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首页> 外文期刊>Soil Science Society of America Journal >Revealing the Controls of Soil Water Storage at Different Scales in a Hummocky Landscape
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Revealing the Controls of Soil Water Storage at Different Scales in a Hummocky Landscape

机译:揭示山丘景观不同尺度下土壤蓄水的控制

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Soil water storage is controlled by topography, soil texture, vegetation, water routing processes, and the depth to the water table. Interactions among these factors may give rise to scale-dependent nonstationary and nonlinear patterns in soil water storage. The objectives of this study were to identify the dominant scales of variation of nonstationary and nonlinear soil water storage and delineate the dominant controls at those scales in a hummocky landscape using the Hilbert-Huang transform (HHT). Soil water storage (up to 140 cm) was measured along a 128-point transect established at St. Denis National Wildlife Area, Saskatchewan, Canada, using time domain reflectometry and a neutron probe. Empirical mode decomposition was used to decompose the measured soil water storage series into six different intrinsic mode functions (IMFs) according on their characteristic scales. The first IMF represented the variations at small scales, the second IMF might characterize the variations associated with microtopography and the landform elements. The IMF 3 was highly correlated with elevation and had the largest variance contribution toward the total variance among all the IMFs. The fourth IMF was correlated to organic C (OC), showing the long-term history of water availability, which may be a reflection of topographic setting or the elevation. The fift h and sixth IMFs were associated with elevation, soil texture, and OC but they contributed a small fraction of the total variance. Therefore, decomposition made through HHT was physically meaningful and provided improved prediction of soil water storage from topography, soil texture, and OC.
机译:土壤水的储存受地形,土壤质地,植被,水流过程和地下水位的深度控制。这些因素之间的相互作用可能会导致土壤蓄水中尺度依赖的非平稳和非线性模式。这项研究的目的是确定非平稳和非线性土壤水储量变化的主要尺度,并使用希尔伯特-黄变换(HHT)描绘出在丘陵景观中这些尺度的主要控制。使用时域反射仪和中子探针,沿着加拿大萨斯喀彻温省圣丹尼斯国家野生动物保护区建立的128点样点测量了土壤蓄水量(最大140厘米)。根据经验模态分解,可将测量的土壤储水量级数根据其特征尺度分解为六个不同的固有模式函数(IMF)。第一个IMF代表了小规模的变化,第二个IMF可能表征了与微形貌和地形要素有关的变化。 IMF 3与海拔高度相关,并且在所有IMF中对总方差的贡献最大。第四个IMF与有机碳(OC)相关,显示了长期的水供应历史,这可能反映了地形设置或海拔高度。第五个和第六个IMF与海拔,土壤质地和OC有关,但它们贡献了总方差的一小部分。因此,通过HHT进行分解具有物理意义,并且可以从地形,土壤质地和OC方面更好地预测土壤储水量。

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