Modelling and simulation of ecological propagation processes: application to fire spread

Muzy, Alexandre; Innocenti, Eric; Aïello, Antoine; Santucci, Jean-François; Santoni, Paul‐Antoine; Hill, David R.C.

doi:10.1016/j.envsoft.2004.04.011

Cited by 35 publications

(22 citation statements)

References 49 publications

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“…UML provides a number of diagrams especially for describing a software system. However, we as well as other authors (e.g., Muzy et al, 2005) recognize that UML can be used not only for representing the implementation, but also for the domain knowledge of the scientists. This domain knowledge is composed of a structural part describing the concepts translated into the model's variables and their relations and a dynamic part describing the processes.…”

Section: Building the Conceptual Modelmentioning

confidence: 99%

An iterative construction of multi-agent models to represent water supply and demand dynamics at the catchment level

Farolfi¹,

Müller²,

Bonté³

2010

Environmental Modelling & Software

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a b s t r a c tCompanion Modelling (ComMod) is an iterative approach of modelling in interaction with local stakeholders. KatAWARE is a multi-agent model constructed through a ComMod process with the Water User Association of the Kat River Valley, Eastern Cape, South Africa. By describing the construction of the KatAWARE model, the aim of this paper is to propose a detailed methodology to formalize and to systematize the modelling phases of Companion Modelling. The Kat River catchment will serve as case study for the application of the proposed methodology. This methodology is composed of four steps: (1) the specification of the structure of the system, its dynamics and the indicators one wants to monitor, (2) the description of the initial state of the simulation, (3) the implementation of the model which can take the form of a computer program or of a role-playing game, (4) the reflection step to criticize the model and to propose further improvements. For the first two steps, we propose to use a representation based on the Unified Modelling Language.

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Section: Building the Conceptual Modelmentioning

confidence: 99%

An iterative construction of multi-agent models to represent water supply and demand dynamics at the catchment level

Farolfi¹,

Müller²,

Bonté³

2010

Environmental Modelling & Software

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“…The ultimate goal is to produce simulation models that allow the creation of landscape dynamics from changes is patches, basis of spatially explicit biodiversity assessments (Muzy et al, 2005). Therefore, we believe that our approach will provide the development of techniques in the scope of landscape ecology by creating expeditious interfaces with Geographic Information Systems, which will make the methodology more instructive and credible to decision makers and environmental managers (Costanza, 1992;Santos and Cabral, 2004 from specific estimation back into the original units.…”

Section: ) Predators and (5) Total Taxamentioning

confidence: 99%

Simulating the Effects of Anthropogenic Disturbances in Landscape Patches: An Application in North Portugal

Santos¹

2011

Appl Ecol Env Res

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Abstract.A simple methodology was applied with the purpose of understanding the effects of anthropogenic disturbances in the biodiversity of landscape patches, namely by using Soil Surface Dwelling Arthropods as relevant indicators in changing scenarios. The goal of the present paper is to apply and extend the above academic concepts to landscape management, and to demonstrate the potential of a Stochastic Dynamic Methodology in implementing the respective actions. Since many of the ecosystem phenomenological aspects are the result of whole-system properties, the main purpose of the Stochastic Dynamic Methodology is to promote a mechanistic understanding of the holistic ecological processes, based on statistical parameter estimation methods. In this perspective, the proposed protocol is compatible with most activities undertaken by conventional ecological science, i.e., pattern seeking, the ability to explain past and present states, and the ability to predict future states. Additionally, in contexts relating to landscape management, the results of the Stochastic Dynamic Methodology applied to monitoring and restoration activities are intuitive and can be easily communicated to non-experts (ranging from students to resource users and senior policy makers).

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“…The use of the object-oriented paradigm provides a clear and consistent approach of the representation of the identified knowledge, through the combined use of UML class and activity diagrams, respectively for descriptive and procedural/reasoning knowledge. Furthermore, UML provides a common means of communication between knowledge engineers and domain experts (Muzy et al, 2005). Finally, this formalization provides a template for implementing our knowledge-based system and simplifies the knowledge reuse and modification (Papajorgji and Shatar, 2004).…”

Section: Presentation Of the Approachmentioning

confidence: 99%

River model calibration, from guidelines to operational support tools

Vidal¹,

Moisan²,

Faure³

et al. 2007

Environmental Modelling & Software

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Manuscript AbstractNumerical modelling is now used routinely to make predictions about the behaviour of environmental systems. Model calibration remains a critical step in the modelling process and different approaches have been taken to develop guidelines to support engineers and scientists in this task. This article reviews currently available guidelines for a river hydraulics modeller by dividing them into three types: on the calibration process, on hydraulic parameters, and on the use of hydraulic simulation codes. The article then presents an integration of selected guidelines within a knowledge-based calibration support system. A prototype called CaRMA-1 (Calibration of River Model Assistant) has been developed for supporting the calibration of models based on a specific 1D code. Two case studies illustrate the ability of the prototype to face operational situations in river hydraulics engineering, for which both data quality and quantity are not sufficient for an optimal calibration. Using CaRMA-1 allows the modeller to achieve the calibration task in accordance with good calibration practice implemented in the knowledge base. Relevant reasoning rules can easily be added to the knowledge base to extend the prototype range of applications. This study thus provides a framework for building operational support tools from various types of existing engineering guidelines.

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Modelling and simulation of ecological propagation processes: application to fire spread

Cited by 35 publications

References 49 publications

An iterative construction of multi-agent models to represent water supply and demand dynamics at the catchment level

An iterative construction of multi-agent models to represent water supply and demand dynamics at the catchment level

Simulating the Effects of Anthropogenic Disturbances in Landscape Patches: An Application in North Portugal

River model calibration, from guidelines to operational support tools

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