Approximation of Spatial and Temporal Variability of the Urban Heat Island in Moscow Using Machine Learning DOI

Mikhail Varentsov,

Mikhail Krinitskiy, Victor Stepanenko

et al.

Moscow University Physics Bulletin, Journal Year: 2024, Volume and Issue: 79(S2), P. S784 - S797

Published: Dec. 1, 2024

Language: Английский

Examining water bodies' cooling effect in urban parks with buffer analysis and random forest regression DOI
Yu Qiao, Hao Sun,

Jialing Qi

et al.

Urban Climate, Journal Year: 2025, Volume and Issue: 59, P. 102301 - 102301

Published: Jan. 30, 2025

Language: Английский

Citations

3
Enhancing the city-level thermal environment through the strategic utilization of urban green spaces employing geospatial techniques DOI
Aman Gupta, Bhaskar De

International Journal of Biometeorology, Journal Year: 2024, Volume and Issue: 68(10), P. 2083 - 2101

Published: July 19, 2024

Language: Английский

Citations

13
Progress on green infrastructure for urban cooling: Evaluating techniques, design strategies, and benefits DOI Creative Commons
Amjad Azmeer, Furqan Tahir, Sami G. Al‐Ghamdi

et al.

Urban Climate, Journal Year: 2024, Volume and Issue: 56, P. 102077 - 102077

Published: July 1, 2024

Green infrastructure (GI) can act as an effective cooling strategy to mitigate the urban heat island effect. The complex interdependencies in built environment make it challenging quantify GI accurately. Present literature on often lacks focus techniques and overlooks co-benefits. This review addresses this gap by consolidating recent research standard design approaches maximize cooling. temperature results from are segregated type, technique local climate zones, scale. ENVI-met Weather Research Forecasting model (WRF) most common numerical modeling methods utilized for microscale mesoscale. Results indicate that highest air reduction is achieved arid climates, followed temperate, tropical, continental respectively. study suggests integrate into successfully, researchers should consider influencing factors like spatial distribution, microclimate, plant selection. Climate change intensifies severity of overheating; therefore, integrating cities must be done holistically co-benefits related trade-offs.

Language: Английский

Citations

13
Design and Site-Related Factors Impacting the Cooling Performance of Urban Parks in Different Climate Zones: A Systematic Review DOI Creative Commons
Maryam Norouzi, Hing-Wah Chau, Elmira Jamei

et al.

Land, Journal Year: 2024, Volume and Issue: 13(12), P. 2175 - 2175

Published: Dec. 13, 2024

As cities expand rapidly, the combined effects of urbanization, global warming, and intensification Urban Heat Island (UHI) phenomenon have become more challenging for urban environments. In response, Green Infrastructure (UGI) has gained attention as a practical effective tool mitigating UHI improving climate change. Among various UGIs, parks been subject numerous studies due to their proven ability reduce air surface temperatures, improve local microclimates, enhance overall livability. This systematic review synthesizes existing body research identify key factors that influence cooling performance parks. A total 131 peer-reviewed between 2014 2024 were analyzed, focusing on both design-related site-related play pivotal roles in park’s effectiveness. Design-related include park size, shape, vegetation density composition, presence water bodies, impervious surfaces while encompass background conditions, proximity natural configuration surrounding The findings reveal tree coverage, bodies are most influential enhancing performance. For factors, wind speed direction emerged critical components maximizing benefits. Research also showed can affect by influencing airflow patterns shading. Understanding these dynamics is crucial worldwide they strive design address specific environmental climatic challenges. this offer guidance landscape architects planners, enabling them deliver enhanced benefits, especially when face rising temperatures an increasing number heatwaves.

Language: Английский

Citations

7
Machine Learning for Simulation of Urban Heat Island Dynamics Based on Large-Scale Meteorological Conditions DOI Open Access

Mikhail Varentsov,

Mikhail Krinitskiy, Victor Stepanenko

et al.

Climate, Journal Year: 2023, Volume and Issue: 11(10), P. 200 - 200

Published: Oct. 2, 2023

This study considers the problem of approximating temporal dynamics urban-rural temperature difference (ΔT) in Moscow megacity using machine learning (ML) models and predictors characterizing large-scale weather conditions. We compare several ML models, including random forests, gradient boosting, support vectors, multi-layer perceptrons. These trained on a 21-year (2001–2021) dataset, successfully capture diurnal, synoptic-scale, seasonal variations observed ΔT based derived from rural observations or ERA5 reanalysis. Evaluation scores are further improved when both sources simultaneously involving additional features their (tendencies moving averages). Boosting vectors demonstrate best quality, with RMSE 0.7 K R2 > 0.8 average over 21 years. For three selected summer winter months, forced only by reanalysis outperform comprehensive hydrodynamic mesoscale model COSMO, supplied an urban canopy scheme detailed city-descriptive parameters same However, for longer period (1977–2023), not able to fully reproduce trend increase, confirming that this is largely (by 60–70%) driven growth. Feature importance assessment indicates atmospheric boundary layer height as most important control factor highlights relevance tendencies predictors.

Language: Английский

Citations

14
Detecting the air-cooling effect of urban green spaces in a hot climate town relative to land surface temperature on Landsat-9 thermal imagery DOI

C. Munyati

Advances in Space Research, Journal Year: 2024, Volume and Issue: 74(10), P. 4598 - 4615

Published: July 14, 2024

Language: Английский

Citations

5
Exploring intra-urban thermal stress vulnerability within 15-minute city concept: Example of heat waves 2021 in Moscow DOI
Natalia Shartova,

E. A. Mironova,

Mikhail Varentsov

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 114, P. 105729 - 105729

Published: Aug. 4, 2024

Language: Английский

Citations

5
A cross-scale indicator framework for the study of annual stability of land surface temperature in different land uses DOI
Shuyang Zhang, Chao Yuan, Taihan Chen

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: unknown, P. 105936 - 105936

Published: Oct. 1, 2024

Language: Английский

Citations

5
Assessing the Cooling Potential of Green and Blue Infrastructure from Twelve US Cities with contrasting climate conditions DOI
Alba Márquez Torres, Sudeshna Kumar, Celina Aznarez

et al.

Urban forestry & urban greening, Journal Year: 2025, Volume and Issue: unknown, P. 128660 - 128660

Published: Jan. 1, 2025

Language: Английский

Citations

0
Urban green infrastructure index: Assessing supply of regulating and cultural ecosystem services at a megacity scale DOI Creative Commons
Yury Dvornikov,

Valentina Grigorieva,

Viacheslav Vasenev

et al.

Ecological Indicators, Journal Year: 2025, Volume and Issue: 170, P. 113014 - 113014

Published: Jan. 1, 2025

Language: Английский

Citations

0