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Position: Home > Articles > Changes in Surface Temperature of Sandy Soil in Mu Us in Xinxiang and Its Underlying Determinants Journal of Irrigation and Drainage 2022,41 (1) 126-133

2000—2019年毛乌素沙地地表温度演变规律及影响因素分析

作  者:
杨亮彦;石磊;孔辉
单  位:
陕西地建土地工程技术研究院有限责任公司;陕西省土地工程建设集团有限责任公司;自然资源部退化及未利用土地整治工程重点实验室
关键词:
毛乌素沙地;地表温度;气候变化;人类活动
摘  要:
【目的】明晰全球气候变化和退耕还林还草工程实施背景下的毛乌素沙地的地表温度的演变规律及其影响因素。【方法】基于地理空间数据云提供的2000—2015年MOSLT1M中国1 km地表温度和在NASA下载的2016—2019年MODIS/TERRA卫星的MOD11A2地表温度数据集,利用线性回归斜率法对2000—2019年毛乌素沙地的地表温度时空特征进行分析,并探究了地表温度与气候、土地利用类型和植被指数的相关性。【结果】毛乌素沙地的地表温度在空间分布上存在明显差异,从西北到东南逐渐降低,西部高于东部的总体变化趋势,在时间序列上,总体呈下降趋势,下降速率为0.59℃/(10a);毛乌素沙地年均地表温度与气温波动趋势大体一致,二者在2000—2005、2005—2009、2009—2013年时间段均出现先降低后升高的规律,且2003、2012年同为极小值点;地表温度受土地利用类型变化影响较大,不同土地利用类型的地表温度差异明显,建设用地和未利用地的地表温度最高,其次是草地和林地,最后是耕地和水域;地表温度与NDVI的变化趋势呈负相关,决定系数为0.5131;毛乌素沙地的地表温度的时空变化趋势与全球气候变化逐渐变暖的趋势不同,主要原因是人类活动改变了土地利用类型,增加了当地的植被覆盖度。【结论】毛乌素沙地的地表温度时空变化是人类活动和气候变化共同作用的结果,且在2000—2019年,人类活动是主导因素。
译  名:
Changes in Surface Temperature of Sandy Soil in Mu Us in Xinxiang and Its Underlying Determinants
作  者:
YANG Liangyan;SHI Lei;KONG Hui;Shaanxi Provincial Land Engineering Construction Group Co., Ltd;Institute of Land Engineering and Technology, Shaanxi Provincial Land Engineering Construction Group Co., Ltd.;Key Laboratory of Degraded and Unused Land Consolidation Engineering, the Ministry of Natural Resources;
关键词:
Mu Us sandy soil;;soil surface temperature;;climate change;;anthropogenic activities
摘  要:
【Objective】Soil surface temperature is a factor affecting not only surface evaporation but also physical and biogeochemical processes in soil. Its change depends on many factors and varies with both spatial and temporal scales. The aim of this paper is to analyze the evolution of surface temperature of sandy soils at Mu Us in Xinjiang province over the past decades, as well as the impact of climate change and restoration of grassland to forests on it.【Methods】The analysis was based on monthly average temperature in the MOSLT1 M database(China), and the geospatial data, including temperature, taken from MOD11 A2 in the MODIS/TERRA satellite images of NASA. The resolution of all datasets was 1 km. Spatiotemporal changes in the surface temperature from 2000 to 2019 was first analyzed using linear regression slope method, and we then calculated its correlation with climatic factors, land usage and vegetation index.【Results】Spatially, the surface temperature varied erratically but with an average trend of declining from northwest towards southeast. Temporally, the temperature had been in decline at a rate of 0.59 ℃per decade from 2000 to 2019. Changes in annual average and fluctuation of the temperature were consistent. During each of the following three periods: 2000—2005, 2005—2009 and 2009—2013, the average temperature dropped first followed by an increase. Change in land usage had a noticeable impact, with the temperature being the highest on construction land and bare land, the lowest in cultivated land and water body, and that on grassland and forest in between. The temperature was negatively correlated with the trend of NDVI, with a coefficient of determination of 0.513 1. Spatiotemporal variation of the temperature is inconsistent with the change in global warming due to anthropogenic activities such as change in land usage.【Conclusion】The spatiotemporal variation of soil surface temperature from 2000 to 2019 in Mu Us in Xinjiang province is a result of the combined influence of human activities and climate change, with the former being more significant than the latter.

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