Exploring the regional cooling efficiency of urban residential vegetation using scenario simulation DOI

Jiaxin Sun,

Li Feng,

Hairong Feng

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 955, P. 176843 - 176843

Published: Oct. 10, 2024

Language: Английский

Study on the Impact of Urban Morphologies on Urban Canopy Heat Islands Based on Relocated Meteorological Stations DOI Creative Commons
Shi Tao, Yuanjian Yang, Ping Qi

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(9), P. 1500 - 1500

Published: April 24, 2024

This study addresses a crucial gap in understanding the impact of urban morphologies on canopy heat islands (CUHI) effect. The selection reference stations lacks unified standard, and their surface air temperature (SAT) sequences are also inevitably influenced by urbanization. However, synchronous observational data from relocated meteorological could provide high-quality sample for studying CUHI. Utilizing remote sensing techniques, findings this paper revealed that observation environment after relocation exhibited remarkable representativeness, with accurately reflecting local climatic background. differences synchronized characterize CUHI intensity (CUHII). Among various factors, land use parameters landscape played particularly significant roles. Furthermore, fitting performance random forest (RF) model both training testing was significantly superior to linear support vector regression (SVR) model. Additionally, influence circulation not be overlooked. mechanisms which affect CUHII under different backgrounds deserve further investigation.

Language: Английский

Citations

1

Predicting Land Use Dynamics, Surface Temperature and Urban Thermal Field Variance Index in Mild Cold Climate Urban Area of Pakistan DOI Creative Commons

Mudassir Khan,

Muhammad Qasim, Adnan Ahmad

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(19), P. e38787 - e38787

Published: Oct. 1, 2024

Language: Английский

Citations

1

How does vegetation influence surface temperature across various road types and urban morphology types? DOI

S. H. Wei,

Zhichao He, Wanming Zhai

et al.

Building and Environment, Journal Year: 2024, Volume and Issue: unknown, P. 112511 - 112511

Published: Dec. 1, 2024

Language: Английский

Citations

1

Generating Spatiotemporal Seamless Data of Clear-Sky Land Surface Temperature Using Synthetic Aperture Radar, Digital Elevation Mode, and Machine Learning over Vegetation Areas DOI Creative Commons
Jingbo Li, Hao Yang, Weinan Chen

et al.

Journal of Remote Sensing, Journal Year: 2024, Volume and Issue: 4

Published: Jan. 1, 2024

The continuous retrieval of clear-sky land surface temperature (LST) holds paramount importance in monitoring vegetation and assessing water stress conditions. Nonetheless, the extensive cloud cover results a widespread lack LST data, posing challenges accurately forecasting regions characterized by diverse types complex terrains. Therefore, this paper proposes synthetic aperture radar (SAR)- digital elevation model (DEM)-integrated reconstruction (SDX-LST) to generate realistic high-spatial-resolution (30 m) data. To assess practicality robustness SDX-LST model, selects study areas Loess Plateau (LP), Qinghai-Tibet Plateau, Northeast China Plain, Nanling Mountains, North Plain China, Desert Rock, Nevada America, spanning wide range longitude latitude having obvious differences topography, landforms, vegetation. analysis different spatial location distributions, types, multidate time distributions throughout year indicate that achieves excellent performance high stability (with mean absolute error lower than 2K). predictions demonstrate commendable level consistency with ERA5-hourly product situ We conclude integration SAR DEM within enables precise for various intricate quantitatively analyzes effects on introduces novel insights exploring SAR-based LST.

Language: Английский

Citations

0

Construction of an urban cold island network under the perspective of local climate zones DOI Creative Commons
Jun Yang,

Xiaoyu Cai,

Yuqing Zhang

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: May 21, 2024

Abstract Urban blue–green spaces(BGS) exhibit a remarkable cold island (CI) effect, and research on heat mitigation measures based CIs has attracted considerable attention. However, few studies have been conducted mitigating urban overheating by connecting isolated CI patches to form networks. Therefore, this study aimed explore the framework specific processes for building an network in Hangzhou, China. The construction consisted of “source identification-resistance surface construction-corridor construction”. Based morphological spatial pattern analysis, local climate zone (LCZ) theory, connectivity index, circuit sources cooling corridors were identified classified, pinch barrier points determined. results indicated that Hangzhou comprised 69 sources, 134 corridors, 36 points, 89 points. these results, we recommended LCZs are dominated water (LCZG) dense trees (LCZA) be protected areas bare rock or pavement improved. This methodology can provide new inspiration future planning BGS sustainable cooling.

