Spatial-temporal characteristics and influencing factors of land surface temperature on the southern slope of Qilian Mountains from 2001 to 2022

doi:10.7522/j.issn.1000-694X.2024.00048

Journal of Desert Research ›› 2024, Vol. 44 ›› Issue (5): 84-94.DOI: 10.7522/j.issn.1000-694X.2024.00048

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Spatial-temporal characteristics and influencing factors of land surface temperature on the southern slope of Qilian Mountains from 2001 to 2022

Xiaoyan Li¹(), Guangchao Cao¹^,², Zongyan Chen¹^,², Jie Yuan¹^,²(), Ziting Sun¹, Jianting Tang¹

^1.Ministry of Education Key Laboratory of Tibetan Plateau Land Surface Processes and Ecological Conservation / College of Geographical Science / Qinghai Provincial Key Laboratory of Physical Geography and Environmental Process，Qinghai Normal University，Xining 810008，China
^2.Academy of Plateau Science and Sustainability，People's Government of Qinghai Province and Beijing Normal University，Xining 810008，China

Received:2023-12-26 Revised:2024-04-02 Online:2024-09-20 Published:2024-10-15
Contact: Jie Yuan

Abstract

Abstract:

Based on MOD11A2 data， DEM， land use type data， meteorological data （precipitation， air temperature and normalized difference vegetation index （NDVI） of Qilian Mountains from 2001 to 2022， land surface temperature （LST） were analyzed using trend analysis， linear regression and geographic probe model， and the driving factors of LST were discussed. The results show that：（1） In the time dimension， the LST on the southern slope of Qilian Mountains show upward trend from 2001 to 2022， and the LST warming rate in growing season （from May to September） is higher than that in non-growing season. The daytime LST showed an insignificant decline trend （-0.065 ℃/10a）， the nighttime LST showed a significant increase trend （0.21 ℃/10a）， while the annual LST increased at the rate of 0.072 ℃/10a. The monthly LST increased first and then decreased， and it was symmetrical with July as the turning point. （2） In the spatial dimension， the high LST regions are mainly distributed in the valley area. The decreasing rate of LST with elevation was 0.59 ℃/100 m. The order of LST from low to high was as follows： bare land < water < grassland < forest land < land of construction < cultivated land. （3） Under the influence of single factor， altitude is the main factor affecting the change of LST， and air temperature is the second. The coupling of air temperature and precipitation had the greatest explanatory power （q = 0.61）.

Key words: land surface temperature, spatial and temporal variations, impact factors, southern slope of Qilian Mountains

CLC Number:

P423

Xiaoyan Li, Guangchao Cao, Zongyan Chen, Jie Yuan, Ziting Sun, Jianting Tang. Spatial-temporal characteristics and influencing factors of land surface temperature on the southern slope of Qilian Mountains from 2001 to 2022[J]. Journal of Desert Research, 2024, 44(5): 84-94.

Figures/Tables 12

Fig.1 Elevation of the study area

Table 1 Data sources and processing

数据类型	数据来源	数据产品	分辨率	数据处理
地表温度	美国航天航空局NASA网站（http://modis.gsfc.nasa.gov/）	MOD11A2	8 d,1 km	利用MRT、ArcGIS10.8进行拼接、投影转换、重采样和裁剪等预处理
气温、降水量、NDVI	国家地球系统科学数据中心（http://www.geodata.cn)	中国地面资料年值数据	1 km	利用ArcGIS10.8软件进行裁剪与重分类
DEM、坡度、坡向	地理空间数据云(http://www.gscloud.cn)	DEM数字高程数据	90 m	利用ArcGIS10.8软件进行裁剪与重分类
土地利用	GEE（https://earthengine.google.com)	青海省土地利用数据	30 m	利用ArcGIS10.8软件进行裁剪与重分类

Fig.2 Interannual variation of land surface temperature on the southern slope of Qilian Mountains from 2001 to 2022

Fig.3 Spatial distribution of land surface temperature and its interannual variability on the southern slope of Qilian Mountains from 2001 to 2022

Fig.4 Interannual variation of land surface temperature in growing season and non-growing season on the southern slope of Qilian Mountains from 2001 to 2022

Fig.5 Spatial distribution of land surface temperature in growing season and non-growing season on the southern slope of Qilian Mountains from 2001 to 2022

Fig.6 Annual variation of monthly average land surface temperature on the southern slope of Qilian Mountains from 2001 to 2022

Fig.7 Spatial distribution of monthly everage land surface temperature on the southern slope of Qilian Mountains from 2001 to 2022

Table 2 Land surface temperature of different land use types on the southern slope of the Qilian Mountains

土地利用类型	年份					年均	年均白天	年均夜晚
土地利用类型	2000	2005	2010	2015	2021	年均	年均白天	年均夜晚
裸地	5.36	-1.56	-1.57	-1.58	-2.91	-1.83	7.56	-11.23
建设用地	5.03	5.03	5.03	5.03	5.03	5.07	15.88	-5.74
水域	0.72	0.71	0.82	0.82	0.83	-0.25	9.57	-10.07
草地	0.89	0.88	0.87	0.87	0.88	0.88	11.56	-9.80
林地	1.87	1.86	1.86	1.86	1.92	1.87	11.12	-7.37
耕地	5.36	5.35	5.34	5.34	5.16	5.31	16.05	-5.43

Fig.8 Annual daytime and nighttime mean land surface temperature changes at different elevations in the Qilian Mountains from 2001 to 2022

Fig.9 Cluster analysis of air temperature， precipitation， amount of NDVI and LST of Qilian Mountains from 2001 to 2022

Fig.10 Driving force of influence factors

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Spatial-temporal characteristics and influencing factors of land surface temperature on the southern slope of Qilian Mountains from 2001 to 2022

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