Pierre Mazzega

occupation / activités professionnelles

Projects 29 septembre 2010

Several projects and initiatives for the future (with international partnerships: Europe, Brazil, Congo, India) are under construction and will be referenced in these pages as soon as funded. But most of them are related to the following two main on-going projects:

Modeling the impacts of environmental norms

Projet MAELIA « Multi-Agent for Environmental Norms Impact Assessment »

Financement RTRA STAE Toulouse 2009-2012. Resp. : P. Mazzega. Laboratoires impliqués : LMTG, IRIT (coord. F. Amblard), AGIR/INRA (coord ; D. Leenhardt) et MSHS- Toulouse 2 (coord. B. Jouve).


The MAELIA project has two main objectives: 1 – to develop a platform for modeling the dynamic interactions between renewable natural resources (RNR) and normative management. By « norms » we mean the set of social, institutional and legal rules governing those uses and management practices; 2 – to conduct comparative studies of socio-environmental (a) of different normative systems management resources and environment in a given socio-environmental system; (b) of a given normative system in various socio-environmental contexts.

The impact analysis as it stands, thanks to the flexibility of numerical simulation and safety (compared to actual implementation) of in silico experiments, opens a wide field of exploration for the design of new schemes of governance and resources and environmental management. The platform is being established through a dialogue with policy makers.

Since January 2009 we focus on four main objectives: 1) create a framework for an effective dialogue to build a truly interdisciplinary knowledge (through the building of an ontology and of a common linguistic referential); 2) identify the network of actors involved in the use or management of the resources and formalize their interests, actions and strategies; 3) identify and interpret / formalize the institutionalized framework of management resources (water at the top) in particular at the level of the Adour-Garonne basin  (SDAGE Adour-Garonne 2010-2015); 4) develop the first « demo » which is our virtual laboratory experiment, a GIS, and the architecture of the simulation hybrid platform.

The demo also allows the setting up of the basic options associated with the development of the generic platform and test the relevance of these choices: formalization of links between agents, resources, actions and norms, choice of language, interoperability with standard PDEs models or information systems including GIS. It is also a research tool since it requires opposing points of view and extracting disciplinary formalisms that can be shared, and implemented.

Amazonian Hydrological Forecast

MORPHEAU[1] : Projet EC2CO / INSU (2010 – renouvelable 2011 ; resp. P. Mazzega). Equipes impliquées : personnels du LMTG/GET, de l’UMR ESPACE-DEV (IRD), de GEOMETRICA (INRIA), du LMI OCE (Brasilia) et de l’ORE HyBAm.
ADEPREV[2] : Projet COFECUB submitted in spring 2010 (resp. scientifique : M.-P. Bonnet IRD et W. Collischonn IPH/UFRGS).

Hydrological modeling should allow better constraining the processes of transfer of water and associated elements in large tropical basins. This research topic is the subject of numerous studies in France and in the world, under increasing pressure from climate change issues and the issue of greenhouse gases. On the other hand, the ERO HyBAm has for years been a large database on many hydrological and water quality, otherwise not observed at regular time in most countries constituting the border of the Amazon basin. However current models are relatively inadequate to meet the needs of the local hydrological forecasting (law water and flood prediction, extension of floodplains, etc.).

The MORPHEAU project lays the groundwork for a platform of « hydrological forecast » based on three specific options: a) the choice of the Amazon basin as a whole; b) an approach to hydrological prediction based on available data only; c) a nonlinear/geometric methodology for analysis and forecasting. It is to explore the mathematical tools of non linear time series analysis and forecasting, and the geometric inference to apply to hydrological forecasting based solely on available data. At first we restrict the exploration of the forecast to the heights of rivers and flows.

The hydrological forcast platform will be then implemented and adpated for the basin of the Congo river.

[1] MORPHEAU : « MORphismes pour la Prévision Hydrologique En Amazonie ».

[2] ADEPREV : « Assimilation de Données de Monitoring Spatial pour la Prévision hydrologique »