Spatio-temporal Evolution Characteristics and Driving Forces of Winter Urban Heat Island: A Case Study of Rapid Urbanization Area of Fuzhou City, China

被引:0
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作者
Zili Wang
Chunyan Lu
Yanlin Su
Yue Su
Qianru Yu
Wenzhe Li
Nuocheng Yang
机构
[1] Fujian Agriculture and Forestry University,College of Computer and Information Sciences
[2] Fujian Province University,Key Laboratory of Smart Agriculture and Forestry (Fujian Agriculture and Forestry University)
[3] Fujian Agriculture and Forestry University,College of Forestry
来源
关键词
winter urban heat island (UHI); rapid urbanization area; land surface temperature (LST) retrieval; profile analysis; GeoDetector model; Fuzhou City, China;
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学科分类号
摘要
Under the influence of anthropogenic and climate change, the problems caused by urban heat island (UHI) has become increasingly prominent. In order to promote urban sustainable development and improve the quality of human settlements, it is significant for exploring the evolution characteristics of urban thermal environment and analyzing its driving forces. Taking the Landsat series images as the basic data sources, the winter land surface temperature (LST) of the rapid urbanization area of Fuzhou City in China was quantitatively retrieved from 2001 to 2021. Combing comprehensively the standard deviation ellipse model, profile analysis and GeoDetector model, the spatio-temporal evolution characteristics and influencing factors of the winter urban thermal environment were systematically analyzed. The results showed that the winter LST presented an increasing trend in the study area during 2001–2021, and the winter LST of the central urban regions was significantly higher than the suburbs. There was a strong UHI effect from 2001 to 2021 with an expansion trend from the central urban regions to the suburbs and coastal areas in space scale. The LST of green lands and wetlands are significantly lower than croplands, artificial surface and unvegetated lands. Vegetation and water bodies had a significant mitigation effect on UHI, especially in the micro-scale. The winter UHI had been jointly driven by the underlying surface and socio-economic factors in a nonlinear or two-factor interactive enhancement mode, and socio-economic factors had played a leading role. This research could provide data support and decision-making references for rationally planning urban layout and promoting sustainable urban development.
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页码:135 / 148
页数:13
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