Publication Details |
| Category | Text Publication |
| Reference Category | Journals |
| DOI | 10.1016/j.scitotenv.2023.163989 |
| Document | author version |
| Title (Primary) | Characteristics of anthropogenic heat with different modeling ideas and its driving effect on urban heat islands in seven typical Chinese cities |
| Author | Qian, J.; Meng, Q.; Zhang, L.; Schlink, U.
; Hu, X.; Gao, J. |
| Source Titel | Science of the Total Environment |
| Year | 2023 |
| Department | SUSOZ |
| Volume | 886 |
| Page From | art. 163989 |
| Language | englisch |
| Topic | T5 Future Landscapes |
| Keywords | Anthropogenic heat; Urban heat islands; Driving analysis; Spatiotemporal heterogeneity |
| Abstract | Anthropogenic heat (AH), an essential urban heat source, is often overlooked or simplified in research on the multiple temporal and spatial driving mechanisms of the urban heat island (UHI), and case studies investigating the impacts of different AH connotations are scarce. This study estimated the AH in seven typical Chinese cities based on a remote sensing surface energy balance model (AHseb) and an energy consumption inventory-machine learning model (AHinf). The intensity of the surface UHI was extracted using land surface temperatures, and then the linear mixed-effects model and geographic detectors were used to analyze the driving effect of AH on the UHI. Despite the similar shapes of the spatial profile curves, the AH derived from the two models differed in both temporal and spatial characteristics, which was more typical in winter and in urban centers, and AHinf had a more notable central spread feature than AHseb. The AH driving effects on UHI were notably influenced by spatial and temporal heterogeneity, particularly in regions with distinct background climates. However, after controlling for the random effects of the background climate, AH still exhibited a considerable enhancing effect on the UHI. AHseb outperformed AHinf in terms of linear positive correlation and interpretation rate for UHI. Meanwhile, interactions with other potential factors enhanced AH driving effects. Consequently, UHI mitigation must be tailored to the local context by integrating multiple drivers, and for the heating effects of AH, it is necessary to develop specific mitigation measures by limiting the conversion of AHinf to AHseb in addition to reducing the heat production. The findings offer guidance for analyzing and optimizing urban thermal climates with a focus on AH or energy consumption control. |
| Persistent UFZ Identifier | https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=27027 |
| Qian, J., Meng, Q., Zhang, L., Schlink, U., Hu, X., Gao, J. (2023): Characteristics of anthropogenic heat with different modeling ideas and its driving effect on urban heat islands in seven typical Chinese cities Sci. Total Environ. 886 , art. 163989 10.1016/j.scitotenv.2023.163989 |
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