The role of urban trees in reducing land surface temperatures in European cities

Nature Communications, Journal Year: 2021, Volume and Issue: 12(1)

Published: Nov. 23, 2021

Abstract Urban trees influence temperatures in cities. However, their effectiveness at mitigating urban heat different climatic contexts and comparison to treeless green spaces has not yet been sufficiently explored. Here, we use high-resolution satellite land surface (LSTs) land-cover data from 293 European cities infer the potential of reduce LSTs. We show that exhibit lower than fabric across most summer during hot extremes. Compared continuous fabric, LSTs observed for are on average 0-4 K Southern regions 8-12 Central Europe. Treeless overall less effective reducing LSTs, cooling effect is approximately 2-4 times induced by trees. By revealing continental-scale patterns LST our results highlight importance considering further investigating climate-dependent mitigation measures

Language: Английский

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Heat mitigation benefits of urban green and blue infrastructures: A systematic review of modeling techniques, validation and scenario simulation in ENVI-met V4

Building and Environment, Journal Year: 2021, Volume and Issue: 200, P. 107939 - 107939

Published: May 8, 2021

Language: Английский

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Increased heat risk in wet climate induced by urban humid heat

Nature, Journal Year: 2023, Volume and Issue: 617(7962), P. 738 - 742

Published: April 26, 2023

Language: Английский

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Vegetation cover and plant-trait effects on outdoor thermal comfort in a tropical city

Building and Environment, Journal Year: 2021, Volume and Issue: 195, P. 107733 - 107733

Published: Feb. 22, 2021

An increase in urban vegetation is an often proposed mitigation strategy to reduce heat and improve outdoor thermal comfort (OTC). Vegetation can alter microclimate through changes air temperature, mean radiant humidity, wind speed. In this study, we model how street tree ground cover their structural, optical, interception, physiological traits control the diurnal cycle of OTC different densities a tropical city (Singapore). For purpose, perform variance based sensitivity analysis ecohydrological UT&C. Model performance evaluated comparison with local measurements assessed Universal Thermal Climate Index (UTCI). We find pronounced daily effects on UTCI. Tree fraction more efficient decreasing UTCI during daytime, while higher vegetated provides cooling night. Generally, increasing fractions do not deter OTC, except certain some periods day. average reduction compared change (0.9 – 2.9 °C vs. 0.7 1.1 midday, 10 month average). The humidity related plant transpiration prevents further However, choice enhancing decrease hot periods. These results inform planners selection amount achieve feasible improvements cities.

Language: Английский

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Efficient cooling of cities at global scale using urban green space to mitigate urban heat island effects in different climatic regions

Urban forestry & urban greening, Journal Year: 2022, Volume and Issue: 74, P. 127635 - 127635

Published: June 11, 2022

Language: Английский

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Spatially-optimized urban greening for reduction of population exposure to land surface temperature extremes

Nature Communications, Journal Year: 2023, Volume and Issue: 14(1)

Published: May 22, 2023

The population experiencing high temperatures in cities is rising due to anthropogenic climate change, settlement expansion, and growth. Yet, efficient tools evaluate potential intervention strategies reduce exposure Land Surface Temperature (LST) extremes are still lacking. Here, we implement a spatial regression model based on remote sensing data that able assess the LST urban environments across 200 surface properties like vegetation cover distance water bodies. We define as number of days per year where exceeds given threshold multiplied by total exposed, person ⋅ day. Our findings reveal plays considerable role decreasing extremes. show targeting high-exposure areas reduces needed for same decrease compared uniform treatment.

Language: Английский

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A high-resolution monitoring approach of canopy urban heat island using a random forest model and multi-platform observations

Atmospheric measurement techniques, Journal Year: 2022, Volume and Issue: 15(3), P. 735 - 756

Published: Feb. 9, 2022

Abstract. Due to rapid urbanization and intense human activities, the urban heat island (UHI) effect has become a more concerning climatic environmental issue. A high-spatial-resolution canopy UHI monitoring method would help better understand thermal environment. Taking city of Nanjing in China as an example, we propose for evaluating intensity (CUHII) at high resolution by using remote sensing data machine learning with random forest (RF) model. Firstly, observed parameters, e.g., surface albedo, land use/land cover, impervious surface, anthropogenic flux (AHF), around densely distributed meteorological stations were extracted from satellite images. These parameters used independent variables construct RF model predicting air temperature. The correlation coefficient between predicted temperature test set was 0.73, average root-mean-square error 0.72 ∘C. Then, spatial distribution CUHII evaluated 30 m based on output We found that wind speed negatively correlated CUHII, direction strongly offset direction. reduced distance center, due decreasing proportion built-up areas AHF same framework developed real-time assessment temporal (30 1 h) provides scientific support studying changes causes well pattern environments.

Language: Английский

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The potential for agrivoltaics to enhance solar farm cooling

Applied Energy, Journal Year: 2022, Volume and Issue: 332, P. 120478 - 120478

Published: Dec. 22, 2022

Language: Английский

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Enhanced observations from an optimized soil-canopy-photosynthesis and energy flux model revealed evapotranspiration-shading cooling dynamics of urban vegetation during extreme heat

Remote Sensing of Environment, Journal Year: 2024, Volume and Issue: 305, P. 114098 - 114098

Published: March 11, 2024

Language: Английский

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Satellite‐based evidence highlights a considerable increase of urban tree cooling benefits from 2000 to 2015

Global Change Biology, Journal Year: 2023, Volume and Issue: 29(11), P. 3085 - 3097

Published: March 6, 2023

Tree planting is a prevalent strategy to mitigate urban heat. cooling efficiency (TCE), defined as the temperature reduction for 1% tree cover increase, plays an important role in climate it regulates capacity of trees alter surface energy and water budget. However, spatial variation more importantly, temporal heterogeneity TCE global cities are not fully explored. Here, we used Landsat-based land (LST) compare TCEs at reference air level across 806 explore their potential drivers with boosted regression (BRT) machine learning model. From results, found that spatially regulated by only leaf area index (LAI) but variables anthropogenic factors especially city albedo, without specific variable dominating others. such difference attenuated decrease cover, most pronounced midlatitude cities. During period 2000-2015, than 90% analyzed showed increasing trend TCE, which likely explained combined result increase LAI, intensified solar radiation due decreased aerosol content, vapor pressure deficit (VPD) albedo. Concurrently, significant afforestation occurred many showing city-scale mean 5.3 ± 3.8% from 2000 2015. Over growing season, increases were estimated on average yield midday 1.5 1.3°C tree-covered areas. These results offering new insights into use adaptation warming planners may leverage them provide benefits if primarily planted this purpose.

Language: Английский

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