Using high-frequency data to quantify how urban nature affects air temperature and energy consumption.

In Shenzhen, China, urban green and blue spaces in the built-up area shift daily air temperature by −1.27 °C to +0.29 °C, with cooling dominating across the year.

• Why it matters: Cities consume most energy and emit most greenhouse gases, so quantifying how urban nature changes temperature and electricity demand can guide mitigation.
• What they did: Using spatially explicit vegetation, water, and building data with extensive daily air-temperature and electricity observations, the study estimated temperature-dependent cooling and energy-demand thresholds.
• The result: Urban nature reduced cooling energy demand above a 16 to 18 °C threshold; in 2021 it saved 1.5 billion kWh and avoided almost one million tons of CO 2 emissions.

AI summary of the abstract · may contain errors · not medical advice · read the paper.