Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 411369
Title Influence of spatial variations of microtopography and infiltration on surface runoff and field scale hydrological connectivity
Author(s) Appels, W.M.; Bogaart, P.W.; Zee, S.E.A.T.M. van der
Source Advances in Water Resources 34 (2011)2. - ISSN 0309-1708 - p. 303 - 313.
DOI http://dx.doi.org/10.1016/j.advwatres.2010.12.003
Department(s) Soil Physics, Ecohydrology and Groundwater Management
Hydrology and Quantitative Water Management
WIMEK
Publication type Refereed Article in a scientific journal
Publication year 2011
Keyword(s) depression-storage capacity - overland-flow generation - tilled soil surfaces - water contamination - roughness - phosphorus - model - approximation - conductivity - variability
Abstract Surface runoff on agricultural fields arises when rainfall exceeds infiltration. Excess water ponding in and flowing through local microtopography increases the hydrological connectivity of fields. In turn, an increased level of hydrological connectivity leads to a higher surface runoff flux at the field boundaries. We investigated the functional hydrological connectivity of synthetical elevation fields with varying statistical properties. For this purpose, we developed an object-oriented ponding and redistribution model to which Philip’s infiltration model was coupled. The connectivity behaviour is determined by the presence of depressions with a large area and spatial organization of microtopography in rills or channels. The presence of microdepressions suppresses the effect of the spatial variation of infiltration properties. Connectivity behaviour of a field with a varying spatial distribution of infiltration properties can be predicted by transforming the unique connectivity function that was defined for a designated microtopography
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