Impact of urban green space morphology and vegetation composition on seasonal land surface temperature: a case study of Beijing's urban core

Urban Climate, Journal Year: 2025, Volume and Issue: 60, P. 102367 - 102367

Published: March 1, 2025

Language: Английский

---

Comprehensive Evidence That Detecting Urban Signals in Large‐Scale Warming Is Highly Uncertain

Geophysical Research Letters, Journal Year: 2025, Volume and Issue: 52(5)

Published: March 7, 2025

Abstract Increasing urbanization causes urban heat island effects that might introduce significant biases into global warming estimates. Previous studies of signals and asymmetries remain a subject debate. Here we comprehensively assess urban‐induced warmings by investigating meteorological temperatures on 2,370 stations in China during 1980–2022. There are noticeable annual contributions ranging from 0.016 to 0.251°C decade −1 0.3%–72.4%, primarily due spatiotemporal heterogeneities the criteria defining sites. Rapid tends exacerbate diurnal seasonal asymmetries, resulting shrinking temperature differentials associated with urbanized areas chronosequences. This study underscores specific definition matters for magnitude complex nonlinear imprint asymmetries.

Language: Английский

---

An adaptive synchronous extraction (ASE) method for estimating intensity and footprint of surface urban heat islands: A case study of 254 North American cities

Remote Sensing of Environment, Journal Year: 2023, Volume and Issue: 297, P. 113777 - 113777

Published: Aug. 25, 2023

Language: Английский

---

Spatialized importance of key factors affecting park cooling intensity based on the park scale

Sustainable Cities and Society, Journal Year: 2023, Volume and Issue: 99, P. 104952 - 104952

Published: Sept. 21, 2023

Language: Английский

---

Classifying seasonal patterns of clear-sky surface urban heat island worldwide and investigating impacts from surface energy variations

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 106, P. 105367 - 105367

Published: March 22, 2024

Language: Английский

---

Synergies or trade-offs between surface urban heat island and hot extreme: Distinct responses in urban environments

Sustainable Cities and Society, Journal Year: 2023, Volume and Issue: 101, P. 105093 - 105093

Published: Nov. 29, 2023

Language: Английский

---

Impacts of local climate zone mapping quality on urban near-surface air temperature simulation in WRF-UCM

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 101, P. 105171 - 105171

Published: Jan. 1, 2024

Language: Английский

---

Comparative study and effects of urban green scape on the land surface temperature of a large metropolis and green city

Heliyon, Journal Year: 2024, Volume and Issue: 10(3), P. e24912 - e24912

Published: Jan. 23, 2024

Previous studies have provided valuable insights into the impact of green space (GS) on land surface temperature (LST). However, there is a need for in-depth comparative research changing landscape patterns in cities and their effects urban thermal environment. This study investigates spatial arrangement GS influence impervious surfaces LST areas, examining cooling warming landscapes Beijing Islamabad. The aims to assess using moving window 1 km2 analyze overall effect Using Gaofen (GF–2) Landsat–8 satellite data, we examined biophysical properties core areas. results indicate significant difference mean 5.44 °C 3.31 between Islamabad, respectively. barren Islamabad experience higher 3.39 compared Beijing, which accounts 1.39 °C. In configuration metrics show no LST, while edge density (ED) exhibits slightly negative trend. contrast, city shape index (LSI), patch (PD), number patches (NP) LST. (0.1–0.5 ha) more pronounced, that 15–20 ha shows (TD) 5.01 was observed from 3.3 Considering Islamabad's lush scape this suggests may an increase future due urbanization. study's findings assist policy-makers designing sustainable layouts effectively address planning considerations.

Language: Английский

---

Grading surface urban heat island and investigating factor weight based on interpretable deep learning model across global cities

Environment International, Journal Year: 2023, Volume and Issue: 180, P. 108196 - 108196

Published: Sept. 9, 2023

Significant urbanization resulted in increasing surface urban heat island (SUHI) that caused negative impacts on ecological environment, and residential comfort. Accurately monitoring the spatiotemporal variations understanding controls of SUHI were essential to propose effective mitigation measurements. However, grades across global cities remained unknown, which cloud greatly support for mitigations. Additionally, quantitative evaluating factor weights different indicators worldwide further investigations. Therefore, this paper proposed grading based agglomerative hierarchical clustering, quantified an interoperable machine learning named TabNet. There three major findings. (1) Global grouped into five grades, including SUCI (surface cool island), insignificant, low-value, medium-value, high-value indicating significant differences among grades. showed climate-based variations, wherein arid climate was dominated by grade at daytime but nighttime. (2) Vegetation difference important SUHII accounting 27%. Daytime frequency controlled vegetation difference, temperature, evaporation nighttime light, 78%. The factors albedo 45%. (3) Related contributed differently various weight △EVI gradually increased with while it maximum duration decreased low-value affected background climate, medium-value strongly impacted anthropogenic flux. diurnal contrast coupling effects wave discussed. This aimed provide information proposal.

Language: Английский

---

Land Surface Temperature Changes in Different Urbanization Increments in China since 2000

Land, Journal Year: 2024, Volume and Issue: 13(4), P. 417 - 417

Published: March 25, 2024

In the rapidly urbanizing world, as one of distinct anthropogenic alterations global climate change, warming has attracted rising concerns due to its negative effects on human well-being and biodiversity. However, existing studies mostly focused difference in temperature elevation among urbanized areas non-urbanized areas, i.e., rural or suburban areas. The allometric urban at intra-urban scales was overlooked. This research aimed expand our understanding urbanization–temperature relationships by applying a concept “previous-new” dichotomy To quantify land surface (LST) dynamics 340 cities China, we analyzed LST different use types through trend analysis absolute change calculation models. heat island (UHI) effect two spatial units, newly expanded area (“new UA” hereinafter) during 2000–2015 previously (“previous 2000, were compared discussed. Our findings reveal that growth China coincided with an increase approximately 0.68 °C across entire administrative boundary, higher increases observed regions between Yellow River Yangtze lower other Moreover, new UA exhibited significantly greater intensity (HUII) previous UA. corresponded speed scale growth, experiencing rates percentages exhibiting more pronounced increases. study reveals impact underlying settlements large scale.

Language: Английский

---