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.
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.
Applicability Test of a Diagnostic Equation for Daily Maximum Urban Heat Island Intensity Considering Anthropogenic Heat Flux
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.
关键词
Keywords
references
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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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