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Evolution of modelling approaches has led to the use of multiple GCMs and hydrologic models to create an envelope of future conditions that reflects the probability distribution.
Studying enzymatic and chemical hydrolysis of lignocellulosic biomass based on experimental and modelling approaches has been extensively reviewed elsewhere (Van Dyk and Pletschke 2012; Bansal et al. 2009; Meng and Ragauskas 2014; Hodge et al. 2009; Geddes et al. 2010; Sun and Cheng 2002).
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Both modelling approaches have been extensively tested, showing advantages and limitations.
Modelling approaches have been inconsistent and are species, site and characteristic specific.
To overcome this lack-of-data-problem, spatial generalisation and modelling approaches have been developed.
In this paper, Bayesian networks and ensemble modelling approaches have been applied to establish the error bounds.
Computational Fluid Dynamics using RANS-based modelling approaches have become an important tool in the internal combustion engine development and optimization process.
A wide variety of modelling approaches have been tested to simulate urban expansion; however, the effectiveness of simulations of the spatial structure of urban expansion remains unexplored.
Its effective sustainability depends greatly on the spatial location of this crop, although few modelling approaches have been based on real maps.
Modelling approaches have been used to assess the relative contribution of microplastics as vectors to the overall uptake of hydrophobic organic pollutants by A. marina [187, 188] and piscivorous fish [104].
Recent modelling approaches have also considered the different wood constituents such extractives, cellulose or lignin, which undergo, owing to their chemical resistance, different decomposition dynamics (Tuomi et al. 2011).
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