Ecological monitoring of urban thermal field variance index and determining the surface urban heat island effects in Lahore, Pakistan

Environmental Monitoring and Assessment, Journal Year: 2023, Volume and Issue: 195(10)

Published: Sept. 14, 2023

Language: Английский

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Enhancing the city-level thermal environment through the strategic utilization of urban green spaces employing geospatial techniques

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

Published: July 19, 2024

Language: Английский

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Investigating the effects of local climate zones on land surface temperature using spectral indices via linear regression model: a seasonal study of Sapanca Lake

Environmental Monitoring and Assessment, Journal Year: 2025, Volume and Issue: 197(3)

Published: Feb. 7, 2025

Language: Английский

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Urban heat islands and energy consumption patterns: Evaluating renewable energy strategies for a sustainable future

Energy Reports, Journal Year: 2025, Volume and Issue: 13, P. 3760 - 3772

Published: March 27, 2025

Language: Английский

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Modelling urban heat island effects: a global analysis of 216 cities using machine learning techniques

Computational Urban Science, Journal Year: 2025, Volume and Issue: 5(1)

Published: April 8, 2025

Abstract Urban areas globally have become home to over half of the world's population, leading intensification urban heat island (UHI) effect, where cities experience higher temperatures than their rural counterparts. The current study develops a new model predicting UHI intensity for 216 across all climate zones both Global North and South using machine learning techniques, focusing on years 2019 2023. Utilising novel dataset, integrating climate, economic, land use data from worldwide, model, trained Support Vector Regression (SVR), demonstrates mean absolute error (MAE) 0.86 °C. Results reveal that wind speed significantly mitigates intensity, while in temperate climates exhibit more pronounced effects compared those located within tropical climbs. Additionally, results show crucial role coastal proximity reducing find no significant differences between South. Findings offer important empirical actionable insights alongside robust tool planners policymakers measure, map, monitor contributing development liveable sustainable environments.

Language: Английский

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Desert urban ecology: urban forest, climate, and ecosystem services

Environment Development and Sustainability, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 30, 2024

Language: Английский

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Spatiotemporal assessment of the nexus between urban sprawl and land surface temperature as microclimatic effect: implications for urban planning

Environmental Science and Pollution Research, Journal Year: 2024, Volume and Issue: 31(20), P. 29048 - 29070

Published: April 3, 2024

Language: 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, Journal Year: 2024, Volume and Issue: 2024, P. 1 - 19

Published: April 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.

Language: Английский

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Land use land cover and land surface temperature changes and their relationship with human modification in Islamabad Capital Territory, Pakistan

Brazilian Journal of Biology, Journal Year: 2024, Volume and Issue: 84

Published: Jan. 1, 2024

Abstract Human activities are altering the existing patterns of Land Use Cover (LULC) and Surface Temperature (LST) on a global scale. However, long-term trends LULC LST largely unknown in many remote mountain areas such as Karakorum. . The objective our study therefore was to evaluate historical changes land use cover an alpine environment located Islamabad Capital Territory, Pakistan. We used Landsat satellite pictures (namely 5 TM 8 OLI) from years 1988, 2002, 2016 applied Maximum Likelihood Classification (MLC) approach categorize classes. Temperatures were calculated using thermal bands (6, 10, 11) series data. correlation between Modification Index (HMI) well evaluated by utilizing data Google Earth Engine (GEE). Over period, urbanized area increased 9.94%, whilst agricultural bare soil decreased 3.81% 3.94%, respectively. findings revealed significant change with decrease 1.99% vegetation. highest class exhibited progressive trend, increase 12.27% 48.48%. Based analysis, built-up shows temperature, followed barren, agricultural, vegetation categories. Similarly, HMI for different categories indicates that higher have levels human alteration compared lower categories, strong (R-value = 0.61) LST. can be utilized promote sustainable urban management biodiversity conservation efforts. work also has potential it protect delicate ecosystems interference formulate strategies regulations growth, including aspects utilization zoning, reduction heat stress, infrastructure.

Language: Английский

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Predicting Energy Consumption of an Educational Building Using Group Method of Data Handling Based on Weather Data

International Journal of Thermofluids, Journal Year: 2025, Volume and Issue: unknown, P. 101067 - 101067

Published: Jan. 1, 2025

Language: Английский

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