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Noise-Assisted Multivariate Empirical Mode Decomposition of Saturated Hydraulic Conductivity along a South-North Transect across the Loess Plateau of China

文献类型：期刊论文

作者Yang, Yang1,2; Jia, Xiaoxu3,4,5; Wendroth, Ole6; Liu, Baoyuan2; Shi, Yangzi1,2; Huang, Tingting1,2; Bai, Xue1,2
刊名SOIL SCIENCE SOCIETY OF AMERICA JOURNAL
出版日期2019-03-01
卷号83期号:2页码:311-323
ISSN号0361-5995
DOI10.2136/sssaj2018.11.0438
通讯作者Yang, Yang(yang.yang@bnu.edu.cn)
英文摘要Saturated hydraulic conductivity (K-s) usually varies at multiple scales in space, as affected by different soil and environmental processes operating at diverse scales. Identifying spatial process relationships can be challenging due to overlapping of underlying processes at different scales. The objective of this study was to evaluate noise-assisted multivariate empirical mode decomposition (NA-MEMD) for characterizing Ks variability and depicting its scale-dependent relationships with different soil properties and environmental factors. At an interval of 10 km along an 860-km south-north transect across the Loess Plateau of China, Ks, bulk density, soil organic carbon content, sand and clay contents at three depths of 0 to 10, 10 to 20 and 20 to 40 cm were investigated as well as four environmental factors of elevation, slope gradient, annual precipitation and temperature. Decomposed into different intrinsic mode functions (IMFs) and residues by NA-MEMD, Ks at all depths were found to vary at the smallest scale of 29 km mainly, corresponding to IMF1s, which manifested 33.0 to 48.1% of the total Ks variance. The small-scale variations of Ks reflected not only in IMF1s but also in IMF2s and IMF3s were dominated by soil properties especially bulk density, and the large-scale variations corresponding to IMF4s and IMF5s were controlled by environmental factors in general. For each depth, Ks at the scale of investigation was estimated by adding all the IMFs and residue derived from the factor components at equivalent scales using multiple linear regression (MLR). Such Ks estimations after NA-MEMD evidently outperformed the MLR before NA-MEMD by explaining additional 9.4 to 18.7% of the total Ks variance, but underper-formed the artificial neural network and state-space approach also implemented on undecomposed spatial series of Ks and its underlying factors. NA-MEMD serves as a useful tool for Ks characterization and its incorporation with non-linear functions or spatial interactions with impact factors is suggested for the estimation of Ks and other soil processes.
WOS关键词SOIL PHYSICAL-PROPERTIES ; SPATIAL-PATTERNS ; SCALE ; WATER ; CLASSIFICATION
资助项目National Natural Science Foundation of China[41571130082] ; National Natural Science Foundation of China[41601277] ; State Key Laboratory of Earth Surface Processes and Resource Ecology[2017-ZY-09] ; USDA National Institute of Food and Agriculture, Multistate Project[KY006093]
WOS研究方向Agriculture
语种英语
出版者SOIL SCI SOC AMER
WOS记录号WOS:000466157500005
资助机构National Natural Science Foundation of China ; State Key Laboratory of Earth Surface Processes and Resource Ecology ; USDA National Institute of Food and Agriculture, Multistate Project
源URL[http://ir.igsnrr.ac.cn/handle/311030/59533]  
专题中国科学院地理科学与资源研究所
通讯作者Yang, Yang
作者单位1.Beijing Normal Univ, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China
2.Beijing Normal Univ, Sch Geog, Fac Geog Sci, Beijing 100875, Peoples R China
3.Chinese Acad Sci, Inst Geog Sci & Nat Resour Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China
4.Northwest A&F Univ, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling 712100, Shaanxi, Peoples R China
5.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100190, Peoples R China
6.Univ Kentucky, Dept Plant & Soil Sci, Lexington, KY 40546 USA
推荐引用方式
GB/T 7714		 Yang, Yang,Jia, Xiaoxu,Wendroth, Ole,et al. Noise-Assisted Multivariate Empirical Mode Decomposition of Saturated Hydraulic Conductivity along a South-North Transect across the Loess Plateau of China[J]. SOIL SCIENCE SOCIETY OF AMERICA JOURNAL,2019,83(2):311-323.
APA Yang, Yang.,Jia, Xiaoxu.,Wendroth, Ole.,Liu, Baoyuan.,Shi, Yangzi.,...&Bai, Xue.(2019).Noise-Assisted Multivariate Empirical Mode Decomposition of Saturated Hydraulic Conductivity along a South-North Transect across the Loess Plateau of China.SOIL SCIENCE SOCIETY OF AMERICA JOURNAL,83(2),311-323.
MLA Yang, Yang,et al."Noise-Assisted Multivariate Empirical Mode Decomposition of Saturated Hydraulic Conductivity along a South-North Transect across the Loess Plateau of China".SOIL SCIENCE SOCIETY OF AMERICA JOURNAL 83.2(2019):311-323.

入库方式： OAI收割

来源：地理科学与资源研究所

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