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干旱区地理 >

2023 , Vol. 46 >Issue 8: 1250 - 1259

DOI: https://doi.org/10.12118/j.issn.1000-6060.2022.522

气候与水文

黄河源区夏季地表温度变化研究

  • 唐太斌 ,
  • 周保 ,
  • 金晓媚 ,
  • 魏赛拉加 ,
  • 马涛 ,
  • 张永艳
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  • 1.青海省地质环境监测总站，青海 西宁 810008
    2.中国地质大学（北京）水资源与环境学院，北京 100083
唐太斌（1995-），男，工程师，主要从事冰川冻土等方面的研究. E-mail: 2435729762@qq.com

收稿日期: 2022-10-14

  修回日期: 2022-12-08

  网络出版日期: 2023-09-21

基金资助

青海省科技厅应用基础研究项目(2021-ZJ-T08)

收起

Change of surface temperature in the source area of the Yellow River in summer

  • Taibin TANG ,
  • Bao ZHOU ,
  • Xiaomei JIN ,
  • Sailajia WEI ,
  • Tao MA ,
  • Yongyan ZHANG
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  • 1. Qinghai Geological Environmental Monitoring Station, Xining 810008, Qinghai, China
    2. China University of Geosciences Beijing, School of Water Resources and Environment, Beijing 100083, China

Received date: 2022-10-14

  Revised date: 2022-12-08

  Online published: 2023-09-21

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摘要

利用较高空间分辨率的Landsat卫星数据，以覃志豪单窗算法反演黄河源区1990—2018年（间隔3~5 a）的夏季（7月或8月）地表温度，并对反演结果进行相关性分析。结果表明：（1）黄河源区夏季地表温度平均值与MODIS地表温度产品的平均值相关系数不高，约为0.5，主要原因是Landsat数据与MODIS产品的空间分辨率不一致。（2）水体的地表温度基本保持不变，其他地物的地表温度均呈现上升趋势，冰川的地表温度升高最快。（3）黄河源区各年份地表温度与高程存在明显的负相关关系，相关系数平均值为-0.65。（4）空间上，黄河源区地表温度值与土壤湿度值的空间分布存在负相关关系。（5）在气候因素中，降水与地表温度存在明显的负相关关系，其相关系数小于-0.5的区域约占整个源区面积的70%。

关键词： 黄河源区; 地表温度; 遥感反演; 变化特征; 影响因素

本文引用格式

唐太斌 , 周保 , 金晓媚 , 魏赛拉加 , 马涛 , 张永艳 . 黄河源区夏季地表温度变化研究[J]. 干旱区地理, 2023 , 46(8) : 1250 -1259 . DOI: 10.12118/j.issn.1000-6060.2022.522

Abstract

Using Landsat satellite data with high spatial resolution, the Qin Zhihao mono window algorithm was used to retrieve the summer (July or August) surface temperature in the source area of the Yellow River from 1990 to 2018 (with an interval of 3-5 years), and correlation analysis was conducted on the retrieval results. The results show that: (1) The correlation coefficient between the average retrieved surface temperature and the average MODIS surface temperature product is not high, about 0.5, mainly due to the inconsistent spatial resolution between Landsat data and MODIS products. (2) The surface temperature of water remains basically unchanged, while the surface temperature of other features shows an upward trend, with glaciers experiencing the fastest increase in surface temperature. (3) There is a significant negative correlation between surface temperature and elevation in the source area of the Yellow River in various years, with an average correlation coefficient of -0.65. (4) In terms of space, there is a negative correlation between the spatial distribution of surface temperature values and soil moisture values in the source area of the Yellow River. (5) Among climate factors, there is a significant negative correlation between precipitation and surface temperature, with regions with a correlation coefficient less than -0.5 accounting for 70% of the entire source area.

Key words： the source area of the Yellow River; surface temperature; remote sensing retrieval; changing characteristics; controlling factors

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