高生理活性植被在湿热城市中反而加剧体感高温,需设限使用。
Physiologically Active Vegetation Reverses Its Cooling Effect in Humid Urban Climates
- 通过机器学习解析植被与气候交互作用,识别热指数变化规律。
- 当植被指数超0.5、叶面积超0.2时,降温转为增温,湿度上升更快。
- 为不同气候区制定精准绿化策略提供量化依据,适合城市规划者参考。
为缓解城市热浪而推行绿化措施的效果不均衡,因为同种植被虽能降低地表温度,却也可能加剧空气体感炎热。已有研究指出湿热已成为城市主要威胁,但植被结构与功能如何调控降温与湿度积累之间的权衡仍不清楚,导致减缓政策与设计缺乏指导。本文量化分析了138个印度城市的植被结构与功能对热指数(HI)的影响,覆盖热带草原、半干旱草原和湿润亚热带气候,以及密集城区与半城市环带。利用极端感知的1公里级热指数重建,结合可解释机器学习框架(集成SHAP与ALE),揭示植被-气候相互作用机制。当归一化植被指数(EVI)≥0.4且叶面积指数(LAI)≥0.05时,降温效应增强;但在联合高值区域(EVI≥0.5,LAI≥0.2,fPAR≥0.5)开始转向增温,尤其在潮湿密集城区,当光合有效辐射份额(fPAR)≥0.25时更早发生。在这些环境中,高度活跃的植被使近地层湿度上升速度超过热量移除,逆转其降温作用并加剧体感热应激。研究确立了植被降温的气候边界,并提供分气候区绿化的定量阈值,助力构建公平且抗热的城市。
原文摘要 · Abstract (English)
Efforts to green cities for cooling are succeeding unevenly because the same vegetation that cools surfaces can also intensify how hot the air feels. Previous studies have identified humid heat as a growing urban hazard, yet how physiologically active vegetation governs this trade-off between cooling and moisture accumulation remains poorly understood, leaving mitigation policy and design largely unguided. Here we quantify how vegetation structure and function influence the Heat Index (HI), a combined measure of temperature and humidity in 138 Indian cities spanning tropical savanna, semi-arid steppe, and humid subtropical climates, and across dense urban cores and semi-urban rings. Using an extreme-aware, one kilometre reconstruction of HI and an interpretable machine-learning framework that integrates SHapley Additive Explanations (SHAP) and Accumulated Local Effects (ALE), we isolate vegetation-climate interactions. Cooling generally strengthens for EVI >= 0.4 and LAI >= 0.05, but joint-high regimes begin to reverse toward warming when EVI >= 0.5, LAI >= 0.2, and fPAR >= 0.5,with an earlier onset for fPAR >= 0.25 in humid, dense cores. In such environments, highly physiologically active vegetation elevates near-surface humidity faster than it removes heat, reversing its cooling effect and amplifying perceived heat stress. These findings establish the climatic limits of vegetation-driven cooling and provide quantitative thresholds for climate-specific greening strategies that promote equitable and heat-resilient cities.
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