Climate models for predicting precipitation and temperature trends in cities: A systematic review

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106171 - 106171

Published: Jan. 1, 2025

Language: Английский

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Full-field temperature prediction in tunnel fires using limited monitored ceiling flow temperature data with transformer-based deep learning models

Fire Safety Journal, Journal Year: 2024, Volume and Issue: 148, P. 104232 - 104232

Published: July 20, 2024

Language: Английский

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A breakthrough land-use-based carbon accounting framework for multi-scale evaluation: Coupling optimization algorithm and LCA

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106132 - 106132

Published: Jan. 1, 2025

Language: Английский

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A novel robust heating load prediction algorithm based on hybrid residual network and temporal fusion transformer model

Energy, Journal Year: 2025, Volume and Issue: 318, P. 134779 - 134779

Published: Jan. 31, 2025

Language: Английский

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Synergistic effects and optimal control strategies of air pollutant and carbon emission reduction from mobile sources

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 478, P. 143824 - 143824

Published: Oct. 9, 2024

Language: Английский

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Assessing how Wind Environments Impact Urban Building Energy: A Simulation Workflow Application and Evaluation in Shanghai

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106442 - 106442

Published: May 1, 2025

Language: Английский

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High-resolution urban temperature simulation method considering various spatiotemporal boundary impacts

Physics of Fluids, Journal Year: 2024, Volume and Issue: 36(7)

Published: July 1, 2024

Climate change has heightened the frequency and intensity of extreme heat events in cities, greatly impacting human health, environment, socio-economic activities, particularly densely populated areas. Canopy temperature (T2m) is a key indicator whether urban area occurring, with significant implications for public energy consumption, pollution levels. However, diverse topography, functional layout, activities contribute to variations distribution T2m. While computational fluid dynamics (CFD) models offer high-resolution T2m simulations, complexities spatial temporal make accurately defining boundary conditions challenging, potentially leading large simulation errors. This study addressed challenge determining precise CFD simulations by employing Weather Research Forecasting model integrate meteorological reanalysis data. Different datasets used simulate were compared, including Final Operational Global Analysis, Forecast System, European Centre Medium-Range Forecasts Reanalysis v5. When combined data, minimum mean relative error simulated was 4%, which threefold improvement accuracy compared traditional conditions. provides technical support refined zoning risk management context climate change.

Language: Английский

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Adversarial image-to-image model to obtain highly detailed wind fields from mesoscale simulations in urban environments

Building and Environment, Journal Year: 2024, Volume and Issue: unknown, P. 112123 - 112123

Published: Sept. 1, 2024

Language: Английский

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Optimization of temperature prediction algorithms and simulation of future neighborhood-scale thermal environments in Chongqing

Building and Environment, Journal Year: 2024, Volume and Issue: unknown, P. 112146 - 112146

Published: Oct. 1, 2024

Language: Английский

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Analysis and Forecasting of Temperature Based on Temporal Fusion Transformer Model: A Case Study of Urumqi

Published: Nov. 8, 2024

Language: Английский

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