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Spatial characterization of scaled hydraulic conductivity functions in the internal drainage process leading to tropical semiarid soil management

文献类型： 外文期刊

作者： Li, Hong 1 ; Bielder, Charles 4 ; Payne, William A. 5 ; Li, Tingxian 6 ;

作者机构： 1.Chinese Acad Trop Agr Sci, Environm & Plant Protect Inst, Haikou 571101, Hainan, Peoples R China

2.Chinese Agr Minist, Danzhou Sci Observat & Agroenvironm Expt Stn, Danzhou 571737, Hainan, Peoples R China

3.Texas A&M Univ, Agrilife Ctr, Amarillo, TX 79012 USA

4.Catholic Univ Louvain, Dept Environm Sci & Land Use Planning, B-1348 Louvain, Belgium

5.Texas A&M Univ, Int Res Ctr, College Stn, TX 79012 USA

6.Minist Environm Pk & Sustainable Dev Quebec, Sustainable Dev Serv, Quebec City, PQ G1R 5V7, Canada

关键词： Ceostatistics;CIS mapping;Nested sampling grid approach;Soil water movement;Topography;Water management zone

期刊名称：JOURNAL OF ARID ENVIRONMENTS （ 影响因子：2.211； 五年影响因子：2.684 ）

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收录情况： SCI

摘要： Knowledge of water movement is critical to agricultural water use. An internal drainage experiment for assessing downward movement of soil water under the influence of gravity was conducted on a semiarid sandy soil at ICRISAT-Sadore in Niger. The objectives were to estimate unsaturated hydraulic conductivity functions K(θ) at multiple scales using soil water (θ) data determined over the drainage process, and to determine spatial characteristics of K(θ) functions for water management in the semiarid environment. The study site was a naturally rolling field and the soil was a sandy Labucheri soil series. The experimental design consisted of a nested grid with three scales, 1 × 1-m, 5 × 5-m and 20 × 20-m, using 182 neutron access tubes. Soil water movement in space was examined in the 0.15-1.50 m depth throughout the drainage course. Mean soil water downward movement varied between 0.029-1379 mm h~(-1), depending on water content and soil depth. Elevation features contributed to 16-40% of the variation in hydraulic conductivity functions (K(θ) = e·θ~f). The best fit for K(θ)-model coefficients was a normal distribution and K(θ) functions were correlated at the three scales (0.81≤ R~2 ≤ 0.96, P ＜ 0.01). The scaled K(θ) functions were auto-correlated in space within 25-60 m. Management zones based on geostatistical semivariograms and interpolated map patterns were practical for water management planning in the naturally rolling environments.

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