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
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
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
纸质出版:2024
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陈漪淇, 谭啸, 何昊, 李楠, 陈光, 蔡云楠. 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[J]. 广东工业大学学报, 2024, 41(5): 72-79.
Chen Yi-qi, Tan Xiao, He Hao, et al. Applicability Test of a Diagnostic Equation for Daily Maximum Urban Heat Island Intensity Considering Anthropogenic Heat Flux[J]. 2024, 41(5): 72-79.
陈漪淇, 谭啸, 何昊, 李楠, 陈光, 蔡云楠. 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[J]. 广东工业大学学报, 2024, 41(5): 72-79. DOI: 10.12052/gdutxb.230058.
Chen Yi-qi, Tan Xiao, He Hao, et al. Applicability Test of a Diagnostic Equation for Daily Maximum Urban Heat Island Intensity Considering Anthropogenic Heat Flux[J]. 2024, 41(5): 72-79. DOI: 10.12052/gdutxb.230058.
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
UHII
max
)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UHII
max
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。
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 (UHII
max
) 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 UHII
max
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
r
2
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.
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