Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1103538
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dc.contributor.authorGREEN, T. R.
dc.contributor.authorERSKINE, R. H
dc.contributor.authorDAVID, O.
dc.contributor.authorKIPKA, H.
dc.contributor.authorLIGHTHART, N.
dc.contributor.authorMcMASTER, G. S.
dc.contributor.authorCRUZ, P. P. N. da
dc.contributor.authorFIGUEIREDO, R. de O.
dc.date.accessioned2019-01-11T23:41:28Z-
dc.date.available2019-01-11T23:41:28Z-
dc.date.created2019-01-10
dc.date.issued2018
dc.identifier.citationIn: WORLD CONGRESS OF SOIL SCIENCE, 21., 2018, Rio de Janeiro. Soil science: beyond food and fuel: abstracts. Viçosa, MG: SBCS, 2018. Trabalho 1014.
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1103538-
dc.descriptionSoil hydraulic properties that control water storage flow rates can vary markedly in space, and surface layers may vary temporally due to management events, reconsolidation and biological activity. Field measurements are expensive to collect and generally reveal complex variability that is difficult to fully characterize. Yet, these soil properties are represented using model parameters that may strongly affect simulated flows and the distribution of soil water in space and time. Thus model calibration using available measurements of soil moisture and surface runoff is essential. Here, we address the level of calibration detail needed to estimate available data by using five levels of spatial complexity in the calibrated soil parameters. Results are also explored to address issues of spatial scaling. Furthermore, a new model component of temporal changes in soil porosity and saturated hydraulic conductivity is tested to simulate effects of tillage and soil consolidation related to rainfall. Interactions between spatial and temporal parameters and processes will be discussed in terms of their influences on simulated soil moisture patterns and surface runoff. Non-uniqueness of the estimated parameter sets is recognized, but further work is needed to better quantify the information content of data needed to infer unique space-time patterns of the estimated soil hydraulic properties.
dc.language.isoporpt_BR
dc.rightsopenAccesspt_BR
dc.subjectSpatial variability
dc.subjectAgricultural watershed
dc.subjectTemporal dynamics
dc.titleThe Agricultural Ecosystems Services (AgES) watershed model is used to estimate the spatial complexity of soil hydraulic properties in a field-scale agricultural watershed, Colorado, USA.
dc.typeResumo em anais e proceedings
dc.date.updated2019-01-30T11:11:11Zpt_BR
dc.subject.nalthesaurussoil hydraulic propertiespt_BR
riaa.ainfo.id1103538
riaa.ainfo.lastupdate2019-01-30 -02:00:00
dc.contributor.institutionTimothy R. Green, USDA-ARS, Center for Agricultural Resources Research, Fort Collins, Colorado, USA; Robert H. Erskine, USDA-ARS, Center for Agricultural Resources Research, Fort Collins, Colorado, USA; Olaf David, Colorado State University, Fort Collins, CO, USA; HOLM KIPKA, Colorado State University, Fort Collins, CO, USA; Nathan Lighthart, Colorado State University, Fort Collins, CO, USA; Gregory S. McMaster, USDA-ARS, Center for Agricultural Resources Research, Fort Collins, Colorado, USA; Patricia Porta Nova da Cruz; RICARDO DE OLIVEIRA FIGUEIREDO, CNPMA.
Aparece nas coleções:Resumo em anais de congresso (CNPMA)

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