青海湖流域地表温度时空变化特征研究

doi:10.12118/j.issn.1000-6060.2022.525

Abstract

Abstract:

The land surface temperature considerably influences land surface processes. Based on MOD11A2 land surface temperature data, the annual, seasonal, monthly, and diurnal land surface temperature changes in the Qinghai Lake Basin of China during 2002—2021 were analyzed using the digital elevation model, land use type, meteorology and normalized difference vegetation index, ArcGIS spatial analysis, and mathematical statistics. The results revealed that: (1) The average annual land surface temperature of the Qinghai Lake Basin increased over the years, and the average land surface temperature was 2.20 ℃. The spatial distribution exhibited a regular characteristic of gradually decreasing from the southeast to the northwest of the basin. The north and east shores of Qinghai Lake exhibited the most significant increasing trend of the land surface temperature, and the area with increasing trend accounted for the main part of the basin. (2) The land surface temperature values in various seasons were in the sequence summer>spring>autumn>winter. With the exception of spring, in which a decreasing trend was observed over the year, an increasing trend was observed annually for summer, autumn, and winter. (3) The land surface temperature between months exhibited a regular increase and subsequent decrease, with July as the “symmetry axis” showing a significantly similar trend. (4) The land surface temperatures of various land use types from high to low followed the order arable land>forest land>shrubs>grassland>wasteland>glacier. (5) The annual average land surface temperature was significantly negatively correlated with elevation (P<0.05), and the annual average land surface temperature decreased by approximately 0.8 ℃ for every 100 m increase in the elevation. (6) Single-factor detection results revealed differences in the explanatory power of environmental factors on the land surface temperature. Among these factors, altitude and the mean annual temperature exhibited high explanatory power on the land surface temperature, whereas the land use type exhibited the lowest explanatory power. Among the interactions of all factors, the annual mean temperature and altitude interacted with the highest explanatory power of q value (0.90). This result indicated that the coupling of the annual mean temperature and altitude was closely related to the land surface temperature of Qinghai Lake Basin.

Key words: Qinghai Lake Basin, land surface temperature, spatiotemporal variation, geographic detector, environmental factors

KANG Ligang, CAO Shengkui, CAO Guangchao, YAN Li, CHEN Lianxuan, LI Wenbin, ZHAO Haoran. Spatiotemporal variation of land surface temperature in Qinghai Lake Basin[J].Arid Land Geography, 2023, 46(7): 1084-1097.

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地表温度	2002年	2007年	2012年	2017年	2020年	年均	年均白天	年均夜晚
耕地	4.52	4.97	4.5	5.05	5.22	5.19	17.43	-7.02
林地	3.43	3.38	2.13	3.47	3.96	3.63	13.2	-7.17
灌木	3.21	3.16	2.01	3.28	2.89	3.31	14.27	-7.29
草地	2.48	2.65	1.44	2.61	2.21	2.89	15.26	-9.68
冰川	-6.72	-7.43	-8.05	-7.12	-7.17	-7.63	0.23	-15.59
荒地	-1.24	-0.99	-2.05	-0.81	-1.25	-0.11	11.58	-12.03

环境因子	Moran’s I指数	Z得分
年均地表温度	0.70	67.83
年均气温	0.80	77.46
年均降水量	0.89	86.26
年均NDVI	0.57	54.79

Spatiotemporal variation of land surface temperature in Qinghai Lake Basin

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