Modeling soil moisture from real-time weather data

dc.contributor.authorOjo, Emmanuel R.
dc.contributor.examiningcommitteeAkinremi, Oluwole (Soil Science) Gulden, Rob (Plant Science)en_US
dc.contributor.supervisorBullock, Paul (Soil Science)en_US
dc.date.accessioned2011-12-21T20:09:51Z
dc.date.available2011-12-21T20:09:51Z
dc.date.issued2011-12-21
dc.degree.disciplineSoil Scienceen_US
dc.degree.levelMaster of Science (M.Sc.)en_US
dc.description.abstractExtreme variability of rainfall during the growing season in the Prairies underlies the need to improve means of quantifying the amount of soil moisture available for plant growth in real time. This study was conducted to modify and validate the Versatile Soil Moisture Budget (VSMB) for estimating volumetric soil water content. A network of soil moisture hydra probes and weather stations were installed for continuous soil moisture monitoring and real-time weather data collection at 13 sites across Central and Western Manitoba during the 2009 and 2010 growing seasons. The data from the probes were validated and calibrated. Both the laboratory and field validations showed that the root mean square error of the default factory calibration increased with increasing clay content of the soil. Outputs from these probes were used to test the modified VSMB model. The model was most effective at simulating soil water content at the surface layers.en_US
dc.description.noteFebruary 2012en_US
dc.identifier.urihttp://hdl.handle.net/1993/5009
dc.language.isoengen_US
dc.rightsopen accessen_US
dc.subjectSoil moistureen_US
dc.subjectFrequency Domain Reflectometryen_US
dc.subjectVersatile Soil Moisture Budgeten_US
dc.subjectWeather Dataen_US
dc.titleModeling soil moisture from real-time weather dataen_US
dc.typemaster thesisen_US
local.subject.manitobayesen_US
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