However, DRS differs from continuous simulation in that it is event-based and does not simulate every time slice.
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Continuous simulations may be applied to represent discrete phenomena, but the resulting simulations produce extraneous or impossible results for some cases.
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A continuous simulation of population dynamics represents an approximation of the population effectively fitting a curve to a finite set of measurements / points.
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DRS combines the event-based timing of discrete-event simulation ( DES ) and the continuous variables calculations found in continuous simulation.
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Because discrete-event simulations do not have to simulate every time slice, they can typically run much faster than the corresponding continuous simulation.
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It also includes a number of features that were not included in HEC-1, such as continuous simulation and grid cell surface hydrology.
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For example, using a continuous simulation to model a live population of animals may produce the impossible result of 1 / 3 of a live animal.
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In discrete-event simulations, as opposed to continuous simulations, time'hops'because events are instantaneous the clock skips to the next event start time as the simulation proceeds.
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Modeling linear flow systems using continuous simulation has limitations because it usually is unable to detect important events, such as a tank becoming full or empty, until after the event has occurred plus requires many more system recalculations during the course of the simulation.
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