广东工业大学学报 ›› 2024, Vol. 41 ›› Issue (05): 72-79.doi: 10.12052/gdutxb.230058

• 环境科学与工程 • 上一篇    下一篇

一个考虑人为热的日最大热岛强度诊断方程的适用性检验

陈漪淇1, 谭啸1, 何昊1, 李楠2, 陈光1, 蔡云楠1   

  1. 1. 广东工业大学 建筑与城市规划学院, 广东 广州 510090;
    2. 广东省建筑设计研究院有限公司 绿色建筑设计研究中心, 广东 广州 510000
  • 收稿日期:2023-04-07 出版日期:2024-09-25 发布日期:2024-09-27
  • 通信作者: 陈光(1986-),男,讲师,博士,主要研究方向为城市微气候模拟和规划设计,E-mail:urbanchg@gdut.edu.cn
  • 作者简介:陈漪淇(1999-),女,硕士研究生,主要研究方向为城市热岛效应,E-mail:yiqiqi_chen@163.com
  • 基金资助:
    国家自然科学基金青年基金资助项目(51708129)

Applicability Test of a Diagnostic Equation for Daily Maximum Urban Heat Island Intensity Considering Anthropogenic Heat Flux

Chen Yi-qi1, Tan Xiao1, He Hao1, Li Nan2, Chen Guang1, Cai Yun-nan1   

  1. 1. School of Architecture and Urban Planning, Guangdong University of Technology, Guangzhou 510090, China;
    2. Green Building Design Research Center, Architectural Design and Research Institute of Guangdong Province, Guangzhou 510000, China
  • Received:2023-04-07 Online:2024-09-25 Published:2024-09-27

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摘要： 城市热岛(Urban Heat Island, UHI) 对热舒适、能源和生态安全有重要影响。准确预测日最大城市热岛强度(Maximum Urban Heat Island Intensity, UHIImax)可以预警能源消耗和保障室外热安全。基于局地气候分区(Local Climate Zone, LCZ)框架，在广州选择多个LCZ分区，并进行长达3年的局地气候观测。基于实测结果验证一个欧洲学者提出的未考虑人为热的日UHIImax诊断方程的适用性；进一步检验考虑人为热后扩展方程在广州的适用性。结果表明，该原始方程诊断结果与观测结果的相关系数为0.63，均方根误差(Root Mean Square Error, RMSE)为1.50 K，平均绝对误差(Median Absolute Error, MEAE)为0.97 K，d=0.60，诊断精度可适用。考虑人为热的扩展方程比原始方程诊断结果更加准确，RMSE降低了0.12 K，MEAE降低了0.10 K，d增加了0.04。方程在不同的LCZ的检验结果存在差异表明应针对不同的LCZ特征对方程进行修正，但增加人为热可提升在各LCZ的诊断表现。综上，该修正方程可以作为预测局地UHI发展的工具，提高湿热地区局地UHI的诊断精度。

关键词: 日最大热岛强度, 诊断方程, 局地气候分区, 方程检验, 人为热

Abstract: The urban heat island (UHI) has a significant impact on thermal comfort, energy, and ecological security. Accurately predicting the daily maximum urban heat island intensity (UHIImax) can provide early warning for energy consumption and ensure outdoor thermal safety. Based on the local climate zone (LCZ) framework, multiple LCZs were selected in Guangzhou, and long-term local climate observations were conducted over three years. The applicability of a diagnostic equation for daily UHIImax proposed by a European scholar, which did not consider anthropogenic heat flux (AHF) , was validated based on the observed results. Furthermore, the applicability of a revised equation considering AHF was tested in Guangzhou. The results showed that the diagnostic accuracy of the original equation was acceptable, with a correlation coefficient r2 of 0.63, Root Mean Square Error (RMSE) of 1.50 K, Median Absolute Error (MEAE) of 0.97 K and d of 0.60. The revised equation considering AHF yielded more accurate diagnostic results than the original equation, with a decrease of 0.12 K in RMSE, a decrease of 0.10 K in MEAE, and an increase of 0.04 in d. The differences in the validation results of the equation across different LCZs indicate that the equation should be modified according to the characteristics of each LCZ. However, incorporating AHF can improve the diagnostic performance of the equation in all LCZs. In conclusion, the revised equation can be used to predict the development of UHI and improve diagnostic accuracy in hot and humid cities.

