Abstract
Predicting and studying the dynamics and properties of environmental systems necessitates the construction and simulation of mathematical models entailing different levels of complexities. Such type of computational experiments often require the combination of discrete and continuous variables as well as processes operating at different time scales. Furthermore, the iterative steps of constructing and analyzing environmental models might involve researchers with different background. Hybrid Petri nets may contribute in overcoming such challenges as they facilitate the implementation of systems integrating discrete and continuous dynamics. Additionally, the visual depiction of model components will inevitably help to bridge the gap between scientists with distinct expertise working on the same problem. Thus, modeling environmental systems with hybrid Petri nets enables the construction of complex processes while keeping the models comprehensible for researchers working on the same project with significantly divergent education path. In this paper we propose the utilization of a special class of hybrid Petri nets, Generalized Hybrid Petri Nets (GHPN), to model and simulate environmental systems exposing processes interacting at different time-scales. GHPN integrate stochastic and deterministic semantics as well as other types of special basic events. Moreover, a case study is presented to illustrate the use of GHPN in constructing and simulating multi-timescale environmental scenarios.
Highlights
The process of constructing and analyzing environmental systems is increasingly becoming a complex procedure (Seppelt et al, 2009; Uusitalo et al, 2015)
We focus on a particular class of hybrid Petri nets, Generalized Hybrid Petri nets (GHPN ) (Herajy and Heiner, 2012), as a promising tool for model-based exploration of environmental systems
In the Result section, we provide a case study to illustrate the use of Generalized Hybrid Petri Nets (GHPN) for modeling environmental systems, namely the simulation of infection transmission of Chagas disease
Summary
The process of constructing and analyzing environmental systems is increasingly becoming a complex procedure (Seppelt et al, 2009; Uusitalo et al, 2015). Complex environmental systems require the collection and analysis of various data and information that cannot be tackled by researchers coming from just one area of expertise (Seppelt et al, 2009). For instance in Khoury et al (2013) construct a simple, but elegant ODEs model to study food and population dynamics in honey bee colonies. Such a continuous approach cannot capture the effect of seasonal variations
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