当前位置: X-MOL 学术Remote Sens. Environ. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Impact of heat storage on remote-sensing based quantification of anthropogenic heat in urban environments
Remote Sensing of Environment ( IF 13.5 ) Pub Date : 2021-05-28 , DOI: 10.1016/j.rse.2021.112520
Zhou Yu , Leiqiu Hu , Ting Sun , John Albertson , Qi Li

Anthropogenic heat (AH) significantly impacts urban climates. Although combining the surface energy balance (SEB) with remote sensing data (RS-SEB) is promising for AH quantification, it has been shown to yield paradoxical low AH values in urban centers. Some speculation on the causes for the underestimation has appeared in the literature; however, none has been verified or thoroughly evaluated, largely hindering the further improvement of spatial representation of AH estimated through the RS-SEB approach. Here by casting the difference in the SEB between the observed reference state and a hypothetical scenario without AH, we developed a thermal stability analysis framework to identify the primary causes. Using AH estimations from six representative US cities based on Local Climate Zone (LCZ), we find that the reduced efficiency of the pathway from AH to sensible heat flux near high-rise buildings results in greater heat storage, which is a primary contributor to the underestimation. This study highlights the importance of heat storage in AH quantification using remote sensing data and provides evidence for potentially correcting the bias in AH with improved heat storage modeling.



中文翻译:

蓄热对城市环境中人为热量遥感量化的影响

人为热量 (AH) 显着影响城市气候。尽管将表面能量平衡 (SEB) 与遥感数据 (RS-SEB) 相结合对 AH 量化很有希望,但它已被证明会在城市中心产生自相矛盾的低 AH 值。文献中出现了一些关于低估原因的推测;但是,尚未对它们进行验证或彻底评估,这在很大程度上阻碍了通过RS-SEB方法估计的AH的空间表示的进一步改进。在这里,通过在观察到的参考状态和没有 AH 的假设场景之间投射 SEB 的差异,我们开发了一个热稳定性分析框架来确定主要原因。使用基于当地气候区 (LCZ) 的六个具有代表性的美国城市的 AH 估计值,我们发现从 AH 到高层建筑附近显热通量的路径效率降低会导致更大的热量储存,这是低估的主要因素。本研究利用遥感数据强调了蓄热在 AH 量化中的重要性,并为通过改进的蓄热模型纠正 AH 中的偏差提供了证据。

更新日期:2021-05-30
down
wechat
bug