Urban forestry & urban greening, Journal Year: 2024, Volume and Issue: unknown, P. 128665 - 128665
Published: Dec. 1, 2024
Language: Английский
Urban forestry & urban greening, Journal Year: 2024, Volume and Issue: unknown, P. 128665 - 128665
Published: Dec. 1, 2024
Language: Английский
Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 108, P. 105507 - 105507
Published: May 6, 2024
Language: Английский
Citations
24Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: 119, P. 106102 - 106102
Published: Jan. 5, 2025
Language: Английский
Citations
3Building and Environment, Journal Year: 2024, Volume and Issue: 262, P. 111838 - 111838
Published: July 14, 2024
Language: Английский
Citations
10Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 114, P. 105733 - 105733
Published: Aug. 14, 2024
Language: Английский
Citations
8Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 374, P. 123975 - 123975
Published: Jan. 16, 2025
Language: Английский
Citations
1Land, 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
4Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: unknown, P. 106014 - 106014
Published: Nov. 1, 2024
Language: Английский
Citations
4Journal 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
0Building and Environment, Journal Year: 2025, Volume and Issue: unknown, P. 112726 - 112726
Published: Feb. 1, 2025
Language: Английский
Citations
0Land, 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