Estimating Saturated Hydraulic Conductivity along a South-North Transect in the Loess Plateau of China
文献类型：期刊论文
| 作者 | Yang, Yang1; Jia, Xiaoxu2,3,4; Wendroth, Ole5; Liu, Baoyuan3 |
| 刊名 | SOIL SCIENCE SOCIETY OF AMERICA JOURNAL
 |
| 出版日期 | 2018-09-01 |
| 卷号 | 82期号:5页码:1033-1045 |
| ISSN号 | 0361-5995 |
| DOI | 10.2136/sssaj2018.03.0126 |
| 通讯作者 | Yang, Yang(yang.yang@bnu.edu.cn) |
| 英文摘要 | A 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. |
| WOS关键词 | SOIL PHYSICAL-PROPERTIES ; STATE-SPACE APPROACH ; ARTIFICIAL NEURAL-NETWORKS ; PARTICLE-SIZE DISTRIBUTION ; BULK-DENSITY DATA ; SPATIAL VARIABILITY ; WATER-RETENTION ; PEDOTRANSFER FUNCTIONS ; ORGANIC-CARBON ; WAVELET TRANSFORM |
| 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] ; National Institute of Food and Agriculture, U.S. Dep. of Agriculture Multistate Project[KY006093] |
| WOS研究方向 | Agriculture |
| 语种 | 英语 |
| WOS记录号 | WOS:000446667000004 |
| 出版者 | SOIL SCI SOC AMER |
| 资助机构 | National 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 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/52666]  |
| 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, 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 |
| 推荐引用方式 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. |
入库方式： OAI收割
来源：地理科学与资源研究所
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