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Daniel Allasia

Researcher at Universidade Federal de Santa Maria

Publications -  51
Citations -  1235

Daniel Allasia is an academic researcher from Universidade Federal de Santa Maria. The author has contributed to research in topics: Adsorption & Biosorption. The author has an hindex of 16, co-authored 47 publications receiving 828 citations. Previous affiliations of Daniel Allasia include Universidade Federal do Rio Grande do Sul.

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The MGB-IPH model for large-scale rainfall—runoff modelling

TL;DR: In this paper, a large-scale distributed hydrological model is described, which has been used in several large river basins in Brazil, including the Taquari-Antas River basin.
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Medium-range reservoir inflow predictions based on quantitative precipitation forecasts

TL;DR: In this paper, a large-scale hydrological model applied to part of the Paranaiba river basin between Itumbiara and Sao Simao power plants (75,000 km 2 ) using precipitation forecasts from the regional Eta model run by the Brazilian Center for Weather Prediction (CPTEC) was compared with those from the currently-used ARMA model and it was shown that forecast errors can be reduced considerably, during both wet and dry seasons.
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Coupled Hydrologic-Hydraulic Modeling of the Upper Paraguay River Basin

TL;DR: In this paper, a detailed modeling of rainfall runoff processes and flow routing along a complex large-scale region, the Upper Paraguay River Basin (UPRB), encompassing a drainage area of approximately 600,000 km2, which extends over Brazil, Paraguay, and Bolivia.
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Utilization of Pacara Earpod tree (Enterolobium contortisilquum) and Ironwood (Caesalpinia leiostachya) seeds as low-cost biosorbents for removal of basic fuchsin.

TL;DR: The biosorption process was spontaneous, endothermic, and favorable for both biosorbents, and the Langmuir and the Tóth models were the best for representing the equilibrium curves for the basic fuchsin on the Pacara Earpod and the Ironwood.
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Large-Scale Hydrodynamic Modeling of a Complex River Network and Floodplains

TL;DR: In this paper, a one-dimensional hydrodynamic modeling of a large-scale river network and floodplains is presented, where the main issues are related to preparing input data for the hydraulic model in a consistent and georeferenced database and representing different flow regimes.