Key words: daily maximum urban heat island intensity, diagnostic equation, local climate zone, equation evaluation, anthropogenic heat flux

中图分类号: 

  • TU986
[1] YANG X, CHEN Y, PENG L L H, et al. Quantitative methods for identifying meteorological conditions conducive to the development of urban heat islands [J]. Building and Environment, 2020, 178: 106953.
[2] MA L, YANG Z, ZHOU L, et al. Local climate zones mapping using object-based image analysis and validation of its effectiveness through urban surface temperature analysis in China [J]. Building and Environment, 2021, 206: 108348.
[3] MUGHAL M O, LI X X, NORFORD L K. Urban heat island mitigation in Singapore: evaluation using WRF/multilayer urban canopy model and local climate zones [J]. Urban Climate, 2020, 34: 100714.
[4] THEEUWES N E, STEENEVELD G J, RONDA R J, et al. A diagnostic equation for the daily maximum urban heat island effect for cities in northwestern Europe [J]. International Journal of Climatology, 2017, 37: 443-454.
[5] 姚灵烨, 杨小山, 朱春磊, 等. 一个日最大热岛强度诊断方程的检验[J].建筑科学, 2017 (10): 80-88.
YAO L Y, YANG X S, ZHU C L, et al. Evaluation of a diagnostic equation for the daily maximum urban heat island effect[J]. Building Science, 2017 (10): 80-88.
[6] ZHANG X, STEENEVELD G J, ZHOU D, et al. A diagnostic equation for the maximum urban heat island effect of a typical Chinese city: a case study for Xi'an [J]. Building Environment, 2019, 158: 39-50.
[7] 石玉蓉. 基于遥感和地表能量平衡的湿热地区城市局地气候研究 [D]. 广州: 华南理工大学, 2020.
[8] CHEN G, HE H, CHEN Y Q, et al. Applying a diagnostic equation for maximum urban heat island intensity based on local climate zones for Guangzhou, China [J]. Building and Environment, 2023, 228: 109817.
[9] VAHMANI P, LUO X, JONES A, et al. Anthropogenic heating of the urban environment: an investigation of feedback dynamics between urban micro-climate and decomposed anthropogenic heating from buildings [J]. Building and Environment, 2022, 213: 108841.
[10] MEI S J, YUAN C. Analytical and numerical study on transient urban street air warming induced by anthropogenic heat emission [J]. Energy and Buildings, 2021, 231: 110613.
[11] 钱静, 毛利伟, 杨续超, 等. 基于POI和多源遥感数据估算中国人为热排放[J].中国环境科学, 2023, 43(6): 3183-3193.
QIAN J, MAO L W, YANG X C, et al. Estimation of anthropogenic heat in China using points-of-interest and multisource remote sensing data[J]. China Environmental Science, 2023, 43(6): 3183-3193.
[12] 于玲玲, 潘蔚娟, 肖志祥, 等. 人为热对广州高温天气影响的数值模拟个例分析[J].中国环境科学, 2020, 40(9): 3721-3730.
YU L L, PAN W J, XIAO Z X, et al. Case studies of impacts of anthropogenic heat emissions on heat wave events in Guangzhou[J]. China Environmental Science, 2020, 40(9): 3721-3730.
[13] 曹峥, 吴志峰, 马文军. 人为热排放对不同类型建成区温度影响的模拟研究[J].地理科学进展, 2018, 37(4): 515-524.
CAO Z, WU Z F, MA W J. Effect of anthropogenic heat release on temperature in different types of built-up land in Guangzhou, China[J]. Progress in Geography, 2018, 37(4): 515-524.
[14] KOTTEK M, GRIESER J, BECK C, et al. World map of the Köppen-Geiger climate classification updated [J]. Meteorologische Zeitschrift, 2006, 15(3): 259-63.
[15] 张跃国, 郭艳华. 广州蓝皮书: 广州城乡融合发展报告(2022) [M]. 北京: 社会科学文献出版社, 2022.
[16] 刘琳, 潘鑫沛, 刘京, 等. 基于移动观测的多时空尺度街区热环境特征的关联性研究[J].建筑科学, 2022, 38(10): 72-83.
LIU L, PAN X P, LIU J, et al. Correlation study on multi-scale spatiotemporal characteristics of the block thermal environment using mobile measurement[J]. Building Science, 2022, 38(10): 72-83.
[17] 陈光, 李楠, 蔡云楠. 基于LCZ的广州夏季热岛强度特征分析[J]. 建筑科学, 2021, 37(6): 96-104.
CHEN G, LI N, CAI Y N. Analysis of the characteristics of heat island intensity based on LCZ in the summer of Guangzhou [J]. Building Science, 2021, 37(6): 96-104.
[18] PENG T, SUN C, FENG S, et al. Temporal and spatial variation of anthropogenic heat in the central urban area: a case study of Guangzhou, China [J]. ISPRS International Journal of Geo-Information, 2021, 10(3): 160.
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