干旱区生态环境知识资源中心(Arid): 祁连山MODIS LST时空变化特征及影响因素分析

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	祁连山MODIS LST时空变化特征及影响因素分析
其他题名	Spatiotemporal variation characteristics and influence factors of MODIS LST in Qilian Mountains
	邱丽莎; 何毅; 张立峰; 王文辉; 唐源蔚
来源期刊	干旱区地理
ISSN	1000-6060
出版年	2020
卷号	43 期号:3 页码:726-737
中文摘要	地表温度(Land Surface Temperature,LST)是研究区域尺度和全球尺度上地表能量和水平衡物理过程中不可缺少的参数。祁连山LST的时空变化规律及其影响因素模式未知。通过采用趋势分析法和相关性分析法,探讨2000-2017年间祁连山LST的时空变化特征及与植被的相互关系,分析各植被类型下地表温度的时空分异特征。结果表明:(1)MODIS LST产品的精度能够满足祁连山地表温度时空变化分析的要求。(2)祁连山LST时间序列呈"上升-下降-上升-下降"的波动变化,整体呈小幅上升趋势,以0.17 ℃·(10 a)~(-1)的速率波动上升,冬季LST上升趋势最显著(63.37%),变化率为0.22℃·(10 a)~(-1);空间上呈西北降低东南升高的变化趋势,显著上升面积(14.89%)远大于下降面积(0.90%)。(3)祁连山年均LST与NDVI呈负相关,显著相关区域占22.56%,夏季NDVI对LST的调控作用较显著(25.45%);荒漠NDVI对LST的影响大于其他植被类型。(4)海拔对各植被类型LST有强烈的影响,相关性依次为荒漠>林地>草甸>耕地;然而,夏季LST与海拔的相关性因植被覆盖增加而显著降低。(5)祁连山LST上升是NDVI、海拔以及植被类型综合影响的结果。
英文摘要	Land surface temperature(LST)is an important variable in the surface energy budget, significantly affecting the global agriculture,natural disasters,hydrology,and ecological environment.With global climate change,quantitative research on LST and its related factors become critical in both regional and global scales.The Qilian Mountains in Qinghai and Gansu Province,China,as the boundary between the Qinghai-Tibetan Plateau and Northern Hinterland, is influenced by the continental climate and the climate of the Qinghai-Tibetan Plateau.It belongs to the temperate semi-arid climate zone and is an important geographical and climatic boundary line in China.The study of LST in the Qilian Mountains is essential for understanding the hydrothermal cycle in the northwest and improving the fragile ecological environment.The climate pattern,vegetation,and different land-use of the Qilian Mountains have been studied comprehensively.However, the spatiotemporal variability characteristics of LST and its response mode to terrain are not yet clear.Besides, the impact of different vegetation types on LST changes need to be discussed.Based on the MODIS LST data from 2000 to 2017, this study used a linear trend method to analyze the temporal and spatial variation of LST in the Qilian Mountains and used Pearson correlation analysis to discuss the regulation of LST by different types of vegetation and the influence of altitude on its change.The results are as follows:(1)the accuracy of MODIS LST products can meet the requirements of temporal-spatial variation analysis of surface temperature in the Qilian Mountains.(2)LST of the Qilian Mountains increased at a rate of 0.17 ℃·(10 a)~(-1),with two rising periods in 2000-2003(1.83 ℃ ·(10 a)~(-1))and 2004-2017(0.14 ℃ ·(10 a)~(-1)).The annual average LST increased from South-West to North-East,and the significant rising area accounts for 77.26% of the total area.The extremely significant rising areas were mainly distributed in the middle and low altitudes below 3 500 m.In addition, the winter change rate was the highest(0.22 ℃·(10 a)~(-1)),and the warmer area reached 98.23%.The winter warming had the greatest contribution to the increase of LST in the Qilian Mountains.(3)vegetation had a significant impact on LST changes,cultivated lands had a better inhibitory effect on LST rise,and vegetation in the desert had a stronger regulatory effect on LST.Except for summer, the NDVI and LST were positively correlated in the rest of the season,and the positively correlated areas were mainly concentrated in the high-altitude forest land.(4)the effect of altitude on LST was significantly weak during the summer due to conditions such as vegetation cover changes.The LST in the desert showed the strongest response to altitude,with strong annual fluctuations between 2 500 and 3 500 m.Meanwhile,vegetation degradation and human activities at low and medium altitudes may be the main factors accelerating the increase in LST.
中文关键词	植被类型 ; 祁连山
英文关键词	MODIS LST NDVI MODIS LST MODIS NDVI vegetation type Qilian Mountains
类型	Article
语种	中文
收录类别	CSCD
WOS研究方向	Plant Sciences
CSCD记录号	CSCD:6765657
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/336702
作者单位	邱丽莎, 兰州交通大学测绘与地理信息学院;;地理国情监测技术应用国家地方联合工程研究中心;;甘肃省地理国情监测工程实验室, ;;地理国情监测技术应用国家地方联合工程研究中心;;甘肃省地理国情监测工程实验室, 兰州;;兰州;;兰州, 甘肃;;甘肃;;甘肃 730700;;730700;;730700, 中国.; 何毅, 兰州交通大学测绘与地理信息学院;;地理国情监测技术应用国家地方联合工程研究中心;;甘肃省地理国情监测工程实验室, ;;地理国情监测技术应用国家地方联合工程研究中心;;甘肃省地理国情监测工程实验室, 兰州;;兰州;;兰州, 甘肃;;甘肃;;甘肃 730700;;730700;;730700, 中国.; 张立峰, 兰州交通大学测绘与地理信息学院;;地理国情监测技术应用国家地方联合工程研究中心;;甘肃省地理国情监测工程实验室, ;;地理国情监测技术应用国家地方联合工程研究中心;;甘肃省地理国情监测工程实验室, 兰州;;兰州;;兰州, 甘肃;;甘肃;;甘肃 730700;;730700;;730700, 中国.; 王文辉, 兰州交通大学测绘与地理信息学院;;地理国情监测技术应用国家地方联合工程研究中心;;甘肃省地理国情监测工程实验室, ;;地理国情监测技术应用国家地方联合工程研究中心;;甘肃省地理国情监测工程实验室, 兰州;;兰州;;兰州, 甘肃;;甘肃;;甘肃 730700;;730700;;730700, 中国.; 唐源蔚, 兰州交通大学测绘与地理信息学院;;地理国情监测技术应用国家地方联合工程研究中心;;甘肃省地理国情监测工程实验室, ;;地理国情监测技术应用国家地方联合工程研究中心;;甘肃省地理国情监测工程实验室, 兰州;;兰州;;兰州, 甘肃;;甘肃;;甘肃 730700;;730700;;730700, 中国.
推荐引用方式 GB/T 7714	邱丽莎,何毅,张立峰,等. 祁连山MODIS LST时空变化特征及影响因素分析[J],2020,43(3):726-737.
APA	邱丽莎,何毅,张立峰,王文辉,&唐源蔚.(2020).祁连山MODIS LST时空变化特征及影响因素分析.干旱区地理,43(3),726-737.
MLA	邱丽莎,et al."祁连山MODIS LST时空变化特征及影响因素分析".干旱区地理 43.3(2020):726-737.