Estimating multi-temporal anthropogenic heat flux based on the top-down method and temporal downscaling methods in Beijing, China
Estimating multi-temporal anthropogenic heat flux based on the top-down method and temporal downscaling methods in Beijing, China
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基于自上而下法和时间降尺度法的北京多期人为热通量估算
DOI：
10.1016/j.resconrec.2021.105682
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发表时间：
2021
期刊：
影响因子：
--
通讯作者：
Li Qi
中科院分区：
文献类型：
--
作者：
Liu Xue;Yue Wenze;Zhou Yuyu;Liu Yong;Xiong Changsheng;Li Qi
人为热是城市地表能系统的重要组成部分，是理解城市热环境的关键。自顶向下方法被广泛应用于利用统计能耗数据和代用物估算人为热通量（AHF）。然而，有几个限制。首先，当前代理的粗分辨率不能捕获异构AHF。此外，大多数自上而下AHF研究的时间分辨率普遍较低（年）。本研究通过开发一个新的框架，估计了北京三个行业的ahf及其月、时模式。我们首先使用了一个新的建筑体量代理来获得建筑的AHF。然后，我们分别利用道路密度和人口密度估算车辆和人体代谢的AHF。最后，利用时间降尺度法推导出月ahf和小时ahf（工作日和非工作日）。结果表明：市中心历史建筑的AHF相对较低；高AHF区域主要分布在2 - 4环之间和5环以外的工业区。各月AHF强度各不相同，1月份各区AHF最大，达到68.1 W/m2。1月工作日的AHF在7:00 ~ 20:00 h显著高于1月非工作日的AHF。本研究估计的AHF通过自顶向下方法和时间降尺度方法可以更好地捕获多时段AHF。改进后的AHF数据有助于决策者在可持续发展目标下设计各种改善城市热环境的策略。
Anthropogenic heat is a dominant component in the urban surface energy system and a key to understanding urban thermal environments. The top-down method was widely used to estimate anthropogenic heat flux (AHF) using statistical energy consumption data and proxies. However, there are several limitations. First, the coarse resolutions of current proxies cannot capture the heterogeneous AHF. Besides, the temporal resolution is generally low (annual) in most AHF studies using the top-down method. This study estimated AHFs from three sectors and their monthly and hourly patterns in Beijing, China by developing a new framework. We first used a new proxy of building volume to obtain the AHF from buildings. Then, we estimated the AHF from vehicles and human metabolism using road density and population density, respectively. Finally, the monthly and hourly (workday and non-workday) AHFs were derived using temporal downscaling methods. The results show that the historic buildings in the urban center have a relatively low AHF. Areas with high AHF mainly distribute in the region between the 2nd and 4th ring-road and industrial zones outside the 5th ring-road. The magnitude of AHF varies among months, with the maximum monthly AHF at the district level reaching 68.1 W/m2in January. AHF in January workdays is significantly higher than that in January non-workdays during 7:00 h to 20:00 h. The estimated AHF in this study can better capture multi-temporal AHF through the top-down method and temporal downscaling methods. The improved AHF data help policymakers design various strategies to improve urban thermal environments under sustainable development goals.