Modeling Urban Microclimates for High-Resolution Prediction of Land Surface Temperature Using Statistical Models and Surface Characteristics

Urban Science, Год журнала: 2025, Номер 9(2), С. 28 - 28

Опубликована: Янв. 28, 2025

Surface properties in complex urban environments can significantly impact local-level temperature gradients and distribution on several scales. Studying anomalies identifying heat pockets settings is challenging. Limited high-resolution datasets are available that do not translate into an accurate assessment of near-surface temperature. This study developed a model to predict land surface (LST) at high spatial–temporal resolution areas using Landsat data meteorological inputs from NLDAS. microclimate (UC) air for inner through build-up scheme. The innovative aspect the inclusion micro-features use characteristics, which incorporate types, vegetation, building density heights, short wave radiation, relative humidity. Statistical models, including Generalized Additive Model (GAM) spatial autoregression (SAR), were based characteristics weather parameters. was applied microclimates densely populated regions, focusing Manhattan New York City. results indicated SAR performed better (R2 = 0.85, RMSE 0.736) predicting micro-scale LST variations compared GAM 0.39, 1.203) validated accuracy prediction with R2 ranging 0.79 0.95.

Язык: Английский

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Machine Learning in Modeling Urban Heat Islands: A Data-Driven Approach for Kuala Lumpur

Earth Systems and Environment, Год журнала: 2025, Номер unknown

Опубликована: Фев. 7, 2025

Язык: Английский

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Personalized heat stress early warning system for an urban city

Environment International, Год журнала: 2025, Номер unknown, С. 109507 - 109507

Опубликована: Май 1, 2025

Язык: Английский

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Analysis of Urban Heat Island Effect in Wuhan Urban Area Based on Prediction of Urban Underlying Surface Coverage Type Change

Advances in Meteorology, Год журнала: 2024, Номер 2024, С. 1 - 19

Опубликована: Апрель 22, 2024

The rapid development of urbanization makes the phenomenon urban heat islands even more serious. Predicting impact land cover change on island has become one research hotspots. Taking Wuhan, China, as an example, this study simulated type in 2020 through Cellular Automata-Markov-Chain (CA-Markov) model. was and analyzed conjunction with Weather Research & Forecasting Model (WRF), simulation results wind velocity temperature were confirmed using weather station observation data. Based this, Wuhan 2030 predicted. found to be well-fit by CA-Markov use data, average inaccuracy about 2.5°C for stations. Wind speed had a poor fitting effect; error roughly 2 m/s. built-up area center high both before after prediction, water low area, peak happened at night. According forecast results, there will 2030, greater intensity than 2020.

Язык: Английский

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Simulation of urban surface temperature and surface heat balance in the Tokyo metropolitan area

Sustainable Cities and Society, Год журнала: 2024, Номер 112, С. 105596 - 105596

Опубликована: Июнь 12, 2024

Язык: Английский

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Unravelling key environmental factors influencing urban park visits: Thermal comfort and air quality

Urban Climate, Год журнала: 2024, Номер 57, С. 102096 - 102096

Опубликована: Авг. 23, 2024

Язык: Английский

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Projected Heat Waves in Ecuador under Climate Change: Insights from HadGEM-RegCM4 Coupled Model

Earth, Год журнала: 2024, Номер 5(1), С. 90 - 109

Опубликована: Март 14, 2024

This study examines heat wave projections across Ecuador’s Coastal, Highlands, and Amazon regions for 1975–2004 2070–2099 under Representative Concentration Pathways (RCP) scenarios 2.6, 4.5, 8.5. Employing dynamic downscaling, we identify significant increases in heatwave intensity maximum air temperatures (Tmax), particularly RCP 8.5, with the Coastal region facing most severe impacts. A moderate positive correlation between Tmax climate indices such as Pacific Decadal Oscillation (PDO) Oceanic Niño Index (ONI) suggests regional climatic influences on trends. These findings highlight critical need integrated adaptation strategies Ecuador, focusing mitigating risks to health, agriculture, ecosystems. Proposed measures include urban forestry initiatives promotion of cool surfaces, alongside enhancing public awareness access cooling resources. research contributes understanding change impacts Latin America, underscoring urgency adopting targeted resilience against island effects centers.

Язык: Английский

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Heat Stress Risk at an Intra-Urban Level: A Case Study of Delhi, India

Building and Environment, Год журнала: 2024, Номер 264, С. 111897 - 111897

Опубликована: Июль 31, 2024

Язык: Английский

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Extension and trend of the London urban heat island under Lamb weather types

Sustainable Cities and Society, Год журнала: 2024, Номер 114, С. 105743 - 105743

Опубликована: Авг. 16, 2024

Язык: Английский

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Hybrid Xception-LSTM Model for Remote Sensing: Advanced Urban Heat Island and Land Use Analysis

Remote Sensing in Earth Systems Sciences, Год журнала: 2024, Номер unknown

Опубликована: Дек. 21, 2024

Язык: Английский

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