干旱区生态环境知识资源中心(Arid): Spatio-temporal correlation between human activity intensity and land surface temperature on the north slope of Tianshan Mountains

Arid

DOI	10.1007/s11442-022-2030-5
	Spatio-temporal correlation between human activity intensity and land surface temperature on the north slope of Tianshan Mountains
	Chen Hongjin; Liu Lin; Zhang Zhengyong; Liu Ya; Tian Hao; Kang Ziwei; Wang Tongxia; Zhang Xueying
通讯作者	Liu, L
来源期刊	JOURNAL OF GEOGRAPHICAL SCIENCES
ISSN	1009-637X
EISSN	1861-9568
出版年	2022
卷号	32 期号:10 页码:1935-1955
英文摘要	Research on the spatio-temporal correlation between the intensity of human activities and the temperature of earth surfaces is of great significance in many aspects, including fully understanding the causes and mechanisms of climate change, actively adapting to climate change, pursuing rational development, and protecting the ecological environment. Taking the north slope of Tianshan Mountains, located in the arid area of northwestern China and extremely sensitive to climate change, as the research area, this study retrieves the surface temperature of the mountain based on MODIS data, while characterizing the intensity of human activities thereby data on the night light, population distribution and land use. The evolution characteristics of human activity intensity and surface temperature in the study area from 2000 to 2018 were analyzed, and the spatio-temporal correlation between them was further explored. It is found that: (1) The average human activity intensity (0.11) in the research area has kept relatively low since this century, and the overall trend has been slowly rising in a stepwise manner (0.0024 center dot a(-1)); in addition, the increase in human activity intensity has lagged behind that in construction land and population by 1-2 years. (2) The annual average surface temperature in the area is 7.18 degrees C with a pronounced growth. The rate of change (0.02 degrees C center dot a(-1)) is about 2.33 times that of the world. The striking boost in spring (0.068 degrees C center dot a(-1)) contributes the most to the overall warming trend. Spatially, the surface temperature is low in the south and high in the north, due to the prominent influence of the underlying surface characteristics, such as elevation and vegetation coverage. (3) The intensity of human activity and the surface temperature are remarkably positively correlated in the human activity areas there, showing a strong distribution in the east section and a weak one in the west section. The expression of its spatial differentiation and correlation is comprehensively affected by such factors as scopes of human activities, manifestations, and land-use changes. Vegetation-related human interventions, such as agriculture and forestry planting, urban greening, and afforestation, can effectively reduce the surface warming caused by human activities. This study not only puts forward new ideas to finely portray the intensity of human activities but also offers a scientific reference for regional human-land coordination and overall development.
英文关键词	human activity intensity surface temperature nighttime light data spatio-temporal correlation north slope of Tianshan Mountains
类型	Article
语种	英语
开放获取类型	Bronze
收录类别	SCI-E
WOS记录号	WOS:000863598800004
WOS关键词	DYNAMICS ; DMSP/OLS ; CHINA ; URBANIZATION ; VEGETATION
WOS类目	Geography, Physical
WOS研究方向	Physical Geography
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/393452
推荐引用方式 GB/T 7714	Chen Hongjin,Liu Lin,Zhang Zhengyong,et al. Spatio-temporal correlation between human activity intensity and land surface temperature on the north slope of Tianshan Mountains[J],2022,32(10):1935-1955.
APA	Chen Hongjin.,Liu Lin.,Zhang Zhengyong.,Liu Ya.,Tian Hao.,...&Zhang Xueying.(2022).Spatio-temporal correlation between human activity intensity and land surface temperature on the north slope of Tianshan Mountains.JOURNAL OF GEOGRAPHICAL SCIENCES,32(10),1935-1955.
MLA	Chen Hongjin,et al."Spatio-temporal correlation between human activity intensity and land surface temperature on the north slope of Tianshan Mountains".JOURNAL OF GEOGRAPHICAL SCIENCES 32.10(2022):1935-1955.