中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Comparing the Evolution of Land Surface Temperature and Driving Factors between Three Different Urban Agglomerations in China

文献类型:期刊论文

作者Pan, Lizhi1; Yang, Chaobin1,2; Han, Jing3; Yan, Fengqin4; Ju, Anhua5; Kui, Tong1; He, Baojie
刊名SUSTAINABILITY
出版日期2024
卷号16期号:2页码:17
关键词land surface temperature urban agglomerations spatial and temporal evolution urban remote sensing geodetic detector models
DOI10.3390/su16020486
通讯作者Yang, Chaobin(yangchaobin@sdut.edu.cn)
英文摘要Increases in land surface temperature (LST) and the urban heat island effect have become major challenges in the process of urban development. However, few studies have examined variations in LST between different urban agglomerations (UAs). Based on MODIS LST data, we quantitatively analyzed the spatial and temporal evolution patterns of LST in three different UAs in China from 2000 to 2020-Beijing-Tianjin-Hebei (BTH) at the national level, the Shandong Peninsula (SP) at the regional level, and Central Shanxi (CS) at the city level-by employing urban agglomeration built-up area intensity (UABI), linear regression analyses, and geodetic detector models. The results showed the following: (1) The spatial and temporal evolution pattern of the LST in BTH was the most regularized; the spatial pattern of the LST in SP gradually evolved from "two points" to "a single branch"; and the LST of CS was easily influenced by the neighboring big cities. (2) The best-fitting coefficients for BTH, SP, and CS were R-BTH(2) = 0.58, R-SP(2) = 0.66, and R-CS(2) = 0.58, respectively; every 10% increase in UABI warmed the LSTs in BTH, SP, and CS by 1.47 degrees C, 1.27 degrees C, and 1.83 degrees C, respectively. (3) The ranking of single-factor influence was DEM (digital elevation model) > UABI > NDVI > T-2m (air temperature at 2 m) > POP (population). The UABI interacting with DEM had the strongest warming effect on LST, with the maximum value q(UABI boolean AND DEM) (BTH) = 0.951. All factor interactions showed an enhancement of the LST in CS, but factors interacting with POP showed a weaker effect in BTH and SP, for which q(NDVI boolean AND POP) (BTH) = 0.265 and q(T-2m boolean AND POP) (SP) = 0.261. As the development of UAs gradually matures, the interaction with POP might have a cooling effect on the environment to a certain degree.
WOS关键词HEAT ; GREEN ; URBANIZATION ; RISK
资助项目National Natural Science Foundation of China
WOS研究方向Science & Technology - Other Topics ; Environmental Sciences & Ecology
语种英语
出版者MDPI
WOS记录号WOS:001152717100001
资助机构National Natural Science Foundation of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/202337]  
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.Shandong Univ Technol, Sch Civil Engn & Geomatics, Zibo 255049, Peoples R China
2.Minist Nat Resources, Key Lab Urban Land Resources Monitoring & Simulat, Shenzhen 518040, Peoples R China
3.Shandong Univ, Sch Space Sci & Phys, Weihai 264209, Peoples R China
4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resource & Environm Informat Syst, Beijing 100101, Peoples R China
5.Chengdu Univ Technol, Coll Earth Sci, Chengdu 610059, Peoples R China
推荐引用方式
GB/T 7714
Pan, Lizhi,Yang, Chaobin,Han, Jing,et al. Comparing the Evolution of Land Surface Temperature and Driving Factors between Three Different Urban Agglomerations in China[J]. SUSTAINABILITY,2024,16(2):17.
APA Pan, Lizhi.,Yang, Chaobin.,Han, Jing.,Yan, Fengqin.,Ju, Anhua.,...&He, Baojie.(2024).Comparing the Evolution of Land Surface Temperature and Driving Factors between Three Different Urban Agglomerations in China.SUSTAINABILITY,16(2),17.
MLA Pan, Lizhi,et al."Comparing the Evolution of Land Surface Temperature and Driving Factors between Three Different Urban Agglomerations in China".SUSTAINABILITY 16.2(2024):17.

入库方式: OAI收割

来源:地理科学与资源研究所

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