Exploring the impact of urban features on the spatial variation of land surface temperature within the diurnal cycle

Sustainable Cities and Society, Journal Year: 2023, Volume and Issue: 91, P. 104432 - 104432

Published: Jan. 28, 2023

Language: Английский

---

Landscape metrics in assessing how the configuration of urban green spaces affects their cooling effect: A systematic review of empirical studies

Landscape and Urban Planning, Journal Year: 2023, Volume and Issue: 239, P. 104842 - 104842

Published: July 26, 2023

Language: Английский

---

Exploring the scale effect of urban thermal environment through XGBoost model

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 114, P. 105763 - 105763

Published: Aug. 23, 2024

Language: Английский

---

Vertical canopy structure dominates cooling and thermal comfort of urban pocket parks during hot summer days

Landscape and Urban Planning, Journal Year: 2024, Volume and Issue: 254, P. 105242 - 105242

Published: Oct. 31, 2024

Language: Английский

---

Influences of urban spatial factors on surface urban heat island effect and its spatial heterogeneity: A case study of Xi'an

Building and Environment, Journal Year: 2023, Volume and Issue: 248, P. 111072 - 111072

Published: Nov. 29, 2023

Language: Английский

---

Understanding the relationship between 2D/3D variables and land surface temperature in plain and mountainous cities: Relative importance and interaction effects

Building and Environment, Journal Year: 2023, Volume and Issue: 245, P. 110959 - 110959

Published: Oct. 20, 2023

Language: Английский

---

Regulation of urban morphology on thermal environment across global cities

Sustainable Cities and Society, Journal Year: 2023, Volume and Issue: 97, P. 104749 - 104749

Published: June 25, 2023

Language: Английский

---

Designing climate resilient energy systems in complex urban areas considering urban morphology: A technical review

Advances in Applied Energy, Journal Year: 2023, Volume and Issue: 12, P. 100155 - 100155

Published: Oct. 6, 2023

The urban energy infrastructure is facing a rising number of challenges due to climate change and rapid urbanization. In particular, the link between morphology systems has become increasingly crucial as cities continue expand more densely populated. Achieving neutrality adds another layer complexity, highlighting need address this relationship develop effective strategies for sustainable infrastructure. occurrence extreme events can also trigger cascading failures in system components, leading long-lasting blackouts. This review paper thoroughly explores incorporating into models through comprehensive literature proposes new framework enhance resilience interconnected systems. emphasizes integrated provide deeper insights design operation addresses failures, interconnectivity, compound impacts urbanization on It emerging opportunities, including requirement high-quality data, utilization big integration advanced technologies like artificial intelligence machine learning proposed integrates classification, mesoscale microscale process consider influence morphology, variability, events. Given prevalence climate-resilient strategies, study underscores significance improving accommodate future variations while recognizing interconnectivity within

Language: Английский

---

How do driving factors affect the diurnal variation of land surface temperature across different urban functional blocks? A case study of Xi'an, China

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 114, P. 105738 - 105738

Published: Aug. 10, 2024

Language: Английский

---

MSPA-based green space morphological pattern and its spatiotemporal influence on land surface temperature

Heliyon, Journal Year: 2024, Volume and Issue: 10(11), P. e31363 - e31363

Published: May 18, 2024

The frequent occurrence of extreme heat events has notably affected human's living environment, and a considerable number studies have reported that green space is an efficient measure by investigating the correlation between land surface temperature (LST). However, spatiotemporal effects on LST still remain unclear. In this study, patterns (e.g., core, islet, perforation, edge, loop, bridge, branch) were identified through morphological spatial pattern analysis (MSPA). Moreover, in three periods investigated kinds models. As indicated results: (1) geographically temporally weighted regression model exhibited optimal performance compared with other two (2) general, branch significantly contributed to cooling, islet hindered cooling. perforation loop exerted significant dual nature similar quantity negative positive coefficients, showing relatively complex impact mechanism. (3) intensity effect respective MSPA class varied across study area. core had most substantial effect, which distributed cooling located south middle corners (4) result suggested neighborhood scale China, was 960 m served as basic unit management. non-stationarity provided important insights into urban thermal environment improvement planning design.

Language: Английский

---