Modeling soil water dynamics considering measurement uncertainty

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dc.contributor.author Kisekka, Isaya
dc.contributor.author Migliaccio, K. W.
dc.contributor.author Muñoz-Carpena, R.
dc.contributor.author Schaffer, B.
dc.contributor.author Khare, Y.
dc.date.accessioned 2015-03-06T20:06:19Z
dc.date.available 2015-03-06T20:06:19Z
dc.date.issued 2015-03-06
dc.identifier.uri http://hdl.handle.net/2097/18866
dc.description.abstract In shallow water table controlled environments, surface water management impacts groundwater table levels and soil water dynamics. The study goal was to simulate soil water dynamics in response to canal stage raises considering uncertainty in measured soil water content. WAVE (Water and Agrochemicals in the soil, crop and Vadose Environment) was applied to simulate unsaturated flow above a shallow aquifer. Global sensitivity analysis was performed to identify model input factors with greatest influence on predicted soil water content. Nash-Sutcliffe increased and Root Mean Square Error reduced when uncertainties in measured data were considered in goodness-of-fit calculations using measurement probability distributions and probable asymmetric error boundaries; implying that appropriate model performance evaluation should be done using uncertainty ranges instead of single values. Although uncertainty in the experimental measured data limited evaluation of the absolute predictions by the model, WAVE was found a useful exploratory tool for estimating temporal variation in soil water content. Visual analysis of soil water content time series under proposed changes in canal stage management indicated that sites with land surface elevation of less than 2.0 m NGVD29 were predicted to periodically experience saturated conditions in the root zone and shortening of the growing season if canal stage is raised more than 9 cm and maintained at this level. The models developed could be combined with high resolution digital elevation models in future studies to identify areas with the greatest risk of experiencing saturated root zone. The study also highlighted the need to incorporate measurement uncertainty when evaluating performance of unsaturated flow models. en_US
dc.language.iso en_US en_US
dc.relation.uri http://onlinelibrary.wiley.com/doi/10.1002/hyp.10173/abstract en_US
dc.rights This is the peer reviewed version of the following article: Kisekka, I., Migliaccio, K. W., Muñoz-Carpena, R., Schaffer, B., & Khare, Y. (2015). Modelling soil water dynamics considering measurement uncertainty. Hydrological Processes 29(5), 692-711., which has been published in final form at http://onlinelibrary.wiley.com/doi/10.1002/hyp.10173/abstract en_US
dc.subject Soil water en_US
dc.subject Measurement uncertainty en_US
dc.subject Vadose zone en_US
dc.subject WAVE en_US
dc.subject Root zone saturation en_US
dc.title Modeling soil water dynamics considering measurement uncertainty en_US
dc.type Article (author version) en_US
dc.date.published 2015 en_US
dc.citation.doi doi:10.1002/hyp.10173 en_US
dc.citation.epage 711 en_US
dc.citation.issue 5 en_US
dc.citation.jtitle Hydrological Processes en_US
dc.citation.spage 692 en_US
dc.citation.volume 29 en_US
dc.contributor.authoreid ikisekka en_US


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