International projects
A tool for monitoring and forecasting Available WAter REsource in mountain environment
Researchers (1)
| no. |
Code |
Name and surname |
Research area |
Role |
Period |
No. of publicationsNo. of publications |
| 1. |
08379 |
PhD Mitja Brilly |
Hydrology |
Head |
2005 - 2008 |
1,087 |
Organisations (1)
Abstract
The aim of the AWARE project is to provide innovative tools for monitoring and predicting of water availability and distribution in those drainage basins where snowmelt is a major component of the annual water balance, a common condition in Alpine catchm ents. Recent droughts observed in these basins call for the need of an efficient technology to predict medium and long-term flows for sustainable water resources management. The project will develop appropriate mathematical models to represent snow-pack dynamics and snowmelt runoff. These models will be expressly designed to integrate Earth Observation data and in-situ hydrological and meteorological measurements, introducing therefore a novel approach to the representation of the involved physical pro cesses in time and space. Model innovation stems with the enhanced capability of Earth Observation data to provide continuous information on state variables, that can be poorly accounted for using the traditional approach based on input-output control. Model calibration, validation and demonstration will be performed for representative catchments of different geographic conditions (climate, geology, geomorphology, hydrography) in the European Alps. Models will be implemented in a geo-service for tailor ing data and models to different environments under an integrated, but modulated approach capable of effective addressing the specific problems raising from different stakeholders, these including water policy makers, economic (hydropower companies, irr igation schemes, municipal water supply), and social (regional, basin and municipal authorities, citizens) stakeholders. The geo-service, fully compliant with the architecture of the Inspire initiative, will be capable of coupling global and local data to compute, archive, upgrade and distribute snow derived information.
