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In this paper a general methodology for modeling the components with mechanistic models has been explained and is further illustrated with an example component.
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Mechanistic models have been constructed to account for the results obtained.
Mechanistic models have proven to be accurate tools for the numerical analysis of the hydraulic behavior of Low Impact Development (LIDs) techniques.
Accordingly, separate mechanistic models have been proposed to predict the aforementioned parameters for bubbly, slug, falling film and annular flow distributions.
Inspired by a long and successful history of mechanistic modeling in other biomedical fields, we highlight several areas of HPV research where mechanistic models have the potential to advance the field.
Few mechanistic models have been developed, reflecting the challenge in accurately simulating pollen-mediated gene flow by wind or insects; such models have not been validated for commercial field scenarios.
However, large-scale mechanistic models have scarcely been used in control algorithms and, therefore, issues arising from embedding these process models in APC applications have not been addressed satisfactorily.
Given the availability of long meteorological records, mechanistic models have the potential to develop continuous water quality records, but such predictions suffer from systematic biases on both streamflow and water quality constituents.
Despite empirical evidence that infiltration plays an important role in controlling the transfer of chemicals from soil to surface runoff, few mechanistic models have been tested under both infiltrating and non-infiltrating conditions.
Over the past century, various mechanistic models have been developed to estimate the magnitude of seed dispersal by wind, and to elucidate the relative importance of physical and biological factors affecting this passive transport process.
In addition, some empirical and mechanistic models have been developed for cuttings transport (Clark and Bickham 1994; Larsen et al. 1997; Nguyen and Rahman 1998; Kelessidis and Bandelis 2004; Loureiro et al. 2010; Piroozian et al. 2012).
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