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Comparisons of local infiltration-excess, overland flow and associated erosion behaviour with river behaviour at the catchment scale
overland flow erosion catchment scale
2015/1/4
Modeling overland flow and erosional behaviour is a very important scientific task today to prevent environmental impacts from human activities as well as physical disasters such as floods and deserti...
A contribution to understanding the turbidity behaviour in an Amazon floodplain
contribution turbidity behaviour Amazon floodplain
2010/3/5
Observations of turbidity provide quantitative information about water quality. However, the number of available in situ measurements for water quality determination is usually limited in time and spa...
Modelling the inorganic nitrogen behaviour in a small Mediterranean forested catchment,Fuirosos (Catalonia)
inorganic nitrogen behaviour Mediterranean forested catchment Fuirosos
2010/3/5
The aim of this work was to couple a nitrogen (N) sub-model to already existent hydrological lumped (LU4-N) and semi-distributed (LU4-R-N and SD4-R-N) conceptual models, to improve our understanding o...
Soil water storage and groundwater behaviour in a catenary sequence beneath forest in central Amazonia：II. Floodplain water table behaviour and implications for streamflow generation
Soil water storage groundwater central Amazonia streamflow generation
2009/6/8
Valley floor groundwater level data collected during the ABRACOS project (Gash et al. 1996), and published streamflow data from small forested catchments in geomorphologically similar areas nearby hav...
Soil water storage and groundwater behaviour in a catenary sequence beneath forest in central Amazonia：I. Comparisons between plateau, slope and valley floor
Soil water storage groundwater central Amazonia plateau valley floor
2009/6/8
Soil water storage was monitored in three landscape elements in the forest (plateau, slope and valley floor) over a 3 year period to identify differences in sub-surface hydrological response. Under th...
Hydrological model evaluation and identification essentially involves extracting and processing information from model time series. However, the type of information extracted by statistical measures h...