Investigating Seasonal Effects of Dominant Driving Factors on Urban Land Surface Temperature in a Snow-Climate City in China
文献类型:期刊论文
作者 | Yang, Chaobin2; Yan, Fengqin1; Lei, Xuelei2; Ding, Xiuli2; Zheng, Yue2; Liu, Lifeng2; Zhang, Shuwen3 |
刊名 | REMOTE SENSING
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出版日期 | 2020-09-01 |
卷号 | 12期号:18页码:19 |
关键词 | land surface temperature driving factors seasonal comparison snow climate Changchun city |
DOI | 10.3390/rs12183006 |
通讯作者 | Yang, Chaobin(yangchaobin@sdut.edu.cn) |
英文摘要 | Land surface temperature (LST) is a crucial parameter in surface urban heat island (SUHI) studies. A better understanding of the driving mechanisms, influencing variations in LST dynamics, is required for the sustainable development of a city. This study used Changchun, a city in northeast China, as an example, to investigate the seasonal effects of different dominant driving factors on the spatial patterns of LST. Twelve Landsat 8 images were used to retrieve monthly LST, to characterize the urban thermal environment, and spectral mixture analysis was employed to estimate the effect of the driving factors, and correlation and linear regression analyses were used to explore their relationships. Results indicate that, (1) the spatial pattern of LST has dramatic monthly and seasonal changes. August has the highest mean LST of 38.11 degrees C, whereas December has the lowest (-19.12 degrees C). The ranking of SUHI intensity is as follows: summer (4.89 degrees C) > winter with snow cover (1.94 degrees C) > spring (1.16 degrees C) > autumn (0.89 degrees C) > winter without snow cover (-1.24 degrees C). (2) The effects of driving factors also have seasonal variations. The proportion of impervious surface area (ISA) in summer (49.01%) is slightly lower than those in spring (56.64%) and autumn (50.85%). Almost half of the area is covered with snow (43.48%) in winter. (3) The dominant factors are quite different for different seasons. LST possesses a positive relationship with ISA for all seasons and has the highest Pearson coefficient for summer (r = 0.89). For winter, the effect of vegetation on LST is not obvious, and snow becomes the dominant driving factor. Despite its small area proportion, water has the strongest cooling effect from spring to autumn, and has a warming effect in winter. (4) Human activities, such as agricultural burning, harvest, and different choices of crop species, could also affect the spatial patterns of LST. |
WOS关键词 | HEAT-ISLAND ; TEMPORAL CHARACTERISTICS ; VEGETATION INDEX ; SPATIAL-PATTERN ; THERMAL COMFORT ; AIR-TEMPERATURE ; RESOLUTION ; IMPACTS ; URBANIZATION ; INDICATORS |
资助项目 | Shandong Provincial Natural Science Foundation, China[ZR2019BD036] |
WOS研究方向 | Remote Sensing |
语种 | 英语 |
WOS记录号 | WOS:000581341800001 |
出版者 | MDPI |
资助机构 | Shandong Provincial Natural Science Foundation, China |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/157155] ![]() |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Yang, Chaobin |
作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 2.Shandong Univ Technol, Sch Civil & Architectural Engn, Zibo 255000, Peoples R China 3.Chinese Acad Sci, Northeast Inst Geog & Agroecol, Changchun 130102, Peoples R China |
推荐引用方式 GB/T 7714 | Yang, Chaobin,Yan, Fengqin,Lei, Xuelei,et al. Investigating Seasonal Effects of Dominant Driving Factors on Urban Land Surface Temperature in a Snow-Climate City in China[J]. REMOTE SENSING,2020,12(18):19. |
APA | Yang, Chaobin.,Yan, Fengqin.,Lei, Xuelei.,Ding, Xiuli.,Zheng, Yue.,...&Zhang, Shuwen.(2020).Investigating Seasonal Effects of Dominant Driving Factors on Urban Land Surface Temperature in a Snow-Climate City in China.REMOTE SENSING,12(18),19. |
MLA | Yang, Chaobin,et al."Investigating Seasonal Effects of Dominant Driving Factors on Urban Land Surface Temperature in a Snow-Climate City in China".REMOTE SENSING 12.18(2020):19. |
入库方式: OAI收割
来源:地理科学与资源研究所
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