Language: Английский

Citations

0

The Effects of Various Built Environments and Land Cover Types on Land Surface Temperature (Lst) in Semi-Arid Metropolitan Areas (Case Study: Mashhad Metropolis, Iran) DOI
Masoud Zamanipoor,

Mohammadrahim Rahnama

Published: Jan. 1, 2024

Download This Paper Open PDF in Browser Add to My Library Share: Permalink Using these links will ensure access this page indefinitely Copy URL DOI

Language: Английский

Citations

0

Predicting Land Use Dynamics, Surface Temperature and Urban Thermal Field Variance Index In Mild Cold Climate Urban Area of Pakistan DOI

Mudassir Khan,

Muhammad Qasim, Adnan Ahmad

et al.

Published: Jan. 1, 2024

Rapid urbanization attributed to population growth is affecting built environment thermal and landscape dynamics. Using Landsat satellite datasets, this study investigated the complex interplay between urban Land Cover (LC) modification, fluctuation in Surface Temperature (LST) severity of Urban Heat Island (UHI) from 1990 2020 Peshawar city, Pakistan. Thermal bands were used calculate LST UHI using Field Variance Index (UTFVI). Furthermore, through Cellular Automata (CA), Logistic Regression (LR), Artificial Neural Network (ANN), future predictions on characteristics associated with land use changes made. The results showed that areas expanded by ~25% 2020, while ~10% decrease occurred vegetation. city will expand ~45% ~56% 2035 2050, respectively. Notably, also demonstrated hot spots found warmest strongest (34.02 oC), followed barren (32.20 further predicted an increase (~55% ~82%) UTFVI (~62% ~83%) These findings provide useful insights for policy makers planners mitigate heat stress create a sustainable development effective policies greening.

Language: Английский

Citations

0

Mapping the Influence of Olympic Games’ Urban Planning on the Land Surface Temperatures: An Estimation Using Landsat Series and Google Earth Engine DOI Creative Commons
Joan-Cristian Padró, Valerio della Sala, Marc Castelló-Bueno

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(18), P. 3405 - 3405

Published: Sept. 13, 2024

The Olympic Games are a sporting event and catalyst for urban development in their host city. In this study, we utilized remote sensing GIS techniques to examine the impact of infrastructure on surface temperature areas. Using Landsat Series Collection 2 Tier 1 Level data cloud computing provided by Google Earth Engine (GEE), study examines effects various forms facility planning different historical moments location typologies, as follows: monocentric, polycentric, peripheric clustered ring. GEE code applies that occurred from Paris 2024 Montreal 1976. However, paper focuses specifically representative cases 2024, Tokyo 2020, Rio 2016, Beijing 2008, Sydney 2000, Barcelona 1992, Seoul 1988, is not only concerned with obtaining absolute land temperatures (LST), but rather relative influence mega-event infrastructures mitigating or increasing heat. As such, locally normalized (NLST) was purpose. some cities (Paris, Tokyo, Beijing, Barcelona), it has been determined resulted green spaces, creating “green spots” contribute lower-than-average temperatures. should be noted there significant variation within intensely built-up areas, such villages surrounding areas stadium, which can become “hotspots.” Therefore, important acknowledge typologies have varying impacts city heat islands, polycentric ring displaying effect. This research contributes method updated future adapted other mega-events utilizes widely available source specific context.

Language: Английский

Citations

0

Exploring the regional cooling efficiency of urban residential vegetation using scenario simulation DOI

Jiaxin Sun,

Li Feng,

Hairong Feng

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 955, P. 176843 - 176843

Published: Oct. 10, 2024

Language: Английский

Citations

0