Study on the prediction model of urban surface temperature between middle and low latitudes in China
Aiming at a series of social and economic problems caused by the urban heat island effect, such as the increase of urban energy consumption, the continuous growth of carbon emissions, the consumption of water resources, the increase of the incidence and mortality of heat-related diseases in urban re...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-08-01
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| Series: | Case Studies in Thermal Engineering |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214157X25005933 |
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| author | Guang Yang Baoyue Zhang Yanbo Zhao Jue Wang Yundong Li Jing Gui Taipeng Tian Zhen Zhang |
| author_facet | Guang Yang Baoyue Zhang Yanbo Zhao Jue Wang Yundong Li Jing Gui Taipeng Tian Zhen Zhang |
| author_sort | Guang Yang |
| collection | DOAJ |
| description | Aiming at a series of social and economic problems caused by the urban heat island effect, such as the increase of urban energy consumption, the continuous growth of carbon emissions, the consumption of water resources, the increase of the incidence and mortality of heat-related diseases in urban residents, the local climate zoning system, the Spearman correlation analysis method and the mean−standard deviation method were used to draw the land use classification map of Shanghai. Based on the building area and LCZ theory, the local climate zoning map and the heat island classification map of the building area in Shanghai were obtained, and the remote sensing index map of Shanghai was drawn. Through the remote sensing index map and the local climate zoning map, the prediction model of Shanghai surface temperature is deduced, and it is tried to be extended to the whole urban building area between middle and low latitudes. |
| format | Article |
| id | doaj-art-d9947a03fb3c4e5c9156cbcac1d2cb15 |
| institution | Kabale University |
| issn | 2214-157X |
| language | English |
| publishDate | 2025-08-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Case Studies in Thermal Engineering |
| spelling | doaj-art-d9947a03fb3c4e5c9156cbcac1d2cb152025-08-20T03:44:55ZengElsevierCase Studies in Thermal Engineering2214-157X2025-08-017210633310.1016/j.csite.2025.106333Study on the prediction model of urban surface temperature between middle and low latitudes in ChinaGuang Yang0Baoyue Zhang1Yanbo Zhao2Jue Wang3Yundong Li4Jing Gui5Taipeng Tian6Zhen Zhang7School of Civil Engineering, Liaoning Technical University, Fuxin, ChinaSchool of Civil Engineering, Liaoning Technical University, Fuxin, ChinaXi'an Huaguang Power Station Boiler Co., Ltd., Xi'an, China; Corresponding author.School of Civil Engineering, Liaoning Technical University, Fuxin, ChinaChina Huanqiu Contracting & Engineering Co.,Ltd., Beijing, ChinaSchool of Civil Engineering, Liaoning Technical University, Fuxin, ChinaSchool of Civil Engineering, Liaoning Technical University, Fuxin, ChinaSchool of Civil Engineering, Liaoning Technical University, Fuxin, ChinaAiming at a series of social and economic problems caused by the urban heat island effect, such as the increase of urban energy consumption, the continuous growth of carbon emissions, the consumption of water resources, the increase of the incidence and mortality of heat-related diseases in urban residents, the local climate zoning system, the Spearman correlation analysis method and the mean−standard deviation method were used to draw the land use classification map of Shanghai. Based on the building area and LCZ theory, the local climate zoning map and the heat island classification map of the building area in Shanghai were obtained, and the remote sensing index map of Shanghai was drawn. Through the remote sensing index map and the local climate zoning map, the prediction model of Shanghai surface temperature is deduced, and it is tried to be extended to the whole urban building area between middle and low latitudes.http://www.sciencedirect.com/science/article/pii/S2214157X25005933Urban heat island effectMiddle and low latitude citiesLocal climate zonesRelevance analysisPrediction model |
| spellingShingle | Guang Yang Baoyue Zhang Yanbo Zhao Jue Wang Yundong Li Jing Gui Taipeng Tian Zhen Zhang Study on the prediction model of urban surface temperature between middle and low latitudes in China Case Studies in Thermal Engineering Urban heat island effect Middle and low latitude cities Local climate zones Relevance analysis Prediction model |
| title | Study on the prediction model of urban surface temperature between middle and low latitudes in China |
| title_full | Study on the prediction model of urban surface temperature between middle and low latitudes in China |
| title_fullStr | Study on the prediction model of urban surface temperature between middle and low latitudes in China |
| title_full_unstemmed | Study on the prediction model of urban surface temperature between middle and low latitudes in China |
| title_short | Study on the prediction model of urban surface temperature between middle and low latitudes in China |
| title_sort | study on the prediction model of urban surface temperature between middle and low latitudes in china |
| topic | Urban heat island effect Middle and low latitude cities Local climate zones Relevance analysis Prediction model |
| url | http://www.sciencedirect.com/science/article/pii/S2214157X25005933 |
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