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Simulating the Impact of Urban Surface Evapotranspiration on the Urban Heat Island Effect Using the Modified RS-PM Model: A Case Study of Xuzhou, China

机译:用改进的RS-PM模型模拟城市表面蒸散对城市热岛效果的影响 - 以徐州,中国徐州为例

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摘要

As an important energy absorption process in the Earth’s surface energy balance, evapotranspiration (ET) from vegetation and bare soil plays an important role in regulating the environmental temperatures. However, little research has been done to explore the cooling effect of ET on the urban heat island (UHI) due to the lack of appropriate remote-sensing-based estimation models for complex urban surface. Here, we apply the modified remote sensing Penman–Monteith (RS-PM) model (also known as the urban RS-PM model), which has provided a new regional ET estimation method with the better accuracy for the urban complex underlying surface. Focusing on the city of Xuzhou in China, ET and land surface temperature (LST) were inversed by using 10 Landsat 8 images during 2014–2018. The impact of ET on LST was then analyzed and quantified through statistical and spatial analyses. The results indicate that: (1) The alleviating effect of ET on the UHI was stronger during the warmest months of the year (May–October) but not during the colder months (November–March); (2) ET had the most significant alleviating effect on the UHI effect in those regions with the highest ET intensities; and (3) in regions with high ET intensities and their surrounding areas (within a radius of 150 m), variation in ET was a key factor for UHI regulation; a 10 W·m−2 increase in ET equated to 0.56 K decrease in LST. These findings provide a new perspective for the improvement of urban thermal comfort, which can be applied to urban management, planning, and natural design.
机译:作为地球表面能平衡中的重要能量吸收过程,来自植被和裸土的蒸散(ET)在调节环境温度方面发挥着重要作用。然而,由于缺乏用于复杂城市表面的适当遥感估计模型,已经完成了很少的研究以探讨ET对城市热岛(UHI)的冷却效果。在这里,我们应用修改的遥感Penman-Monteith(RS-PM)模型(也称为城市RS-PM模型),该模型提供了一种新的区域ET估计方法,具有更好的城市复杂底层表面的准确性。在2014 - 2018年期间,通过在2014 - 2018年期间使用10个Landsat 8图像,对徐州市的徐州市,ET和陆地温度(LST)进行倒置。然后通过统计和空间分析分析和量化ET对LST的影响。结果表明:(1)在今年最温暖的月份(5月至10月)的最温暖的月份(10月)而不是在较冷的月份(11月至3月),尤其对UHI的缓和效应更强; (2)ET对et It强调的地区的UHI效应最显着的缓解效果; (3)在高ET强度及其周边地区(半径为150米的区域)中,ET的变化是UHI规则的关键因素; 10 W·M-2的ET增加到0.56克LST减少。这些调查结果为改善城市热舒适性提供了一种新的视角,可以应用于城市管理,规划和自然设计。

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