Construct the Cooling Capacity Corridor Network from the Perspective of Supply and Demand Coordination, Mitigate Urban Heat Island Effect DOI
Shengyu Guan, Xinyu Zhang, Ting Zhang

et al.

Published: Jan. 1, 2024

Language: Английский

A framework for large-scale analyses of ecosystem health and its driving factors in complex underlying basins DOI Creative Commons

Chunhua He,

Zezhong Zhang, Changsen Zhao

et al.

Ecological Indicators, Journal Year: 2025, Volume and Issue: 173, P. 113424 - 113424

Published: April 1, 2025

Language: Английский

Citations

0

Investigating the Quantitative Impact of the Vegetation Indices on the Urban Thermal Comfort Based on Machine Learning: A Case Study of the Qinhuai River Basin, China DOI Creative Commons
Jianqing Zhao, Chunguang Hu, Zhuoqi Li

et al.

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106357 - 106357

Published: April 1, 2025

Language: Английский

Citations

0

Incorporating cool networks to optimize urban thermal environment patterns: A case study of the Central Plains Urban Agglomeration, China DOI
Juan Wei, Jinghu Pan

Urban Climate, Journal Year: 2025, Volume and Issue: 61, P. 102406 - 102406

Published: April 10, 2025

Language: Английский

Citations

0

The ideal characteristics of landscape pattern and morphological spatial pattern for seasonal cool island regulation in urban park green space DOI
Lei Wang, Yazhou Xu,

Yalin Zhai

et al.

Urban forestry & urban greening, Journal Year: 2025, Volume and Issue: unknown, P. 128813 - 128813

Published: April 1, 2025

Language: Английский

Citations

0

Considering the supply and demand of urban heat island mitigation: A study on the construction of “Source-flow-sink” cooling corridor network of blue and green landscape DOI
Shengyu Guan, Xinyu Zhang, Ting Zhang

et al.

Ecological Indicators, Journal Year: 2025, Volume and Issue: 174, P. 113448 - 113448

Published: April 14, 2025

Language: Английский

Citations

0

Spatiotemporal analysis of microclimatic and environmental interactions with visualcompensation for thermalcomfort: Case studies in Hangzhou's urban waterfronts DOI
Rong Xia, Zhixing Li, Xiaowen Gao

et al.

Urban Climate, Journal Year: 2025, Volume and Issue: 61, P. 102428 - 102428

Published: April 16, 2025

Language: Английский

Citations

0

Spatial-Temporal Variation of Surface Temperature and Cold Island Network Construction in the Yangtze River Delta Urban Agglomeration: Perspectives from Current and Future Scenarios DOI
Jiayang Gao,

QU Li-ping,

Wei Wu

et al.

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106396 - 106396

Published: April 1, 2025

Language: Английский

Citations

0

Exploring the Potential Relationship between Cooling Green Space and Built-up area: Analysis of Community Green Space Characteristics Based on GWPCA DOI Creative Commons
Shengyu Guan, Haihui Hu

Building and Environment, Journal Year: 2024, Volume and Issue: 267, P. 112190 - 112190

Published: Oct. 12, 2024

Language: Английский

Citations

2

Spatial Characteristics and Temporal Trend of Urban Heat Island Effect over Major Cities in India Using Long-Term Space-Based MODIS Land Surface Temperature Observations (2000–2023) DOI Creative Commons
Suren Nayak, Arya Vinod, A. K. Prasad

et al.

Applied Sciences, Journal Year: 2023, Volume and Issue: 13(24), P. 13323 - 13323

Published: Dec. 17, 2023

The alteration of the Earth’s surface due to urbanization and formation urban heat islands is one most evident widely discussed anthropogenic impacts on microclimate. elevated land temperature in perimeter compared with surrounding non-urban area known as island (SUHI) effect. India has experienced swift growth over past few decades, this trend expected persist years come. literature published SUHI focuses only a specific cities, there limited understanding its geospatial variation across broader region long-term trend. Here, we present first studies exploring diurnal (daytime, nighttime), seasonal, annual characteristics 20 largest centers neighboring countries. study highlights statistically significant (95% confidence interval) rise nighttime temperatures major cities based linear fit 23 (2000–2023) MODIS satellite observations. was found be more conspicuous, positive, consistent when daytime for April–May–June representing pre-monsoon onset monsoon months top 10 ranged from 0.92 2.33 °C; December–January–February, winter season, it 1.38 2.63 °C. In general, total change ten showed warming ranging 2.04 3.7 highest observed during May–June–July (3.7 3.01 °C) Ahmedabad Delhi, that have undergone rapid last two three decades. identified strongly positive intensity nighttime, weakly negative moderately daytime, cities. Jaipur (India), Lahore (Pakistan), Dhaka (Bangladesh), Colombo (Sri Lanka) 2.17, 2.33, 0.32, 0.21 °C, respectively, April–May–June, 2.63, 1.68, 0.94, 0.33 December–January–February (2000–2023). It apparent geographical location (inland/coastal) city high influence patterns. current research intended help planners policymakers better understand (day night/seasonal basis) developing strategies mitigate effects.

Language: Английский

Citations

4

Factors Influencing Spatiotemporal Changes in the Urban Blue-Green Space Cooling Effect in Beijing–Tianjin–Hebei Based on Multi-Source Remote Sensing Data DOI Creative Commons

Haiying Gong,

Cao Yongqiang,

Jiaqi Yao

et al.

Land, Journal Year: 2024, Volume and Issue: 13(9), P. 1423 - 1423

Published: Sept. 4, 2024

Owing to rapid urbanization, the Beijing–Tianjin–Hebei region in China faces considerable urban heat island (UHI) effects, which can be mitigated by blue-green space construction. In this study, we used multi-source remote sensing products and InVEST model’s cooling module analyze spatiotemporal changes effects from 1990 2020. The wavelet coherence theory was explore these changes, as well environmental factors that affect cooling. key findings indicate effect is closely related similar trends significant temporal differences indices were observed central areas, fringe, city center. addition, climatic such temperature precipitation substantially influenced cooling, with an average of 0.88. Seasonal variations notable, exhibiting best across all time–frequency scales (averaging 0.55). highlight critical role spaces for mitigating UHI provides scientific insights planning management.

Language: Английский

Citations

1