Use of a Fractional Brownian Motion Model to Mimic Spatial Horizontal Variation of Soil Physical and Hydraulic Properties Displaying a Power-law Variogram
Procedia Environmental Sciences, ISSN: 1878-0296, Vol: 19, Page: 416-425
2013
- 3Citations
- 15Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations3
- Citation Indexes3
- CrossRef3
- Captures15
- Readers15
- 15
Article Description
Stochastic analysis of flow and mass transport in soil, usually assumes that soil hydraulic properties are stationary homogeneous stochastic processes with a finite variance. Some field data suggest that soil hydraulic distributions may have a fractal character with long-range correlations. In this study new field soil hydraulic data-sets, measured along transects of an Andosol and a Vertic-Fluvent soil, were analyzed for fractal behavior using a stochastic fractal function such as fractional Brownian motion (fBm) and power-law variogram fits to estimate the monofractal Hurst exponent H as a measure of self-similarity. Our analysis lend further support to the hypothesis that horizontal processes, that mimic fBm, will display a power-law variogram.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S1878029613003186; http://dx.doi.org/10.1016/j.proenv.2013.06.048; https://linkinghub.elsevier.com/retrieve/pii/S1878029613003186; https://dul.usage.elsevier.com/doi/; https://api.elsevier.com/content/article/PII:S1878029613003186?httpAccept=text/xml; https://api.elsevier.com/content/article/PII:S1878029613003186?httpAccept=text/plain; https://dx.doi.org/10.1016/j.proenv.2013.06.048
Elsevier BV
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