GIS Oracle > Research

Research

ORACLE is a research observatory of managed and rural catchments, developing studies on floods, low water periods, water quality and impact of human activities on the environment, Its primary goal is to identify flow and pollutants transfers processes at various scales, by the implementation of a perennial observation device, in order to improve I) our understanding of water quality processes and II) forecast and prevention of the risks related to the extreme hydrological events.

 

These objectives result in three main themes of research :

Transfers of water and polluants– Modeling of processes

  • Identify dominant hydrological and biogeochemical processes in units (or catchments) operation on various scales
  • Treat on a hierarchical basis these processes according to the scale, in order to streamline the construction of modelling tools
  • Estimate anthropic activities impacts and evaluate possible evolutions

Risk forecast– Modelling of flows

  • Characterize hydrological behavior at catchment scale
  • Exploit information and variables adapted to Rain-Flow models
  • Develop and calibrate models on various space-time scales

Measurement strategies and modes of system representation

  • Optimize acquisition methods, data validation and storage
  • Exploit raw real data in forecasting models
  • Modelling strategies and data assimilation

 

Through ORACLE objectives, interdisciplinary research projects calling on hydrology, ecology, biogeochemistry, microbiology, soil physics or remote sensing, were elaborated. In these projects various research teams are involved, but also operational personnel, environment actors (i.e. Meteo France, local communities, farmers….). 

  

Specific data 

Soon, you will be able to consult here the metadata related to the specific data of the GIS ORACLE. The specific data comes from the various research works carried out on the experimental site or within the framework of the GIS. You will also be able to post your own metadata.

These metadata will allow a better coordination of research, but also a better use of the various observations carried out on the site. This should streamline the interdisciplinarity objectives of our research, as well as its organization. The goal is also to optimize the instrumentalisation of the experimental site for the service of the greater number.