黄河源永曲河流域地表温度与土地覆盖的时空变化特征分析
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Q948; TP75; P237;

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青海省科技厅基金项目(2021-ZJ-743);国家自然科学基金(42161068);甘肃省祁连山生态环境研究中心开放基金项目(QLS202007)


Analysis on the Characteristics of Temporal and Spatial Changes of Surface Temperature and Land Cover in Yongqu River Basin at the Source of the Yellow River
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    摘要:

    为明确黄河源地区地表温度变化特征及其影响因素,以永曲河流域为例,利用2008年、2020年landsat数据,通过辐射传输法反演地表温度,分析地表温度的时空变化特征及其与土地覆盖类型、地形因子和归一化植被指数之间的相互关系。研究结果表明:(1)2008~2020年,永曲河流域地表平均温度由24.330℃上升至24.592 ;(2)地表温度具有显著的地形分异特征,与海拔高度呈现负相关关系,高海拔地区尤为显著。地表温度随坡度增加而降低,按平缓坡、阳坡、半阳坡,半阴坡、阴坡的顺序,地表温度逐渐降低;(3)不同土地覆盖类型的地表温度差异较明显,草地的地表温度较高,小灌木丛较低,平均地表温度相差4.688 ;(4)地表温度与NDVI呈正相关关系,且自西向东相关性逐渐增强。

    Abstract:

    In order to clarify the characteristics of surface temperature changes and its influencing factors in the source area of ??the Yellow River, taking the Yongqu River Basin as an example, based on the landsat data in 2008 and 2020, the surface temperature was retrieved by the radiation transfer method, and the time and space of the surface temperature were analyzed and discussed. Change characteristics and their correlation with land cover types, topographic factors, and normalized vegetation index. The research results show that: (1) From 2008 to 2020, the surface temperature of the Yongqu River Basin increased, and the average temperature rose from 24.330°C to 24.592°C. (2) The influence of terrain factors on surface temperature and NDVI has significant spatial differentiation, that is, surface temperature, NDVI and altitude show a negative correlation. As altitude increases, both surface temperature and NDVI show a downward trend. And the negative correlation between the two is more significant in high-altitude areas; surface temperature and NDVI decrease with the increase of slope; slope aspect also has a certain impact on surface temperature and NDVI, In the order of gentle slope, sunny slope, semi-sun slope semi-shady slope and shady slope, the surface temperature and NDVI gradually decrease, and there is a big difference between the surface temperature and NDVI of the sunny slope and the shady slope. (3) The difference between the surface temperature and NDVI of different land cover types is also obvious. The surface temperature and NDVI value of grassland are higher, and the value of small shrubs is lower. The maximum temperature and NDVI differ by 4.688°C and 0.035 respectively. (4) The regression coefficients of surface temperature and NDVI in the GWR model are positive, indicating that NDVI has a positive effect on the surface temperature; the degree of fitting of the GWR model shows a trend of gradually increasing from west to east.

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丁圆圆,赵健赟,杨静,等. 黄河源永曲河流域地表温度与土地覆盖的时空变化特征分析[J]. 科学技术与工程, 2022, 22(7): 2592-2600.
Ding Yuanyuan, Zhao Jianyun, Yang Jing, et al. Analysis on the Characteristics of Temporal and Spatial Changes of Surface Temperature and Land Cover in Yongqu River Basin at the Source of the Yellow River[J]. Science Technology and Engineering,2022,22(7):2592-2600.

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  • 收稿日期:2021-06-15
  • 最后修改日期:2021-08-31
  • 录用日期:2021-07-26
  • 在线发布日期: 2022-03-16
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