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United States Department of Agriculture

Agricultural Research Service

Research Project: Effects of Agricultural Water Management and Land Use Practices on Regional Water Quality Title: Effects of soil hydraulic and transport parameter uncertainty on predictions of solute transport in large lysimeters

Authors
item Skaggs, Todd
item Suarez, Donald
item Suarez, Donald
item Goldberg, Sabine

Submitted to: Vadose Zone Journal
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: December 21, 2012
Publication Date: February 15, 2013
Repository URL: http://www.ars.usda.gov/SP2UserFiles/Place/53102000/pdf_pubs/P2416.pdf
Citation: Skaggs, T.H., Suarez, D.L., Goldberg, S.R. 2013. Effects of soil hydraulic and transport parameter uncertainty on predictions of solute transport in large lysimeters. Vadose Zone Journal. doi:10.2136/vzj2012.0143.

Interpretive Summary: Maintaining agricultural productivity in irrigated lands requires that salts introduced by irrigation be periodically leached from soils. Several recent studies have suggested that classical guidelines for salinity management overestimate the leaching requirement as well as the negative impacts of irrigating with moderately saline waters. Accordingly, the traditional guidelines possibly encourage over-irrigation, which wastes water and increases contaminant transport to groundwater. Advanced computer simulation models can help improve water management, but the uncertainties in their predictions must be assessed. In this work, we used probabilistic techniques to generate confidence intervals for computer model projections of salt leaching in soils. The work will help researchers develop improved guidelines for irrigation and salinity management.

Technical Abstract: Advanced numerical simulation models can potentially help improve guidelines for irrigation and salinity management. Many simulation model parameters have considerable uncertainty, and ideally that uncertainty should be reflected in model predictions and recommendations. In this work, we investigate solute transport predication intervals that can be generated by propagating model parameter uncertainty using Monte Carlo techniques. Flow and transport is simulated with a standard numerical model, while soil parameters and their uncertainty are estimated with pedotransfer functions. Generalized global sensitivity coefficients are computed to determine the parameters having the greatest impact on transport prediction and uncertainty. Simulations are compared with Br transport measured under unsaturated conditions in large lysimeters packed with clayey soil materials. In a 48 cm tall, homogeneous soil profile, model prediction intervals provided a reasonably good description of a single, relatively “noisy” breakthrough curve. In replicated 180 cm tall, layered soil profiles, model structural errors limited the accuracy of the prediction intervals under one irrigation water treatment, whereas under another treatment the predictions tracked the time course of the data reasonably well but tended to overestimate solute concentrations. The width of the prediction intervals tended to be small relative to the range of transport variability that existed across replicated lysimeters, particularly at shallow depths. Additional work aimed at operational field testing of model prediction uncertainty is needed if advanced water management models are to reach their full potential.

Last Modified: 10/22/2014
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