Spatial and Temporal Variability of Near-Surface CO2 and Influencing Factors in Urban Communities DOI Creative Commons

Yueyue Wu,

Zheng Yi, Jialei Liu

et al.

Land, Journal Year: 2025, Volume and Issue: 14(4), P. 888 - 888

Published: April 17, 2025

CO2 is the primary contributor to global warming, and also most significant anthropogenic emission gas in cities. This study investigates near-surface spatiotemporal variability patterns at community scale address critical gap urban high-resolution measurement promote carbon neutrality. Combining fixed mobile monitoring across five representative communities (1-km2 coverage) with two-hour temporal precision 20 m spatial resolution, results revealed average concentrations of 440–480 ppm, exhibiting bimodal diurnal cycles highlighting divergent behaviors. Three peaked during 17:00–19:00 LT, while two 08:00–10:00 LT. Spatial correlation analysis identified dominant patterns: road-adjacent “externally dominated” hotspots “internally zones elevated intra-community levels. Spearman analysis, Random Forest, Geographically Temporally Weighted Regression models quantified morphology element contributions, demonstrating that building exerted time-varying impacts communities. Meanwhile, external traffic contributed 18–39% concentration variability, internal energy consumption drove localized peaks. The findings indicated apart from sources, micro-scale design elements regulate distribution. approach provides actionable insights for optimizing layouts infrastructure mitigate emissions, advancing neutrality targeted planning.

Language: Английский

Spatial and Temporal Variability of Near-Surface CO2 and Influencing Factors in Urban Communities DOI Creative Commons

Yueyue Wu,

Zheng Yi, Jialei Liu

et al.

Land, Journal Year: 2025, Volume and Issue: 14(4), P. 888 - 888

Published: April 17, 2025

CO2 is the primary contributor to global warming, and also most significant anthropogenic emission gas in cities. This study investigates near-surface spatiotemporal variability patterns at community scale address critical gap urban high-resolution measurement promote carbon neutrality. Combining fixed mobile monitoring across five representative communities (1-km2 coverage) with two-hour temporal precision 20 m spatial resolution, results revealed average concentrations of 440–480 ppm, exhibiting bimodal diurnal cycles highlighting divergent behaviors. Three peaked during 17:00–19:00 LT, while two 08:00–10:00 LT. Spatial correlation analysis identified dominant patterns: road-adjacent “externally dominated” hotspots “internally zones elevated intra-community levels. Spearman analysis, Random Forest, Geographically Temporally Weighted Regression models quantified morphology element contributions, demonstrating that building exerted time-varying impacts communities. Meanwhile, external traffic contributed 18–39% concentration variability, internal energy consumption drove localized peaks. The findings indicated apart from sources, micro-scale design elements regulate distribution. approach provides actionable insights for optimizing layouts infrastructure mitigate emissions, advancing neutrality targeted planning.

Language: Английский

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