Seasonal Contrast and Interactive Effects of Potential Drivers on Land Surface Temperature in the Sichuan Basin, China
文献类型:期刊论文
作者 | Wang, Ziyi2; Sun, Dongqi1; Hu, Chunguang3; Wang, Yu2; Zhang, Jingxiang2 |
刊名 | REMOTE SENSING
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出版日期 | 2022-03-01 |
卷号 | 14期号:5页码:19 |
关键词 | land surface temperature (LST) urban heat island (UHI) geo-detector Sichuan Basin spatial heterogeneity potential drivers |
DOI | 10.3390/rs14051292 |
通讯作者 | Sun, Dongqi(sundq@igsnrr.ac.cn) |
英文摘要 | Little is known about the seasonal heterogeneity of land surface temperature (LST) and the interaction relationship between potential drivers in Sichuan Basin, China. In this study, based on exploring the spatial heterogeneity of LST in Sichuan Basin, China, multi-source remote sensing data as potential drivers were selected and a Geo-detector model was applied to analyze the main drivers and the interactive relationship between drivers on LST during different seasons. The results showed that the high-temperature areas in Sichuan Basin in different seasons all appeared in the cities near the high mountains on the edge of the basin. This phenomenon was summarized as "sinking heat island" by us. From the driving factors, the biophysical parameters (DEM, SLOPE and NDVI) had the greatest impact on LST in each season, reaching the peak in the transition season. The climate parameters (WIND, HUM, PRE and TEM) and socioeconomic parameters (LIGHT, POP and ROAD) also had a certain impact on LST. The influence of a single landscape parameter (SHDI, PD, LPI, ED and LSI) on LST is limited. From the effect of factor interaction on LST, the interaction of biophysical parameters, climatic parameters and landscape parameters from summer to the transitional season was strengthened obviously, and it showed a downward trend in the winter; in contrast, the socioeconomic parameters showed the opposite characteristics, indicating that the interaction between human activities and other factors affected LST more obviously in the winter. The results of this study are not only valuable for understanding the spatial features of LST but also important for formulating mitigation strategies and sustainable development of urban heat island in Sichuan Basin. |
WOS关键词 | URBAN HEAT-ISLAND ; LANDSCAPE PATTERN ; SPATIAL-PATTERNS ; CONFIGURATION ; VARIABILITY ; VALIDATION ; EFFICIENCY ; CLIMATE ; METRICS ; CITIES |
资助项目 | National Science Foundation for Young Scientists of China[41971162] ; National Science Foundation for Young Scientists of China[52078245] |
WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
语种 | 英语 |
WOS记录号 | WOS:000769184300001 |
出版者 | MDPI |
资助机构 | National Science Foundation for Young Scientists of China |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/172473] ![]() |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Sun, Dongqi |
作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 2.Nanjing Univ, Sch Architecture & Urban Planning, Nanjing 210093, Peoples R China 3.Huazhong Univ Sci & Technol, Sch Architecture & Urban Planning, Wuhan 430074, Peoples R China |
推荐引用方式 GB/T 7714 | Wang, Ziyi,Sun, Dongqi,Hu, Chunguang,et al. Seasonal Contrast and Interactive Effects of Potential Drivers on Land Surface Temperature in the Sichuan Basin, China[J]. REMOTE SENSING,2022,14(5):19. |
APA | Wang, Ziyi,Sun, Dongqi,Hu, Chunguang,Wang, Yu,&Zhang, Jingxiang.(2022).Seasonal Contrast and Interactive Effects of Potential Drivers on Land Surface Temperature in the Sichuan Basin, China.REMOTE SENSING,14(5),19. |
MLA | Wang, Ziyi,et al."Seasonal Contrast and Interactive Effects of Potential Drivers on Land Surface Temperature in the Sichuan Basin, China".REMOTE SENSING 14.5(2022):19. |
入库方式: OAI收割
来源:地理科学与资源研究所
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