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Índices de rugosidad y estimación del almacenamiento temporal de agua en un terreno de cultivo

Roughness indices and estimation of temporal depressional storage in a cropped land
Authors: Vidal-Vázquez, Eva; Taboada-Castro, María Mercedes;

Índices de rugosidad y estimación del almacenamiento temporal de agua en un terreno de cultivo

Abstract

[Abstract] Soil surface roughness is considered an important parameter which affects hydraulic properties of the soil surface. The evaluation of maximum water depressional storage (MDS), i.e. the absolute volume of water which can be stored at a rough surface before water runoff starts, will improve the results of overland flow modelling at a catchment scale. An amount of 25 roughness measurements in a cropped land were measured from December 1998 to May 1999 after mouldboard plough. A pinmeter was used for elevation measurements using a 2 cm x 2 cm grid on ca. 1.80 m 2 plots. Four roughness indices: random roughness, limiting elevation, limiting slope and tortuosity were calculated. Subsequently the temporary water retention was estimated. MDS showed a great variability ranging from 1.76 l/m2 to 20.36 l/m2.

Country
Spain
Related Organizations
Keywords

Roughness indices, Microrelief, Depressional storage, Pinmeter

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green