Surface energy balance fluxes in a suburban of Beijing: energy partitioning variability

Surface energy balance fluxes in a suburban of Beijing: energy partitioning variability
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DOI:
10.5194/acp-2021-1022
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发表时间:
2022-01
影响因子:
6.3
通讯作者:
J. Dou;S. Grimmond;S. Miao;Bei Huang;H. Lei;Mingshui Liao
J. Dou;S. Grimmond;S. Miao;Bei Huang;H. Lei;Mingshui Liao
中科院分区:
地球科学1区
文献类型:
--
作者:
J. Dou;S. Grimmond;S. Miao;Bei Huang;H. Lei;Mingshui Liao

文献摘要

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抽象的。对密云郊区建筑物和农业混合体进行 16 个月的辐射热通量和湍流热通量测量,可以评估这些通量的变化作用。白天湍流潜热通量 (QE) 在夏季最大,在冬季较小,与净全波辐射 (Q*) 一致。然而,白天感热通量 (QH) 在春季最大,但在夏季最小,而不是像郊区通常观察到的冬季。与之前的郊区研究相比,结果在能源分配方面具有更大的季节性变化。白天能量分配介于:QH /Q* 0.15–0.57(平均夏季 = 0.16,冬季 = 0.46); QE / Q* 为 0.06–0.56(夏季平均 = 0.52,冬季 = 0.10),QH ⁄ QE 为 0.26–7.40(夏季平均 = 0.32;冬季 = 4.60)。与郊区的文献相比,这些值属于最低和最高值。结果表明,降水、灌溉、作物/植被生长活动和土地利用/覆盖都在能量分配中发挥着关键作用。这些结果将有助于增强我们对城市地表-大气能量交换的理解,对于改进和评估支持综合城市服务所需的城市冠层模型至关重要,其中包括减轻城市气候变化不利影响的城市规划。
Abstract. Measurements of radiative and turbulent heat fluxes for 16 months in suburban Miyun with a mix of buildings and agriculture allows the changing role of these fluxes to be assessed. Daytime turbulent latent heat fluxes (QE) are largest in summer and smaller in winter, consistent with the net all wave radiation (Q*). Whereas, the daytime sensible heat flux (QH) is greatest in spring but smallest in summer, rather than winter as commonly observed in suburban areas. The results have larger seasonal variability in energy partitioning compared to previous suburban studies. Daytime energy partitioning is between: 0.15–0.57 for QH /Q* (mean summer = 0.16, winter = 0.46); 0.06–0.56 for QE / Q* (mean summer = 0.52, winter = 0.10), and 0.26–7.40 for QH ⁄ QE (mean summer = 0.32; winter = 4.60). Compared to the literature for suburban aras, these are amongst the lowest and highest values. Results indicate that precipitation, irrigation, crop/vegetation growth activity and land use/cover all play critical roles in the energy partitioning. These results will help to enhance our understanding of surface–atmosphere energy exchanges over cities, and are critical to improving and evaluating urban canopy models needed to support integrated urban services, that include urban planning to mitigate the adverse effects of urban climate change.