Pedotransfer Functions for Predicting Soil Hydraulic Properties of the Chinese Loess Plateau
文献类型：SCI/SSCI论文
| 作者 | Wang Y. Q. ; Shao M. A. ; Liu Z. P. |
| 发表日期 | 2012 |
| 关键词 | Saturated hydraulic conductivity field capacity multiple linear regression analysis ROSETTA HYPRES artificial neural-network pedo-transfer functions water-retention spatial variability unsaturated soils scale-dependency conductivity parameters |
| 英文摘要 | Soil hydraulic properties play an important role in modelingwater and solute movement within the vadose zone of soils. Direct measurement of hydraulic parameters at a wide range of scales involves considerable time, labor, and money. Pedotransfer functions (PTF) may provide an alternative way of estimating these parameters indirectly from easy-to-measure soil properties. The Loess Plateau of China lacks large databases of hydraulic parameters and also the PTF that could determine them accurately enough for scientists and policy makers to address many of the region's related problems, such as severe soil erosion. In this study, new PTF for saturated hydraulic conductivity (K-s), field capacity, and saturated soil-water content were developed. Multiple linear regression was used to analyze 252 data sets of the hydraulic and basic soil properties, as well as altitude, to derive the PTF. A further 130 data sets were used for validation. The predictive capabilities of the PTF were the best for saturated soil-water content (R-adj(2) = 0.78) and least for log K-s (R-adj(2) = 0.36). Bulk density, soil organic carbon, and soil particle composition were identified as significant input variables for the PTF. The inclusion of a topographic factor (altitude) significantly improved the predictive capability of the PTF for log K-s. Compared with established PTF, the PTF developed in this study predicted the hydraulic parameters more accurately as indicated by higher R-2 and lower RMSE values when predicted, and measured parameter values were compared, and the greatest improvement was obtained for log K-s. The new PTF are the first set of PTF based on data from the Loess Plateau. Their better performance makes them applicable for a variety of purposes in the Plateau region and possibly in other loess regions around the world. |
| 出处 | Soil Science |
| 卷 | 177 |
| 期 | 7 |
| 页 | 424-432 |
| 收录类别 | SCI |
| 语种 | 英语 |
| ISSN号 | 0038-075X |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/30736]  |
| 专题 | 地理科学与资源研究所_历年回溯文献 |
| 推荐引用方式 GB/T 7714 | Wang Y. Q.,Shao M. A.,Liu Z. P.. Pedotransfer Functions for Predicting Soil Hydraulic Properties of the Chinese Loess Plateau. 2012. |
入库方式： OAI收割
来源：地理科学与资源研究所
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