Application and future of local climate zone system in urban climate assessment and planning—Bibliometrics and meta-analysis

Cities, Journal Year: 2024, Volume and Issue: 150, P. 104999 - 104999

Published: April 14, 2024

Language: Английский

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Identifying the Effects of Vegetation on Urban Surface Temperatures Based on Urban–Rural Local Climate Zones in a Subtropical Metropolis

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(19), P. 4743 - 4743

Published: Sept. 28, 2023

Many studies have observed the crucial role of vegetated local climate zone (LCZ) types in mitigating surface urban heat island (SUHI) effect. However, research analyzing spatial variations land temperature (LST) a metropolis based on an urban–rural LCZ scheme and exploring cooling effects different vegetation is still lacking. Here, our study focuses Guangzhou–Foshan aims to elucidate LST subtropical cities regulating effect changes. We used normalized difference index (NDVI) data from space-borne MODIS products for years 2000, 2009, 2019, as well maps, gradient data, use cover (LULC) maps. Urban–rural, seasonal, daytime, nighttime, diurnal comparative analyses were conducted using logarithmic regression, Pearson partial correlation, comparison analysis. The results showed that values built generally higher than those types, showing positive correlation with building density height. decreased logarithmically across gradients, rapid decrease initially near-gradient area, followed by flattening trend farther-gradient suburban rural areas. Regarding NDVI metrics significant negative during daytime but nighttime. was evident, average amplitude 1.92 °C over three investigated years. In conclusion, changes are closely associated values, types. ability exhibited seasonal variations, special emphasis dense evergreen broadleaf forests. Our findings offer valuable insights can guide ecological construction management comprehensively assessing impact temperatures.

Language: Английский

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Analysis of urban wetland park cooling effects and their potential influence factors: Evidence from 477 urban wetland parks in China

Ecological Indicators, Journal Year: 2023, Volume and Issue: 156, P. 111103 - 111103

Published: Oct. 19, 2023

Urban wetland parks can lower surrounding temperatures efficiently and play a critical role in mitigating extreme urban high-temperature weather. Understanding the park cooling effects their potential influence factors is necessary for management plan of parks. This study first crawled 477 from Baidu Map classified into river-based lake-based based on distance to rivers. Then, this investigated during warm (April–September) cold (January–March, October–December) seasons largest (LCD), intensity (LCI), random forest (RF) partial least squares (PLS) regression models, Spearman's correlation coefficient. The results show that: (1) Both exhibit stronger effect season. Lake-based have higher LCI; however, LCD. (2) RF model outperforms PLS modeling relationship between LCI factors, with 5.68% increase average RMSE 20.64% R2.(3) water cover fraction inside most influential factor. There strong similarity relative importance indicates new should be located priority regions more impervious layers, example, high-density building areas. Besides, limit proportion layers less than 13% ensure bodies at 70% obtain effect. Our reinforces understanding has implications better mitigate heat problem.

Language: Английский

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Comparative Analysis of the Surface Urban Heat Island (SUHI) Effect Based on the Local Climate Zone (LCZ) Classification Scheme for Two Japanese Cities, Hiroshima, and Sapporo

Climate, Journal Year: 2023, Volume and Issue: 11(7), P. 142 - 142

Published: July 10, 2023

The Local Climate Zone (LCZ) classification system is used in this study to analyze the impacts of urban morphology on a surface heat island (SUHI). Our involved comparative analysis SUHI effects two Japanese cities, Sapporo and Hiroshima, between 2000 2022. We geographical-information-system (GIS) mapping techniques measure temporal LST changes using Landsat 7 8 images during summer’s hottest month (August) classified area into LCZ classes World Urban Database Access Portal Tools (WUDAPT) method with Google Earth Pro. thermal field variance index (UTFVI) examine each LCZ’s comfort level, spots (HS) are identified. research findings indicate that mean only experienced 0.5 °C increase over time, while increased by 1.8 Hiroshima City In 2000, open low-rise (LCZ 6) areas were hottest, but 2022, heavy industry 10) became hottest. compact mid-rise 2) heavy-industry took lead. found 10, 8, E, 3 both Dfa Cfa climate classifications had unfavorable UTFVI conditions. This was attributed factors such as high concentration heat-absorbing materials, impervious surfaces, limited green spaces. majority HS highest temperatures situated near industrial zones large forms cities. offers valuable insights potential long-term various phenomenon.

Language: Английский

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Urban core greening and industrial decentralization lead to contrasting trends in surface urban heat islands in a metropolitan area in China

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 374, P. 124045 - 124045

Published: Jan. 8, 2025

Language: Английский

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