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首页> 外文期刊>Vadose zone journal VZJ >Exploring Scale-Specific Controls on Soil Water Content across a 500-Kilometer Transect Using Multivariate Empirical Mode Decomposition
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Exploring Scale-Specific Controls on Soil Water Content across a 500-Kilometer Transect Using Multivariate Empirical Mode Decomposition

机译:使用多元经验模型分解在500公里的横跨500公里的横跨横跨土壤含水量的规模特异性控制

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摘要

Soil water content (SWC) varies both spatially and temporally and is highly controlled by various factors operating at different intensities and scales. In this study, we investigated the scale-specific controls of SWC along a 500-km transect using multivariate empirical mode decomposition (MEMD) at 42 sites. Soil water content and six environmental factors were divided into different intrinsic mode functions (IMFs) and residuals to represent different scales. Different values of IMFs for SWC and environmental factors were obtained throughout the whole profile and within five soil layers (0-1, 1-2, 2-3, 3-4, and 4-5 m). The largest scales (i.e., the scales that explain largest portion of variances) of SWC and environmental factors depended on the soil layer from which SWC was involved in MEMD analysis, and they were 272, 126, 134, 126, 117, and 121 km for soil layers from 0 to 1, 1 to 2, 2 to 3, 3 to 4, 4 to 5, and 0 to 5 m, respectively. The residuals accounted for a majority (33-78.1%) of the variance of the original data. At large scales (&250 km), precipitation and temperature were the controlling factors on SWC, whereas at moderate scales (65 km), elevation and sand were the factors determining SWC. In contrast, at all scales, clay content affected SWC distribution. The scale-specific prediction of SWC on the basis of IMFs and residuals contained more information on environmental factors than the results obtained at the measurement scale. Overall, SWC prediction from IMFs and their residuals were superior to those based on the original data. Using information obtained from MEMD could improve our understanding of the scale-specific characteristics of soil water and environmental factors across a long transect scale.
机译:土壤含水量(SWC)在空间和时间内变化,并且受到不同强度和尺度的各种因素的高度控制。在这项研究中,我们在42个站点在42个位点使用多变量经验模式分解(MEMD)来调查SWC的规模特定控制。土壤含水量和六个环境因子分为不同的内在模式功能(IMF)和残留物,以代表不同的尺度。在整个整体型材中获得不同的SWC和环境因子的不同价值,并在五层土壤层内(0-1,1,1-2,2-3,3-4和4-5米)。 SWC和环境因素的最大尺度(即解释差异最大的尺度)依赖于SWC参与MEMD分析的土壤层,它们为272,126,134,126,117和121公​​里对于0至1,1至2,2至3,3至4,4至5和0至5μm的土壤层。残差占原始数据方差的大多数(33-78.1%)。在大鳞片(& 250公里),降水和温度是SWC的控制因子,而在适度的尺度(65公里),升高和沙子是确定SWC的因素。相比之下,在所有尺度上,粘土内容影响了SWC分布。基于IMF和残差的SWC的规模特异性预测包含了关于环境因素的更多信息,而不是测量标度所获得的结果。总体而言,IMFS及其残差的SWC预测优于基于原始数据的SWC。使用从MEMD获得的信息可以改善我们对长途横梁尺度的规模特定特征的理解。

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  • 来源
    《Vadose zone journal VZJ》 |2018年第1期|共12页
  • 作者单位

    Chinese Acad Sci State Key Lab Loess &

    Quaternary Geol Inst Earth Enivronm Xian 710061 Shaanxi Peoples R China;

    Chinese Acad Sci State Key Lab Loess &

    Quaternary Geol Inst Earth Enivronm Xian 710061 Shaanxi Peoples R China;

    Grad Univ Chinese Acad Sci Beijing 100049 Peoples R China;

    Chinese Acad Sci State Key Lab Soil Eros &

    Dryland Farming Loess P Inst Soil &

    Water Conservat Yangling 712100 Shaanxi Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 天文学、地球科学;
  • 关键词

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