Fractal behavior of soil water storage at multiple depths
| Autor: | Asim Biswas, Henry Wai Chau, Wenjun Ji, H. P. Cresswell, Mi Lin, Bingcheng Si |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
010504 meteorology & atmospheric sciences
lcsh:QC801-809 Soil science 04 agricultural and veterinary sciences Vegetation 15. Life on land 01 natural sciences 6. Clean water lcsh:QC1-999 lcsh:Geophysics. Cosmic physics Snowmelt Soil water Vadose zone 040103 agronomy & agriculture 0401 agriculture forestry and fisheries Environmental science Soil horizon Spatial variability lcsh:Q lcsh:Science Scaling Water content lcsh:Physics 0105 earth and related environmental sciences |
| Zdroj: | Nonlinear Processes in Geophysics, Vol 23, Iss 4, Pp 269-284 (2016) |
| ISSN: | 1607-7946 1023-5809 |
| Popis: | Spatio-temporal behavior of soil water is essential to understand the science of hydrodynamics. Data intensive measurement of surface soil water using remote sensing has established that the spatial variability of soil water can be described using the principle of self-similarity (scaling properties) or fractal theory. This information can be used in determining land management practices provided the surface scaling properties hold at deep layer. Current study examined the scaling properties of sub-surface soil water and its relationship to surface soil water, thereby serving as the supporting information for the plant root and vadose zone models. Soil water storage (SWS) down to 1.4 m depth at seven equal intervals was measured along a transect of 576 m for 5 years. The surface SWS showed multifractal nature only during the wet period (from snowmelt until mid to late June with large SWS) indicating the need of multiple scaling indices in transferring soil water variability information over multiple scales. However, with increasing depth, the SWS became monofractal in nature indicating the need of single scaling index to upscale/downscale soil water variability information. The dynamic nature made the surface layer soil water in the wet period highly variable compared to the deep layers. In contrast, all soil layers during the dry period (from late June to the end of the growing season with low SWS) were monofractal in nature, probably resulting from the high evapotranspirative demand of the growing vegetation that surpassed other effects. This strong similarity between the scaling properties at the surface layer and deep layers provides the possibility of inferring about the whole profile soil water dynamics using the scaling properties of the easy-to-measure surface SWS data. |
| Databáze: | OpenAIRE |
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