Physical basis for a time series model of soil water content

Marc B. Parlange, Gabriel Katul, Richard H. Cuenca, M. Levent Kavvas, Donald R. Nielsen, Michael Mata

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Abstract

A first‐order autoregressive Markovian model AR(1) is formulated on the basis of the hydrologic budget and soil water transport equation. The model predictions compared well with neutron probe measurements of soil moisture content, and the statistical moments were conserved. The applied water events were white noise in structure, and the random shocks generated from the flow dynamics simplifications have a statistical mean of zero and were uncorrelated for all time lags. The derived AR(1) model parameter is used to compute the mean diffusivity of the soil, which is in agreement with reported lab measurements and field estimates obtained from cumulative evaporation measurements made with two large lysimeters.

Original languageEnglish
Pages (from-to)2437-2446
Number of pages10
JournalWater Resources Research
Volume28
Issue number9
DOIs
Publication statusPublished - 1992
Externally publishedYes

Cite this

Parlange, M. B., Katul, G., Cuenca, R. H., Kavvas, M. L., Nielsen, D. R., & Mata, M. (1992). Physical basis for a time series model of soil water content. Water Resources Research, 28(9), 2437-2446. https://doi.org/10.1029/92WR01241