, Volume and Issue: 14(3), P. 463 - 463

Published: Feb. 23, 2025

In the Beijing–Tianjin–Hebei urban agglomeration—one of China’s three largest city clusters, GDP reached CNY 950 billion with a population approximately 110 million in 2021. While megacity expansion has slowed, rapid growth small and medium-sized cities is expected to increase their vulnerability heat island (UHI) effects. This necessitates urgent, size-differentiated studies UHI inform sustainable planning. study examines agglomeration using Landsat 8 data explore between different-sized analyze driving mechanisms intensity attributed buildings. The results indicate following: (1) Beijing displays smallest temperature change (1.39 °C) lower heating effect (484.44 km2 compared Shijiazhuang (919.11 °C); (2) logarithmic relationship (R2 = 0.4261) exists building volume intensity, specificity megacities significantly influences regional analysis effect; (3) total energy consumption power 10 within region 326.23 × 1012 KJ/h, which equivalent 11.14 109 kg/h standard coal.

Language: Английский

Citations

0