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Estimating Saturated Hydraulic Conductivity along a South-North Transect in the Loess Plateau of China
Yang, Yang1; Jia, Xiaoxu2,3,4; Wendroth, Ole5; Liu, Baoyuan3
2018-09-01
Source PublicationSOIL SCIENCE SOCIETY OF AMERICA JOURNAL
ISSN0361-5995
Volume82Issue:5Pages:1033-1045
Corresponding AuthorYang, Yang(yang.yang@bnu.edu.cn)
AbstractA precise description of saturated hydraulic conductivity (K-s) and its spatial variability is required for modeling soil and water transport in the vadose zone. Nevertheless, the direct measurement of K-s is expensive and laborious especially for large domains crossing hundreds of kilometers. The objective was to estimate K-s from easily accessible soil properties and environmental factors using pedotransfer functions (PTFs) and state-space analysis. Along an 860-km south-north transect in the Loess Plateau of China, soil cores for K-s measurements were collected at depths of 0 to 10, 10 to 20, and 20 to 40 cm at 10-km intervals from 15 Apr. to 15 May 2013. Multiple linear regression (MLR) and artificial neural network (ANN) were used to derive PTFs for K s estimation. Based on the eight factors of bulk density, soil organic carbon, sand content, clay content, mean annual precipitation and temperature, slope gradient and elevation, the state-space analysis appeared to outperform the PTFs in calibrating K-s over the entire transect. The adjusted coefficients of determination (Radj(2)) for the state-space models were all greater than 0.9, whereas the corresponding Radj(2) were much lower for the MLR- and ANN-type PTFs (ranging from 0.398 to 0.880). However, the state-space approach is quite scale-sensitive, and overfitting occurred when it was cross-validated with a leave-one-out procedure. It performed almost perfectly in calibration as implied in the Radj(2) of similar to 1 but rather poorly in validation with Radj(2) typically >0.4. The ANN method exhibited the best K-s estimations at all depths. Both wavelet coherency and state-space modeling quantified the spatial correlations of K-s with the eight factors investigated and manifested consistent results, that is, bulk density, clay content, and topography were the primary properties controlling K-s distribution. These findings are critical for hydrological modeling and irrigation management in the Loess Plateau of China and possibly other arid and semi-arid regions.
DOI10.2136/sssaj2018.03.0126
WOS KeywordSOIL PHYSICAL-PROPERTIES ; STATE-SPACE APPROACH ; ARTIFICIAL NEURAL-NETWORKS ; PARTICLE-SIZE DISTRIBUTION ; BULK-DENSITY DATA ; SPATIAL VARIABILITY ; WATER-RETENTION ; PEDOTRANSFER FUNCTIONS ; ORGANIC-CARBON ; WAVELET TRANSFORM
Indexed BySCI
Language英语
Funding ProjectNational 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] ; National Institute of Food and Agriculture, U.S. Dep. of Agriculture Multistate Project[KY006093]
Funding OrganizationNational Natural Science Foundation of China ; State Key Laboratory of Earth Surface Processes and Resource Ecology ; National Institute of Food and Agriculture, U.S. Dep. of Agriculture Multistate Project
WOS Research AreaAgriculture
WOS SubjectSoil Science
WOS IDWOS:000446667000004
PublisherSOIL SCI SOC AMER
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/52667
Collection中国科学院地理科学与资源研究所
Corresponding AuthorYang, Yang
Affiliation1.Beijing Normal Univ, Fac Geog Sci, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China
3.Northwest A&F Univ, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling 712100, Shaanxi, Peoples R China
4.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100190, Peoples R China
5.Univ Kentucky, Dept Plant & Soil Sci, Lexington, KY 40546 USA
Recommended Citation
GB/T 7714
Yang, Yang,Jia, Xiaoxu,Wendroth, Ole,et al. Estimating Saturated Hydraulic Conductivity along a South-North Transect in the Loess Plateau of China[J]. SOIL SCIENCE SOCIETY OF AMERICA JOURNAL,2018,82(5):1033-1045.
APA Yang, Yang,Jia, Xiaoxu,Wendroth, Ole,&Liu, Baoyuan.(2018).Estimating Saturated Hydraulic Conductivity along a South-North Transect in the Loess Plateau of China.SOIL SCIENCE SOCIETY OF AMERICA JOURNAL,82(5),1033-1045.
MLA Yang, Yang,et al."Estimating Saturated Hydraulic Conductivity along a South-North Transect in the Loess Plateau of China".SOIL SCIENCE SOCIETY OF AMERICA JOURNAL 82.5(2018):1033-1045.
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