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Dynamic monitoring of aeolian desertification based on multiple indicators in Horqin Sandy Land, China

机译:基于Horqin Sandy Land的多元指标的Aeolian荒漠化动态监测

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摘要

Aeolian desertification has become one of the most serious environmental and socioeconomic problems facing the world today. Quantitative remote sensing technology is an important means to achieve the development trends of aeolian desertified land (ADL). To compensate for the shortcomings in the time scale of Landsat Thematic Mapper and other high-spatial-resolution remote sensing data, this study introduces Moderate Resolution Imaging Spectroradiometer time series data and products to invert the monitoring indicators of ADL The QUEST (quick, unbiased, and efficient statistical tree) classification method was used to establish the extraction model of ADL based on multiple indicators. The ADL time series dataset was extracted from 2000 to 2015, and the characteristics of ADL and its spatial-temporal dynamics were analyzed. These results were combined with meteorological data and socioeconomic statistics to discuss the main factors influencing ADL The results showed that, by the end of 2015, the total area of ADL was 32,633 km~2, accounting for 26.02% of the study area. The slight, moderate, severe, and extremely severe ADL accounted for 51.39%, 34.11%, 10.31 %, and 4.20%, respectively. The total area of ADL decreased significantly at a rate of 2388.60 km~2 y ~(-1) from 2000 to 2015. The decreasing area was dominated by the slight and moderate ADL The reversal of ADL exhibited significant correlations with an increase of annual precipitation and a decrease of annual maximum wind velocity (p < 0.01). The impact of annual maximum wind velocity on ADL is more important than annual precipitation. Increases in population density and the number of livestock did not promote the development of ADL A series of ecological protection projects and policies created advantageous conditions for the reversal of ADL This research provides a new method for monitoring ADL and useful information for controlling and managing aeolian desertification in this region.
机译:Aeolian荒漠化已成为当今世界面临的最严重的环境和社会经济问题之一。定量遥感技术是实现Aeolian Dearing Darage(ADL)发展趋势的重要手段。为了弥补LANDSAT主题映射器和其他高空间分辨率遥感数据的时间规模的缺点,本研究推出了适度的分辨率成像光谱辐射计时间序列数据和产品,以反转ADL的监控指标(快速,无偏见,和有效的统计树)分类方法用于基于多个指示器建立ADL的提取模型。 ADL时间序列数据集已从2000至2015中提取,分析了ADL及其空间动态的特征。这些结果与气象数据和社会经济统计数据相结合,讨论了影响ADL的主要因素结果表明,到2015年底,ADL的总面积为32,633 km〜2,占研究区域的26.02%。轻微,中度,严重,极度严重的ADL分别占51.39%,34.11%,10.31%和4.20%。 ADL的总面积以2000至2015年的2388.60 km〜2 y〜(-1)的速度显着下降。降低区域由轻微和中度Adl占据主导,ADL的逆转与年降水量的增加表现出显着的相关性减少年度最大风速(P <0.01)。年度最大风速对ADL的影响比年降水更重要。人口密度的增加和牲畜数量没有促进ADL的发展,一系列生态保护项目和政策为ADL的逆转创造了有利条件本研究提供了一种监控ADL和控制和管理Aeolian荒漠化的有用信息的新方法在这个地区。

著录项

  • 来源
    《The Science of the Total Environment》 |2019年第2期|2374-2388|共15页
  • 作者单位

    Key Laboratory of Desert and Desertification Northwest Institute of Eco-Environment and Resources Chinese Academy of Sciences Lanzhou 730000 China;

    Key Laboratory of Desert and Desertification Northwest Institute of Eco-Environment and Resources Chinese Academy of Sciences Lanzhou 730000 China;

    Key Laboratory of Desert and Desertification Northwest Institute of Eco-Environment and Resources Chinese Academy of Sciences Lanzhou 730000 China;

    Key Laboratory of Desert and Desertification Northwest Institute of Eco-Environment and Resources Chinese Academy of Sciences Lanzhou 730000 China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Aeolian desertified land (ADL); Time series; Spatial-temporal dynamics; Driving factors; Horqin Sandy Land;

    机译:Aeolian Searingified Land(ADL);时间序列;空间动态;驱动因素;哈尔沁沙地;

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