Spatiotemporal Analysis of Surface Urban Heat Island Dynamics in Central Yunnan City Cluster
Qingping Fang,
Chang Liu (),
Zhibin Ren,
Yao Fu,
Huapeng Fan,
Yongshu Wang and
Zhexiu Yu
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Qingping Fang: Faculty of Forestry, Southwest Forestry University, Kunming 650024, China
Chang Liu: Faculty of Forestry, Southwest Forestry University, Kunming 650024, China
Zhibin Ren: Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China
Yao Fu: School of Geography and Land Engineering, Yuxi Normal University, Yuxi 653100, China
Huapeng Fan: Faculty of Forestry, Southwest Forestry University, Kunming 650024, China
Yongshu Wang: School of Art and Design, Yunnan University, Kunming 650091, China
Zhexiu Yu: College of Forestry, Beijing Forestry University, Beijing 100083, China
Sustainability, 2024, vol. 16, issue 11, 1-20
Abstract:
The acceleration of urbanization has led to an increase in urban expansion and population density, exacerbating the urban heat island (UHI) effect. Moreover, the phenomenon has a significant impact on urban ecological environments and human health. Consequently, mitigating the UHI effect and enhancing the ecological environment is crucial. However previous research has primarily focused on individual cities or regional scales, with few studies analyzing all cities within urban agglomerations. This paper conducts a fine-grained spatiotemporal analysis of surface urban heat island (SUHI) effects in the Central Yunnan City Cluster from 2000 to 2021 using Landsat satellite data. We calculate the surface urban heat island intensity (SUHII) for 44 cities at the county or district level and discuss the quantitative estimation of overall SUHII changes and driving factors in the Central Yunnan City Cluster. Our findings are as follows: 1. Small cities also exhibit UHI effects, with a 75.4% probability of occurrence in the Central Yunnan City Cluster from 2000 to 2021, resulting in an overall decrease in SUHII of 1.21 °C. 2. The temperature increase rate in urban extension areas and suburban areas is faster than that in urban central areas, which is the main reason for the decreasing trend of SUHII. 3. Land use change inhibits the weakening of the SUHI effect, and population change contributes to the formation of this phenomenon. Additionally, the methods and results of this study can provide reasonable and effective insights for the future development and planning of the Central Yunnan City Cluster, thus promoting urban sustainable development.
Keywords: land surface temperature; urban heat island effect; Sen + Mann–Kendall trend analysis; spatial autoregressive model (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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