Forest Fire Spread and Suppression in DEVS

Abstract

In this article, the authors discuss modeling and simulation of forest fire spread and suppression using the discrete event system specification (DEVS) cell space approach in DEVSJAVA. The event-based modeling approach enables efficient simulation of cell space and allows one to obtain timely simulation-based predictions of forest fire spread and suppression in uniform and nonuniform environmental conditions. This model represents an advance toward developing a real-time decision support simulation system for predicting forest fire spread and the effects of water-based suppression attempts.

Managing Hybrid Model Composition Complexity: Human–Environment Simulation Models

“…The concept of aggregate model complexity (i.e., composition complexity) is especially relevant for multimodeling approaches that have been under development for engineered systems and, to a lesser extent, for socioecological systems. In some cases (e.g., agent/cellular DEVS (Ntaimo et al 2004)), the complexity of hybrid model development may be explained in terms of both a modeling approach and the software toolkit. With an emphasis on the composition of models, this paper's focus is aggregate model complexity and choosing a model composition approach that helps to manage it.…”

Distributed Simulation and Web Map Mash-Up for Forest Fire Spread

“…Cell-DEVS is a variant of DEVS (Discrete-Event Systems specifications), a modeling and simulation formalism that provides a mathematical representation of discrete-event systems [7]. Numerous studies have showed that DEVS is suited for the simulation of fire spread (including [8,9] and numerous others). Cell-DEVS is also widely used for this purpose thanks to its natural support for spatial relations and explicit timing constructions [ 2,5,10].…”

Performance Improvement Using Parallel Simulation Protocol and Time Warp for DEVS Based Applications

“…Then a complex application DEVSFIRE [20] is tested and the output result is presented. Both two simulations (also including simulations in the next sub-section) were conducted on a Dell Server P6600 with 8 Intel® Xeon™ MP 2.80GHZ processors, 7.50G memory, and Windows 2003 OS running DEVS C++ version.…”